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$100 Billion in a Day: What Matching a Rival's AI Launch Can Cost
When a rival launches, the room rewards visible motion. Five questions turn the urge to match into a decision someone can defend.
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AI Decisions for the Board
A newsletter for people who own the AI portfolio and have to defend it. One argument an issue.
Not a link roundup and not news. Each issue takes one decision an executive is actually facing, argues a position on it, and leaves something usable: a test, a question set, a way of writing the decision down.
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Every issue stays readable, free, and open without an address.
The newest arguments appear first. Use the filters to separate judgment-led writing from practical instruments.
A Six-Month AI Pilot Ran Up $85 Million. I Followed the Money.
Most of the money came after the signatures. Some of it came after the audit.
European AI Independence Is Fiction. We Do Not Have the Model.
Sovereignty you can buy. Independence you cannot. What the identical workload actually costs across four control tiers, priced line by line.
Your AI Business Case Has Two Blind Spots
Most AI business cases underprice the changed workflow and undervalue the capability it builds. Put both sides into one accountable decision.
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Who Can Stop Your AI Before Monday?
If a team can start an AI system within a day but needs several days to stop it, its governance is built for expansion.
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AI Content Needs an Accountable Editor
A disclosure label is only one step. Give one accountable editor the evidence and authority to approve, change or stop AI-generated public content.
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Who Is Paid to Kill Your AI Projects?
Four rational forces keep inflating AI portfolios. Install explicit kill authority, evidence dates and a rule for reallocating scarce talent.
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AI Didn't Take Your Job. It Took Your Successor's.
AI can raise junior output while removing the work that built judgment. Redesign apprenticeship before efficiency weakens your succession bench.
You're In Love With the Idea of AI
AI looks perfect in a presentation. Commitment begins when leaders choose the workflow, decision rights, full costs and evidence that will govern the real system.
The Three AI Waves — and Why the Timeline Keeps Moving
Use efficiency, augmentation and reinvention as a capability map. Recheck the timetable every quarter as performance, reliability and adoption move at different speeds.
AI's Jagged Frontier: Genius Here, Foolish Next Door
AI can excel at one task and fail on the next. Test the exact workflow, contain the miss and monitor the boundary in production.
The One-Second Gap Between Trigger and Leadership
Notice, name, pause and choose: a compact practice for keeping truth and judgment available when a leadership trigger arrives.
Six Bosses Who Built the Way I Lead
Six bosses taught me composure, value, team design, board preparation, negotiation and innovation. Their lessons became a deliberate leadership apprenticeship.
You Cannot Outsource AI Ownership
Test whether your central AI role sharpens ownership across the executive team or becomes an alibi for everybody else.
AI Needs Verifiers. We Are Training Ourselves Not to Think.
AI changes knowledge work from producing answers to supervising them. Make verification a skilled, named responsibility before judgment fades into a final check.
When Success Becomes Your Identity
When an initiative becomes proof of who you are, evidence loses power. Separate identity from outcome before desperation starts steering strategy.
I Burned €50 Million Building Apple Pay Before Apple
MyWallet had working technology, major partners and a large delivery machine. A difficult customer path and weak adoption evidence made all of that insufficient.
AI Can Perform. Only Humans Can Own the Outcome.
AI can generate, rank, recommend and act. A company still needs named people who own the objective, evidence, decision, operation and consequence.
Before You Build an AI Adviser, Build Its Context
Build a portable context system that tells an AI adviser which decision, evidence, authority, judgment and boundaries matter.
Execution Is Where AI Strategy Becomes Real
Move one material AI bet through four explicit gates: outcome, workflow, production and scale. Every gate ends in a decision.
Design an AI Strategy That Survives Contact With Reality
Connect the customer promise, principles, portfolio, authority and funding gates so your AI strategy behaves as one system.
Build AI Strategy Backward From the Future
Choose a future business state, work backward to the capabilities it requires and test the riskiest assumption with a bounded material pilot.
The 10 AI Strategy Traps That Keep Companies Busy and Stuck
Diagnose ten recurring AI strategy traps, find the one controlling your portfolio and change the operating rule that keeps producing it.
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