International students made up more than 40% of the 500k doctoral degrees awarded by U.S. universities between 2000 and 2019. And stay rates for foreign STEM PhDs are high — over 70% remain in the U.S.
@jasonrileywsj cited a 2022 CSET report in his new piece for @WSJopinion.
The White House just paused ALL visa interviews for foreign students.
A disaster for longterm US competitiveness in emerging techs.
Five months in, and the damage is adding up. A detailed account of the disruptions to US science, by month. 🧵
/40
Competition is critical for AI innovation, but the sector seems destined to consolidate over time.
A new report from @_jackcorrigan explores the risks of a concentrated AI market and what U.S. policymakers can do about it 👇
https://t.co/JAPunidLOk
If the U.S. wants an AI sector that’s innovative, competitive, and resilient, policymakers can’t leave it to incumbent tech companies.
@_jackcorrigan explains why competition policy must be part of the U.S. AI strategy ⬇️ https://t.co/JAPunidLOk
Our new report from CSET’s @_jackcorrigan shows how policymakers can keep the U.S. AI ecosystem open, dynamic, and resilient — before it’s too late.
Explore it here ⤵️ https://t.co/JAPunidLOk
Why does using Huawei's Ascend 910 chip violate U.S. export controls?
Think of it as a "secondary violation.” Here's how it works.
🧵👇(1/5)
https://t.co/DX2uYBDqul
6/ The stakes here are high—whether the future of the sector will be locked down by yesterday’s tech giants or opened up to tomorrow’s innovators will depend on the decisions that policymakers make today
Check out the report here: https://t.co/bYcVA0LaC7
In my latest (and last) report from @CSETGeorgetown, I explore how the US AI industry is consolidating around a handful of powerful tech companies—and the ways that monopolization could undermine innovation and national security
🧵
https://t.co/bYcVA0LaC7
5/ Policymakers can stop this consolidation by fostering a more competitive + diversified AI sector
This could entail robust antitrust enforcement, reducing lock-in among CSPs, limiting self-preferencing + bundling, and funding R&D for small models + novel AI paradigms
✨New Report✨
Competition is critical for driving innovation in AI, but a new report from CSET’s @_jackcorrigan explores how today’s AI industry may become more concentrated over time—and what policymakers can do to stop it.
Read the full report here⬇️ https://t.co/JAPunidLOk
Have you heard of the Bayh-Dole Act? It's niche, but an incredibly important factor in the U.S. innovation ecosystem!
For the @TheNatlInterest, @_jackcorrigan and I discuss a potential change that could benefit public access to medical drugs.
https://t.co/hH7vBB3A5j
5/ Bottom line: If we want federally funded R&D to actually benefit the public, we can't ignore the prices Americans pay for breakthroughs they helped finance.
Check out the full piece here: https://t.co/KD40v3UoL4
4/ Without march-in rights, we lose a key mechanism for keeping corporate power in check, potentially leaving taxpayers paying twice for government-funded inventions—once to fund the research, again through inflated prices.
https://t.co/KD40v3TQVw
3/ Policymakers had recently been trying to make better use of this tool, but the Trump administration now seems poised to abandon those efforts. We think that's a huge mistake
https://t.co/KD40v3TQVw
Excited to share a new piece @VikramVenkatram and I published today in @TheNatlInterest . I'll warn you, this one's for the nerds.
We dive deep into "march-in rights," a wonky but critical legal tool you've probably never heard of 🧵
https://t.co/KD40v3TQVw
2/ "March-in rights" allow the government to step in if companies make inventions—developed with public money—too costly or out of reach. They can be a crucial safeguard against corporate price gouging.
https://t.co/KD40v3TQVw