{"id":23930,"date":"2026-09-09T15:47:16","date_gmt":"2026-09-09T15:47:16","guid":{"rendered":"https:\/\/scannn.com\/will-ai-soon-lead-to-double-digit-growth\/"},"modified":"2026-09-09T15:47:16","modified_gmt":"2026-09-09T15:47:16","slug":"will-ai-soon-lead-to-double-digit-growth","status":"publish","type":"post","link":"https:\/\/scannn.com\/lv\/will-ai-soon-lead-to-double-digit-growth\/","title":{"rendered":"Will AI soon lead to double-digit growth?"},"content":{"rendered":"\n
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The following post represents the personal views of the author(s) and does not reflect or represent the positions of their employers.<\/em><\/p>\n

This piece outlines the economics behind oft-discussed predictions that AI will soon deliver double-digit GDP growth in advanced economies. Anthropic CEO Dario Amodei <\/span>says<\/a> that AI could push growth to something like 10-15 percent per year. Leopold Aschenbrenner\u2019s essay <\/span>\u201cSituational Awareness\u201d<\/a> states that the decade ahead \u201ccould see economic growth rates of 30%\/year and beyond.\u201d And in a widely shared <\/span>tweet<\/a>, Anthropic researcher Sholto Douglas advises \u201cpricing in economic doublings into your mental models of the 2030s,\u201d with Elon Musk <\/span>endorsing<\/a> the tweet. That is a growth rate of 100 percent per year. These are not isolated examples: predictions of double-digit growth are common among AI insiders, as <\/span>Tom Cunningham\u2019s compendium<\/a> of AI growth forecasts for 2025-2035 shows.<\/span><\/p>\n

We are extremely bullish on AI and think the capabilities explosion predicted by technologists is <\/span>already happening<\/a> and will only continue. But an explosion in capabilities is unlikely to translate into double-digit growth because of the (sometimes counterintuitive) economic forces that generate GDP growth in the first place. To paraphrase Milton Friedman\u2019s dictum about monetary policy, AI will affect GDP growth with \u201clong and variable lags.\u201d We will not argue about what the economy might look like in 2080 or 2100. Our claim is about the timeline: in the next 10-15 years, growth rates upwards of 10% are extremely unlikely and a much more reasonable baseline is, say, 4-5% (which would already be massive). <\/span>Even <\/span>Anthropic’s own economic model<\/span><\/a> only reaches double-digit growth in its “extreme” scenario; its “modest” and “substantial” scenarios stay well within the single digits.<\/span> The uncertainty around these numbers is enormous and we are not making a forecast; instead our aim is simply to outline the assumptions that need to <\/span>all hold <\/em>in order for double-digit yearly growth to happen and to explain why we think they won\u2019t. We have put money on this: see <\/span>this bet<\/a> that US per capita real GDP growth will stay below 15% in every year through 2033.<\/span><\/p>\n

This piece proceeds in four steps:<\/p>\n

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  1. \n

    Before starting, we remind the reader of some basic growth rate arithmetic. We argue that it is often much more useful to first think in <\/span>levels<\/em> rather than growth rates. That is, to ask yourself \u201chow much richer will we be, say, 15 years from now?\u201d and then back out the implied growth rate rather than directly jumping to predictions about growth rates. This simple exercise can often prevent drawing overly fast conclusions from seemingly small growth rates. For example, if you think that we will be 200% (i.e. twice) as rich 15 years from now that implies an annual growth rate of 4.7%. That is, a growth rate in the 4-5 percent range would already be massive.<\/span><\/p>\n<\/li>\n

  2. \n

    With this in mind, it is important to be clear that, <\/span>theoretically<\/em>, it is entirely possible that AI will cause GDP growth to explode to double digits within a short time frame or that the economy will, say, double every single year some time in the 2030s. That is, there is <\/span>absolutely nothing<\/em> in standard growth theory that constrains growth rates to be in the single digits. In fact, as we show below, it is easy to write down a standard textbook growth model of the type we routinely teach our undergrads (a souped-up Solow model), plug in some seemingly innocuous parameter values, and get an AI-driven short-term growth explosion. The basic logic is that, by replacing labor with capital, automation alleviates \/ eliminates diminishing returns and removes labor as a bottleneck on growth. Other (and fancier!) modeling approaches yield the same prediction based on the same logic.<\/span><\/p>\n<\/li>\n

  3. \n

    But just because something is possible <\/span>in theory<\/em> doesn\u2019t mean it will actually happen <\/span>in practice<\/em>. The reason is that theories that predict explosive growth make a number of implicit assumptions that are unlikely to be satisfied in the real world. We group them into five categories:<\/span><\/p>\n