Friends,

your weekly AI briefing is here - designed to help you respond to AI, not react to the noise. No curveballs. No chaos. Just clarity.

📰 This was the week that was...

This was the week three governments drew three different maps of the AI future - and one company decided to ask a much bigger question.

The UK is heading into a new political chapter. Keir Starmer resigned on Monday, with Andy Burnham on course to become the UK's sixth Prime Minister since the Brexit vote. What the new government chooses to do with AI policy matters - a new hand is on the tiller at exactly the moment the rules are being written.

Meanwhile Brussels and Buenos Aires are going in opposite directions. The EU's Council and Parliament agreed to simplify and streamline the AI Act - a signal that the original rules were too complex for the businesses they were meant to protect. President Milei took the opposite view, using an FT op-ed to invite AI companies to Argentina with the promise of non-human corporations run by AI, minimal regulation, and low taxes. Three governments. Three very different bets.

Midjourney announced Midjourney Medical - full-body ultrasonic scanners, 60 seconds, built into spas. It earns its own space in Geek Out.

Access to Fable remains suspended.

Let's get into it.

🔥 Urgent Priorities

✅ The regulatory map is being drawn in three different directions simultaneously - EU simplifying, Argentina deregulating, UK in political transition. Know where your AI stack's compliance exposure sits, especially if you operate across borders

✅ The Fable question from last week is still live - "what would we do if our most-used AI tool disappeared on Monday?" still deserves an answer

✅ Prediction is a core business capability now, not a strategic luxury - this is the week to start practising it deliberately

This isn't a week for panic. It's a week for looking around corners.

🎯 Strategic Insight

The week the moat question changed.

Tension: Most organisations use AI to move faster - more of what they already do, in less time. Bain & Company is now vibe-coding functional replicas of software acquisition targets - building working imitations of entire companies in days - to find out whether the code is actually the defensible part of the business. In most cases, it isn't. The code is replicable. The moat is somewhere else.

Optimistic insight: This is clarifying, not frightening. As AI drives the cost of doing toward zero, what rises in value is what cannot be replicated at zero cost. Natural intelligence - your people's judgement, relationships, and lived experience - supported by silicon intelligence, not replaced by it. Four things keep appearing at the top of the genuinely defensible list: meaningful human connection, holding risk wisely by predicting forward, proprietary data, and clarity of purpose. Each goes up in value as AI commoditises everything else.

What's shifting: If you can vibe-code a replica of any software business in a weekend, the bottleneck in M&A shifts from due diligence to imagination. The question moves from "is this defensible?" to "where will value concentrate in the next 12 months - and how do we get there first?" That is a prediction question. And the discipline of making deliberate bets about the future is becoming a genuine competitive advantage - not for M&A firms alone, but for every business navigating a market this fast.

Why this matters now: Every business is making bets about where value will land. Most are making them reactively - waiting for the market to confirm before they move. The firms who look back on this period as their inflection point will be the ones who built a view of the future and committed to it early.

Takeaway: Take one strategic question your business has been deferring because you "need more data." Reframe it as a prediction: what do you believe is true about the next 12 months? Write it down. Test it. Prediction is not certainty - it is the discipline of looking further out than the next quarter.

🤓 Geek Out

Midjourney Goes to the Doctor

👉 Read the announcement here

Midjourney has announced Midjourney Medical: full-body ultrasonic scanners that image your entire body in 60 seconds, delivered through spas you'd want to visit anyway. Half a million tiny sensors build a 3D body map to a fraction of a millimetre - comparable to MRI quality, at a fraction of the cost and time. First spa opens in San Francisco in 2027. Goal: a billion scans a month by 2031. No investors. Community-funded.

Why it matters: Midjourney was losing the image generation race. Rather than fight harder on the same ground, they looked at their core capability - turning complex sensor data into detailed images - and asked: what is the biggest problem we could solve with this? Healthcare data scarcity was the answer. Most people never get a whole-body scan unless something is already wrong. A 60-second spa visit changes that. This is what raising your ambition looks like: not incremental improvement, but taking your existing assets to a much harder, more important problem.

👉 Action: Run the same question on your own business: what capabilities do we already have that could solve a much bigger problem than the one we're currently applying them to? 

The Frugal AI Switchboard

👉 Explore the Switchboard

The Frugal AI Switchboard - built by James Martin at BetterTech using Mistral - lets you find the right model for each type of task: coding, data analysis, meetings, writing, image generation, customer support. Alongside the capability comparison, it shows the energy use and carbon footprint of each choice.

Why it matters: Defaulting to frontier models for everything is the AI equivalent of taking a Rolls-Royce to the corner shop. The Switchboard makes the trade-offs visible - and the frugal path is usually greener, cheaper, and just as capable for the job in hand.

👉 Action: How are you ensuring your AI strategy is appropriately frugal? The Switchboard is a good place to start the audit.

The Administration of Skills Goes to Zero

👉 Explore Airskills

I had a conversation this week with Chris Parsons, who has been working on a quiet but consequential problem in AI adoption: you write a skill once, it lives on one machine, in one tool, and quietly diverges from everyone else's version. His tool, Airskills, backs up, publishes, and syncs your skills across every agent and machine - Claude, Copilot, Cursor, ChatGPT - in a standard open format with no lock-in. MIT licence. Open source.

Why it matters: The cost of writing a skill is falling fast. The cost of administering them - keeping them current, consistent, and distributed across tools and teams - is still surprisingly high. Airskills drives that cost toward zero, freeing time back for harder problems and bigger ambitions.

👉 Action: If your team is building AI skills, try Airskills for your next one. If you're not yet building skills - a conversation with Chris is a good place to start.

🎨 Weekend Playground

Warp - built by my friend Chris Barry - is a calmer kind of workspace where conversations turn into briefs, dashboards, forms and small tools, without ever leaving the thread. This weekend: try it on a family project.

Why this matters: Most AI tools are built for work. Warp works just as well for the stuff outside it - and using it on something personal is often the fastest way to understand what it can really do.

👉 Mission:

• Pick a real family project - a trip, a gathering, a home plan - and open a Warp conversation about it

• Let the conversation shape itself into something useful: a brief, a checklist, a small tool

• Works on Android, iPhone, or browser

📢 Share the Optimism

If The AI Optimist helps you think more clearly, forward it to someone else navigating the shift.

And here's the question I'm genuinely curious about this week: if you could predict one thing about where AI will take your industry in the next 12 months, what would you bet on? Reply and tell me - I read every message and I'll come back to you personally.

Stay strategic, stay generous.

Hugo & Ben