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Wednesday, April 15, 2026

Trump taps into anti-Catholicism that's 'baked into' US political culture: historian


Pope Leo XIV leads a prayer vigil, ahead of Pentecost Sunday, in St. Peter’s Square at the Vatican, June 7, 2025. REUTERS/Guglielmo Mangiapane

April 13, 2026
ALTERNET


Catholics are by and large reacting very negatively to President Donald Trump’s repeated attacks on Pope Leo XIV.

Despite denying reports that Trump officials tried to bully a Vatican representative several months ago, on Sunday the president posted a lengthy diatribe lambasting the Pope. Denouncing him as “Weak on Crime” and “Weak on Nuclear Weapons,” Trump included an AI-generated image of himself as a Jesus-like figure healing the sick with patriotic iconography in the background. He later claimed he thought the image showed him as a doctor and promoted the Red Cross before taking down the post entirely.

Trump is criticizing the Pope because Leo XIV, who was born in America as Robert Prevost, has urged him to treat immigrants more humanely and cease his unprovoked wars against Venezuela and Iran. In response to Trump’s recent posts, the Pope noted that the president did so on a social media platform he owns called Truth Social.


"It's ironic, the name of the site itself,” the Pope said. “Say no more.”

Speaking to AlterNet about Trump’s anti-Pope statements, Christendom College associate professor of history Dr. Christopher Shannon explained that he is participating in a larger history of U.S. anti-Catholic sentiment.


“Anti-Catholicism is baked into Anglo-American political culture,” Shannon told AlterNet. “During the Revolution, patriot leaders from [future president] John Adams to Thomas Paine repeatedly denounced British oppression in language drawn directly from earlier denunciations of the Catholic Church. For example, in Common Sense, Paine likened monarchy to ‘popery.’”

Shannon elaborated on how the so-called American Party thrived during the mid-19th Century on a platform of opposing mass immigration, especially from Catholics. Millard Fillmore, then a former president, won the second-highest vote ever accrued for a third-party candidate (22 percent) when he ran in the 1856 presidential election on an explicitly anti-Catholic ticket.

“Even up to 1960, [America’s first Catholic president John] Kennedy had to respond to a fear of a papal takeover of America were he to be elected,” Shannon pointed out. “Popes [e.g., Leo XIII (1878-1903)] sometimes had good things to say about America, yet no pope clearly endorsed modern democracy and religious pluralism, so the papacy was always suspect in the eyes of non-Catholic Americans. In 1965, the Second Vatican Council, under Pope Paul VI, issued a document that finally affirmed the legitimacy of democracy and religious pluralism. After that, tensions greatly decreased.” Yet even then, President Ronald Reagan aroused controversy from anti-Catholic groups when he appointed an ambassador to the Vatican City in 1984 — the first such diplomat in US history.


It is into this fraught context that Trump stepped when he attacked the Pope, a decision Shannon speculated was made because “Trump thinks [it] is about him. He thinks everything is about him.” He disagreed with Trump’s insinuation that Leo XIV owes his papacy to the idea that he would somehow be a pro-Trump pope.

“As far as Leo XIV, I suppose his status as an American had something to do with his election, but it is important to remember that he is as much the second Latin American pope (after Francis) as he is the first United States pope,” Shannon wrote. “Most of his episcopal career has been in Peru. He certainly had no public profile in the Church in the United States. He cannot be pigeon-holed into either of the ‘liberal’ or ‘conservative’ sides of the internal Catholic culture war. Though American by birth, he is perhaps the least American of bishops because he refuses to take sides in what, considering the global nature of the Catholic Church, is a very petty squabble.”

Given that Pope Leo XIV has a global rather than specifically American outlook to his papacy, American Trump supporters (including, as the president pointed out, the Pope’s big brother and Navy veteran Louis Prevost) now need to choose between their loyalty to basic Catholic principles and their loyalty to the president. Drawing from recent history to understand precedents, Shannon predicted they would do so by ignoring seeming contradictions between their religious and their political beliefs.


“John Paul II and Benedict XVI both spoke out against the second Iraq War [when they were popes], but American Catholics did not, as a unified people, follow their lead,” Shannon told AlterNet. “Conservative Catholics supported the war for conservative reasons, liberal Catholics opposed the war (mostly) for liberal reasons. I do not see the recent dust up between Trump and Leo changing this. Catholic Trump supporters will likely dismiss this as ‘Trump being Trump,’ and anti-Trump Catholics didn’t need any more reasons to oppose Trump.”

Landon Schnabel, an associate professor of sociology at Cornell University, argued that Trump’s attack against the Pope could fray the already-tenuous alliance between Christian evangelicals and Catholics.

“The Catholic-evangelical alliance that anchors the religious right was always more fragile than it appeared,” Schnabel said in a statement. “Catholics and evangelicals were adversaries for most of American history — John F. Kennedy had to reassure voters his pope wouldn't run the country. They eventually built a coalition around shared cultural traditionalism: abortion, family, sexuality, and religious authority in public life. That project held for four decades.”

Schnabel added, “But coalitions forged on one set of issues are vulnerable when new issues expose the theological differences underneath. The Iran war is doing exactly that. Defense Secretary Hegseth prays at the Pentagon for ‘overwhelming violence’ in the name of Jesus Christ and frames the war as divinely ordained. Pope Leo quotes Isaiah in response: God ‘does not listen to the prayers of those who wage war.’ Two traditions that agreed on abortion have very different theologies of war. Conservative Catholics who have supported Trump may now feel the need to decide between him and the pope.”


Kim Haines-Eitzen, a Cornell professor of ancient Mediterranean religions and expert on early Christianity, had a scathing assessment of Trump’s AI image of himself as Christ.

“Throughout Christian history, there have been many who claimed to be Christ or claimed Christ’s divine authority,” Haines-Eitzen explained in a statement, citing infamous cult leaders like Sun Myung Moon, Jim Jones, Charles Manson and David Koresh of the Branch Davidians.

“The question now is whether Trump’s so-called Christian base will be willing to speak out against what has long been considered blasphemy throughout Christian history,” Haines-Eitzen added. “It is one thing for Christian preachers and leaders to encourage fellow Christians to live in Christ-like ways — giving to charity, caring for the poor, offering forgiveness. It is another thing for a president to present himself as Christ.”

Speaking to ABC 7 Chicago, a major regional news network from the Pope’s home (the Chicago metropolitan area), a pair of ordinary Catholics expressed dismay at Trump’s statements about the Pope.


“As a Christian and a Catholic, I've had enough,” said one man wearing a Chicago Cubs cap. (The Pope’s favorite baseball team are the Cubs’ crosstown rivals, the Chicago White Sox.) “I've just had enough. I've supported many things he's done. I'm actually in favor of what we're doing in Iran, but this country needs real leadership, and what we're getting now is an absolute disgrace. And Americans need to stand up because it's disgusting.”

Similarly a self-described Catholic parishioner said “I think it's deplorable that the President of the United States would take aim at our first American pope. And instead of working together and having an understanding, to attack is the wrong way to do it.”

Among Catholics in Long Island — which is home to 1.2 million baptized Catholics, one of the largest dioceses in the country, and is near Trump’s childhood home of Queens — there is similar disapproval. Bishop John Barres, head of the Diocese of Rockville Centre, said that his diocese joins "Pope Leo XIV in calling for peace, especially in the Middle East and in places where Christians are persecuted for their faith. We pray for and support our Holy Father in the mission of Christ's mercy and the proclamation of the Gospel—Blessed are the peacemakers."

Richard Koubek, a former public policy advocate at Catholic Charities on Long Island, told Newsday that "President Trump, who revels in the support of Christian nationalists, thinks Pope Leo is ‘too liberal.' That is quite ironic since Leo is simply proclaiming ancient Christian values that emphasize peace, care for the poor and marginalized. ... Does he think the Gospels are too liberal?"


A pro-Trump Catholic named Mike Ferrara said that while he agrees with Trump over the Pope on specific policy issues, he is unhappy with Trump’s disrespectful tone.

"I’m a Trump supporter,” Ferrara said. “I like Trump. But the way he talks about the pope, I’m not really thrilled about that. The pope is the leader of our church. As a Catholic, I don’t want to see the pope get attacked."

Regarding the AI image, Ferrara argued that "you don’t emulate Jesus Christ. Jesus Christ is Jesus Christ."

Trump’s attack on the Pope is also unpopular in Nashville, a Tennessee city with a large Catholic population and influential Catholic voices like right-wing commentators Michael Knowles and Candace Owens.

“I assumed someone has already told him, but it behooves the President both spiritually and politically to delete the picture, no matter the intent,” Knowles said on social media. Meanwhile Owens, reflecting on the rumored 2028 presidential ambitions of Trump’s Catholic vice president, posted on social media that Trump’s war with the Pope “will be consequential for JD Vance.”

Even in Italy, the nation where the Vatican is effectively located, the Italian prime minister disregarded the fact that both she and Trump are right-wingers to slam his attacks on Pope Leo XIV.

“I find President Trump’s remarks about the Holy Father unacceptable,” Meloni said in a statement. “The Pope is the head of the Catholic Church, and it is right and proper that he call for peace and condemn all forms of war.”

Italian politicians across that country’s political spectrum agreed with Meloni’s position.

