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AI agents could become a new front door to the internet. Their impact will depend on reliable execution, access to services and whose interests they serve.
Evidence through 23 October 2026. Adoption measures have different populations; the future paths are conditional scenarios, not forecasts.
An agent chooses from the market it can see, using the evidence and customer context available to it. Your advantage needs to remain visible through that process. Even then, being the recommended brand may not make you the chosen seller.
Documented product behaviour and bounded experiments, interpreted by Atlas. No universal ranking formula or guaranteed route to selection.
Yes—AI can help discover new knowledge. The strongest cases connect generated ideas to checks outside the model: executable rules, experiments and measurements. Novelty and correctness both need evidence.
Concrete research cases, with different kinds of evidence. No claim that AI can autonomously solve science as a whole.
In the older models studied, fitting information into the context did not guarantee that it would be used reliably.
A study of older models answering questions from documents — not a test of today’s chat products or personal long-term memory.