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Gavekal-IS
The Macroeconomics Of AI: Part II
Didier Darcet
21 Aug 2026
In the second part of his series on the macroeconomics of AI, Didier argues that the economic impact of artificial intelligence will depend not just on technological progress, but on how widely it diffuses through the economy. Countries do not need to develop the world’s best AI models to reap the productivity gains and can instead win the race by diffusing the technology across their economies. This sets up an emerging contest between the US model of proprietary AI leadership and China’s push to spread cheap, open-source technology around the world.
Gavekal-IS
The Macroeconomics Of AI In Simple Terms
Didier Darcet
6 Aug 2026
The economic promise of artificial intelligence depends not only on expanding computing power, but on how effectively its gains spread into the wider economy. Didier frames growth as the interaction of energy, information and network effects, arguing that AI’s impact will ultimately be determined by the productivity it delivers beyond the data center. Even a modest transfer of AI-generated knowledge into the traditional economy could materially raise global productivity, although the adjustment in employment may prove disruptive.
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Currency Momentum Trading
Currencies have long resisted traditional economic models, yet one simple pattern has proved remarkably persistent: short-term momentum. Didier revisits a systematic strategy first introduced in 2022, showing that it has continued to outperform while extending naturally beyond fiat currencies to gold and oil. The result is a straightforward quantitative framework that offers a fresh perspective on trading money in all its forms.
The End Of The Risk-Free Asset
The foundation of modern finance—the assumption that long-dated US treasuries are the world's risk-free asset—is increasingly being called into question. Didier argues that the era of abundant savings and stable sovereign bonds is giving way to one of capital scarcity, forcing investors to rethink everything from valuation frameworks to portfolio construction. As central banks diversify into gold and bond markets become less reliable anchors, he explores what should replace the traditional risk-free rate and how investors can adapt.
The Great Confusion Over Economic Quadrants
Markets increasingly resemble an inflationary boom, but a longer-term perspective suggests the global economy is still digesting the inflation shock of 2021-23, says Didier. Using Gavekal-IS's seven-year framework, he explains why today's conflicting signals are less contradictory than they appear and why growth could reaccelerate later this year. For investors, it offers a disciplined framework for avoiding major macro pitfalls.
The Bond Portfolio For A Swiss Investor
Swiss government bonds offer safety, but today that safety comes with a guaranteed loss of purchasing power. Didier asks whether investors can improve returns and reduce risk by diversifying part of their bond allocation into gold and the sovereign debt of countries benefiting from the changing global monetary order.
From Desacralization To Resacralization Of Power
For 5,000 years, political history has been a gradual process of stripping power of its sacred character. Didier argues that modern capitalism may be reversing that trend, with dual-class shares, founder control and AI governance creating a new form of authority detached from ownership and increasingly justified by mission rather than accountability. He explores why shareholders are willingly surrendering control and what that means for the future of capitalism.
A Baby Shower For Information As An Asset Class
Before year-end, futures contracts on computing power could begin trading in the US. Likely participants include AI labs like OpenAI and Anthropic, cloud giants such as Amazon Web Services, Google Cloud and Microsoft Azure, data-center operators and financial institutions like BlackRock. Didier argues that this is far more than the launch of another derivative contract. It may represent the creation of a new asset class: information itself.