 

Hungary's new Prime Minister Magyar moves fast to consolidate power and take down the Orban system

Hungary's new Prime Minister Magyar moves fast to consolidate power and take down the Orban system
Elected only a few days ago, the new Hungarian PM has moved fast to take down the Orban system. He announced he would shut down the state TV, force the president to resign and launched a massive clean up operation to reclaim billions of euros of assets stolen by the former government. / bne IntelliNewsFacebook
By Ben Aris in Berlin April 15, 2026

Acting quickly to consolidate his power and remake the political scene, Hungarian Prime Minister Peter Magyar detonated several political bombs in a single day on April 15.

First we gave a televised interview and told the pro-Orban state TV he was shutting it down, calling it a “factory of lies” and “not telling the people the truth” under his predecessor. Magyar went on to meet with Hungarian President Tamas Sulyok, who he told to quit immediately or face forced expulsion. Finally, he said that Budapest would continue to veto the release of a €90bn EU loan for Ukraine until oil flows from via the Druzhba pipeline resume.

Magyar was swept to power with a landslide victory on April 12 that handed him a constitutional majority of two thirds, putting his Tisza party in complete control of the country.

Going into the elections he warned that he would undo many of the reforms made by his predecessor Viktor Orban and sack the placeholders in government from the Fidesz party.

Lifting Hungary's veto on the blocked Ukraine loan is amongst the most urgent business as Kyiv is running out of money and faces macroeconomic collapse without fresh funding soon. Magyar said he will vote through the EU loan once the Druzhba pipeline resumes operations.

Supplies were halted in January after a drone attack damaged the pipeline, which Orban blamed on Ukraine and blocked the release of the funding. Magyar has taken the same line as Orban: “no oil, no money.”

Ukrainian President Volodymyr Zelenskiy said on April 14 that the pipeline is now repaired and flows would resume by the end of April, but not at full capacity.

Following a meeting with President Tamas Sulyok, Magyar said Hungary's new parliament would likely meet on May 6 or 7.

"The​President has informed me that he will ​ask me at the inaugural session of ⁠the ​new parliament ​to be Prime Minister ​and form a government, as the leader ​of ⁠the party that got the ⁠most votes," Magyar said.

President out

Magyar took an equally blunt line in a meeting with Hungary's President Tamas Sulyok: he told him to voluntarily leave his office or Tisza would use its super-majority in parliament to force the president out.

Sulyok is widely seen as an Orban ally and as president has the power to veto laws that would stymie the sweeping changes that Magyar has promised to make.

Magyar said in a social media post: “I have arrived at the Sandor Palace to meet the President of Hungary. [Tamas Sulyok] is unworthy of representing the unity of the Hungarian nation. He is unfit to serve as the guardian of legality. He is not fit to serve as a moral authority or a role model. Following the formation of the new government, Tamas Sulyok must leave office immediately.”

Sulyok became President of Hungary in 2024, nominated by Orban’s ruling Fidesz party, which holds a parliamentary majority. Before that, he served as President of the Constitutional Court, a role he held since 2016 after also being elected with Fidesz backing. The Hungarian presidency is largely ceremonial, but it carries influence through signing laws, referring legislation to the Constitutional Court, and symbolic leadership.

Magyar is keen to avoid the problems faced by Polish Prime Minister Donald Tusk who is pursuing a liberalisation agenda but is being blocked by Polish president Karol Nawrocki, who is aligned with the opposition Law and Justice (PiS) party and has tied up a lot of Tusk’s legislation by sending it to the constitutional court for review.

Magyar said in comments after meeting the president: “If he does not leave voluntarily, we will use the mandate given to us by the voters. Through constitutional amendments and the necessary legal changes, we will remove him from office. We will remove him and all the other puppets appointed by the Orban system.”

State TV shut

Magyar did not pull his punches during a live interview with the state TV station M1 for the first time, which was another tool used by the popularist Orban to control the media message and promote his own image in the country.

“What has been happening here since 2010 would have made even Goebbels or North Korean dictators blush. No truthful word has been spoken,” he said in the M1 interview.

“We will suspend this channel's news service. This isn't about me; I'm not seeking revenge. Our people deserve journalism that reflects the truth,” Magyar told the host.

Undoing the corruption

Magyar also announced a wide-reaching programme of renationalisation and confiscation of assets deemed to have been given away “for nothing” to state affiliated companies and Orban’s cronies. As IntelliNews reported, Hungary has been considered the most corrupt country in Europe for several years.

“We will nationalize the assets given to businesspeople and foundations during the Orban era,” said Magyar.

Amongst the most glaring deals, the Mathias Corvinus Collegium Foundation, a think tank close to Orban, was gifted 10% of the state-owned oil giant MOL and pharmaceutical company Gedeon Richter for free. “We will take back these shares,” said Magyar. In 2020, the MCC was also granted government funds and assets with a total value of approximately €1.4bn, Brussels Signal reports.

Magyar went on to ridicule some of M1’s more extreme reporting lines, promoted by Orban administration in an echo of Putin’s style of media manipulation, hyping up traditional family values” or blaming everything on the billionaire philanthropist George Soros.

“According to you, Germany has collapsed, there's no internet there, people aren't even having sex. The Hungarian people were laughing at you,” said Magyar. “It was said on this channel that even my young children won't talk to me, when in fact my children live with me.”

When the host tried to interrupt him, he shot back: “No host in this studio ever dared to interrupt Hungary's most corrupt and most lying prime minister.”

He went on to describe a sweeping programme to undo many of the abuses put in place by Orban.

“We will bring back the EU funds. We will join the European Public Prosecutor’s Office, create a national asset recovery authority, and implement other anti-corruption measures.”

“We will make the investigative authorities and judiciary independent,” he said.

“We will also restore academic freedom, returning universities to scholars and research institutes to researchers. We will use EU funds for infrastructure, energy efficiency, and healthcare — not for oligarchs or party loyalists.”

Currently Magyar remains Prime Minister elect but hopes his new government will be sworn in by early May.

Trump breaks silence on Hungary’s election results, Russia adds Budapest to list of unfriendly countries

Trump breaks silence on Hungary’s election results, Russia adds Budapest to list of unfriendly countries
/ Facebook/Viktor OrbanFacebook
By IntelliNews April 15, 2026

After two days of silence following Hungary's historic elections, US President Donald Trump has issued a measured response to the defeat of his ally Viktor Orban, but refrained from openly congratulating his challenger, Peter Magyar. Meanwhile, the Kremlin expressed support for Magyar’s willingness to engage in pragmatic dialogue with Russia, but Budapest was added to the 'unfriendly countries' list.

In an interview with the Italian newspaper Corriere della Sera, Trump referred to Orban as "a friend" and praised his approach to immigration. "He was my friend; this was not my choice, but he was a good man. He handled the immigration issue very well. He didn’t allow people to come in and destroy his country, as happened in Italy," Trump said, emphasising Orban's tough stance on immigration.

So far, the US administration has not sent its congratulations to the new Tisza government. Washington heavily backed Orban’s re-election campaign. US Vice President JD Vance was also dispatched to Budapest as a gesture of support for Orbán, underscoring the close alignment between the two political figures, days before the election.

On Fox News, JD Vance expressed confidence that Washington "would certainly be able to work well" with the new leadership, while describing Orbán as a key political partner of the United States in Europe. He said his recent visit to Budapest ahead of the election was intended as a show of support for a leader who had consistently defended US interests in European Union disputes.

Orban was “one of the few European leaders willing to stand up to a European bureaucracy that behaves badly towards the United States”, adding that in some cases he had been the only EU leader to vote in favour of US interests in disputes involving American companies. The vice president acknowledged that pre-election polling had already indicated the possibility of Orban’s defeat but said the visit was justified as a gesture of political support.

He called Orban’s 16-year premiership “transformative,” saying it had fundamentally reshaped Hungary. Despite expressing regret over Orbán’s defeat, he stressed that the United States would maintain strong relations with Hungary and look forward to cooperation with the incoming government.

Russian presidential spokesman Dmitry Peskov at a press briefing on April 14 said Moscow "positively assesses" the possibility of pragmatic engagement with Hungary, adding that Russia would take its cues from concrete steps taken by the new government. Russia respects the decision of Hungarian voters and seeks to maintain pragmatic relations, but noted that it does not issue formal congratulations to leaders of countries it classifies as "unfriendly".

Hungary was added to that latter category after Peter Magyar defeated pro-Russian leader Viktor Orban in the April 12 elections, RBC-Ukraine noted. Orban was widely seen as Putin’s voice in Europe and repeatedly obstructed European decisions aimed at supporting Ukraine. In the latest election, Orban received full backing from Moscow, which reportedly poured significant resources into boosting the Kremlin-friendly candidate.

Peskov’s comments came after Magyar told international reporters on April 13 that he would not initiate contact with Putin but would accept a phone call if received. The Tisza Party leader also said that, if such a conversation took place, he would urge the Russian president to end the war in Ukraine.

Fielding a question, he described Russia as a security risk for Europe while stressing the need for a pragmatic approach in areas such as energy and economic cooperation. He said a future Hungarian government would aim to diversify energy supplies, although he did not rule out continued imports of Russian energy.

Hungary remains heavily dependent on Russian oil and gas imports, while cooperation with Moscow continues in the expansion of the Paks nuclear power plant, he said.

In related news, Rosatom CEO Alexey Likhachev addressed Magyar’s comments on the Paks 2 nuclear project on April 14, stating the company is ready to justify the project's costs and efficiency. The prime minister-elect, in his first press briefing after the election, called for a review of the contract, citing concerns over overpricing.

