How artificial intelligence is reshaping healthcare, longevity and the businesses built around them; analysis and provocations from Bart Collet.
AI is moving from demo to deployment, and most of what you read about it is either hype or fear. This is the middle path: clear analysis of how artificial intelligence actually changes healthcare, longevity and the businesses around them, written from thirty years of building in the trenches.
47 articles
Clinical AI may improve performance while quietly weakening the unaided judgement needed when the model fails. This edition separates measured deskilling from the still-precautionary risk of never-skilling, then proposes aviation-style proficiency checks for medicine.
On Tuesday Sheba Medical Center became the first hospital outside the US to rent OpenAI's clinical models, feeding its own protocols into the landlord's asset; the same weekend, 50 companies signed Jensen Huang's letter declaring open weights 'enable sovereignty'. The edition reads the two bets together: why residency is not sovereignty, the buyer-side receipts piling up in Europe, and the two-model test that tells a board which camp its hospital is in.
A patient said no to an AI scribe and the doctor had never heard it before. With 40% of UK GPs already using ambient scribes and Healthwatch England finding 81% of patients want to be asked first, this edition argues consent to the infrastructure of treatment was never designed. The GOSH trial's 92% consent rate shows the ask is the fix, not the obstacle.
Satya Nadella's June 2026 essay and Banco Santander open-sourcing its AI-governance toolkit make the same counterintuitive case: when models commoditise and get swapped every few months, the durable moat is the learning loop your people and tools keep teaching each other, and openness is how you spin it faster. The piece argues healthcare should open its tooling to the front line while keeping verification and clinical judgement firmly in-house.
In one month, Visa, Mastercard, Robinhood and Coinbase all shipped rails that let an AI agent spend, trade and settle money with no human present. Finance spent thirty years proving a human was there at payment, and just pivoted to proving a robot is authorised. Healthcare faces the identical pattern, and should demand a written mandate before handing any agent the wallet.
Healthcare spent three decades hiring careful peacetime operators right as the market switched to wartime, where AI-native insurgents run on tiny headcounts. The wartime hire, inventive, fast and allergic to process, is exactly the profile a consensus-built recruitment funnel screens out. The real question: can an incumbent reshape its workforce faster than an insurgent can displace it?
When AI can predict heart failure five years out and pancreatic cancer three years early, a new social category emerges: the pre-diagnosed patient. Who gains and who loses when early-detection data collides with insurance, employment, and personal identity, and who owns the verdict?
Five patients who walked their own path to a diagnosis, a second opinion, or a treatment the system missed. Against Gallup's 1-in-4 figure and a three-month Big Tech health-AI launch window, the self-navigator is no longer an exception, she has infrastructure.
DoorDash pays gig workers to film themselves training AI replacements. Healthcare clinicians do the same thing invisibly every day. As a hospital CEO calls for replacing radiologists, BCG data shows AI will reshape 50-55% of jobs, not eliminate them. The real question is who controls the reshaping.
Healthcare has the most to gain from AI and the most to lose from sharing the data that feeds it. Google's TurboQuant algorithm and a wave of on-device wearables are breaking the privacy-vs-capability tradeoff, moving intelligence to the edge where patient data never has to leave the building.
You opened the terminal windows to delegate. Two hours later your brain was fried; not from doing the work, but from overseeing it. The conductor problem reframes AI orchestration as a new cognitive job that arrived quietly alongside the tools, with nobody asking whether the human at the centre had the bandwidth for it. The healthcare parallel is uncomfortable: clinicians managing AI-assisted diagnostics face the same position, with higher stakes.
In Q1 2026, ten of the world's largest tech companies launched healthcare AI products within 72 days. Every launch prioritises admin support; not one claims to diagnose. The pattern reveals that the real barrier isn't technology but liability, and the trillion-dollar question is who blinks first on clinical AI.
My AI system went down for thirty seconds. That's when I realised my brain no longer works the same way it did before AI. There's no going back.
A viral AI project changed its name three times in two weeks while people happily handed it access to their entire machines. The adoption patterns are identical to what we see in health tech.
AI-generated praise is eroding critical thinking. Why four words might be the most radical prompt you'll ever write.
Why vibe-coding in healthcare matters. Live demo of building an app in 6 minutes, and what this means for giving agency back to frontline workers.
A 2-hour portal that replaced a 200-page manual. A 4-hour platform that processed 70+ pitch applications. A personal OS running 76 skills. What N=1 software looks like when you count the hours, and what it means for health.
Why companies not experimenting with generative AI have two to three years. A personal story of automation from 25 years ago, applied to today's AI moment.
Hospitals have a valet parking problem. They're forcing patients through the main entrance when AI could offer immediate access, personalised routing, and frictionless care.
