Saturday, March 21, 2026

 

Why This Energy Shock Will Hit Consumers Harder Than 2011

  • UBS Chief Economist Arend Kapteyn asserts that the current energy shock is unlike the 2011-2014 period due to the critical absence of a strong supply response from the US shale oil patch.

  • The oil sector is now less responsive to price increases, meaning the offset from booming domestic oil investment that helped the US economy a decade ago will be missing this time.

  • This lack of shale elasticity suggests the pain from higher energy prices is more likely to hit consumers directly through weaker spending power, potentially accelerating broader economic deterioration.

Arend Kapteyn, the global head of economics and strategy research and chief economist at UBS, told clients that one key reason the current Middle East conflict-driven energy shock "is not like 2011-2014" will be the absence of a comparable response from the shale patch, suggesting consumers are more likely to bear the brunt of the pain. 

Kapteyn noted that, on an inflation-adjusted basis, oil prices in 2011-2014 were actually higher than they are today, yet the U.S. economy absorbed that shock because the shale boom provided a lift to the industrial base. Soaring WTI crude prices at the time spurred oil/gas companies to increase drilling activity, production growth, and energy-sector investment. This helped create a tailwind for the US' manufacturing base and offset some of the drag from higher fuel costs.

However, this is where the bullish U.S. economic case starts to look a little shaky. As Kapteyn noted, "The oil sector is much less responsive to prices than a decade ago." 


The Trump administration has indicated that the oil price shock is temporary, suggesting shale drilling is unlikely to increase meaningfully or provide much of a tailwind for the manufacturing base.

That means this time, the pain from higher energy prices is more likely to hit consumers directly through weaker spending power, with less offset from booming domestic oil investment.

The shock at the gas pump begins:

We warned:

Kapteyn continued:

A common question is why current oil prices should be a concern for the U.S. economy when prices were substantially higher in 2011-2014 and growth held up well. Over that earlier period, Brent averaged around $110/bbl—close to $145/bbl in today's dollars, roughly 23% above today's spot prices—yet U.S. GDP growth still averaged just over 2%.

There are, of course, many differences relative to then: today's labor market is weaker, households are more liquidity constrained, and the inflationary impulse is sharper, reflecting a much faster run-up in prices (oil prices never rose more than about 55% year-on-year in 2011-2014, versus close to 100% if today's prices are sustained). But the key difference—and the focus here—is shale.

At the start of 2010, the U.S. mining sector (largely oil and gas) accounted for roughly 14% of industrial production. By 2012-2013, it was generating well over half of total U.S. IP growth, with brief periods in which mining effectively accounted for all of it. After oil prices collapsed in 2015-2016, U.S. mining output rebounded mechanically from a low base—but shale did not return to its pre-2014 investment or rig intensity. Oil production still responds to prices at the margin—via well completions, higher utilization, and productivity gains—but investment has become far less elastic. In other words, if current oil prices are perceived as temporary, the U.S. is unlikely to see anything resembling the 2011-2014 shale-driven supply response to offset the net income erosion that is likely to hit consumers.

Overnight developments, including Israeli and Iranian retaliatory strikes on upstream energy infrastructure across the Gulf area and Qatar's warning that Iranian attacks on its LNG complex - the world's largest - could leave capacity offline for months, if not years, only reinforce the view that global energy markets are set to tighten further. The risk now is a pump price shock, which could begin to weigh on sentiment in the weeks ahead if energy market turmoil persists. At the same time, signs of stress are emerging in credit markets, adding to concerns that the broader economic outlook could deteriorate. 

By Zerohedge

 

The Startup That Cracked the Code for Commercial Thermal Batteries

  • Thermal batteries are emerging as a frontrunner in the energy storage market, capable of capturing excess renewable energy and providing heat for industry to reduce reliance on fossil fuels.

  • Fourth Power is innovating on thermal battery materials by using molten metal as the heat conductor, stored inside carbon bricks, and operating at extremely high temperatures (1,900-2,400°C) to achieve high power density.

  • The pursuit of high temperatures allows Fourth Power to shrink the system and significantly reduce costs on the balance of system, offering a major improvement over existing thermal battery concepts.

Thermal batteries are the hottest new thing in energy storage tech. As energy storage heats up to be “clean energy’s next trillion-dollar business,” the private sector is throwing its full weight behind developing the technology that will unlock scalable long-term energy storage. As of 2022, the energy storage market was valued at nearly $198.8 billion, on track to reach $329.1 billion by 2032, and showing no sign of slowing from there. The race to corner that market is a contentious one, and thermal batteries are rapidly emerging as a frontrunner.

