Sunday, 13 September 2026Global technology intelligence

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Signals

◆AI agents are moving from chat interfaces into enterprise workflows.◆Open-source AI models are becoming strategic infrastructure.◆Power availability may become a constraint on AI infrastructure.◆Physical AI is moving from laboratories into commercial environments.◆Every deployed agent is a new identity with credentials.◆Inference, not training, is becoming the dominant compute story.◆Software engineering is the proving ground for every other kind of agentic work.◆Seat-based software pricing is under structural pressure.◆AI agents are moving from chat interfaces into enterprise workflows.◆Open-source AI models are becoming strategic infrastructure.◆Power availability may become a constraint on AI infrastructure.◆Physical AI is moving from laboratories into commercial environments.◆Every deployed agent is a new identity with credentials.◆Inference, not training, is becoming the dominant compute story.◆Software engineering is the proving ground for every other kind of agentic work.◆Seat-based software pricing is under structural pressure.

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Results for “models”

5 results

article7 Sept
Small Reasoning Models Are the Quiet Revolution
Reasoning capability is being distilled into models that run on cheap hardware and inside private walls. That changes the economics of who gets serious AI.
article8 Sept
Open-Weight Models Are Becoming Strategic Infrastructure
What began as a research norm is now a matter of procurement, sovereignty and industrial policy.
article11 Sept
Physical AI Leaves the Lab
Foundation models have given robots general perception. The next test is not a demo video but a cost per task.
article5 Sept
The Inference Economy
Training built the AI industry's first chapter. Serving models continuously to agents and users is writing the second.
article6 Sept
The AI-First Company
Small teams are reaching milestones that once required hundreds of people. Incumbents are being measured against them.