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Over the past two years, we have spoken with many team leaders and company directors. They all asked the same two questions. What should we do with AI? And how much will it transform our organisation?
Some leaders had a clear view of what was coming. They were already using AI tools, and they could see how fast the technology improves. They also knew their teams were comfortable with digital tools and would adopt AI without much resistance.
Others lived in deep uncertainty. It kept them awake at night.
Debating the future of work with these leaders was fascinating. In the end, these conversations became the main reason we created the Kernel programme. Our objective is simple. We want to help the leaders who struggle most: those who need benchmarks from other sectors, those who don't know where to begin, and those who feel disappointed by AI and by what the media reports about it.
Fresh data for your executive committee
Kernel is first a set of practical deliverables. You can take them directly to your executive committee, with fresh data to support informed decisions on how to adapt.
These discussions must happen now. AI will transform workplaces, entire jobs and entire organisations, and it has already begun. Measured effects are still small, but I believe the forecasts underestimate how fast this transformation will arrive. Several early climate projections underestimated how quickly some impacts would come. We expect a similar story with AI and work.
So let's anticipate. Let's explore new organisation charts, new job functions and new management styles. Let's imagine early what could work for different types of companies, and let's document it all and learn from each other.
This is why Kernel runs as a series of live sessions, with a maximum of 30 people per cohort. It is not a lecture where one expert speaks and everyone listens. It is closer to a tertulia (a regular gathering for conversation), where every session adapts to your situation and your use cases.
Bringing your voice to the people who write the rules
Kernel has a second objective. Leaders who run real organisations should bring their view to the institutions that decide policy. Today, those institutions work with very little real-world evidence.
- The rules are being written now. The EU has just postponed its AI Act rules for AI used in hiring, evaluation and worker monitoring to December 2027. In the US, states considered 155 bills on AI in the workplace in 2026 alone. California's governor ordered state agencies to propose rules on severance, layoff notices and training for AI-affected workers.
- The decision makers admit they lack data. Several bills in the US Congress exist mainly to collect better data on AI and jobs before any larger decision. One congressman noted that no consistent method exists today to measure how employers use AI.
- The evidence is mostly models. A 2026 London School of Economics review examined 74 studies on AI, jobs and wages. 70% of them estimate potential impact from exposure scores and simulations. Only 30% measure what has really happened. The International Labour Organization warns that exposure scores should not be used to forecast job losses. A Brookings analysis calls current evidence inconclusive.
Policy is moving fast, and it rests on forecasts more than on the experience of people who manage teams every day. Kernel can help change that.
Your name in the Human OS Index
If you wish, your name will appear in our annual report, the Human OS Index. The 2027 edition will bring together insights from every cohort participant during the year. It will go to policy makers to support better-informed decisions. Whatever they decide will, in the end, arrive on your desk.
Let's meet
Join one of our free live preview sessions:
👉 5th of November, in English
👉 6th of November, in French
Each session is also a good opportunity to consider joining the next Kernel cohort. We will cover:
- how to identify which parts of your organisation AI transforms first;
- what a manager is for when AI absorbs a third of the work;
- the human skills that remain, and how to measure them.
If your role includes organisational transformation, the future of work is already on your priority list. Kernel is designed to give you insights you won't obtain anywhere else.
Let's meet on the 5th or 6th of November.
From the field
23%. That’s the share of business leaders who say their workforce is fully ready for AI, six points lower than last year. Adoption is accelerating, but readiness is moving the other way. source
One practice for this week
This week, choose one part of your organisation and ask which tasks AI already touches today. Sit with one team for an hour. Instead of reading forecasts, write down what people actually do with AI tools now: where it helps, where it fails, where it changes who decides. Keep this as your own evidence. When your executive committee next discusses AI, you will arrive with real observations from your teams, not only with projections from outside.
If your role includes organisational transformation, come to one of the free live preview sessions on 5 November in English or 6 November in French, and consider joining the next Kernel cohort.