Likhachev emphasised that Hungary will benefit from nuclear energy for over 70% of its electricity, boosting energy security and competitiveness. The €12.5bn project, set for completion by 2030-2031, has been developed in collaboration with the IAEA, with all decisions made transparently.

Taking Heart From Hungary to Protect US Elections

Amid Orbán’s takeover of elections, the media, and democratic institutions, the forces of democracy found a way to persevere through public organization and mass outrage. Here’s how we can learn from this during the midterms.


Revellers waving Hungarian flags celebrate the resounding Tisza party win in Hungarian parliamentary elections on April 12, 2026 in Budapest, Hungary.
(Photo by Sean Gallup/Getty Images)

Michael Waldman
Apr 15, 2026
Brennan Center for Justice


This week, autocrat Viktor Orbán conceded defeat in Hungary’s general election. It was a landslide victory for Péter Magyar—and for democracy worldwide.

Over the course of 16 years, Orbán worked to dismantle and undermine democratic institutions. He took control of most news outlets. He rewrote election rules. He replaced judges with loyalists. His government faced numerous corruption scandals, including one surrounding a presidential pardon. He was also a fan favorite of the Trump administration. Our vice president campaigned for him.



‘Hungary Has Chosen Europe’ as Voters End 16 Straight Years of Orbán’s Far-Right Rule


What are the implications of his defeat for democracy in the United States? To be sure, midterm elections often rebuke the party in power, and it’s hard to predict whether this election augurs any November results. But just as Brexit presaged Trump in 2016, worldwide trends are at play. Amid Orbán’s takeover of elections, the media, and democratic institutions, the forces of democracy found a way to persevere through public organization and mass outrage.

In Hungary, one backstop against authoritarian rule has been the European Union. In the United States, perhaps it is the fact that states control elections, largely through a steadfast network of officials across the country who ensure elections are free and fair.

Between now and November, all of us can help make sure election officials know we have their backs.

Today, that network is under immense strain. This week, the Brennan Center released our sixth annual survey of local election officials. It confirmed an alarming pattern: They are worried about the safety and security of the elections they supervise. Half worry about political leaders interfering with how they do their job. Seventy-one percent are actively planning or preparing for potential disruptions. Eighty percent are calling for more funds and support to keep up with election security needs.

These are Republican and Democratic public servants, trying to do their jobs far from the partisan fracas in Washington.

Between FBI raids seizing 2020 election ballots, efforts by the administration to meddle with voting equipment, and federal funding cuts to election security, election officials have many reasons to be alarmed. At the same time, organizations across the country have been working to give election officials the support they need to defend our elections in November.

After the Trump administration gutted the principal federal agency for training election officials and bolstering security, many organizations have jumped in to fill the gap in expertise. The Committee for Safe and Secure Elections, a coalition of current and former election officials and law enforcement, has been offering trainings and tabletop exercises to state and local leaders across the country so they can be prepared for high-stress, legally complex Election Day scenarios and establish lines of communication in case of potential interference.

The Brennan Center has also been working to keep officials informed. We are drafting handbooks for each state that outline relevant laws, suggest scenarios, and help election officials, their counsel, and others who support them to appropriately respond to federal interference

We have also organized a series of courses for hundreds of attorneys who represent election officials to inform them about their rights and responsibilities and to give guidance on how to respond to requests for election data and access to equipment.

There is much more to do. States must step in to fill funding gaps left by the federal government. In the survey, 75% of local election officials said their state or local government has not provided additional resources or funding to address federal cuts. The use of artificial intelligence in elections is also a growing concern that election officials should be informed about.

Between now and November, all of us can help make sure election officials know we have their backs. We can have free and fair, even uneventful, elections this year. We can ensure the perseverance of our democratic institutions. As in Hungary, it will take organization, preparedness, and collaboration.


© 2023 Brennan Center for Justice


Michael Waldman
Michael Waldman is President of the Brennan Center for Justice at NYU School of Law, a nonpartisan law and policy institute that focuses on improving the systems of democracy and justice.
Full Bio >


IN  BUDAPEST ELECTION NIGHT THE HUNGARIAN MASSES JOYOUSLY SANG WE ARE THE CHAMPIONS



Hungary's right-wing corruption continues — thanks to Trump


Former President Donald Trump (L) and Hungarian Prime Minister Viktor Orbán (R) in August of 2022 (Image: Orbán Viktor / Facebook)

April 15, 2026 
ALTERNET


The humiliating demise of Viktor Orban's authoritarian regime is bracing news for endangered democracies, including our own, but America isn't Hungary. Of the parallels that can be drawn between their despot and ours, the most salient may have been commented on the least -- the overwhelming and unprecedented Mafia-style corruption that enriched the ruling family and entrenched their power.

It was the corruption that motivated Peter Magyar, a lifelong loyal appartchik until two years ago, to break with Orban's Fidesz party and inaugurate the campaign to overthrow the regime. It was the corruption that forced the European Union to act against Budapest by withholding billions in funding and isolating its government. And it was the corruption -- so pervasive in Hungary's media, judiciary and business institutions -- that finally drove otherwise conservative Hungarian voters to reject the crooked outfit that had ruled them for 16 years.

Liberals in Hungary celebrated Magyar's election victory, not necessarily because they agree with the new prime minister on every issue -- they don't -- but because he vowed to clean up Orban's legacy of outrageous theft, to enforce accountability and to strengthen the nation's frayed ties with Europe. Relying on his long experience inside the Fidesz machine, Magyar was able to expose its sleazy deals, including a pardon scandal that embroiled his then-wife, who had served as Orban's justice minister.


Like so much of the criminality perpetrated by Orban and his cronies, that pardon affair echoed a train of remarkably similar offenses in the Trump White House. And as Magyar emphasized throughout his innovative grassroots campaign, the cost of Orban's venality fell on ordinary Hungarians, whose national wealth was siphoned off to enrich the dictatorship's cronies.

According to Akos Hadhazy, a leading voice against corruption as an independent member of Hungary's parliament, the Mafia-style graft perpetrated by the Orban regime has looted more than 2.8 billion euros (over $3.2 billion) annually from public funds. Much of that stolen money came from the EU itself, which played a role in the regime's demise by withholding further funds from suspect projects. Among the reasons to renew ties with Brussels, as Magyar often explained, was to facilitate prosecution of the "Orban Mafia" that stole those EU funds.


The details of the Fidesz government's boodling might almost seem quaint in comparison with the high-tech crypto scams hatched in the Trump White House. Viktor Orban's son-in-law, an entrepreneur named Istvan Tiborcz, became wealthy by forming Elios, a company that won multimillion-euro contracts to upgrade street lighting in cities and towns all over the country. Those contracts were financed by the EU, but as auditors later discovered, the project details were designed to favor Tiborcz's firm and eliminate any competition. In fact, the same officials who oversaw the lighting specifications also wrote the Elios bids.

EU investigators recommended that Hungary void those contracts, claw back the money, and commence legal action against the officials and business executives responsible for the scandal. The crooks in Budapest have been "investigating" that case for the past 11 years.

Meanwhile even more public millions flowed into the accounts of Orban's father, Gyozy, whose real estate development company swelled with government and EU contracts -- and is suspected of serving as a front for Orban himself. This arrangement smacks of the millions in U.S. government funding and related payments that have flowed over the years to the Trump Organization.


Various other Orban cronies -- notably including the chief of his cabinet, Antal Rogan, and his closest friend since childhood, Lorinc Meszaros -- have walked away with enormous fortunes. So brazen was Rogan that the U.S. Treasury sanctioned him in January 2025, during the final weeks of the Biden administration.

The Office of Foreign Assets Control found that Rogan had "orchestrated Hungary's system for distributing public contracts and resources to cronies loyal to himself and the Fidesz political party, (including) schemes designed to control several strategic sectors of the Hungarian economy and to divert proceeds from those sectors to himself and to reward loyalists from his political party."

The Trump administration lifted the U.S. sanctions on Rogan within three months of taking office, as part of its broader abandonment of anticorruption agencies and measures throughout government.


As for Meszaros, he is the richest man in Hungary, sitting atop a fortune estimated at over $3 billion. Having started out as a gas-pipe fitter in 2006, with assets worth less than $42,000, his wealth grew exponentially through state energy and construction deals. When asked how this could have happened, Meszaros modestly attributed his wealth to "God, luck and Viktor Orban."

Americans have long seemed indifferent to the orgy of corruption that has characterized President Donald Trump's career and especially his return to power. Citizens whose news consumption is limited to Fox News, Newsmax and the MAGA media have heard little or nothing about the ways that Trump, his wife and offspring, and their circle of supporters have gorged themselves in one shady deal after another, often at risk to our national security.

Yet somehow, despite a state-controlled Hungarian media universe, Magyar's movement brought the truth about Orban's corruption to the people, who responded with appropriate fury. In this country, Democrats of every persuasion must convey to every American voter that same message about the decadent MAGA movement and its greedy overlord.

Anti-corruption Hungary pulls support for 'scandal plagued' CPAC


NEW YORK, NY - SEPTEMBER 26, 2018 President Donald Trump gestures to emphasize an issue at a press conference held at the Lotte Palace Hotel in the Villard Room. (Shutterstock)
April 14, 2026
ALTERNET

President Donald Trump and CPAC want people to believe they support “America First,” but a recent report reveals that at least the latter received literal funding from the Hungarian government.

