Anthropic Modeled Its Own Industry's Effect on Knowledge Workers. The Best Case Is Flat Wages.

Anthropic, the company that builds the Claude models, published an economic model of its own industry's effect on jobs and wages by 2030. The report is called "Scenarios for our Economic Future," built on a technical paper, Economic Scenarios for Transformative AI (Korinek et al., 2026). It lays out three paths, and none of them are simple good news for the people doing knowledge work today.

What happens in the modest scenario?

In the modest scenario, AI's impact on the economy looks something like the internet's did: useful, gradual, spread out over years. US GDP in 2030 reaches $34.1 trillion, 1.6% above what it would be without AI. Knowledge workers see wage gains here. Labor keeps close to its current 59.4% share of total output.

What happens in the substantial scenario?

In the substantial scenario, AI does half of all knowledge work by 2030, most of it without a person driving each task. GDP reaches $36.3 trillion, 8.3% above baseline. Knowledge-worker wages go essentially flat. Labor's share of output slips to 56.1%, as capital's share picks up 3.9 points.

What happens in the extreme scenario?

In the extreme scenario, AI outperforms humans at most knowledge-work tasks and keeps improving on its own. GDP reaches $44.4 trillion, 32.4% above baseline. Knowledge-worker unemployment climbs past anything seen in a past US recession. Wages for the workers whose tasks AI took over fall by more than 10%. Labor's share of output drops to 45.2%, a 14.8-point shift toward capital.

Anthropic's own extreme-scenario finding states the real risk directly: "The main challenge is not achieving economic growth, but making sure the benefits are broadly shared and the costs aren't unequally dispersed."

Which single variable decides the outcome?

Read the three scenarios side by side and a single variable decides which side of that split a knowledge worker lands on. Every scenario assumes AI touches their work. The difference is how much of the task AI takes over outright, versus how much runs alongside a person who still makes the call. The modest scenario, where wages rise, leans toward a person keeping that call. The extreme scenario, where wages fall by double digits, is the one where AI runs the task "autonomously," Anthropic's own word.

Augmentation, in this sense, means AI does the gathering, sorting, and first-draft work while a person still owns the judgment at each decision point. Replacement means the task runs end to end with no one making that call.

Where does Foragentis sit on that fork?

That fork is more than an abstraction to us. It is the design choice Foragentis makes explicit in every ForIntel report. Knowledge work, exactly the category Anthropic is modeling, is what we build: competitive analysis, market-entry dossiers, industry research. A ForIntel report never lets AI make the final call alone. Every claim resolves to a checkable source. A human sits at the decision points that determine what is published. That is the augmentation side of Anthropic's own fork, applied to the category of work its report says is most at risk.

We have written before about what happens when the human call drops out of research work: all four of the Big Four published AI-hallucinated reports in under a year, and each one traced back to a claim no person had checked against a real source.

Why read the scenarios yourself?

The company building the models just published the numbers behind what happens to knowledge workers when that choice goes the other way. The scenarios are worth reading directly, as a gut check on how your own team is using AI in research or analysis work, and on whether a person still makes the call: foragentis.com.

FAQ

What does Anthropic's "Scenarios for our Economic Future" report say?

Anthropic, the company that builds the Claude models, published an economic model of its own industry's effect on jobs and wages by 2030. Built on the technical paper "Economic Scenarios for Transformative AI" (Korinek et al., 2026), it lays out three paths, modest, substantial, and extreme, and none of them is simple good news for the people doing knowledge work today.

What happens to knowledge-worker wages in each Anthropic scenario?

In the modest scenario, knowledge workers see wage gains and labor keeps close to its current 59.4% share of total output. In the substantial scenario, AI does half of all knowledge work, knowledge-worker wages go essentially flat, and labor's share slips to 56.1%. In the extreme scenario, wages for the workers whose tasks AI took over fall by more than 10%, knowledge-worker unemployment climbs past anything seen in a past US recession, and labor's share of output drops to 45.2%.

How much does US GDP grow in Anthropic's three scenarios?

By 2030, US GDP reaches $34.1 trillion in the modest scenario (1.6% above what it would be without AI), $36.3 trillion in the substantial scenario (8.3% above baseline), and $44.4 trillion in the extreme scenario (32.4% above baseline). Anthropic's own extreme-scenario finding states the risk directly: "The main challenge is not achieving economic growth, but making sure the benefits are broadly shared and the costs aren't unequally dispersed."

What single variable separates the good and bad outcomes for knowledge workers?

Every scenario assumes AI touches knowledge work. The difference is how much of each task AI takes over outright, versus how much runs alongside a person who still makes the call. The modest scenario, where wages rise, leans toward a person keeping that call. The extreme scenario, where wages fall by double digits, is the one where AI runs the task "autonomously," in Anthropic's own word.

How does ForIntel apply this fork in practice?

ForIntel produces exactly the category of work Anthropic is modeling: competitive analysis, market-entry dossiers, industry research. A ForIntel report never lets AI make the final call alone. Every claim resolves to a checkable source, and a human sits at the decision points that determine what is published. That is the augmentation side of Anthropic's own fork, applied to the work its report says is most at risk.

ForIntel is a research-first business-intelligence product from Foragentis. Every quantitative claim in a ForIntel brief traces to source data, is cross-corroborated across independent measures, and passes a counter-signal verification step before it is published. To see a sample brief or commission a read, reach the ForIntel desk at forintel@foragentis.com.