Stanford AI Index: the gap between AI experts and society continues to widen

Stanford has released its latest annual AI Index — one of the most authoritative reports on the state of artificial intelligence in the world. The main conclusion of 2026: the gap between those who create AI and those who live with its consequences is growing deeper — and it is no longer background noise, but a central problem for the entire industry. The report captures a characteristic paradox of our time.

Specialists — researchers, engineers, leaders of technology companies — are generally cautiously optimistic. They see real progress, understand the limitations of the technology, and, as a rule, believe that risks are manageable. The general public looks at the same technology quite differently.

Anxiety about AI among ordinary people continues to grow — and this is particularly noticeable in three key areas: employment, healthcare, and the state of the economy as a whole. These three topics have become the main points of public tension. Fear of losing a job due to automation remains persistent and does not decrease, despite assurances from experts that AI will create new professions faster than it destroys old ones.

The penetration of AI into medicine raises a separate question: can you trust a diagnosis made by an algorithm? People worry about the confidentiality of medical data and the right to human control over critical decisions. In economics, anxiety takes the form of distrust in the distribution of benefits: who will reap the fruits of the productivity growth that AI promises — corporations and shareholders, or a broad circle of workers?

Stanford AI Index has been released annually since 2017 and accumulates data from dozens of sources: academic publications, volumes of private investment, patent activity, government regulatory decisions, and public opinion surveys around the world. It is a methodologically multifaceted document, not advocacy for or against AI. This is precisely why its conclusions are significant: when Stanford says the gap in perception is growing, it is not journalism — it is data.

For the AI industry, the figures mean an uncomfortable diagnosis. The public does not share the enthusiasm with which companies present their products. The technological optimism of insiders exists in its own bubble, which barely intersects with the everyday reality of the majority.

Neither corporate press releases nor bright presentations at conferences translate into public trust — on the contrary, the gap between rhetoric and people's feelings apparently is only increasing. For politicians and regulators — a signal of a different kind. The gap in perception is not shrinking, which means that neither educational campaigns nor public discussions around AI have achieved their goal yet.

People do not feel like participants in a major technological transition — they feel like objects of other people's decisions, which are made without their participation and sometimes against their interests. It is significant that anxiety is rising precisely when AI systems have become truly mass market. Chatbots, AI assistants, and automated tools have entered the daily lives of hundreds of millions of people.

But widespread adoption has not led to widespread acceptance. Quite the opposite: the more people encounter AI in specific situations — in hiring, in treatment, in obtaining credit, in content moderation — the more acute the questions about fairness, transparency, and accountability become. The gap between insiders and everyone else is not just a sociological fact.

It is a warning. The history of technological revolutions shows: when public dissatisfaction reaches critical mass, the reaction turns out to be disproportionate and unpredictable. Strict regulatory restrictions, political moratoriums, panic-driven decisions — all of this are real scenarios.

Stanford captures a moment when the industry still has room for maneuver. The question is whether it will use it.