But those days are apparently over now that Hungary’s newly elected prime minister, Péter Magyar, has taken the reins. Magyar campaigned on an anti-corruption platform, and has pulled funding from the organization with ties to his corrupt opponent former prime minister Viktor Orbán.

“Scandal-plagued CPAC chairman Matt Schlapp posted in response to Magyar’s comments but didn’t address the payment claims, saying only that he was ‘gratified’ that Magyar ‘has invited us back to have CPAC,’’ reported MS NOW's Ja'han Jones on Tuesday. Upon winning and beginning the transition process, Magyar announced that Hungary had donated to CPAC under Orbán but would no longer.

“It’s easy to see how Orbán’s loss could prove injurious to the MAGA movement in a variety of ways,” Jones reported. “With the downfall of Trump’s favorite authoritarian, the U.S. conservative movement appears to be losing its free rein (and apparently some financing) to use Hungary as an ideological testing ground.”

Indeed, the revelation about Hungary and CPAC only underscores deeper ties between America’s far right and its European counterparts. From Nigel Farage in the United Kingdom and Marine Le Pen in France to Germany’s neo-Nazi AfD party and Italy’s Prime Minister Giorgia Meloni, Trump has done his past to use his political clout to advance the fortunes of overseas counterparts who are perceived as compatible with his own values and self-interests.

Magyar told CNN that “I believe the state should never have financed them in the first place. It was a crime. Mixing party financing with government spending from the state budget is, in my view, a criminal offense,” he said. "CPAC can come to Budapest. They’re very welcome. But not from Hungarian taxpayers’ money. From Fidesz’s money, or Orbán’s buddies’ money — before we take it back."

This is not the first time CPAC has recently had egg on its face. Last month Trump decided not to attend the organization’s annual event for the first time in a decade, allowing the usually pro-Trump event to air grievances against a president from their own party. According to The Conversation, the event demonstrated the overall fizzling of enthusiasm for the MAGA movement.

“There is a pall over the Make America Great Again, or MAGA, movement,” The Conversation wrote. “Donald Trump overpromised. His public support has fallen. Some “America First” die-hards now openly criticize him.”

They added, “Amid war, economic challenges, democratic backsliding, the Epstein files and Americans shot dead in the street by government agents, Trump’s support is softening and his vow to bring a ‘golden age of America’ is looking more like a political winter for Trump and his MAGA movement.”


Op-Ed

Orbán’s Defeat in Hungary Signals Far Right’s Weakness, Not the Left’s Strength

Magyar’s win is a significant loss for the far right, but he has not provided a vision for a progressive future.

April 14, 2026

Peter Magyar, who unseated Prime Minister Viktor Orbán, speaks to supporters after polling stations closed during Hungarian parliamentary elections on April 12, 2026, in Budapest, Hungary.Janos Kummer / Getty Images

According to most mainstream media accounts, a “political earthquake” has taken place in Hungary. The European far right’s poster boy and MAGA darling Prime Minister Viktor Orbán was defeated in a landslide on Sunday by political upstart Péter Magyar. The outcome of this election is indeed politically significant, as the ousting of Orbán by Hungarian voters will curtail Donald Trump’s foreign policy efforts to undermine the European Union (EU) by using Hungary as a Trojan horse in Brussels.

The Trump administration has made it abundantly clear that it wants to see a “nationalistic” Europe ruled by far right leaders. Its real interests, however, lie in weakening the EU as part of Washington’s new national security strategy in which the U.S. reasserts itself as a global hegemon. In forging a new world order, the Trump administration wants allies who are obedient subordinates. Trump’s support for Orbán was not based solely on ideological grounds but was also driven by a specific strategy for Europe, one in which the continent was to be subordinated to the interests of U.S. imperialism.

That said, the key question is this: Could the end of Orbán’s 16-year reign also mark the beginning of the end of the far right’s modern political surge? Indeed, the far right has faced other major setbacks across Europe in recent days and Donald Trump’s approval rating in the U.S. has taken a significant hit in recent surveys. The problem with concluding that the defeat of Orbán somehow represents the start of a new political era marked by the decline of right-wing authoritarianism, however, is that while the far right may currently be experiencing setbacks, the left is still struggling to articulate an alternative vision attractive enough to capture the public’s interest.

Moreover, the winner of Hungary’s so-called historic election is a former Orbán loyalist who ran on a pledge to rebuild Hungary’s relationships with the EU and NATO. Magyar also campaigned on an anti-corruption and anti-state-capture platform, which is rather typical of every mainstream politician in central and eastern Europe, but it is highly unlikely that he will shift away from Orbán’s reactionary policies on immigration. In fact, as researchers Eric Maurice and Levente Kocsis have shown, Magyar’s Tisza party’s voting behavior in the European Parliament reveals a strong convergence with Orbán’s own Fidesz party on “politically sensitive issues” such as Ukraine and immigration and “opposing language on rights and equality.” And while Magyar has spoken of wanting to move Hungary closer to the EU, he has avoided taking a clear stance on LGBTQ+ rights. This is hardly a political vision for a progressive future.

Since the early 2010s, far right parties and movements have gained significant political traction throughout Europe. Their success has been driven by a variety of social, economic, political, and cultural factors, just as in the case of the MAGA movement in the United States. Using radical and forthright political rhetoric to take advantage of ordinary people’s concerns and fears over the consequences of neoliberal globalization, as well as the impotence of liberal and socialist parties in articulating a meaningful socioeconomic alternative, far-right leaders have been able to connect with the politically discontent among working- and middle-class voters as well as younger generations. In this context, quasi-fascist demagoguery, once considered a political taboo in postwar Western polities, has emerged as an ideological weapon designed to alter political norms and “transform the morally extraordinary into the ordinary,” as Jason Stanley put it in his book How Fascism Works: The Politics of Us and Them.

A loss for one European far-right party is not necessarily a win for the European and global left.

Viktor Orbán’s first term as prime minister of Hungary was from 1998 to 2002, but it was during his second term, starting in 2010, that he emerged as a strongman leader. Since then, he and his party, Fidesz, promoted the most successful variant of right-wing authoritarianism in the West by dismantling the country’s legal system and suppressing opposition. His government did so by winning four straight elections. This is no small feat and speaks volumes of the power of demagoguery in capitalist societies. Orbán’s political rhetoric relied on the spread of fear and misinformation, proving yet again that democracy erodes from the top. He kept hammering away at the EU’s approach to immigration, which he claimed threatened Hungary’s national sovereignty and cultural identity. But he also differentiated between migrants from other Eastern European countries and those from the Middle East and Africa, as well as between Muslim and non-Muslim immigrants. He described Muslim migration as an “invasion.” This anti-migration position, playing on the racist fears of the population, undoubtedly helped Orbán win successive elections.

But it was Orbánomics, a form of economic nationalism, that motivated Hungarian voters to keep reelecting Orbán and his Fidesz party. Using unorthodox economic policies, Orbán succeeded in reducing unemployment and stimulating growth under favorable economic conditions. He also placed families with children at the center of his economic policy by offering various tax benefits and a long line of subsidies. At the same time, the economy shifted under his reign to a form of crony capitalism that had detrimental effects on economic performance and increased corruption. From 2020 to 2025, the Hungarian economy experienced significant decline and entered a period of “stable stagnation.” Orbánomics had reached the end of the line and Hungarian voters were finally ready to ditch Orbán and his Fidesz for a new government.

The election of Péter Magyar does not appear to represent an ideological shift among Hungarian voters. Magyar is not a liberal, let alone a progressive. Aside from his stance toward the EU, he did not directly challenge Orbán’s policy agenda during his campaign but simply confined himself to talking about corruption and governance. It isn’t even clear that his position on the Ukraine war will be any different from Orbán’s, or that he will stand up to Trump.

That said, the political elite of the EU are surely elated over Magyar’s election. They will most likely show their satisfaction with the electoral outcome in Hungary by releasing frozen funds.

All in all, it is too early to draw conclusions about the consequences of Hungary’s election for the EU and the U.S., as well as for the political fortunes of the global far right. But it is essential to add that a loss for one European far-right party is not necessarily a win for the European and global left.


This article is licensed under Creative Commons (CC BY-NC-ND 4.0), and you are free to share and republish under the terms of the license.


C.J. Polychroniou


C.J. Polychroniou is a political scientist/political economist, author and journalist who has taught and worked in numerous universities and research centers in Europe and the United States. Currently, his main research interests are in U.S. politics and the political economy of the United States, European economic integration, globalization, climate change and environmental economics, and the deconstruction of neoliberalism’s politico-economic project. He is a columnist for Global Policy Journal and a regular contributor to Truthout. He has published scores of books, including Marxist Perspectives on Imperialism: A Theoretical Analysis; Perspectives and Issues in International Political Economy (ed.); and Socialism: Crisis and Renewal (ed.), and over 1,000 articles which have appeared in a variety of journals, magazines, newspapers and popular news websites. Many of his publications have been translated into a multitude of languages, including Arabic, Chinese, Croatian, Dutch, French, German, Greek, Italian, Japanese, Portuguese, Russian, Spanish and Turkish. His latest books are Climate Crisis and the Global Green New Deal: The Political Economy of Saving the Planet (with Noam Chomsky and Robert Pollin as primary authors, 2020); The Precipice: Neoliberalism, the Pandemic, and the Urgent Need for Radical Change (an anthology of interviews with Noam Chomsky, 2021); Economics and the Left: Interviews with Progressive Economists (2021); Illegitimate Authority: Facing the Challenges of Our Time (an anthology of interviews with Noam Chomsky, 2023); and A Livable Future Is Possible: Confronting the Threats to Our Survival (an anthology of interviews with Noam Chomsky, 2024)

Tuesday, April 14, 2026

 

Novo Nordisk joins forces with OpenAI to fast-track drug research

FILE - This photo shows Novo Nordisk headquarters in Bagsvaerd, Denmark, on Feb. 5, 2025. (Mads Claus Rasmussen/Ritzau Scanpix via AP, File)
Copyright Mads Claus Rasmussen/ Ritzau Scanpix/ ASSOCIATED PRESS


By Marta Iraola Iribarren
Published on 

Danish pharma company Novo Nordisk has announced a partnership with OpenAI to apply artificial intelligence across its drug development process.