Thermal batteries hold onto excess energy in the form of heat, used for grid regulation as well as providing heat to power industry, which would otherwise be sourced by burning fossil fuels. The idea is that these thermal batteries would capture excess renewable energy when the sun is shining on solar panels and wind is roaring through turbines to create more clean energies than consumers can use concurrently, which the batteries could then dispatch as needed. 

In this way, thermal batteries could be an integral part of the clean energy transition when it comes to ensuring energy security in a rapidly changing power grid and improving energy efficiency in our residential and commercial buildings, as well as decarbonizing hard-to-abate sectors like steelmaking. In the industrial sector it could be pivotal to reducing dependence on fossil fuels as a heat source, which could have a major impact on emissions as industrial heat demand is expected to continue growing over the coming decade. 

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“Storing energy as heat isn’t a new idea—steelmakers have been capturing waste heat and using it to reduce fuel demand for nearly 200 years,” MIT Technology Review reported in 2024. “But a changing grid and advancing technology have ratcheted up interest in the field.”

And that interest is already starting to bear fruit. One of the biggest challenges – and opportunities – in the development of commercially viable thermal battery systems is finding the right materials. Storing superhot substances is obviously taxing to the materials involved, so finding the right ingredients to create an efficient, affordable, and long-lasting model is key.

Fourth Power, a thermal battery startup founded by MIT Professor Asegun Henry, thinks it may have cracked the code by turning standard engineering on its head. While many thermal batteries superheat gas or molten salt, which they store and transmit in metal pipes, Fourth Power is reversing the recipe by using molten metal as the heat conductor, which is then stored inside of carbon bricks. 

Henry has tested this approach before, in 2017, and it earned him a Guinness World Record for the hottest liquid pump. This also means that his model emitted a massive amount of light, which was used to break another record: achieving efficiency above 40 percent using a  thermophotovoltaic cell to turn light to electricity. 

“Explaining why our system is such a huge improvement over everything else centers around power density,” Henry was recently quoted in MIT News. “We realized if you push the temperature higher, you will transfer heat at a higher rate and shrink the system. Then everything gets cheaper. That’s why we pursue such high temperatures at Fourth Power. We operate our thermal battery between 1,900 and 2,400 degrees Celsius, which allows us to save a tremendous amount on the balance of system costs.”

While Fourth Power is a vanguard in the field of thermal batteries thanks to its innovation around materials, it could soon be facing a much more crowded and competitive playing field thanks to artificial intelligence. “Finding new materials, catalysts or processes that can produce stuff more efficiently is the sort of ‘’needle in a haystack’ problem that AI is ideally suited to,” the Financial Times reported in a 2025 article about how AI could – eventually – save more energy than it consumes.


By Haley Zaremba for Oilprice.com 

 

Why the Iran War May Have Just Killed the AI Boom

  • The $1.5 trillion in committed AI infrastructure spending by major tech companies is built on an assumption of a functional global supply chain, which the Iran conflict has fundamentally broken.

  • The war's effects, including the collapse of shipping insurance in the Strait of Hormuz, attacks on data centers, and a spike in oil prices, are structural problems that will increase component costs and slow the AI buildout.

  • Compounding issues—higher costs for fuel and fertilizer, coupled with elevated electricity bills from data center demand—will shorten the political window for the AI transition and fuel consumer backlash.

The stock market spent the first week of the Iran war doing something strange: mostly shrugging. Oil spiked. Insurance markets effectively collapsed. Amazon had two data centers blown up. And the Nasdaq dipped, steadied, and the conversation shifted within days to whether the Fed might still cut in June. 

The prevailing read was: disruption, yes. Catastrophe, no. This thing will be over soon. I think that read is wrong. 

And wrong in a specific, structural way, not because the war will necessarily escalate further, but because the damage being done right now is the kind that compounds quietly. 


It hits a system that had no room left to absorb it. And it is aimed, with surprising precision, at the single largest economic bet America has ever made.

The $1.5 Trillion Bet

Add it up. Meta has pledged over $600 billion in US AI infrastructure by 2028. Apple committed $500 billion over four years. Amazon is projecting $200 billion in data center spending in 2026 alone, up from $131 billion last year. Google sits at $175 to 185 billion. Microsoft is tracking toward $105 billion for the year. 

That is roughly $1.5 trillion in committed AI capital, most of it tied to data centers, chips, and the supply chains that feed them.

These numbers have a numbing quality. They are so large they start to feel theoretical. 

But they’re not theoretical. They’re the load-bearing wall of the current bull market. 

