Gérard, Author at Gérard Métrailler

June 30, 2026June 12, 2026

Your Hardest Problems Aren’t Problems

The ones that keep coming back to the same meeting were never yours to solve. In the age of AI agents, tensions move to the core of the job.

A company handed two-thirds of its customer service to AI, shed the equivalent of 700 support agents, and called it solved. A year later, the CEO said the words every leader dreads: We went too far. It was not an AI mistake. It was a category mistake, the same one that breaks reorgs, rewrites, and roadmaps. Many of your hardest calls were never problems with answers. These were tensions to be managed, and AI agents just turned spotting the difference into a survival skill.

This is the first article in a short series on three cognitive lenses for thinking under pressure: tension, connection, and reduction.

June 23, 2026June 12, 2026

AI Has an Alibi

Everyone blames it for the vanishing entry-level job. The timeline says otherwise.

The entry-level job is disappearing, and the headline has already named the culprit: AI. Here is the problem with the case. The sharp decline set in around late 2022, and AI was nowhere near good enough to replace anyone until late 2025. A cause cannot arrive three years after its effect. So who actually did it? The honest answer is a lineup, and the most interesting suspect never makes the headline: a feedback loop nobody had on a budget line.

June 16, 2026June 12, 2026

The most durable thing in your software isn’t in the code.

AI can clone a SaaS product in a week and walk an agent straight through a shallow integration. What survives are three things that compound into one another, plus the human judgment beneath them that no competitor can replicate.

A trader at Jefferies, not an engineer, named the “SaaSpocalypse” panic, which tells you what kind of event this is. Software shed close to $2 trillion from its October peak on the theory that anything can now be cloned in a week. The theory is right about features and wrong about moats. The error is picturing a moat as a wall, one thing you build once and stand behind. The durable defense is a loop, and underneath it sits the part no competitor can vibe-code, because it was never in the code: judgment.

June 9, 2026June 12, 2026

The blank canvas and the seasoned eye.

Ten years ago, streaming a movie over Starlink at 30,000 feet would have sounded like fantasy. We are about to be just as wrong about AI, and the people who get the next decade right will not be the ones you expect.

We are reliably bad at imagining ten years out, and we miss in one direction: we underestimate. AI is the next thing we are underestimating. The instinct in most rooms is that the young will lead and everyone else will catch up. That instinct is wrong twice over, and the answer to why is older than any of the tools.

June 2, 2026June 12, 2026

Your AI budget is already gone.

Editorial documentary photograph of a quiet finance executive's desk; a framed editorial illustration above the desk shows a small stack of token-shaped chips with one corner of the stack burning steadily and a thin trail of smoke rising upward, the rest of the stack intact but visibly being consumed.

Three Uber executives, three different seats, told the same story this spring. The cost category most boards govern quarterly is moving to hourly.

By April, Uber’s CTO had blown the AI budget he set in December. Three weeks later, the CEO said he was metering headcount and leaning further in. Two weeks after that, the COO asked aloud whether any of it was producing value. Three quotes, three seats, one cost category nobody had experience with. Here is why token spend breaks the quarterly cadence finance was built on, and the three questions a board should be asking by the next meeting.

May 26, 2026June 12, 2026

Where you work stopped mattering. When your AI resets started.

A close-up of an analog wall-mounted station clock with four colored arc-segments painted on the dial in place of hour numerals: three deep navy-blue segments and one mint-green segment in the lower-left position. The minute hand is slightly blurred, in motion.

The remote-versus-office debate has aged out; now, shifts run on an AI token clock you do not control.

Your AI tool reset now shapes your calendar. Claude meters in 5-hour windows, ChatGPT in 3. A heavy user on a Max plan can use an entire window in an hour, then wait four. This pacing splits your day into four shifts, making your meeting culture count against subscription tokens. Below is a proposed schedule for a modern knowledge worker, with three actions to try this week.

May 19, 2026June 12, 2026

You signed it. You own it. That is the only test that matters.

A tightly framed close-up of a printed page on a light oak desk. Three short clean paragraphs of dark grey serif text are visible. In the margin, a handwritten check mark and the short note "Fully agree!" in dark blue ink. At the bottom of the page, a hand holding a black fountain pen is mid-signature.

The argument over what counts as cheating is the wrong argument. Here is the one worth having, and the three questions that settle it.

A friend asked me last week whether it was cheating to have ChatGPT clean up his English before he sent a client memo. He is fluent, not native; the model fixes a stray preposition, tightens a sentence, lifts the register half a notch. He has been doing this for two years. He has never asked the question out loud before.

I asked him whether he uses Grammarly. He laughed. Of course, he uses Grammarly. Everyone uses Grammarly. Grammarly is not cheating; Grammarly is hygiene.

That is the entire debate, in two minutes.

January 27, 2026January 27, 2026

AI SaaS Pricing: How to Profit When Every Prompt Has a Real Cost

In SaaS, variable costs are familiar. AWS and Azure bills rise and fall with traffic, storage, and bandwidth, but you can usually forecast them and smooth them with commitments.

AI flips the model because cost is triggered by a mixture of behavior and model choice, not just scale. Each generation can add metered COGS, and multimodal makes the spikes sharper: images, audio transcription, voice output, and video generation can cost orders of magnitude more than a short text reply. Retries, longer outputs, bigger context windows, and tool calls amplify this fast.

Then comes the perception problem. Buyers are trained by ChatGPT and Gemini that AI feels cheap or “free” at the point of use, which anchors expectations. The executive challenge becomes defending value and margin while keeping usage predictable.

January 17, 2026January 17, 2026

On AIO / GEO for Content Creation

SEO isn’t dead—but it’s no longer enough. In this episode, Gérard explores how AI-driven search is changing the visibility game and why “AIO” (AI Optimization) is the next frontier for marketing leaders. From the history of SEO and social sharing to today’s AI-first discovery, you’ll learn how to stay ahead of the curve.

For leaders, the key message is clear: early adopters of AIO will win in a world where AI assistants choose the answers people see.

Read the full article here: https://m8r.me/aio-article

November 11, 2025January 27, 2026

Going Deep: My Journey from ChatGPT User to AI-First Builder

Like many of you, I started experimenting with ChatGPT out of curiosity.

Initially, it was a helpful assistant, assisting with tasks ranging from writing emails to drafting summaries and even brainstorming ideas for presentations. I got good at writing prompts. I learned to coax better answers by refining my questions, layering context, and iterating until the output was just right.

But here’s what I quickly realized:

Being proficient at using ChatGPT doesn’t mean you understand how large language models (LLMs) and Generative AI (GenAI) really work, nor what they can and can’t do to transform a business.

I’ve had the privilege of leading global teams, driving SaaS transformations, and delivering meaningful outcomes. I’ve seen firsthand how technology waves come and go, from the early days of web software to mobile, cloud, and subscription models, but what’s happening now with AI is fundamentally different. It’s not just a new tool; it’s a new paradigm for how businesses think, operate, and create value.

And so, earlier this year, I made a decision: If I wanted to lead in this new era, I needed to go deep.