Novo Nordisk's partnership with OpenAI will “help the company bring new and better treatment options to patients faster,” the Danish pharmaceutical company announced on Tuesday

The collaboration will allow Novo Nordisk to apply advanced AI to analyse complex datasets, identify potential drugs, and cut the time between research and patient access.

“This partnership is one important step in positioning Novo Nordisk to lead in the next era of healthcare. There are millions of people living with obesity and diabetes who need treatment options, and we know there are therapies still waiting to be discovered that could change their lives,” said Mike Doustdar, president and CEO of Novo Nordisk, in a press release announcing the collaboration.

The Danish company’s flagship products target chronic diseases and it is best known for its diabetes and weight-loss treatments, including Ozempic and Wegovy.

“Integrating AI in our everyday work gives us the ability to analyse datasets at a scale that was previously impossible, identify patterns we could not see, and test hypotheses faster than ever," Doustdar added.

"This means discovering new therapies and bringing them to market faster than ever before."

The partnership will also apply OpenAI’s capabilities to improve efficiency in manufacturing, supply chain and distribution, as well as corporate operations.

The pilot programmes will launch across research and development (R&D), manufacturing, and commercial operations, aiming for full integration by the end of the year.

“AI is reshaping industries and in life sciences, it can help people live better, longer lives,” said Sam Altman, CEO of OpenAI.

“This collaboration with Novo Nordisk will help them accelerate scientific discovery, run smarter global operations, and redefine the future of patient care,” he added.

In 2024, the Novo Nordisk Foundation partnered with Nvidia and the Export and Investment Fund of Denmark (EIFO) to establish the Danish Centre for AI Innovation, which operates Gefion – Denmark's first AI-ready supercomputer.

The initiative aimed to accelerate research and innovation in multiple fields, including healthcare and life sciences.

Pharmaceutical companies are increasingly investing in AI for drug discovery and development.

Eli Lilly, in the race with Novo Nordisk to lead the weight-loss drug market, announced a partnership with Insilico Medicine in March 2026 to develop and commercialise medicines discovered using artificial intelligence.

Under the agreement, worth up to $2.75 ‌billion (€2.39bn), the American company will receive an exclusive worldwide licence for the development, manufacturing and commercialisation of novel oral therapeutics in preclinical development for certain indications, the companies said.


Can AI systems replace human judges and lawyers?

Participants from 23 universities from different countries were divided into 2 leagues: 10 English-speaking groups and 13 Russian-speaking groups.
Copyright Ayaulim Amangeldina

By Ayaulim Amangeldina
Published on 

Can AI make fundamentally ethical decisions? If it delivers an unlawful verdict, who will be punished? In the pursuit of efficiency and speed, can we trust people's fates to artificial intelligence?

Imagine a courtroom where artificial intelligence (AI) replaces jurors, and a perfectly designed AI agent replaces the lawyer.

This is exactly the type of scenario that was pondered at the International MaxUp Legathon, which took place in Kazakhstan's capital, Astana.

Here, at the Maqsut Narikbayev University, students from 13 countries explored the impact of new technologies such as AI on legal systems, legal principles, ethics, and human rights, and shared experiences from their own countries.

Can AI replace judges?

Judicial decisions require factual analysis, moral reasoning, and human empathy to reach a fair resolution.

Firstly, artificial intelligence has no emotions. It cannot offer mitigating circumstances, show empathy for the situation, or feel compassion. AI systems are built on repetition. They learn from data, identify patterns, and make decisions based on experience.

If the outcome of previous experience was incorrect, the AI ​​will resolve similar cases incorrectly in the same way.

Meanwhile, modern AI bots produce a specific result based on systematic repetition of data. They often fail to explain the logical chain by which they arrived at a particular choice. In courts, however, this justification is crucial.

Sergey Pen, Deputy Chairman of the Board for Science, Innovation, and Artificial Intelligence at Maqsut Narikbayev University (MNU) in Astana, believes that, for these reasons, AI currently has no chance of replacing judges.

Grand final of International MaxUp Legathon 2026 Press service of Maqsut Narikbayev University

According to him, the language model provides answers based only on its knowledge base and statistical contextual matches, leaving out the reasoning provided by a human judge.

"There's a huge problem, as language models cannot reproduce the legal chain of reasoning, or so-called legal reasoning,” said Pen

Nowadays, he said, AI should be viewed only as a tool alongside human decision-making.

In Kazakhstan, such tools review judicial practice and analyse legislation. It can process large volumes of information more quickly. There is also a judicial system which is already using AI for official purposes as an internal tool to help judges follow consistent judicial practices and see what decisions are being made on similar types of disputes across Kazakhstan.

But, this does not replace or supplant the legitimacy of the decision itself, which rests solely with humans.

"Only a judge, as a human being, can legitimise and render a judicial decision," explained Pen.

How does AI work in legal matters in other countries?

In China, AI has already entered the courtroom, with a student from the China University of Political Science and Law noting that AI is used in basic and simple tasks.

"In my country,it is now used to fill in some blanks, and maybe help the jury find some cases, [analyse whether] the case is similar to the previous ones, but the AI can't just decide the result," said Chinese law student Hongyi Chen.

Students from Georgia conducted immersive research to understand how AI could function within the legal system. Analysing international practice, they highlight the gap between technological feasibility and legal legitimacy.

The main risk is the lack of a soul in the algorithm and the impossibility of ethical choice.

"For the time being, the human judge, as an arbitrator, still has to weigh the merits in the case and only then does the legal solution become binding. But if we have already reached this level of AI application, then I think the possibility exists for AI to pass judgement in the future," said Tbilisi University student Keti Khaliashvili.

Participants from 23 universities from different countries were divided into 2 leagues: 10 English-speaking groups and 13 Russian-speaking groups. Press service of Maqsut Narikbayev University

Students from Canada's McGill University noted that the integration of AI into legal matters has to be explored and regulated.

“Personally, at the moment, I feel that AI is not developed yet to the point where it could completely replace human judgment," student Elisa Xue noted.

The responsibility dilemma

The most fundamental reason why AI can't replace humans is responsibility. A court decision is an act of authority, for which judges are accountable. If a judge makes a mistake, an appeal can be filed, disciplinary action can be taken, or the matter can be resolved by law.

But in the case of artificial intelligence, who is to blame? The code developer or the cloud service provider?

MNU students believe it's necessary to determine who will bear responsibility.

"If AI-generated content causes harm, is it responsible, and is "AI" labelling necessary? There are no categories in law that differentiate between harmless content, harmful content, or potentially harmful content. Law must be adaptable and apply to different levels of legal relations," argues MNU student, Islam Shagatayev.

The winners of the legathon agree with him, and they propose the introduction of absolute responsibility for manufacturers and system developers.

Winners of Legathon - students of Al-Farabi Kazakh National University in Almaty. Press service of Maqsut Narikbayev University

"We think that an individual or user does not always have any protection. That's why the developer should bear most of the responsibility," said Alissa Doktorovich, a student of Al-Farabi Kazakh National University.

The fact that discussions about AI are taking place right now in Kazakhstan is symbolic, as 2026 here marks the Year of Digitalisation and Artificial Intelligence.

The country's Law on "Artificial Intelligence", passed in November 2025, introduced and enshrined the principle of anthropocentricity, meaning AI is merely a tool that imitates human cognitive functions, and does not replace human responsibility.

The Legathon will allow us to rethink and reassess the relationship between AI and the law. In an era when law is becoming increasingly algorithmic, we need to remember the human element.


 

How will AI impact tourism and travel? Your next trip could be entirely planned by ChatGPT

Rome2Rio and its parent company Omio — have launched apps inside ChatGPT, allowing users to search, compare, and plan journeys.
Copyright Canva

By Pascale Davies
Published on 

Travel companies Rome2Rio and Omio are integrating with OpenAI, giving over 900 million weekly ChatGPT users instant access to routes, prices and transport options worldwide.

From rushing to catch a flight to panicking mid-air about how to reach a foreign hotel, travel anxiety may soon be a thing of the past as artificial intelligence promises to make the whole experience seamless, if perhaps a little too predictable

Two global travel platforms are launching apps with OpenAI to offer the platform's 900 million weekly users access to routes, prices and transport options worldwide.

Rome2Rio and its German parent company, Omio, have announced they are launching apps options within ChatGPT which will allow users to search, compare and plan journeys across trains, buses, flights, ferries and other modes of transportation.

