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For the better part of two years, a powerful consensus has taken hold: artificial intelligence is the great disinflationary force of our time. The logic, touted by billionaire investors like Marc Andreessen and Vinod Khosla, is seductive and seemingly airtight. AI substitutes cheap technology for expensive human labor. It supercharges productivity. It lowers barriers to entry, spawning legions of scrappy startups that compete on prices and margins. The result, the thinking goes, is a secular decline in inflation that will keep interest rates low for years and give the Federal Reserve room to breathe.<\/p>\n
There\u2019s just one problem. When Deutsche Bank\u2019s economists decided to test that consensus \u2014 by asking the AI tools themselves \u2014 the machines disagreed.<\/p>\n
\u201cDoes AI agree with this consensus?\u201d the bank\u2019s research team, led by Chief U.S. Economist Matthew Luzzetti, wrote in a note published March 30. \u201cSurprisingly not.\u201d<\/p>\n
The experiment<\/p>\n
The exercise was simple in design but striking in its implications. Luzzetti\u2019s team posed a structured probability question to three leading AI systems: Deutsche Bank\u2019s own proprietary tool, dbLumina; OpenAI\u2019s ChatGPT 5.2; and Anthropic\u2019s Claude Opus 4.6. The prompt asked each model to assign probabilities to four outcomes for U.S. inflation \u2014 that AI raises it, leaves it roughly unchanged, slightly reduces it, or meaningfully reduces it \u2014 over both a one-year and five-year horizon.<\/p>\n
The answer landed with a thud. At the one-year horizon, all three tools agreed that the most likely outcome is minimal impact. But more striking: every model rated AI\u00a0raising\u00a0inflation as more probable than AI\u00a0meaningfully reducing\u00a0it. dbLumina put the odds of AI lifting inflation at 40%, versus just 5% for a meaningful decline. Claude: 25% vs. 5%. ChatGPT: 20% vs. 5%.<\/p>\n
The culprit cited consistently across all three models is the AI investment boom itself. Data centers are multiplying. Semiconductor demand has surged. Electricity consumption from AI workloads is rising sharply. That kind of demand-pull pressure doesn\u2019t lower prices. It raises them. Even at the five-year horizon \u2014 where the models do shift more toward disinflationary outcomes \u2014 the dramatic deflationary collapse that some have forecasted remains firmly in tail-risk territory.<\/p>\n
That\u2019s a notably more cautious picture than the one sketched by some of the most provocative voices in financial analysis. James Van Geelen\u2019s Citrini Research, the top finance Substack, rattled markets in February with a scenario of a coming \u201cwhite-collar recession,\u201d arguing that AI won\u2019t just ease prices \u2014 it will destroy the consumer base that sustains them. In a viral \u201cthought experiment\u201d written as a dispatch from 2028, Citrini described \u201cghost GDP\u201d: a scenario in which AI inflates the national accounts while mass layoffs hollow out household incomes and \u201cmachines spend zero dollars on discretionary goods.\u201d The result, in his scenario, is a negative feedback loop \u2014 corporate AI adoption triggers unemployment, which in turn triggers more AI adoption \u2014 culminating in a 10.2% unemployment rate and a 38% S&P 500 crash.<\/p>\n
A March 2026 Anthropic study found that AI tools like Claude are theoretically capable of automating the vast majority of tasks in high-paying white-collar fields: 94% of computer and math work, 90% of office and administrative roles, yet actual adoption is only a fraction of that potential. If and when AI closes that gap, the downward pressure on wages and service costs could be significant, though the researchers note no systematic rise in unemployment has occurred yet.<\/p>\n
Anthropic researchers found that actual AI adoption is a fraction of what AI tools are capable of performing.<\/p>\n
Anthropic\/\u201dLabor market impacts of AI: A new measure and early evidence\u201d<\/p>\n
What could happen next?<\/p>\n
The Deutsche Bank AI tools don\u2019t go nearly that far. Their collective message is more measured: the disinflationary promise is real but overstated, the timeline is longer than markets assume, and the near-term investment surge could cut the other way entirely.<\/p>\n
Deutsche Bank\u2019s economists leave the philosophical punchline hanging. If AI is wrong about its own inflationary impact, they note, perhaps we should \u201crethink our assessment of how transformative it is likely to be for complex knowledge work like forecasting, at least in its current form.\u201d And if it\u2019s right, markets may be pricing in AI-driven disinflation ahead of what\u2019s actually happening.<\/p>\n
Annoyingly, depending on your perspective, AI may be a little bit too much like the economists who programmed it. \u201cA middle ground is that AI is taking a sensible approach by assigning relatively flat probabilities across outcomes in a highly uncertain environment with longer time horizons,\u201d Luzzetti\u2019s team wrote. \u201cHaving been trained on a corpus of text from economists, AI is simply acting as the proverbially two-handed economist, hedging its views against an unknowable backdrop.\u201d<\/p>\n
Either way, the machines were asked a direct question about their own economic legacy.<\/p>\n
Their answer was: \u201d It\u2019s complicated.<\/p>\n
For this story,\u00a0Fortune\u00a0journalists used generative AI as a research tool. An editor verified the accuracy of the information before publishing.<\/p>\n
#Deutsche #Bank #asked #solve #economys #inflation #problems #robots #answered<\/p>\n","protected":false},"excerpt":{"rendered":"
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