Friday in Stockholm. Epicenter is full. SIME 2026 is running under "AI & Humanity, Building the Future Together," and I am in a room with hundreds of operators who showed up to think big about technology in public.
What strikes me afterward is not any particular talk. It is the people gathered in the foyer between sessions, and the same faces at the afterparty later. I left with a notebook half-full of unfinished thoughts, three founder introductions to chase next week, and one nagging question about how my own communication holds up under the same scrutiny I keep applying to everyone else.
A bold direction can be written down anywhere. It only travels as far as the listener already believes ambition is possible. Rooms like SIME shorten that distance. The European AI conversation in 2026 has its own accent now, with regulation treated as a design constraint rather than an afterthought. Stockholm and other Nordic capitals are emerging as anchors rather than satellites of San Francisco, which I unpack in this issue's terminology piece on AI Spring.
A printed copy of Innovate Stockholm landed on my desk the same week, with a quote from me inside about ambition and staying flexible when approaching innovation. Several founders profiled in that book were also at SIME. Coincidence aside, the principle has been piling up evidence in this corner of Europe.
The clause the AI age is testing
The Amazon Leadership Principle reads in full:
"Thinking small is a self-fulfilling prophecy. Leaders create and communicate a bold direction that inspires results. They think differently and look around corners for ways to serve customers."
The clause the AI moment is most directly testing sits in that verb pair: create AND communicate. Setting an ambitious course has always been hard. Communicating it well across every layer of a company over years has never been easy either. Right now it is technically easier than ever and emotionally harder than ever.
Generative tools can draft your keynote, personalize it for fourteen audiences, translate it into eleven languages, and post it across twelve platforms by lunch. Workers can also feel, and resent, when that ambitious course was authored by a model rather than by you.
So what does an authentic Think Big story actually look like now?
Bold direction at scale
The canonical Think Big enactment right now is Andy Jassy. This month he committed Amazon to $200B in AI capex and framed it plainly: "You have to bet big when you find major inflection points." His message lands at Amazon's scale because he has been personally repeating the same sentences for years. Will the bet pay off? Time will tell. The discipline he is modelling is independent of the outcome.
Most European executives cannot place a $200B chip. What they can do is land one ambitious story in their own voice over a decade, using generative tools to amplify reach without dissolving the conviction underneath. That is the discipline this issue is about.
Megaphone, not author
The flattening effect is mechanical. Language models gravitate toward dominant linguistic norms and statistically common phrasing. Ayd Instone wrote earlier this year that emails read smoother and articles more polished, but everything has started to sound alike: not bad, not wrong, just oddly substitutable.
That is the texture your message takes on when generative tools do the writing. Smooth, safe, indistinguishable from any other executive pronouncement on the same topic.
What is the counter-move? Many executives are deliberately publishing in their own slightly imperfect prose. Polish now reads as evasion. A rough edge reads as sincerity. I am working out where the line sits in my own writing, and I suspect anyone honest about this discipline is doing the same.
For the Think Big leader, the live decision is what role generative tools play.
- AI as megaphone carries one keynote across fourteen markets, conviction intact.
- AI as author rewrites that speech into a safer middle voice nobody recognises as yours.
How to hold the paradox
Both poles are real. Models keep improving at amplifying communication, and refusing to use them is a dereliction. They also keep improving at writing for you, and handing them the authoring is a different dereliction.
The operators who navigate this use generative tools more aggressively than peers and disclose that use more openly, while authoring the actual message themselves for a decade at a time. Lean toward speed and scale and you sound like everyone else. Lean toward craft alone and you cede the room to executives reaching forty markets while you reach two.
This is also the territory Andy Raskin's strategic narrative framework maps out, which I unpack in this issue's framework piece. Frame and megaphone are complementary. Skip either and nothing lands.
Your action step
Take your most recent leadership communication. Read it aloud and ask three questions.
- Can I say where we are heading in one sentence, in my own words, without notes?
- When I read this back, does it sound like me, or does it sound like a generic chief executive?
- If a friend who knows me well read it, would they recognise the writing as mine?
If any answer is no, you have not lost a piece of content. You have found the work. The fix is rarely additional polish. Usually it is removing some.
If you are wrestling with how to scale your message across markets without misplacing your voice, that is what I work on in AI strategy advisory sessions and in keynote and workshop engagements with leadership teams across Stockholm and Europe.