Doing the most responsible thing an European AI labs can do after this weekend: shipping a blogpost. Why the EU can't into AI, how it's not about compute, but actual skill issue and failing for years to build an actual training ecosystem. https://pleias.ai/blog/fable-eu
Pleias co-founder Pierre-Carl Langlais argues Europe’s AI struggles stem from training skill shortages rather than a lack of compute
Story Overview
Recent US export controls that cut European access to the latest Claude models have thrown a harsh light on the continent's deeper shortfall: years of assuming frontier progress could be imported while skipping the grind of building internal training know-how.
Why one-off projects keep falling short
Continuous training skills like sparse MoE tuning, RL post-training loops, and models-that-train-models decay fast without daily practice, yet EU efforts have mostly funded fixed-term grants and policy papers instead of dense lab ecosystems.
The real bottleneck hiding behind compute talk
Public clusters exist and some distributed-training talent has formed, but private inference-heavy setups and a thin market for data and buyers leave expertise as the scarce resource no budget line has yet fixed.
Positive users praise analyses blaming EU AI lag on skill gaps and culture rather than compute, while negative users dismiss Europe as beyond recovery or fixated on irrelevant issues.
Most Activity
We especially intended to correct a major misconception: we don't have the expertise anymore. European research is fast outdated, and cannot get up to date to recent model research (let alone frontier). And worst, at decision-making level, we don't know we don't know.
Doing the most responsible thing an European AI labs can do after this weekend: shipping a blogpost. Why the EU can't into AI, how it's not about compute, but actual skill issue and failing for years to build an actual training ecosystem. https://pleias.ai/blog/fable-eu
I have almost nothing to add. Good, sober, unflinching post.
Doing the most responsible thing an European AI labs can do after this weekend: shipping a blogpost. Why the EU can't into AI, how it's not about compute, but actual skill issue and failing for years to build an actual training ecosystem. https://pleias.ai/blog/fable-eu
Applies equally for Canada, well written
Doing the most responsible thing an European AI labs can do after this weekend: shipping a blogpost. Why the EU can't into AI, how it's not about compute, but actual skill issue and failing for years to build an actual training ecosystem. https://pleias.ai/blog/fable-eu
The United States has sucked Europe dry of all the research talent, and for good reason too
We especially intended to correct a major misconception: we don't have the expertise anymore. European research is fast outdated, and cannot get up to date to recent model research (let alone frontier). And worst, at decision-making level, we don't know we don't know.
What can be done? A leapfrog? Maybe but not in any direction. As auto-research is heating up, frontier models (which the EU can't access) are bound to take the lead in architecture experiments. The harder but more promising path might instead be to target open-endedness itself…
We especially intended to correct a major misconception: we don't have the expertise anymore. European research is fast outdated, and cannot get up to date to recent model research (let alone frontier). And worst, at decision-making level, we don't know we don't know.

My intuition says that we are all generally under indexing on young talent and giving them the freedom to cook
The reason is money. Absolutely absurd amounts of money
The United States has sucked Europe dry of all the research talent, and for good reason too

@yacineMTB Europe has guillaume lample, I believe in him

"quietly" ffs

@Dorialexander Great root cause analysis as usual

@Dorialexander It's seriously such a beyond cooked continent man

@Dorialexander Excellent. Let's hope some key people will read it.

@Dorialexander there is more than one group of people being misinformed in one direction though.

@Dorialexander Great article, but would add one point: >Start with the labs P0 is compute. It should be done today, like literally on Monday 6/15/26, and it can be done today it's safest bet for any big capital allocation (worst case, rent to US labs if all fizzles, and recuperate money).

@yacineMTB At this point, its a race for Europe/Canada to escape Vinge’s slow zone

@Dorialexander

@yacineMTB It's all about money, but Europeans consider this taboo and instead prefer to blather on about "muh health care premiums" as if that matters when you're pulling 400-600k TC. They will never wake up.

@Dorialexander

very good post; probably you should highlight that it is a SKILL AND CULTURE ISSUE and throwing more money at it won't help

@yacineMTB EU might release a pandemic