January in AI is your insider briefing on the most important stories from the last month, what actually happened, and why it matters for real work, real decisions, and real systems.This episode covers the push to get AI out of laptops and into the physical world, including Nvidia’s new platform for autonomous vehicles and the broader “physical AI” vision behind it. We also look at what it means for London (and Europe more broadly) as robotaxis move closer to reality on roads that are dense, irregular, and far less car-centric than most US cities.On the healthcare front, ChatGPT and Claude both launched new health offerings. I break down what these tools claim to do, why people will use them, and the two hard questions underneath: data incentives and reliability. Alongside that, we look at Stanford’s SleepFM research and what it suggests about predicting disease risk from a single night of sleep, plus the practical questions that it raises.Then we move to jobs and skills: global AI adoption is rising but uneven; McKinsey is testing “AI-assisted thinking” in graduate hiring; and entry-level roles are getting harder to access for a mix of reasons, not just AI. We also cover the counter-argument: demographic decline as a long-term force that changes the labour market math.Finally: synthetic media ownership (including trademarking likeness), AI-generated music with consent, policing and AI hallucinations, software stocks reacting to AI coding tools, Anthropic publishing Claude’s constitution, warnings about a dangerous phase of AI capability, ChatGPT citing AI-generated “encyclopaedias,” and the arrival of ads inside ChatGPT.If you want monthly sense-making like this, subscribe. And tell me in the comments which story matters most for your work.Read the article: (coming soon)

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.thehumansintheloop.ai