Thanks a lot to all speakers for these extremely interesting days of discussion, including on tracking AI #diffusion, and its role for #competition and #productivity! If you couldn't join live, you can replay #AIWIPS sessions at this link: oecd-events.org/ai-wips2024/se…

Miracle or myth: Assessing the macroeconomic #productivity gains from artificial intelligence #AI Francesco Filippucci, Peter Gal, Matthias Schief OECD ➡️ Better Policies for Better Lives @oecdeconomy ow.ly/GvNr50UnhRT

How are various sectors such as IT, media, telecom, pharma, scientific R&D and transport using Artificial Intelligence to boost innovation and efficiency? Explore the OECD's latest insights on #AI's transformative role across industries: brnw.ch/21wQJeZ | #OECDAI

How are various sectors such as IT, media, telecom, pharma, scientific R&D and transport using Artificial Intelligence to boost innovation and efficiency? Explore the OECD's latest insights on #AI's transformative role across industries: brnw.ch/21wRcVL | #OECDAI

📣 Join us for The AI Value Chain: Research & Policy Priorities — a 1.5-day workshop hosted by the Bennett Institute for Public Policy & OECD ➡️ Better Policies for Better Lives online. 🗓️ 6–7 May 2025 📍 Online 🤖 Exploring AI hardware, innovation, & societal impact View the agenda & register: bennettinstitute.cam.ac.uk/events/the-ai-… #AIValueChain

A new workshop on the economic of AI organized at Collège de France on June 10th. Featuring keynote by Philippe Aghion and Chad Jones (remotely) and a set of wonderful speakers (program below). Entry is free and without registration. More information sites.google.com/view/rceaworld…

Carl is right. AI is already boosting productivity in many tasks, but the real power of general-purpose technologies, from the steam engine and electricity to AI, lies in catalyzing new products and processes.

This paper shows the same effect as other studies of "cheating" with AI - if you use AI to do the work (as opposed to using it as a tutor), you don't learn as much. But note: the results are specific to the essay task - not a generalized statement about LLMs making people dumb.

Check out our new OECD Innovation #AI working paper on the "Effects of #generative #AI on #productivity, #innovation and #entrepreneurship", with J. Reijerink & Lea Samek , where we review findings from 80+ recent #experiments on the topic. Read more 👉 doi.org/10.1787/b21df2…

A new paper from MIT Sloan postdoctoral associate Loaiza and professor Roberto Rigobon finds that work that's dependent on human characteristics such as empathy, judgment, and hope is less likely to be replaced by AI. Learn more: bit.ly/4kWPgPJ

This is one of the most important papers on the labor market impacts of AI in recent memory. Awesome, clarifying work by Neil Thompson and David Autor

Is #generativeAI a general-purpose technology? Check out our new OECD Innovation #AI paper with D. Haerle and S. Liu, where we discuss evidence about its #pervasiveness, #improvements and #innovation-spawning, critical for long-run #productivity growth 👇 doi.org/10.1787/704e2d…

#GenerativeAI has the potential to transform work, boost #productivity, foster innovation and stimulate entrepreneurship — but its effects vary. In our blog, we explore key findings of recent experimental studies on its potential impacts: oe.cd/684 | #OECDAI

Does #GenerativeAI meet the criteria of a general-purpose technology, like electricity or the steam engine? Some signs suggest it might, but as #GenAI fuels innovation, major productivity gains will depend on policy, investment & skills: oe.cd/68i #AIpolicy #OECDAI

This is the first (small) controlled study I have seen of GenAI on industrial quality control. Here, engineers commissioning new trains took part in an experiment using a GPT-3.5 powered troubleshooting system. Those who used the chatbot had significant increases in work quality

Interestingly, an economics paper that came out in 2023 predicting which jobs would overlap most with AI turned out to be right. A new Microsoft study of actual AI use by workers (more on that in another post) found a 90% correlation between real world overlap & the predictions.