@joel_bkr: if any economics profs would want help in securing funding to work on big AI questions, please please get in touch.
Summary
A call for economics professors to seek funding to work on major AI questions, emphasizing the need for economists to engage with AI problems.
View Cached Full Text
Cached at: 05/19/26, 02:42 AM
if any economics profs would want help in securing funding to work on big AI questions, please please get in touch. https://t.co/LGG7wyCIi5
Joel Becker (@joel_bkr): new (spicy) post from me: “Economists, mobilize”
economics ideas are extremely helpful for understanding AI, but academia is dropping the ball.
now is the time for economists to work on the most important problems in AI and to loudly encourage colleagues to do the same.
Similar Articles
@DanKornas: Economists need AI workflows, not another random prompt dump. Awesome Econ AI Stuff is a curated GitHub collection of A…
A curated GitHub collection of AI skills for economists, organized by workflow stage to automate research tasks like data cleaning and econometrics, using open-source formats.
I’m trying to use AI to build new economic models.
The author proposes using AI to scan signals from power grids, datacenters, and other sources to extract changes in power dynamics and generate better questions about the AI economy, rather than just answering existing questions.
OpenAI’s Economic Blueprint
OpenAI published an economic blueprint outlining its vision for US AI leadership, emphasizing infrastructure (chips, data, energy, talent), free-market competition, and sensible regulations to attract global investment and counter Chinese influence. The initiative includes a January 30 Washington DC event and a nationwide 'Innovating for America' program to drive AI economic benefits.
Big AI labs are hiring philosophers
Major AI laboratories are increasingly hiring philosophers to address ethical and safety concerns in AI development.
Economic impacts research at OpenAI
OpenAI launches a call for external researchers to study the economic impacts of large language models like GPT-3, ChatGPT, and DALL-E 2, releasing a research agenda and inviting PhD-level collaborators to examine labor market effects, inequality, and policy implications of AI deployment.