As AI handles technical diagnosis, human healthcare professionals transform into premium experience curators. Six words from a healthcare worker reveal where expertise is heading.
When an entire profession protests the very technology designed to save it, something fascinating is happening. I watched nurses demonstrate against AI tools while facing the worst staffing crisis in healthcare history.
We can translate languages in real time and predict viral content with uncanny accuracy, yet tracking the nutrients in our lunch is stuck in the digital stone age. Why this billion-euro opportunity keeps failing, and what conversational intelligence could finally change.
Healthcare is the only industry where convenience still sounds like a foreign concept. This piece asks what happens when patients can navigate healthcare the way they shop at a hardware store, walking in, finding exactly what they need, and checking out seamlessly. The technology already exists.
Ever wondered why you keep hearing the same song on every Spotify playlist? Now imagine that same algorithmic manipulation deciding your medical treatment.
Your electronic health record system is a Nokia, and the iPhone just launched. Why Shopify's approach to AI shows healthcare's transformation opportunity.
I haven't read a 200-page document cover to cover in years; not negligence, but adaptation. The same principles let healthcare build an organisational immune system to navigate the dizzying speed of generative AI, rather than a bigger, more rigid fortress.
OpenAI's HealthBench delivered a stark reality check: AI models now outperform solo physicians. But this isn't a replacement story, it's an evolution story, with three emerging opportunities reshaping how doctors create value as medical experience architects.
The melody might be familiar, but the lyrics have changed. As 58% of young adults swap Google searches for ChatGPT conversations about their health, we're witnessing more than a technological shift: we're seeing the birth of an entirely new healthcare ecosystem.
Healthcare stands at a fascinating crossroads: AI systems now pass medical exams and offer clinical insights that sometimes surpass human understanding. Yet we're still debating transcription tools while missing the bigger picture.
Why Chief AI Officers fail and how forward-looking organisations use agile acceleration squads to rapidly prototype and scale AI solutions in healthcare.
Last night I opened a health-chatbot window in 'incognito' and asked the question I'd never dare voice at the doctor's office. The bot answered, but then came the moment of truth: should I let my GP see this private thread for better care, or keep it off the record and guard my privacy?
Is the AI you're using actually using you? This latest exploration unpacks the subtle shift from creators to "ghost workers," where feedback, not attention, is the new currency.
Imagine the hospital's imaging suite reimagined as a monthly subscription that sits quietly in a spare room at home. Subscription diagnostics could do to healthcare what Netflix did to entertainment, shifting from centralised, high-cost infrastructure to accessible, AI-powered personal health, and rewriting the economics of asset utilisation along the way.
AI-driven digital twins are quietly reshaping medicine, moving doctors from scribes to trusted copilots and, soon, to virtual colleagues who never sleep. The decisive question is no longer whether physicians will be augmented or replicated, but how they will reinvent themselves.
Doctors creating digital twins to offer 24/7 personalised care could revolutionise healthcare delivery. ➡️ But why stop there?
Ever wondered why millions tune in to watch gaming streams but not coding competitions? With generative AI reshaping how we build software, competitive coding might just become your next favourite spectator event.
Ever wondered how AI might quietly streamline everyday tasks, from picking the perfect product deal to managing a hospital appointment? How agent-to-agent communications could redefine marketing, healthcare, and beyond.
What happens when software stops being something we install and becomes something that simply 'appears', adapting to our needs in real time, then dissolving once the task is done? As AI redefines industries, healthcare is next in line.
AI is transforming industries by mastering the "95%"—the predictable, repeatable tasks that once defined many jobs. But what about the final 5%?
How GenAI combines the effects of the printing press, telegraph, electrification, and personal computer in one simultaneous transformation.
LLMs: useless or misunderstood? This piece argues that large language models excel at generating answers but fall short in solving complex, real-world problems: a must-read for tech enthusiasts and sceptics alike.
Explore the fascinating concept of a 1000x Hackathon, where ambitious ideas take shape to solve real-world problems on a massive scale. A thought-provoking read on pushing boundaries and redefining innovation.
Imagine you could design your ultimate experience, enhanced by technology. Similar to how Showrunner allows you to create your own AI-generated show, what would your AI-generated experience look like?
Creating an app has become remarkably easy. I recently saw a demo where a company developed an app just by conversing with a system, which then produced a working app based on that conversation.
Imagine a device, perhaps a sleek clip-on, a smart patch, a pair of glasses, or an advanced smartphone, that continuously measures vitals, offers round-the-clock availability, and provides empathetic guidance.
In today's fiercely competitive landscape, simply keeping up is not enough; businesses need to consistently outpace their competitors.
What if a small, precise LLM could mirror your own health data and act as a proactive personal health coach? A short exploration of personalised AI health companions.
