~/talk

Making Europe Exponential

on YouTube 27m
Talkat DLD Munich 25 · 2025-01-16..01-18· [large-language-models, ai-assisted-development]

speakers

name:Tom Hurd
links:none on file
name:Tommy Stadlen
links:none on file
name:Andreas Klinger
links:none on file
name:Azeem Azhar
links:none on file

resources

video:https://youtu.be/D1swRqKIlWA
slides:none on file

summary

Data shows top 300,000 AI innovators mapped globally and generative-AI talent concentrated with 65% at Google/DeepMind, while Europe holds roughly one quarter of that pool and about four times less than the US in LLM specialists. Nvidia hires three times more people into world‑model roles than into generative-LLM work. PhD mobility is high (51% working outside their training country, 18–24 month tenures), hiring delays of 2–3 months and six‑month severance rules slow scale-up — concrete bottlenecks to address.

AI-written summary · about

chapters (14)

  1. 0:00Europe’s AI talent challenge
  2. 3:09Generative AI talent in the US
  3. 5:14Europe’s AI skills edge
  4. 7:04Panelists and roles
  5. 8:32Europe’s innovation potential
  6. 9:33Regulation vs fragmentation
  7. 11:19Employment laws hinder startups
  8. 13:44Fix labor laws for growth
  9. 15:49Europe’s capital and talent
  10. 17:12Breaking structural barriers
  11. 19:57Company formation and investment
  12. 21:43Trump’s impact on AI talent
  13. 23:52Europe’s economic shifts response
  14. 24:57Three steps for Europe’s future

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