Everyone's plan for controlling AI costs was to fall back on cheap Chinese open models, and Beijing is now considering closing that door. Meanwhile the hard data on AI and jobs arrived, and it points the opposite way from the doom stories.
The most capable AI model is available again after nearly three weeks offline, but the episode changed the rules: Washington now decides who gets frontier AI and when. Smart businesses are responding by testing cheaper alternatives and putting a leader clearly in charge of AI.
The defining lesson this week was about dependence. A leading model was switched off by a government order, and the smart response is to build so you can swap models or even run your own. Around that, the fight over data centers heated up while the facts told a calmer story, and AI crossed a line in cybersecurity that makes it a leadership issue.
The big story this week was the US government forcing the most capable AI models offline with almost no warning, which turned a cost conversation into an access conversation. The practical response taking shape is the same one that pays off anyway: spread your bets across models, lean on cheaper options, and build systems that keep your company's knowledge yours.
The big event was the launch of a model that is a real step up, not a small one, and that changes what you can hand off to AI. Underneath it, the way the most effective people work with these tools is shifting fast, and the cost of using them is becoming a real budget line.
This week was about money. The free phase of AI is over, so companies are now putting hard limits on how much their staff can spend, and the vendors are reorganizing around making AI cheaper. At the same time the biggest labs are racing toward the stock market, and politicians are starting to ask who should share in the winnings.
The annual 'AI is cooling off' story is back, but the numbers underneath point the other way. Meanwhile the leading labs are suddenly profitable and racing to go public, and there is a clear, actionable way for leaders to actually get value out of all this.
The era of heavily subsidized AI usage is ending, and prices are about to get real. Google showed off a sprawl of new products without much clarity. And the way knowledge work actually gets done is quietly changing underneath all of it.
An unexpected compute partnership reshapes the race. Anthropic ships features that make agents far more usable. And Google joins OpenAI and Anthropic in launching a major consulting initiative.
Big Tech earnings reveal an AI economy operating at maximum capacity. Anthropic's deal with Google is bigger than anyone realized. And the dominant 'job apocalypse' narrative is getting a serious challenge.
OpenAI takes the image-gen crown. Anthropic's Opus 4.7 lands with vision improvements. And new research shows the top 20% of companies are capturing 75% of AI's economic gains.
A disturbing week for the AI industry's public profile. Multiple attacks on Altman's home spark a real conversation about rhetoric and responsibility. And the agentic 'harness' is becoming the strategic battleground.
The full Mythos announcement lands with a deliberate non-release. Anthropic raises prices on third-party tool usage. And their ARR triples in just one quarter.
A deep dive on Agent Skills — the reusable instructions that make AI agents actually useful. Worth reading if you're trying to get past one-off prompts.
A draft blog post reveals a new Anthropic model tier. Vertical AI products start beating frontier models on their home turf. And political pressure on AI ramps up.
OpenAI refocuses on coding and 'Work AGI.' Anthropic publishes the largest user study of an AI product to date. And major companies start restructuring around AI.
Anthropic, Perplexity, Manus, and others all launch desktop agent products. Stripe and Ramp issue cards designed for AI agents. And ServiceNow's CEO raises a stark workforce warning.
OpenAI's new flagship beats human experts on professional tasks. ARR numbers for OpenAI and Anthropic both leak. And NVIDIA launches its own enterprise agent platform.
A major government-vs-AI-company standoff plays out in public. Jack Dorsey cuts 40% of Block's workforce. And experiments with fully autonomous AI companies start showing real revenue.
Wall Street starts to seriously question SaaS business models, autonomous agents go mainstream, and an OpenClaw agent social network exhibits some genuinely strange behaviour.
Top AI lab leaders shared shorter timelines at Davos, two giant IPOs are now in motion, and a new survey shows enterprise AI strategy has officially moved into the boardroom.
Apple confirms Gemini will power the new Siri. AI shopping agents move from demo to default. And the data-pipeline implications of Stack Overflow's decline are starting to bite.