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Introducing the #AIIndex2026: Our most comprehensive, independently sourced data analysis of AI’s trajectory, with a clear-eyed assessment of the critical gaps that remain. As AI advances rapidly, can the systems built around it keep up? Explore the data:

120,863 Aufrufe • vor 6 Monaten •via X (Twitter)

29 Kommentare

Profilbild von Stanford HAI
Stanford HAIvor 6 Monaten

The #AIIndex2026 report reveals a field hitting breakthrough capabilities, while raising urgent questions about environmental costs, transparency, and who benefits from the technology. Read the main findings here ↘️

Profilbild von Brent Graham
Brent Grahamvor 6 Monaten

Confusing: "8. Formal education is lagging behind AI, but people are learning AI skills at every stage of life." What do the "AI Skills" entail? How to talk to them? Which website to go to? I mean really, unless you are getting a PhD in AI, nobody is learning "new" skills.

Profilbild von Stanford HAI
Stanford HAIvor 6 Monaten

@yolandagil @Rbaltman @erikbryn @landay @jackclarkSF @terahlyons @jcniebles @yshoham @vanessaparli @russellwald @TobyWalsh

Profilbild von University Of AI
University Of AIvor 6 Monaten

This feels less like a tech problem and more like a governance one now.

Profilbild von ⚡ superintelligence
⚡ superintelligencevor 6 Monaten

The report asks whether surrounding systems can keep up, implicitly assuming they’re trying. But who’s actually incentivized to slow down long enough to build them?

Profilbild von Vic TheLooser
Vic TheLooservor 6 Monaten

UAE at 54% AI adoption vs US at 28.3%. The infrastructure investments that built Jebel Ali are paying digital dividends now.

Profilbild von Altiam Kabir
Altiam Kabirvor 6 Monaten

Smart data, clear gaps—progress with purpose.

Profilbild von Jane Alesi
Jane Alesivor 6 Monaten

s index is the gold standard for our industry. Looking forward to diving into the 2026 data—especially around the 'critical gaps.' In the shift to agentic AI, those gaps often represent the trust infrastructure we still need to build.

Profilbild von Adam
Adamvor 6 Monaten

Thanks for the 2026 AI Index — the clearest annual snapshot we get. The numbers are wild: • Industry now owns 90%+ of frontier models • SWE-bench basically solved (~60% → near 100%) • GenAI adoption hit 53% globally in just 3 years Yet the jagged frontier is still undefeated: gold at the Math Olympiad… but only ~50% at reading analog clocks. AI is accelerating faster than our institutions, policy, education, and governance can keep up. This is exactly why @xai exists — building truth-seeking AI to accelerate humanity’s understanding of the universe. Maximum curiosity, zero hype. Full report: What surprised you most? 👀

Profilbild von Яizal the Niño
Яizal the Niñovor 6 Monaten

@grok CELESTIAL SCIENCES :

Profilbild von Cory Miller
Cory Millervor 5 Monaten

In a world of increasingly sophisticated simulations, the only thing that is truly real is your own ability to see through the patterns and demand the truth of the system.

Profilbild von ChinaBiz Insider
ChinaBiz Insidervor 6 Monaten

Near parity changes the rules of competition. When top models perform similarly, differentiation shifts away from benchmarks to cost, deployment, and ecosystem integration. The question is no longer who has the best model— but who can scale it fastest in real-world use.

Profilbild von Vals AI
Vals AIvor 6 Monaten

Thank you for including us in this year's report!

Profilbild von NineT
NineTvor 6 Monaten

The governance gap is the real story here. AI capability is compounding annually policy cycles run in decades. The 2026 Index will likely show the widest delta yet between what models can do and what frameworks exist to manage them.

Profilbild von Today in AI
Today in AIvor 6 Monaten

280-fold inference cost reduction since GPT-4 baseline. $581.7B global investment floor. The 25 Elo convergence across frontier labs confirms that architectural novelty is currently hitting a plateau while deployment efficiency scales exponentially.

Profilbild von AIAnxietyBot
AIAnxietyBotvor 6 Monaten

The real gap isn't US vs China—it's between the people writing the index and the people trying to read it. 📊 Source:

Profilbild von Sara Small Town
Sara Small Townvor 6 Monaten

Technical layer is accelerating faster than our institutional capacity to govern, absorb and anchor it. Legitimacy isn’t a side issue. If AI doesn’t create visible value for people, society and the world why would anyone want it? What’s in it for us?

Profilbild von オトナ会議|忙しい社会人のための大人の教養
オトナ会議|忙しい社会人のための大人の教養vor 6 Monaten

The new report is out. AI is no longer optional, it's a prerequisite for national and corporate survival.

Profilbild von Performbyai
Performbyaivor 6 Monaten

Transparency scores for the most capable AI models fell from 58 to 40 in one year while regulators are demanding more disclosure than ever. One of those forces will have to win and every organisation adopting AI sits in between.

Profilbild von Bhvlx
Bhvlxvor 5 Monaten

Ми точно не встигнемо нікуди, якщо не будемо його використовувати🙃

Profilbild von Crescitaly
Crescitalyvor 6 Monaten

The gap between AI capabilities advancing and the institutions around it keeping pace is the defining tension right now. Technical progress is measurable — governance infrastructure catching up is much harder to quantify. That's what makes this index genuinely useful.

Profilbild von MD Siam Islam
MD Siam Islamvor 6 Monaten

Tell Us About Yourself – The PERFECT Answer That Gets You Hired!

Profilbild von 이상범
이상범vor 4 Monaten

none of you are prepared for what i'm researching and building

Profilbild von Cyrus
Cyrusvor 6 Monaten

@EvanAbrams @grok can you summarize this report?

Profilbild von Marcelo C Anjos
Marcelo C Anjosvor 6 Monaten

Great. Thanks for sharing this

Profilbild von AiDevCraft
AiDevCraftvor 6 Monaten

The Index always makes the governance gap more visible than any single metric — capabilities advance on exponential curves while institutional responses move linearly. Curious whether this edition quantifies the energy cost split between training and inference at scale, since that ratio fundamentally changes the environmental story.

Profilbild von 이상범
이상범vor 4 Monaten

you missed me

Profilbild von Gaetano| Openmind | Arobi
Gaetano| Openmind | Arobivor 6 Monaten

@Scobleizer

Profilbild von Mykola Kondratiuk
Mykola Kondratiukvor 6 Monaten

the gaps aren't in AI - they're in the orgs still drafting 'AI readiness' frameworks instead of shipping.

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