Digital Disruption
Matrix 2026

In barely a year, Agentic and Generative AI has won an argument no other technology in the matrix has matched. Across all ten industries, almost no one doubts AI will affect their work, and the conviction holds from the newest careers to those past twenty-five years.

But unanimous belief is not a blanket green light. Where AI actually bites differs sharply by sector, visible in the use cases professionals themselves rank highest. Everyone agrees AI is coming; far fewer have worked out where it pays off. The advantage has moved from believing in AI to placing it well.

The United States is committed to leading Agentic and Generative AI, and on the numbers it is far ahead. It retook the top spot in academic research, even as China accelerated and narrowed the gap. Research is the only contest that stays close. In companies and capital, there is no rival: the US holds about 77.8% of the world's Agentic and Generative AI and 73% of the related patents applicants are from American companies.

That concentration gives the US ownership of the technology the rest of the world is counting on. In our survey, nearly every professional, in every industry, expects Agentic and Generative AI to reshape their work, yet almost none of it is built, funded or controlled where they are. Such dependence carries strategic, commercial and geopolitical weight, and explains why Europe increasingly frames AI as a question of sovereignty.

Robotics and Physical AI is unlike other technologies in China's portfolio: China's share of global unicorns in this field matches its share of the world's research, both near 38%, the signature of a deliberate strategy: not just to lead the science, but to convert it into companies that compete worldwide.

But robots are the visible half of Physical AI. The other half is the intelligence that runs them. As AI moves off the screen and into machines, Descriptive AI, the layer that makes sense of the world from data, will have to handle a far more complex, physical reality. China leads that academic research too, ahead of both the United States and Europe. A country building the machines and leading the science they will run on is positioning itself for the moment the two converge.

Two forces pull in opposite directions. Founders are leaving the field: Blockchain is the only technology in the matrix where startup formation is falling, down nearly 40% in three years, with patent growth essentially flat. At the same time, the incumbents are arriving. Wells Fargo, outside the top tier of Blockchain patent filers in 2020, is now the world's second-largest; the share of major banks among the leading filers is rising.

The capital did not leave however, concentrating in finance and IT. Built to bypass banks, Blockchain is being absorbed as their settlement layer, behind stablecoins and tokenized deposits.

Quantum earns the most skeptical verdict of any technology in the matrix: nine in ten surveyed professionals expect its impact only years away, or never. Yet every hard indicator points the opposite way. Academic publications have more than tripled since 2020, so have patents, and new company formation jumped 88% in a single year.

The base is still small, but small and compounding fast is exactly how every major technology began. The gap between what professionals expect and what the field is doing is the widest in the matrix.

Quantum is the one technology in the matrix where Europe leads the world in academic research. The EU, UK and Switzerland together account for about 30% of global Quantum publications, ahead of both the United States and China. In no other frontier technology does Europe sit in first place.

This lead runs against the prevailing mood: like the rest of the world, professionals in Europe rank Quantum the furthest off of any technology. Europe's best scientific position is therefore its least believed, a frontier where it leads the world, in the field its own market is most inclined to dismiss.

The strategic question is whether Europe funds and commercialises this lead while the field is still early, or repeats the pattern seen across the matrix, where its science migrates abroad to become someone else's companies.