Goldman Sachs noted in December that consensus capex estimates have been too low for two years running, with actual spending growth exceeding 50% in both 2024 and 2025 against forecasts of 20%. 

The market has priced in the spending, the compounding returns that spending is supposed to generate, the AI productivity boom, the new revenue streams, the structural advantage that justifies Nvidia trading at the multiples it does.

The whole thing is a bet. A very large, very confident, very specific bet. And that bet has one core assumption embedded in it: that the global supply chain stays roughly functional.

Tiffany Wade, a senior portfolio manager at Columbia Threadneedle, was already nervous before the war started. "This feels like a return to Meta's old days of overspending," she told Bloomberg. "Investors are losing patience." That was November. Before the Strait of Hormuz closed.

Annual average market capitalisation of S&P 500 companies, November 2022 and November 2024

Annual average market capitalisation of S&P 500 companies, November 2022 and November 2024

Source: IEA, Energy and AI (2025)

The Supply Chain Nobody Draws

Here is something most people don't know: a single semiconductor chip crosses more than 70 international borders before it reaches an end customer. 

The journey takes up to 100 days and involves more than 1,000 discrete manufacturing steps. This is not a quirk. It is the architecture.

Silicon wafers start in Japan or Germany. Chip design happens in the US or the UK. The actual fabrication, for the most advanced chips that power AI workloads, is done almost entirely in Taiwan (92%) and South Korea (8%). Assembly and testing happen in Malaysia, Vietnam, the Philippines. The finished chip ships to a US data center. 

There are more than 50 points across this chain where a single country controls more than 65% of global market share. Each one of them just got more expensive and more uncertain.

Every step in that chain costs energy. Every border crossing costs money. Every logistics node, the freight forwarders, the marine insurers, the fuel for the container ships, is now running hotter than it was on February 27th.

The friction is structural and it compounds with time. It does not resolve when the headlines move on.

Oh, and the Gulf also produces a significant share of the world's helium, a critical input for semiconductor manufacturing. These things connect in ways that don't make the front page.

Halving the Dream

Here's the part that doesn't get enough attention.

Those $1.5 trillion in AI pledges weren’t just announcements; they are the reason the stock prices are where they are. 

When Meta says it's committing $600 billion in AI infrastructure, the market hears something more: $600 billion in projected returns, plus whatever multiplier you want to apply for future AI dominance. The capex is the proof of conviction.

Now imagine what happens when that budget doesn't go as far as it was supposed to. Component costs up. Shipping up. Energy up. Insurance on every supply chain touchpoint up. 

Related: No Missiles, No Drones: What Happens When Rare Earths Stop Flowing?

The dollar amount of the pledge stays the same. The buildout it actually buys does not. You're not getting less ambition, you're getting the same ambition running into a world that charges more for everything it needs.

The pledges don't disappear. The compounding future returns that were priced in do. And the correction, when it comes, is not proportional to the shortfall. It's proportional to the distance between what was promised and what gets built. 

Markets priced in the full vision. They didn't price in the friction.

The Pin

On February 28th, the US and Israel launched Operation Epic Fury. Within days, the Strait of Hormuz, through which roughly 20 million barrels of oil flow every day, about one-fifth of global oil consumption, was effectively closed. 

The IEA called it the biggest oil supply disruption in history.

Brent crude went from $70 a barrel to touching $120. It's sitting around $110 as I write this, which sounds like a retreat until you remember where it started three weeks ago.

But the oil price is almost the least interesting part of what happened to shipping. What happened to shipping was a collapse of the insurance architecture that makes global trade work.

Before the war, insuring a tanker through the Strait of Hormuz cost between 0.02% and 0.05% of the vessel's value. For a $120 million tanker, call it $40,000 a trip. 

Bloomberg reported last week that coverage has leaped to roughly 5% of hull value. The same tanker now costs $5 million to insure for a single voyage. That cost does not stay with the shipowner. It travels through the price of everything on that ship.

All 12 of the Protection and Indemnity Clubs, mutual insurers that cover 90% of the world's ocean-going tonnage, gave 72 hours' notice of war cover cancellation in the Gulf. Hapag-Lloyd added a War Risk Surcharge of $3,500 per container. Daily charter rates for supertankers quadrupled to nearly $800,000 a day. Iran has made 21 confirmed attacks on merchant ships as of March 12th. That is not a threat. That is a policy.

And then there's the data centers.

Iran's IRGC-linked Tasnim News Agency published a target list: Amazon, Microsoft, Palantir, Oracle, captioned "Enemy's technological infrastructure: Iran's new goals in the region." 