Finding the best route between two cities often means juggling multiple booking sites to piece together connections — but new AI-powered apps are changing that.

Users can simply ask "What's the fastest and cheapest route from Rome to Florence this Saturday?" and get everything in a single conversation.

One in three travellers is already using AI to plan trips, often turning to the technology before they even decide on a destination, according to Rome2Rio's research.

Despite AI being far from perfect yet and being able to hallucinate and make things up, the travel companies say they use live data and not AI-generated estimates.

"There's a real train, there's a real bus, a ferry — and it's all connected via API, deep technical integrations," said Naren Shaam, founder and CEO of Omio told Euronews Next.

"Anything built off of that is real content."

The technology is designed to reduce AI hallucination by pulling from a verified inventory rather than generating approximate travel information, he added.

AI may also help the travel experience as it can tell you about disruptions and provide alternate routes, Shaam said.

"If there is a disruption on a line we should, in theory, send you a message saying, 'Hey, there's likely a disruption. Here are a couple of alternate options to consider,'" he said, adding that while last-minute changes may cost more, the goal is to make travel "a lot more transparent and help customers make sound decisions".

Despite the convenience AI brings to travel, there is a fear that if everyone uses it to plan their routes and their holidays, already over-touristed areas may become even more populated.

And will an algorithm take away the wanderlust of travel, stumbling across an unexpected route, discovering a town not on any itinerary and making a split-second decision at a station?

AI systems are trained on popularity data, they reinforce existing patterns, meaning they may nudge users to the same routes and travel adventures that already dominate internet search results.

Shaam acknowledges the risk, but argues the effect can also go the other way.

"AI can empower people to discover more routes," he said. "You have to trigger more questions for it to go deeper into context to give more unique itineraries."

The idea is that conversational AI, unlike a search bar, invites follow-up questions and may lead a user, who was asking about where to spend a night in Madrid, to ask about other parts of Spain.

Shaam also argues that AI-driven discovery could help spread tourism beyond overcrowded major cities, nudging travellers toward rail and bus connections to secondary destinations.

"If you go to Spain and you're not only going to Madrid and Barcelona, but Seville, Granada, Bilbao — those are two, two-and-a-half hour train journeys," he said.

"If AI can make that trip happen, it's good for local ecosystems too."

For now, Omio frames AI as a tool that handles logistics, leaving the spirit of adventure intact.

New research finds workers are leveraging AI for career mobility as employers struggle to keep pace



New University of Phoenix Career Institute® Career Optimism Index® study points to an emerging shift in workforce power dynamics




University of Phoenix

AI Is Quietly Putting Power Back in Workers’ Hands 

image: 

An infographic depicting key findings of the 2026 Career Optimism Index® study: While today’s workforce appears to be staying put, a quiet shift is underway. AI is helping workers build confidence, develop skills and prepare for future career moves – potentially away from their current employer. 

view more 

Credit: University of Phoenix






University of Phoenix Career Institute® today released its sixth annual Career Optimism Index® recurring national workforce research study of 5,000 U.S. working adults and 1,000 employers fielded January 21–February 6, 2026. The study found that while workers appear to be "job hugging” in a stabilizing labor market where mobility remains limited, many are quietly using AI to build their skills, boost confidence, and position themselves for greater career mobility – potentially preparing for their next move, which could be away from their current employer.

On the surface, the landscape favors employers: companies are deploying AI to increase productivity, reshape teams, and find efficiencies, according to the World Economic Forum‘s latest AI at Work report. But the 2026 Index points to a new dynamic underway: half of workers (50%) say AI makes them more confident about pivoting to a new role – signaling an impending shift from “job hugging” to “job hopping” that puts power back in workers’ hands. The last time workplace power was firmly in employees’ hands was in 2022, when employers saw a mass exodus of talent seeking greater mobility and opportunity, as highlighted in the 2022 Career Optimism Index® study.

This year’s Index shows workers are increasingly turning to AI independently to strengthen their readiness in a business environment characterized by historically low turnover rates, as illustrated in the U.S. Bureau of Labor Statistics’ January JOLTS report. More than half of workers (53%) say AI advancements boost confidence in building their skills, while 75% say AI increases their confidence at work, and 81% say it helps them identify new ways to apply their skills for future growth.

This AI-driven confidence is translating into optimism: 63% of workers say they feel positive about job opportunities available to them, rising to 75% among workers who have become comfortable and knowledgeable about AI. As job growth shows signs of strengthening, according to the U.S. Bureau of Labor Statistics’ March Employment Situation report, this may mark the moment many workers have been quietly preparing for – when rising confidence and AI-driven skill building begin to translate into increased career movement. At the same time, nearly half of employers (48%) worry they cannot retain AI-fluent talent, highlighting AI capability as both a competitive advantage and a looming retention risk.

Key Findings from the 2026 Career Optimism Index®

  • AI is increasing workers’ confidence in career mobility: 50% of workers say AI makes them more confident about pivoting into a new role, and workers who are knowledgeable about AI report even greater optimism about available job opportunities than workers overall (75% vs. 63%).
  • Workers are learning AI independently: Half of workers (50%) say they are learning to use AI independently, pointing to strong employee demand for AI skill-building even without formal employer support.
  • Employees are looking for more AI guidance: Many workers say employer support has not kept pace with their needs, with 47% saying their employer should be doing more to incorporate AI into their work and 60% wanting more guidance in learning AI tools.
  • Retention concerns are rising: Nearly half of employers (48%) worry they may be unable to retain AI-fluent talent as demand for those skills continues to grow, and 62% say employees are developing AI skills faster than the organization can adapt.
  • Clear AI strategy improves job satisfaction: Workers whose employer has a clear plan for AI-enabled growth are significantly more likely to be satisfied in their current job than those whose employer does not (87% vs. 72%).

Why This Matters Now

As organizations accelerate AI adoption, the 2026 Index identifies that workforce implications extend beyond productivity and efficiency. For workers, AI is becoming a tool for career growth, confidence, and mobility. For employers, that creates a new challenge: the same capabilities that help employees become more effective in their current roles may also make them feel more prepared to plan their exit.

“AI is changing the workforce conversation in real time,” said John Woods, Provost and Chief Academic Officer at University of Phoenix. “While many organizations are focused on how AI can improve efficiency, our 2026 Career Optimism Index® study shows workers are focused on how to use AI to help them grow and advance their careers. For employers, this is an important moment to lead with AI clarity, because organizations that make AI part of a broader growth strategy for their people may be better positioned to support engagement, satisfaction, and retention – particularly as hiring shows signs of strengthening and workers gain more confidence to explore new opportunities.”

The findings suggest employers have an opportunity to move from AI experimentation to workforce strategy by defining clear AI career pathways and standards, establishing skills assessment systems that support talent management and internal mobility, expanding workforce training and structured enablement, and building AI capability among managers to foster a stronger culture of AI support.

View and download the complete study at https://www.phoenix.edu/career-institute.html.

ABOUT THE CAREER OPTIMISM INDEX®

The Career Optimism Index® study is one of the most comprehensive studies of Americans' personal career perceptions to date. The University of Phoenix Career Institute® conducts this research annually to provide insights on current workforce trends and to help identify solutions to support and advance American careers.

The sixth annual study, fielded between January 21, 2026-February 6, 2026, surveyed 5,000 U.S. adults who either currently work or wish to be working on how they feel about their careers at this moment in time, including their concerns, their challenges, and the degree to which they are optimistic about their careers. The study was conducted among a nationally representative sample of U.S. adults (ages 18 and up). The study also explores insights from 1,000 U.S. employers who are influential or play a critical role in hiring and workplace decisions within a range of departments, company sizes, and industries.

ABOUT UNIVERSITY OF PHOENIX CAREER INSTITUTE®

Housed within the university's College of Doctoral Studies, the Career Institute conducts impactful research and collaborates with leading organizations to explore broad and persistent barriers to career growth. Through the Career Optimism Index® annual studies and targeted reports, the Institute shares actionable insights to inform solutions. For more information, visit www.phoenix.edu/career-institute.

ABOUT UNIVERSITY OF PHOENIX

University of Phoenix is Built for Real Life. 50 Years Strong. The University innovates to help working adults enhance their careers and develop skills in a rapidly changing world through flexible online learning, relevant courses, academic AI pillars, and skills-mapped curriculum for associate, bachelor’s and master’s degree programs. Active students and alumni have access to Career Services for Life® resources including career guidance and tools. For more information, visit phoenix.edu.

Managed misalignment of AI and the impossibility of full AI-human agreement


PNAS Nexus

Hector Zenil 

image: 

Dr. Zenil showing on the screen a simulation of AI agents interacting and trying to infleunce one another, along with the various metrics associated with each agent in the arena.

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Credit: OIA





Perfect AI alignment with human values and interests is mathematically impossible, according to a study, but behavioral diversity among AI agents offers the promise of some control. Hector Zenil and colleagues used Gödel’s incompleteness theorem and Turing’s undecidability result for the Halting Problem to show that any LLM complex enough to exhibit general intelligence or superintelligence will also be computationally irreducible and produce unpredictable behavior, making forced alignment impossible. As an alternative, the authors propose a strategy of “managed misalignment,” in which competing AI agents with different cognitive styles and partially overlapping goals operate in distinct roles to check one another.

