Director, FutureTech research project at MIT Computer Science & A.I. Lab, and PI at the Initiative on the Digital Economy at the MIT Sloan School of Management.
AI and the energy transition are reshaping the economy. Join EG and experts on June 10 to discuss how these factors influence growth and interact with climate change and regional development.
Feat @CostaSamaras, @HBoushey, @JigarShahDC@ProfNeilT
RSVP➡️
https://t.co/DUJPCgNj9b
MIT researchers @ProfNeilT and @davidautor joined the @csail_alliances podcast to talk about why AI’s impact on jobs hinges less on automation and more on how well the technology is designed to work with humans. https://t.co/O2uIHjqIIB
Very interesting new paper AI and Scale: A Quantitative Task-Based Theory of Automation by @DanialLashkari@li_wensu C. Qiu and @ProfNeilT which takes serious the role of scale in driving AI performance and capabilities and, hence, firm adoption.
Applied to the context of computer-vision automation, they find firm-level adoption follows a classic S-curve, rising from under 1% of firms in 2023 to nearly 1/4 by 2035 (>50% if employment-weighted)
Beyond job displacement, this is the real shift.
AI doesn’t just automate work, it reshapes where expertise matters.
As @davidautor and @ProfNeilT note, when machines handle the predictable, value moves to judgment and creativity.
That’s what most “AI-first” strategies miss.
#AI
@MITSloan's FutureTech is hiring a pre-doc to work w/ Prof. Thompson (@ProfNeilT) on topics related to AI Progress and Timelines; AI and Science; Future of Work; Market Structure and Firm Performance
https://t.co/PAXqQKedAt
Our new paper shows how AI foundation models are being adopted in science. Growth is rapid, but uneven. The AI models being used are old and underpowered, so there is still lots of room to make science more productive! @MITFutureTech@MIT_CSAIL@mit_ide https://t.co/KXAZCA8XJW
Our new paper breaks down algorithm progress in AI (which is faster than GPU progress). Surprisingly, much of the gains have only gone to the largest models, which is bad news for AI efficiency improvement. @MITFutureTech https://t.co/vf0Bw4Zyrt
This week, Jensen Huang argued that "everybody's jobs will be different" because of AI.
What will that mean for your job?
I'll talk with @davidautor and @ProfNeilT on Dec 2 at @MITMuseum. Come join us!
https://t.co/DEf8JERvfL
#NDTVWorldSummit | "We have seen chaos in AI" : Neil Thompson (@ProfNeilT), Director, FutureTech Research Project, MIT’s Computer Science and Artificial Intelligence Lab notes the "chaos" that can entail in the future of AI
#NDTVWorldSummit2025
#NDTVWorldSummit | "AI is a big departure from traditional AI systems" : Neil Thompson (@ProfNeilT), Director, FutureTech Research Project, MIT’s Computer Science and Artificial Intelligence Lab
#NDTVWorldSummit2025
#NDTVWorldSummit | What is AI's garden arranging path? Neil Thompson (@ProfNeilT), Director, FutureTech Research Project, MIT’s Computer Science and Artificial Intelligence Lab explains
#NDTVWorldSummit2025
#NDTVWorldSummit | Neil Thompson (@ProfNeilT), Director, FutureTech Research Project, MIT’s Computer Science and Artificial Intelligence Lab shares his views with Union Minister Ashwini Vaishnaw (@AshwiniVaishnaw) on India’s technology adoption and AI progress
@rahulkanwal@VishnuNDTV #NDTVWorldSummit2025
#NDTVWorldSummit | "The most important part is scaling up, and the second most important part has been algorithm improvement" : Neil Thompson (@ProfNeilT), Director, FutureTech Research Project, MIT’s Computer Science and Artificial Intelligence Lab
@ShivAroor #NDTVWorldSummit2025
#NDTVWorldSummit2025 | "Smarter AI systems can more easily bypass controls. AI's lack of capabilities has prevented us from having too much chaos. But these capabilities are improving rapidly": Neil Thompson, Director, FutureTech Research Project, MIT’s Computer Science and Artificial Intelligence Lab @ProfNeilT