Every argument in this book about whether the dystopias are coming true rests, sooner or later, on a claim about what AI systems can do. Such claims are often made loosely: a launch promises expert reasoning, a newspaper reports that an agent hacked a company, a sceptic replies that the same systems still make elementary mistakes. A board, a council or a risk function needs a more careful picture: what has been demonstrated, under what conditions, how reliably and at what cost.
This chapter draws that picture as it stands in November 2026 and asks what it means for T5 The intelligence explosion, the machine that improves itself beyond human control; Chapter 27 delivers the verdict. Its main contribution is a way of sorting claims that the rest of the book uses. Some are demonstrated: a behaviour has been observed and documented. Some are measured trends: a quantity has been tracked over time and moves consistently. Some are extrapolations: a trend projected past the range in which it was measured. The three call for different responses, and confusing them is one of the commonest errors in the public debate.
Table 5.1: Capability claims by kind of evidence.
Primary topics explored
- From language models to agents
- Scaling and its limits
- The length of tasks
- Frontier capability in one domain: cyber
- Predictable failure
- Cost, energy and the physical limits
About AI Threat
AI Threat is Book 5 of The Transformed Architecture. It investigates whether the dystopias of science fiction, with AI as the threat, are coming true. It covers every scale of the threat, from the human mind and society to misuse, machines beyond control and the end of the world, stages every debate constructively, and turns the verdict into what individuals, European enterprises and public authorities can do.
It builds on the conclusions of Architecture as Code, AI Governance, AI Platform and Security and AI Red Team.
Boards, chief risk officers, CISOs, AI governance leads, architects and public-sector leaders.
Continue with the full chapter
Chapter 5: What AI Can and Cannot Do in 2026 in AI Threat gives the detailed explanations, practical examples and implementation patterns behind this summary.
This whitepaper belongs to “The Question” and is one of 39 drawn from the manuscript.