
Economist Nouriel Roubini has long been known for making pessimistic predictions and earned the nickname “Dr. Doom,” but he has publicly turned bullish on the topic of artificial intelligence (AI). At the Greenwich Economic Forum in Hong Kong, Roubini said AI is not a bubble, but a structural technology that will continue to evolve. He also predicted that by 2050, the AI-driven technological revolution could push the United States’ average annual GDP growth rate to 10%.
Roubini’s shift in stance is based on clear arguments. He believes that the widespread adoption of AI and semiconductor technology will form the global economic growth engine over the next 10 to 20 years, and that this underlying driver will not be fundamentally disrupted by geopolitical shocks, climate change, or waves of populism.
In his forum speech, he said directly: “This underlying driver—no matter how geopolitics, climate change, or populism evolves—will be the growth engine for the next 10 to 20 years, which is a positive factor for the global economy as a whole.”
He also maintained a cautious view toward short-term human factors: “From a medium- to long-term perspective, technology will ultimately take the lead, but in the short term, we may cause massive destruction by doing a lot of foolish things.” This phrasing precisely reflects his layered position—optimistic about AI in the long run, cautious about short-sighted policy.
For the future trajectory of AI-driven economic growth, Roubini proposed specific phased targets, with the timeline extending to 2050:
2030 target: AI drives the U.S. average annual GDP growth rate to 4%. Even in the face of today’s geopolitical shocks, this trend will not reverse
2040 target: The growth rate climbs further to 6%, reflecting the gradual release of productivity gains after AI technology is widely deployed
2050 target: AI innovation becomes the core engine of global growth, and the U.S. average annual GDP growth rate ultimately reaches 10%
Roubini named the United States and China as the main beneficiaries of this new era of growth, arguing that both countries’ technical accumulation in AI and semiconductors gives them the strongest structural advantages in the global competitive landscape.
Roubini put forward a rather controversial view at the forum—that in a new era led by AI, the role of political leaders is fundamentally diminished. He said that even if “Mickey Mouse” were elected U.S. president, the U.S. economy would continue to grow, because the U.S. tech industry has internal momentum to ensure this growth rate, which has nothing to do with the White House’s policy stance.
The core of this logic is that the growth momentum behind AI and the growth of technological infrastructure comes from iterative technological evolution and market demand, not from policy directives. While political uncertainty may cause fluctuations in the short term, it cannot fundamentally reverse the structural direction in which AI serves as a long-term growth engine.
Roubini earned the “Dr. Doom” moniker for accurately warning of systemic risk during the 2005 to 2007 period that preceded the 2008 global financial crisis, and for being known over the long term for his pessimistic outlook. This time, his public shift to bullishness on AI and his provision of a concrete growth roadmap spanning 2030 to 2050 are viewed by the market as a heavyweight signal of a shift in market sentiment.
Roubini believes AI is an underlying technology that continues to evolve. Its impact on productivity is long-term and structural, fundamentally different from bubbles in the past that were purely financial-tool driven. He predicts that AI’s technological dividends will be gradually realized over the next 20 years—not disappear after a short-term bubble bursts—and he explicitly positions it as a global growth engine for the next 10 to 20 years.
Roubini believes that both the United States and China are globally leading in research and development investment and industry accumulation in artificial intelligence and semiconductor technologies. Their technical innovation capabilities give both countries the strongest structural advantages in the global competitive landscape, and they will dominate the power to influence technology pricing in the new growth era driven by AI.
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