Within days, AWS confirmed drone strikes had damaged two UAE facilities and one in Bahrain, causing structural damage, power disruptions, and water damage from fire suppression. 

AWS told customers to consider migrating workloads out of the Middle East entirely.

On pro-Iranian Telegram channels, researchers at SITE Intelligence Group documented hackers posting: "The datacenters need to be taken out. They host the brains of USA's military communication and targeting systems."

Both the Red Sea and the Strait of Hormuz are now active conflict zones simultaneously, severing the undersea cables connecting Gulf data centers to Africa, South Asia, and Southeast Asia. 

First time both chokepoints have been closed at once. The $1.5 trillion bet on AI infrastructure assumed those cables would stay intact.

Why It'll Last Longer Than You Think

Markets are pricing this as a short-term disruption, a bad few weeks, a ceasefire, a slow normalization of shipping routes. 

That's wrong, and wrong for a specific reason: Iran's incentive structure.

Iran cannot win this war militarily. That was decided on day one. But Iran doesn't need to win. Iran needs to make the war expensive enough for everyone else that the pressure to de-escalate lands somewhere other than Tehran. 

Every week the Strait is effectively uninsurable costs the global economy more than the week before. Every data center attack is essentially free, drones are cheap, reputational damage to cloud infrastructure is not. 

Every shipping delay, every fertilizer shortfall, every spike in electricity prices is a cost Iran isn't paying.

The incentive to cause economic chaos outlasts the incentive to sue for peace. The math on oil is already severe.

Oxford Economics estimates that every $10 sustained increase in oil prices knocks 0.1% off global GDP. 

Federal Reserve models suggest the same $10 increase pushes US inflation up by roughly 0.35%. 

Oil is up about $30 from pre-war levels right now. If prices reach $140 and hold for two months, the US approaches a temporary economic standstill. Europe, the UK, and Japan face mild contractions.

There is a historical pattern here that economists keep raising: 1973, 1978, 2008. Every significant oil shock has been followed, in some form, by global recession. 

The Gulf War of 1990 to 1991 is the most instructive parallel, prolonged disruption, sustained high prices, meaningful economic slowdown even though the military phase was fairly brief. 

Gregory Daco, chief economist at EY-Parthenon, put it plainly: "The longer this lasts, the more significant the shock would be."

Why would this time be different? Especially when there's less cushion than there's ever been.

The Federal Reserve entered this conflict with inflation already above its 2% target, the easing cycle already paused, and American consumers already financially stretched. 

The WEF's 2026 Global Risks Report described the economy as "already navigating tariffs, post-pandemic debt overhangs and inflationary pressures." Cut rates to stimulate growth and inflation comes back. Raise rates and a stretched consumer breaks. There is no clean move.

The Part That Connects Back to the Bet

Here is where the story loops back to the $1.5 trillion.

People think of oil shocks as a gas pump problem. They are also a food problem, a chip problem, and a financing problem. 

It’s the three F's: fuel, fertilizer, and financial markets. All three are now in motion, and all three eventually hit the AI buildout.

Start with fertilizer, because it's the one nobody is watching. The Persian Gulf is a fertilizer corridor, not just an energy corridor.

According to Al Jazeera's reporting on the crisis, 46% of global urea supply comes from the Gulf. Qatar's QAFCO alone supplies 14% of the world's urea. Since LNG output from Qatar collapsed, here is what has happened in the span of weeks:

  • India cut output from three of its own urea plants
  • Bangladesh shut four of its five fertilizer factories
  • The US is already close to 25% short of fertilizer supply for this time of year
  • Urea export prices surged roughly 40%, from ~$500 to ~$700 per metric tonne
  • Nitrogen fertilizer prices could roughly double; phosphate up ~50%, per Morningstar analysts

This lands in the middle of spring planting season. Farmers who can't get fertilizer don't just have higher costs, they have lower yields. Lower yields mean food supply pressure in three to six months, well after the news cycle has moved on. The cause and effect will look disconnected. They won't be.

Zippy Duvall, president of the American Farm Bureau Federation, wrote directly to Trump warning that the US "risks a shortfall in crops" that "could contribute to inflationary pressures across the US economy." 

Jet fuel is up 58% since the war began. United Airlines has already warned fares will rise.

Here is how this connects back to AI. Higher food prices, higher energy bills, higher airline tickets... these all hit the same consumer who was supposed to start seeing AI productivity gains show up in their lives in the next two to three years. 

The patience required to get through the transition costs just got shorter. 