As each agent attempts to fulfill its own goals with its own modes of reasoning and ethical frameworks—what the authors dub “artificial agentic neurodivergence”—the agents will dynamically aid or thwart one another, preempting ultimate dominance by any single system. The authors simulated a “cognitive ecosystem” by prompting AI interacting agents to represent fully aligned behaviors such as optimizing human utility, partially aligned behaviors such as prioritizing the environment, or unaligned behaviors, pursuing arbitrary objectives.

The authors trialed this approach in ethical debates between a range of LLMs in which humans or prompted LLMs tried to disrupt emerging consensus. In these debates, open models showed a wider spectrum of perspectives than proprietary models, creating what the authors characterize as a more resilient AI ecosystem, one that is less likely to converge on a single opinion—which could be harmful in cases where that opinion is not aligned with human interests.

Journal

Article Title

Article Publication Date

Research uses AI to examine social exchanges and interactions



Carnegie Mellon University





Psychologists have long known that social situations profoundly influence human behavior, yet have lacked a unified, empirically grounded way to describe them. A new study addresses this problem by using generative AI to systematically classify thousands of everyday social interactions. In a new study, researchers analyzed thousands of textual descriptions of two-person social interactions, then used generative artificial intelligence (AI) to code the exchanges by features, resulting in a taxonomy of categories of social interactions. Then they related these groups to variables like conflict, power, and duty to provide a comprehensive, data-driven framework for quantifying the structure of interactions.

The study, “The Structure of Social Situations: Insights From the Large-Scale Automated Coding of Text,” by researchers at Carnegie Mellon University and the University of Pennsylvania (Penn), is published in Psychological Science. “Researchers have proposed many frameworks for representing social situations, but due to the diversity and complexity of real-life situations, many of these are partial, non-integrated, and not mapped onto situations encountered in everyday life,” says Taya R. Cohen, Professor of Organizational Behavior and Business Ethics at Carnegie Mellon’s Tepper School of Business, who coauthored the study. “Our work advances the study of social cognition and behavior by using AI to create a more comprehensive framework for the structure of social situations.”

Because social situations exert a profound influence on human behavior and mental life, understanding the structure and dimensions of such situations has been a major topic of psychology research for decades. But gaps remain, leaving the field without a rigorous understanding of how the characteristics that matter most relate to commonly encountered social interactions.

In this study, researchers analyzed more than 20,000 detailed textual descriptions of two-person social interactions. They used a large data set of short stories describing social interactions in daily life (e.g., family situations, workplace interactions, animal interactions, pet mishaps written by online participants, as well as short situational descriptions from other sources (e.g., blogs, novels, fiction published on social media, reading-comprehension exams).

The study used a combination of large language model (LLM) techniques to extract high-level situational characteristics from the data sets and core situational cues like relationships, activities, locations, and goals (who, what, where, and why) that make up the observable dimensions of each situation.
“A core challenge in psychology is understanding the structure of social situations—the patterns and psychological features that shape how people think, feel, and behave in social contexts,” explains Sudeep Bhatia, Associate Professor of Psychology at Penn, who led the study. “Our work provides a rigorous and integrative framework for mapping out everyday social situations and relating them to key theoretical dimensions in psychology.” 

The study found systematic associations between situational characteristics proposed by existing taxonomies as well as between situational characteristics and observable cues, replicating and extending findings from earlier studies, but at a much larger scale. In particular, the study drew on a broader and more representative group of typical exchanges experienced by adults.

“Our study offers researchers a rich descriptive catalogue of dozens of classes of situations with which they can test and refine their theories,” Bhatia added, “It can be used to model the distributional structure of situations, as we did, as well as to formally study the effect of situations on interpersonal behavior, perceptions of situations, pursuit of goals, and the interplay between situations and personality.”

Among the study’s limitations, the authors note that their analysis relied on short stories, which resemble the brief autobiographical narratives used in prior research but likely exclude more complex and nuanced situations. In addition, their findings depended on analyses conducted with current-generation LLMs, which have biases and constraints. Finally, the work examined only English-language narratives, which limits the cultural scope of the conclusions.

Widespread AI use narrows society’s creative space



Commercial LLMs challenged with tests of originality and creativity generate results that are more similar to one another than people’s responses.




Duke University





There are already hundreds of thousands of large language models (LLMs) in existence with a few dozen commercial systems dominating the market. Between options such as GPT-4, Claude and Gemini, many people have their favorite, especially when it comes to creative tasks such as writing.

Those preferences, however, are likely entirely in the eye of the beholder. According to new research from Duke University, the creative outputs of commercial LLMs are more similar to each other than users might hope. When challenged with three standard tasks assessing creativity, answers from commercial LLMs are much more alike than their human counterparts.

The results appeared online March 24 in the journal Proceedings of the National Academy of Sciences Nexus.

“People might wonder if different LLMs will take them in different directions with the same prompts for creative projects,” said Emily Wenger, the Cue Family Assistant Professor of Electrical and Computer Engineering at Duke. “This paper basically says no. LLMs are less creative as a population than humans.”

According to a 2024 survey by Adobe, over half of Americans have already used LLMs as creative partners for brainstorming, writing, creating images or writing code. Because an overwhelming majority of users trust them for help with being more creative, researchers have been trying to find out if that trust is misplaced.

One seminal paper in this emerging field conducted by Anil Doshi and Oliver Hauser found that writers who used GPT-4 produced more creative stories than humans working alone. However, the same study showed that those LLM-aided stories were more similar to each other than were stories from human writers working solo.

This research, and other papers like it, only looked at people using one specific LLM. Wenger, who studies how data gets into AI models, was curious how these types of results would translate between different LLMs.

“Commercial LLMs have all been trained on the same dataset—the entirety of the internet—and they all have the same goal,” Wenger said. “It seemed likely to me that this would limit the amount of diversity we’d see in their creativity, so I decided to find out.”

To explore her hunch, Wenger turned to Yoed Kenett, a cognitive neuroscientist and associate professor of data and decision sciences at the Technion – Israel Institute of Technology. Together, they settled on three standard tasks used to assess creativity levels and put 22 LLMs to the test against over 100 people.

One test, called the Alternative Uses Test (AUT), challenges participants to name different ways that an object could be used from its intended use. For example, using a book as a doorstop, fly swatter or kindling for a fire. The second test, called the Divergent Association Task (DAT), asks participants to name 10 different words, each as different as possible from the others in every sense. Lastly, the Forward Flow (FF) test provides a starting prompt word and asks participants to write down the next word that follows in their mind from the previous word for up to 20 words. For example, fire, candle, wax, hair, comb, honey, bee, stripes, zebra, etc.

Together, these tests seek to measure the divergent and dissociative thinking abilities that facilitate creativity.

“Significant empirical research on the past few decades highlight how much human creativity depends on variability,” said Yoed Kenett. “The problem, as we and others are increasingly showing, is that while LLMs appear to generate extremely original outputs, they are overly homogenized and not variable in their responses. This could have detrimental long-term impact on human creative thinking and thus must be addressed.”

The results, which aimed to measure the variability and originality in responses between LLMs and people, were clear. While individual LLMs might outperform individual people in levels of creativity, as a whole, the algorithms’ responses were much more similar to each other than the people’s. Importantly, altering the LLM system prompt to encourage higher creativity only slightly increased their variability—and human responses still won out.

“This work has broad implications as people continue adopting and integrating LLMs into their daily life,” Wenger said. “Over reliance on these tools will smooth the world’s work toward the same underlying set of words or grammar, tending to make writing all look the same.”

“If you’re trying to come up with an original concept or product to stand out from the crowd,” Wenger continued, “this work highly suggests you should bring together a diverse group of people to brainstorm rather than relying on AI.”

CITATION: “Large language models are homogeneously creative.” Emily Wenger and Yoed N. Kenett. PNAS Nexus, 2026, 5, pgag042. DOI: 10.1093/pnasnexus/pgag042

AI with locality awareness



Marc Rußwurm is training AI to be geospatially aware in a project conducted by a new Emmy Noether Group at the University of Bonn.



University of Bonn

Junior Professor Dr Marc Rußwurm 

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Junior Professor Dr Marc Rußwurm heads a new Emmy Noether Group for AI methods at the University of Bonn.

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Credit: Gregor Hübl / University of Bonn





The University of Bonn is hosting a new Emmy Noether Group devoted to AI methods. Junior Professor Marc Rußwurm is developing AI methods for fusing different types of geodata to arrive at a uniform geospatial representation. The German Research Foundation (DFG) will be providing up to 1.4 million euros in funding for the research group over the next six years. The Emmy Noether Program is a framework designed to enable selected postdocs and assistant professors on fixed-term contracts to obtain the qualifications necessary to hold a university professorship.

Places can be described based on various different characteristics, such as whether a given place is forested or barren, its height above sea level, what animals are found there and whether there are buildings, roads or parks. Such information is generally stored in classic geodatabases of maps, satellite images, elevation models, etc. This practice tends to create problems however, because “the data exist in differing formats, resolutions and grid sizes, so it takes major effort to utilize them in combination,” as Junior Professor Marc Rußwurm of the University of Bonn Institute for Food and Resource Economics explains. “Harmonizing such geodata to make it usable in modern AI methods is a lot of work”. This can mean combining animal photos from camera traps with vegetation, altitude, climate and human infrastructure data in order to predict whether certain species will find suitable habitats there.

