New blog showing that labor market tightness measures produced by LinkedIn track US inflation, wages, and JOLTS/BLS measures well! Thanks to Casey Weston for sharing the data, and @PeterMcCrory for introducing us (and creating the JPJI!).

Great to see Anthropic's new Public Benefit Report today, especially the new pillar focused on empowering every person pursue to pursue a good life, including meaningful work. In earlier research, that's one of the main things that people hope for in an AI-transformed economy — working toward this vision is a big reason why I joined Anthropic in the first place.

We’re committing a portion of Anthropic’s shares to the Anthropic Public Benefit Fund, a new wholly owned entity dedicated entirely to the public benefit. It will start off with 5% of our shares. For every 50% increase in the company’s value over a set baseline, we can contribute up to an extra 2%, subject to our board’s discretion. In total, this means that roughly 20% of Anthropic’s shares are committed to the public good. Our co-founders have already pledged to donate 80% of their equity, and around half our employees are donating a portion of their equity as part of a donation matching program we’ve run since our founding. In the post below, we share more details about our new fund.

Good clarification from @ben_moll . These are model-implied scenarios for growth rather than direct GDP forecasts. Anthropic staff expect more capable models, faster diffusion, and greater productivity gains from AI when its used. In the model, such forces accelerate growth.

This is such a great grounded quantitative (and qualitative) case study of one bleeding edge organization as it adapts to using agents everywhere. Must read if you want a glimpse of the organization of the future. Well done @natewilmers and team! (Loved the UAW reference from the 1950s)

Today, we're publishing two new findings from inside Anthropic: how work and hiring are changing at a company at the frontier of AI adoption, and how Anthropic staff expect AI to change the economy.

Today we're sharing some initial data on how Americans use Claude for politics, based on aggregated conversation data analyzed with differentially private methods. A couple interesting takeaways: *Almost no one asks AI how they should vote* About ~5.75% of conversations in the US touch on some kind of political or social issue in a recent one-week period, and less than 0.01% of conversations involve asking how to vote. *Political conversations have many goals* These conversations have wide-ranging goals, everything from research and writing assistance to learning, fact-checking, and arguing. We are continuing to make progress on improving how Claude talks about these topics---steadily increasing our performance on our even-handedness evals and partnering with a range of outside organizations to develop new measures of political bias---and I hope that sharing information about the shape of these conversations will help people outside the company evaluate AI's political bias, accuracy, and other criteria in ecologically valid ways. I'd love to discuss this with people who are interested, as it was a huge priority for me before joining. This was a big joint effort as part of our work preparing for the midterm elections @AnthropicAI. Full post is here:

When I posted this in March, many people pointed out that it did not include the labor impact of robotic systems combined with language models. Anthropic updated the chart in a report released this morning.

New report with @AnthropicAI: What work can robots do today? We find that robots extend AI exposure far beyond digital work. Over 80% of working hours in the US are exposed to robots or LLMs, but robots are cost-competitive for just 0.3%. If robot price declines follow past trends, it will take 40 years to reach 10%. 1/6

How are prices determined? While I slept, Claude made me "History of economic thought since Aristotle." I asked it to use my favourite textbook (Blaug, Economic Theory in retrospect). The result will astonish of you. Even top economists here will learn something, I promise.

What will the rate of AI advancement and business adoption mean for growth and the labor market? What will happen to wages and unemployment and the share of a growing economy accruing to workers rather than to owners of capital?

A very helpful overview of how AI is being used across Google’s surfaces. It's great to have more insight into AI adoption around the world to complement what we see in the Anthropic Economic Index. This work helps us all make sense of AI’s economic impact.

Why hasn’t AI increased unemployment? Today I’m sharing an essay taking on that question. Plus two updates: our Economic Index is now available in Claude, and we’ve released the agenda for our $200 million Economic Research Fund.