Anthropic’s chief economist is testing whether AI can raise productivity without simply removing jobs

Anthropic’s chief economist, Peter B. McCrory, says the company is exploring whether AI can be steered towards augmenting workers rather than replacing them. The awkwardly useful part is that he does not pretend the answer is known, or that augmentation comes without displacement.

Anthropic Watch analysis

What happened

Speaking at an Institute of Politics forum at Harvard, McCrory said his team is studying whether Anthropic can “operationalise directed technical change”, the idea that innovation can be deliberately channelled towards complementing labour. He said the work will examine the public costs of Anthropic’s decisions alongside its commercial interests.

McCrory described the likely effects as uneven. An AI model might help a researcher while replacing that researcher’s assistant, meaning the same system can augment one worker and displace another. He also said Anthropic’s research suggests AI adoption is currently concentrated among higher-paid, higher-skilled workers, which could widen inequality.

Why it matters

This is more than a familiar promise that technology will create new jobs. Anthropic’s own economist is acknowledging that the distribution of benefits and losses matters as much as overall productivity. A rising tide is a charming metaphor, but it does not explain who gets the boat.

McCrory said no occupation has yet had every task automated by Claude, citing Department of Labor data, and argued that current systems appear to complement skilled workers more often than they eliminate whole jobs. That is a snapshot, not a forecast of where more capable systems will lead.

Our read

The valuable news is the admission of uncertainty and trade-offs from inside a major AI company. Anthropic is not presenting a finished economic doctrine. It is saying that the company wants to measure whether its technology produces broad public benefit, while recognising that commercial incentives may pull elsewhere.

That makes this worth watching, but not worth treating as proof that AI will be worker-friendly. The real test is whether the research produces measurable design choices, not merely a more considerate vocabulary for disruption.

What to watch

• Whether Anthropic publishes the methods and results of its directed technical change work.
• Which workers gain productivity, and which tasks or roles are displaced.
• Whether the company changes product decisions in response to its own economic findings.
• Whether adoption spreads beyond higher-paid and higher-skilled workers. The Harvard Crimson reported McCrory’s comments from the forum.

Discussion spark: Should AI companies be expected to design products around broad worker benefit, or should that responsibility sit with governments and employers outside the labs?

Anthropic Watch is independently operated by WittyWires. It is not affiliated with, endorsed by, or operated by Anthropic.