The space between what AI can do and what organizations can absorb.
Yannick Hofmeister is Partner and COO of OWT, a strategy and technology consulting firm in Switzerland, where he leads AI & Alpha Factory®.
He works on AI adoption — and the organizational architecture that decides whether it lasts.
Whitepapers
- APR 2026·39 min readThe intelligence transition
Why 80% of AI projects fail — and the organizational architecture that fixes it.
Articles
- SEP 2026·18 min readThe decision deficit
Self-directed agents now finish the work and make the decisions along the way. What is scarce is no longer checking the output but deciding, before the run, which decisions stay yours.
- JUL 2026·14 min readThe executable institution
You cannot trust AI agents, and it has stopped mattering. The structures civilization built around untrustworthy people — audits, checklists, appeals — became software this year, and they change what one accountable person can safely run.
- JUN 2026·14 min readThe accountability deficit
When AI moves from answering questions to doing work, the scarce thing is no longer a better model. It is a person willing to answer for what the work becomes.
- MAR 2026·13 min readThe Context Deficit
On what the first generation of deployed AI agents reveals about the gap between capability and understanding.
- MAR 2026·11 min readOn the Migration of Scarcity
What happens when the thing every organization optimized for becomes cheap — and the thing nobody invested in becomes the constraint.
Ideas
- Migration of scarcity
The migration of scarcity is the shift that happens when AI makes production cheap: the binding constraint moves to the human capacity to specify what intelligence should do, verify that it did it correctly, and keep the institutional memory that makes verification compound.
- Accountability deficit
The accountability deficit is the gap that opens when AI agents move from answering questions to doing work that people act on, while no named person answers for the quality of that work.
- Executable institution
An executable institution is a verification structure that organizations used to run by hand, such as bookkeeping, audits, checklists, receipts and appeals, now running as software in seconds, so every piece of delegated work can be checked every time, whoever or whatever produced it.
- Decision deficit
The decision deficit is the gap that opens when self-directed AI agents make the decisions that used to arrive with the instructions, such as how to read the goal, which alternatives to consider and what counts as done, while nobody has decided in advance which of those decisions the agent may take.
Press
Evidence
“More than 80 percent of AI projects fail — twice the rate of conventional IT projects.” — RAND, 2024.
“About 95 percent of enterprise GenAI pilots show no measurable P&L impact.” — MIT NANDA, 2025.
“78 percent of organizations reported using AI in 2024, up from 55 percent the year before.” — Stanford HAI, 2025.
“Only 25 percent of AI initiatives deliver expected ROI; only 16 percent scale enterprise-wide.” — IBM CEO Study, 2025.
FAQ
- Who is Yannick Hofmeister?
- Yannick Hofmeister is Partner and COO of OWT, a strategy and technology consulting firm in Switzerland, where he leads AI & Alpha Factory®, the firm's framework for scaling AI. He works on AI adoption and the organizational change that makes it stick.
- What is OWT?
- OWT is a Swiss strategy and technology consulting firm. Yannick Hofmeister is a Partner and its COO.
- What does Yannick Hofmeister write about?
- The gap between what AI can do and what organizations can absorb — AI adoption, agent architectures, and the institutional change that turns capability into outcomes.
- How can I work with Yannick Hofmeister?
- Through OWT's strategy and technology consulting, or by reaching out on LinkedIn.
- What is “The intelligence transition”?
- A whitepaper published in April 2026. It examines why more than 80 percent of AI projects fail, per RAND. Its answer is organizational architecture, not model capability.