August 14, 2026
By Dr. Majid Rafizadeh
Key Takeaways
Unlike earlier cycles of exaggerated expectations followed by disappointment, current AI systems are already commercially deployable and delivering measurable productivity gains across manufacturing, logistics, healthcare, customer service and other sectors.
Macroeconomic estimates project significant long-term impact, including higher global GDP growth, cumulative contributions measured in the trillions of dollars, and rapid commercial expansion evidenced by strong revenue growth at major AI firms and national industries.
Gains will be uneven and depend on infrastructure, skills and policy readiness; countries such as Saudi Arabia are actively positioning AI as a tool for economic diversification under national strategies, reinforcing the case for treating AI as a durable growth engine rather than temporary hype.
One recurring question that policymakers, business leaders and investors face whenever a powerful new technology emerges is whether it will deliver sustained increases in productivity and output or if enthusiasm will fade once practical limits become clear. Today, artificial intelligence sits at the center of this debate.
Despite earlier cycles of optimism only leading to disappointment, the technology has advanced rapidly in recent years. The latest developments and concrete evidence indicate that AI is going to become a major driver of long-term economic growth, with its impact likely to accelerate in the years ahead.
Technological revolutions have historically generated both exaggerated hopes and underestimations of their lasting effects. For example, the early commercial internet produced a speculative bubble that collapsed around the turn of the millennium, yet the underlying infrastructure later supported durable gains in commerce, communication and productivity.
Other similar patterns exist, such as those relating to the diffusion of electricity and the internal combustion engine. AI has followed a comparable path. Periods of heightened expectation in earlier decades gave way to “AI winters,” when capabilities lagged behind promises.
But the present phase differs because foundational advances have already produced systems that are commercially deployable, rather than being confined to research laboratories.
Secondly, evidence of the industry’s transformation is widespread, covering fields such as manufacturing, logistics and supply-chain operations, while healthcare applications include machine-learning assistance in medical imaging analysis and accelerated drug discovery and clinical trial design.
Another aspect is AI’s customer service applications, which provide clear micro-level results. For example, in a carefully studied rollout at a Fortune 500 firm, access to a generative AI conversational assistant raised the number of issues resolved per hour by about 15 percent on average among more than 5,000 agents, with the largest gains accruing to less experienced workers.
Research looking at European firms found that AI adoption raises labor productivity by about 4 percent in the short run, driven primarily by capital deepening rather than immediate job displacement, while complementary investments in software, data and workforce training increase the benefits.
Macroeconomic assessments and reports reinforce these findings. For instance, the International Monetary Fund has estimated that AI could raise average annual global gross domestic product growth by 0.5 percentage points between 2025 and 2030. World Trade Organization analysis projects that, by 2040, global GDP could be up to 13 percent higher and the value of trade nearly 40 percent higher, relative to a baseline without AI-driven advances. These effects arise from lower trade costs and stronger productivity growth in sectors integrated into international commerce.
In addition, longer-horizon estimates associated with PwC place AI’s cumulative contribution to the global economy by 2030 in the vicinity of $15 trillion, reflecting both productivity improvements and demand-side effects from better products and personalized services.
But it is vital to note that gains are likely to be uneven. Advanced economies with strong digital infrastructure, skills and institutional readiness will have larger near-term benefits.
Further evidence of progress is corporate performance, which provides tangible illustrations of commercialization at scale. For example, Nvidia, the leading supplier of AI accelerators, reported record revenue of $215.9 billion for the fiscal year ending in January, a 65 percent increase from the prior year. This growth reflects intense demand for training and inference infrastructure.
Meanwhile, Microsoft’s AI business has reached an annualized revenue run rate of $37 billion and OpenAI generated more than $20 billion in revenue in 2025.
In China, the AI industry exceeded 1.2 trillion yuan ($176 billion) in 2025, growing about 40 percent year-on-year, with more than 6,000 AI companies and expanding applications in manufacturing and services.
These figures demonstrate that AI is already generating substantial commercial value and is not confined to experimental research.
The Middle East, and Saudi Arabia in particular, illustrates how determined national strategies can convert AI into a tool of economic diversification and growth. PwC estimates that AI could contribute about $320 billion to the Middle East economy by 2030. Saudi Arabia is projected to capture the largest absolute share — about $135 billion or some 12 percent of GDP — while the UAE is expected to see a relative impact approaching 14 percent of GDP.
Under Saudi Arabia’s Vision 2030 and its National Strategy for Data and Artificial Intelligence, overseen by the Saudi Data and AI Authority, the Kingdom aims to rank among the top 15 AI nations by 2030. The Public Investment Fund has established Humain as a dedicated AI vehicle, pursuing large-scale data center capacity, Arabic-language foundation models and partnerships with leading technology firms including Nvidia and AMD.
In conclusion, I believe the evidence clearly shows that AI has progressed from a speculative narrative and is now operating systems that are already enhancing productivity, reshaping industries and generating commercial returns that are measured in the tens and hundreds of billions of dollars. Institutional forecasts of contributions to global GDP and the rapid growth of national AI industries in places as diverse as China and Saudi Arabia are also real and expanding. Therefore, for policymakers, business leaders and investors, the evidence clearly supports treating AI as a durable engine of economic expansion rather than a temporary field filled with irrational enthusiasm and hope
About Dr. Majid Rafizadeh
Dr. Majid Rafizadeh is a Harvard-educated Iranian-American political scientist. X: @Dr_Rafizadeh
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