The AI Nobody Approved Is Already in the Building
Employees adopted assistants on personal accounts long before any committee finished a review. Banning it moves the usage somewhere with no logging at all.
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Top stories in AI
The Model Was Never the Bottleneck. The Data Was
Deployments stall on the unglamorous discovery that the organisation cannot say what its own records mean. The model is fine. The inputs were never assembled for this.
The AI Answered. The Customer Called Anyway
Automated support handles more contacts than ever and the phones have not gone quiet. The gap between the two numbers is where the cost went.
Synthetic Data Stops Being a Workaround
Generated training data started as a substitute for records nobody could license. It is now chosen deliberately, for reasons that have less to do with scarcity than with control.
AI Takes the Entry-Level Work That Used to Train Everyone
The work most exposed to automation is concentrated at the bottom of the org chart, which is also where the profession's training happened. Firms are removing the rung without deciding what replaces it.
AI Agents Need Credentials. Nobody Wants to Sign for Them
Software that acts on a company's behalf has to log in somewhere. The identity systems it logs into were designed around a person who can be fired, and the gap between those two facts is now a live governance problem.
Everyone Diversified Their Model Suppliers. Almost Nobody Diversified the Layer Underneath
Enterprises spent a year making sure they could switch between model providers. The switch turns out to run through a small number of clouds, chips and inference platforms that no procurement policy addressed.
Inference Costs Move From Footnote to Line Item
Training got the headlines and the capital budget. The recurring cost of running models in production is what finance departments are now trying to forecast, mostly badly.
AI Agents Take Over the Back Office, Quietly
The most consequential AI deployments of the year are not chatbots. They are agents reconciling invoices, chasing documents and closing tickets nobody wanted to touch.
The Training Data Market Grows Up
After years of scraping first and negotiating later, AI developers are building formal licensing pipelines, and content owners are learning what their archives are worth.
Companies Cannot Tell Whether Their AI Works
Deployment has run well ahead of measurement. A striking number of production systems have no defensible answer to whether they are performing better than what they replaced.
Small Businesses Find New Uses for Generative AI
Away from enterprise pilots and keynote demos, small firms are putting generative tools to work on the least glamorous parts of operating a business.
Corporate Buyers Push for Standard Terms in AI Model Contracts
Procurement departments, tired of negotiating novel terms for every AI vendor, are converging on shared contract language for data handling, evaluation and exit.
Small Models, Big Deployments
The frontier gets the headlines, but the volume is moving to compact models that run cheaply, privately and close to the work.
Model Deprecation Becomes an Enterprise Risk
Companies built production systems on models that vendors retire on their own schedule. The resulting migrations are unplanned, unbudgeted and increasingly frequent.