AI is learning to better “understand” places

The new Emmy Noether Group will investigate how geodata can be represented within the parameters of artificial neural networks. Rußwurm and his team are developing AI methods to synthesize such different data types to derive a uniform geospatial representation. The goal is for AI to achieve a better “understanding” of places than it currently has. “People often rely on pictures and maps to get a sense of what a place is like without actually being there themselves—whether warm or cold, green or intensively developed, crowded or deserted. Our work is aimed at enabling AI to use this kind of data to know more about places in similar fashion.”

The new AI methods developed have diverse application potential, such as allowing more precise urban quality-of-life analysis by correlating location characteristics with resident satisfaction data or real estate prices. “By drawing on different kinds of geoinformation, AI could also project what coastlines and beaches are subject to elevated plastic waste levels,” Rußwurm observes. Global mapping of vegetation and settled areas could also be made more precise, as AI would be more aware of regional differences.

Transdisciplinary AI research

The breadth of possible applications indicates the transdisciplinary nature of this work, which is why the University of Bonn is an ideal research center for it. Rußwurm, who moved here from the Netherlands at the start of the year, will be collaborating with colleagues from different disciplines within the framework of the University of Bonn’s Transdisciplinary Research Areas (TRAs) Modelling and Sustainable Futures. The collaborative purpose is to study how AI methods can be employed to more effectively evaluate local biodiversity, gauge microplastic soil content over large areas, represent global Earth gravity in AI models and reveal how biodiversity and other environmental changes correlate with political and societal decision-making processes. “What makes the University of Bonn so attractive to me is how fundamental research and applied research really go hand in hand here.”

Bio

Marc Rußwurm has been junior research group leader at the University of Bonn’s Machine Learning in Earth Observation (MEO) Lab since February 2026. His previous position was Assistant Professor of Machine Learning and Remote Sensing at Wageningen University, and he has experience in geodesy and geoinformation. Starting in September 2026  Rußwurm will be head of the Emmy Noether Group “Earth Embeddings: Learning Concept Maps in Neural Nets,” backed by roughly 800,000 euros in initial funding from the German Research Foundation (DFG) for a three-year period. Around 600,000 euros in follow-on funding may be granted for a three-year extension after passing an interim evaluation. The funding is provided as part of the DFG's involvement in the Global Minds Initiative Germany by the Federal Ministry of Research, Technology and Space.

Tired of swiping? Now an AI simulation helps us understand why


Screen logging tells us where smart phone users tap and swipe, but now researchers have developed a musculoskeletal model that helps understand the physical effort that goes into these motions.




Aalto University

Log2Motion 

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The researchers hope that human simulations would be adopted to help design interactions that are more ergonomic and pleasant for users.

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Credit: Antti Oulasvirta / Aalto University




Tired of swiping? Now an AI simulation helps us understand why

Screen logging tells us where smart phone users tap and swipe, but now researchers have developed a musculoskeletal model that helps understand the physical effort that goes into these motions.

Prolonged scrolling is bad for your well-being, but is it also physically tiring? Until now, we haven’t really been able to say. This is why researchers from Aalto and Leipzig Universities created a new AI model that makes it possible to simulate muscle activations and used energy to work out how physically effortful smartphone interactions are for users.

'It’s the first time anyone has developed a tool that can help designers and developers quickly assess how physically tiring a real mobile user interface could be,’ says Antti Oulasvirta, Professor at Aalto University and ELLIS Institute Finland. ‘So far, smartphone logs have only told us where a finger has touched the screen – not whether or not it’s felt comfortable.'

To bridge this gap, Oulasvirta and his colleagues at Leipzig University developed Log2Motion, an AI model that translates smartphone logs into simulated human motion. Movement of this musculoskeletal simulation is based on data from previous motion capture studies.

In the simulation, a human model consisting of digital bones and muscles moves its index finger to interact with a smartphone laid out on a desk. Through a software emulator, the model can use real mobile apps in real time. It can re-enact logs collected on users to illuminate what happened during interaction. The Log2Motion model then estimates the motion, speed, accuracy and effort of these biomechanical movements.

The model provides entirely new horizons for smartphone use research – as well as design.

'We found that some gestures are harder to perform – in this case, up-down and down-up swipes,' explains Oulasvirta. 'Small icons and locations toward the corners of the display also require additional effort.'

Using such simulation early in the process could help designers create user-friendly interfaces. It can also provide insight into accessibility needs for users with tremors, reduced strength or prosthetics.

'It is possible to scale the Log2Motion model to simulate other scenarios, such as the more classic: laying on the couch, holding the phone in one hand and scrolling with the thumb,' Oulasvirta says.

The researchers hope that human simulations would be adopted to help design interactions that are more ergonomic and pleasant for users. In the future, these simulations could be combined with other AI methods to optimise user interfaces to a user’s needs.

The paper, 'Log2Motion: Biomechanical Motion Synthesis from Touch Logs', will be presented on April 17 at CHI 2026, the leading conference on human–computer interaction. 


Log2Motion

Credit

Antti Oulasvirta / Aalto University

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Contact: Antti Oulasvirta, Professor, Aalto University, antti.oulasvirta@aalto.fi

About Aalto University

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 16,000 students and 5,200 employees, including 446 professors. Our campus is in Espoo, Greater Helsinki, Finland.  



Language-model-guided robotic boxes advance perovskite solar cell discovery



Higher Education Press
Conceptual scheme of materials intelligence. 

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Conceptual scheme of materials intelligence.

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Credit: Zijian Chen,Wenjin Yu,Chuang Wu et al.





Perovskite solar cells have emerged as one of the most promising next-generation photovoltaic technologies, but their development still depends heavily on time-consuming trial-and-error synthesis and labor-intensive device fabrication. Researchers have already explored more than one hundred thousand recipes to improve device performance, yet the formulas remain complex, additives are highly diverse, and crystallization is extremely sensitive to environmental conditions. As a result, fabrication remains difficult to control, while the related physical and chemical mechanisms are still not fully understood. Although high-throughput robotic systems can accelerate data collection, they often struggle to analyze rapidly growing numerical datasets effectively or to provide timely feedback for semantic recipe optimization and mechanistic reasoning at the device scale.

Researchers from the Hong Kong Polytechnic University and collaborating institutions report an agentic robotics system for perovskite solar cell research in Engineering in 2026. The work combines a language agent, a domain-specific recipe language model (RLM), and 11 interconnected robotic boxes within a unified framework for synthesis, fabrication, characterization, and feedback-driven optimization. Using this system, the team carried out 50,764 perovskite solar cell device experiments, achieved a champion power conversion efficiency of 27.0%, with a certified value of 26.5%, and generated more than 578 million tokens to strengthen recipe recommendation and mechanistic reasoning.

At the core of the study is the idea that robotic experimentation should do more than automate repeated operations. The researchers designed a seven-layer artificial intelligence (AI) architecture covering learning, generating, RecipeQA, fine-tuning, reasoning, evaluation, and optimization. Within this framework, both numerical and semantic recipes can be continuously learned from literature corpora and robot-generated corpora, enabling iterative refinement of the RLM. Formulas and parameters are encoded into machine-readable recipes, translated into robot-executable commands, and returned as structured feedback after fabrication and characterization. In this way, the system establishes a closed-loop workflow linking recommendation, execution, validation, and model improvement.

The hardware system upgrades an earlier robotic synthesis system into a full-device fabrication system for perovskite solar cells. A digital twin serves as a real-time software–hardware interface, translating model-generated recipes into executable robotic instructions while synchronizing experimental states and feedback. The 11 robotic boxes form an enclosed and interconnected environment for synthesis, fabrication, and characterization. Altogether, the system includes 101 functional modules, more than 1,500 components, and 4,300 controllable parameters, reconstructing traditionally fragmented glovebox-based manual operations into coupled robotic execution.

According to the researchers, the key advance is the integration of three advantages within one closed-loop AI–robotics framework: controllable fabrication of full perovskite solar cell devices by robotic boxes, robotic characterization that converts high-throughput experimental outputs into structured mechanism-related evidence, and domain-specific RLM which is trained and continuously improves recipe recommendation, mechanistic reasoning, and subsequent robotic execution.

The significance of the work extends beyond perovskite photovoltaics. By integrating a language agent, an RLM, robotic fabrication, robotic characterization, and feedback-driven optimization into one research framework, the study provides a practical route toward next-generation materials research tools. More broadly, this work highlights a paradigm shift from manual discovery, providing a scalable architectural foundation of materials intelligence. In the longer term, such AI and robotics systems could be deployed in extreme environments to support on-site materials intelligent manufacturing.

The article, titled “Agentic Robotic Boxes for Perovskite Solar Cell Fabrication with Recipe Language Model,” was authored by Zijian Chen, Wenjin Yu, Chuang Wu, Feibei Chen, Zixuan Wang, Chao Zhou, Yimeng You, Shaojie Li, Qiyuan Zhu, Ning Ma, Yao Sun, Donghui Li, Billy Fanady, Shengchou Jiang, Zhongliang Yan, Shumin Zhou, Liang Li, Chang-Yu Hsieh, Yang Bai, Lixin Xiao, Chi-yung Chung, Ching-chuen Chan, Zhanfeng Cui, Michael Grätzel, Haitao Zhao. It was published in the journal Engineering. Full text of the open access paper: https://doi.org/10.1016/j.eng.2026.04.002. For more information about Engineering, visit the website at https://www.sciencedirect.com/journal/engineering.