The political window for the buildout just got narrower. 

And the financing conditions that made $1.5 trillion in capex possible, low rates, stable inflation, patient investors, are all moving in the wrong direction at once.

Everything that makes the AI bet work is getting more expensive. Everything that makes it politically survivable is getting harder.

The Backlash Engine

AI already had a political problem before any of this. The job displacement anxiety is real and growing. The IP lawsuits are piling up. The environmental footprint was drawing scrutiny. But the resentment was abstract, it didn't have a number attached to it.

Energy costs give it a number.

US data centers already consume roughly 4.4% of national electricity, about 176 terawatt hours a year, according to Lawrence Berkeley National Lab

The IEA projects that roughly half of all US electricity demand growth over the next five years will come from data centers. Goldman Sachs estimates that data center electricity demand will add 0.1% to core US inflation in both 2026 and 2027. Retail electricity prices are already up 42% since 2019, significantly outpacing CPI.

The PJM Interconnection, managing the grid serving 65 million people from New Jersey to Illinois, saw data center capacity costs add $9.3 billion to the 2025 to 2026 cycle. That works out to $16 to $18 more per month on the average residential electricity bill. People are noticing.

An AI server rack requires 40 to 100 kilowatts of power. A traditional server rack needs 5 to 15. A single AI workload consumes roughly 1,000 times more electricity than a traditional web search. These are not marginal differences. They show up on bills.

Data centre electricity consumption by region, Base Case, 2020-2030

Data centre electricity consumption by region, Base Case, 2020-2030

Source: IEA, Energy and AI (2025)

When the energy price shock from the Iran war lands on top of bills already elevated by data center demand, the politics shift. 

And when you consider the environmental impact…

CO2 emissions associated with electricity generation for data centres by case, 2020-2035

CO2 emissions associated with electricity generation for data centres by case, 2020-2035

Source: IEA, Energy and AI (2025)

...permitting battles get even harder. Grid priority legislation becomes real. State-level pushback on data center tax exemptions accelerates. 

The buildout was already being slowed by cost. Now it gets slowed by politics. And those two forces amplify each other.

China Watches

There is one more actor in this story that has not fired a single shot. Yet. 

China controls roughly 90% of rare earth processing globally and about 70% of rare earth mining. 

Since July 2023, Beijing has been running a methodical escalation of export controls on the materials that underpin semiconductor manufacturing:

  • July 2023: gallium and germanium controls
  • October 2023: graphite controls
  • August 2024: antimony and superhard materials
  • February 2025: tungsten and tellurium
  • April 2025: seven medium and heavy rare earth elements
  • October 2025: comprehensive controls, for the first time asserting jurisdiction over foreign-made products containing Chinese-origin rare earths and over rare earth technology know-how globally

The October controls were suspended through November 2026 after US-China talks. 

Clark Hill, analyzing the announcement, described it as "a pause in escalation, not a strategic reversal." 

The underlying architecture is fully intact. The US Geological Survey has estimated that a total gallium and germanium ban alone could cost the US between $3.4 and $9 billion in GDP. The weapon is built. Beijing is deciding when to use it.

China doesn't need to do anything dramatic right now. 

The US is bogged down in a Middle East war. AI capex timelines are slipping. Supply chains are taking friction from every direction. 

Beijing can wait, let the situation compound, tighten rare earth flows through "administrative review" if the moment calls for it, and emerge in 18 months having closed the AI development gap while everyone else was watching Hormuz.

The Question Markets Haven't Asked Yet

The AI bet was not irrational. It was made by serious people with real conviction, backed by genuine technological progress. The case for AI productivity gains is not fabricated.

But it was a bet made under specific conditions: stable energy prices, accessible components, functional shipping lanes, cooperative geopolitics, and a consumer with enough slack to absorb a few years of transition costs before the gains showed up on their side of the ledger.

None of those conditions exist right now.

The insurance market has already repriced the Strait of Hormuz as a war zone. The fertilizer market is already pricing a supply shock. The shipping market is already pricing in a new risk premium that will not disappear when the shooting stops, because once underwriters reprice a region, they don't unwind it quickly. Reputational risk is sticky. Supply chain reroutes are sticky. Political backlash, once it finds a number to attach to, is very sticky.

The question is not whether the AI buildout survives this. Some version of it will. The question is whether the market has actually updated its model, or whether it is still running on the assumption that this resolves in a few weeks and everything returns to February 27th.

I don't think it resolves in a few weeks...

The bet was made. The conditions changed. The math is what it is.

By Michael Kern for Oilprice.com