In week 46 of Future Bytes AI News for business, Magnus Oxenwaldt looks at the moment the AI bill arrived. From December, OpenAI will measure what Plus, Pro and Business customers use in ChatGPT and in Codex, its coding agent, against one shared allowance of tokens. In the same week Bloomberg reported that Apple lowered the daily AI spending cap for some of its engineers from 300 dollars to 200, and Goldman Sachs took advanced coding tools away from most of its staff outside engineering. Revolut found another way: an open model on its own hardware is now the default coding assistant for about 2,000 engineers, and its coding inference bill fell by roughly 90 percent. AI is starting to look like cloud computing, where the bill depends on use.
The second story is the price of an attack. An automated OpenAI pipeline produced 948 working Linux exploits for about 1.2 million dollars in computing, roughly 1,300 dollars each, and OpenAI says the fixes are going to the Linux maintainers. A day later it released GPT-6 Cyber, available only to approved defenders. Attackers are not waiting: the security firm Censys found more than 1,400 servers running ARTEX, a free AI agent that attacks systems on its own, and CrowdStrike announced an AI Kill Switch to stop a misbehaving agent.
For business leaders, the takeaway is practical. Give each team an AI budget and a named owner, decide who builds with agents and who only chats with them, and keep a cheaper or self-hosted option ready for high-volume work. When a working exploit costs about the price of a laptop, a patch window measured in weeks is a business risk, so set a patch deadline and an off switch for everything you run. The episode ends with four questions for your next AI roadmap.