AI Leadership··3 min read
What a Chief AI Officer Should Be Measured On
Measure this role on projects shipped and you will get projects. Here are five measures that reward the judgment you hired for.
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The JournalEssays & Field Notes
Practical writing on AI in the wild.
Field notes from real engagements. Frameworks, postmortems, and the unglamorous discipline of shipping AI in production.
AI Leadership Articles
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AI Leadership··3 min read
Where AI Should Sit in Your Org Chart
Three structures, each with a predictable failure mode. The right one depends less on strategy than on how many people you have.
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Hiring Your First AI Leader: What to Look For
The candidate who impresses in the interview is often the wrong one. Here is what actually predicts success in the first AI seat.
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Chief AI Officer vs Head of AI: Which Title Fits?
One owns the portfolio and answers to the CEO. The other owns delivery inside a function. Getting this wrong is expensive.
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How to Become a Chief AI Officer (Without a PhD)
Almost nobody in this role arrived from AI research. Here are the four routes people actually take, and what gets tested on the way.
Read essayAI Leadership··4 min read
How to Report AI Progress to a Board
Boards do not need a tour of the technology. They need four numbers and an honest read on risk.
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A Chief AI Officer's First 90 Days, Done Properly
The first quarter decides whether the seat earns its place. Here is the sequence that works, and the launch that wastes it.
Read essayAI Leadership··4 min read
Does My Company Actually Need a Chief AI Officer?
Most companies asking this question do not need a full-time AI executive. Here is the test that tells you which of the three answers applies.
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The Chief AI Officer Job Description, Written Honestly
Most Chief AI Officer job descriptions are a wish list assembled from three other roles. Here is what the seat is genuinely accountable for.
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Common questions
- What does this blog cover?
- AI strategy and leadership decisions for growing businesses: what a Chief AI Officer actually does, how to evaluate vendors, how to measure return, and why most AI projects fail. It is written for people deciding what to fund, not for people building models.
- How often is it updated?
- New pieces publish regularly, and existing ones are revised when the underlying facts change — pricing, market rates and vendor landscapes move quickly enough that stale posts become misleading rather than merely dated.
- Who writes it?
- Erin Moore, a fractional Chief AI Officer and U.S. Army veteran with an Executive MBA, an MS in Data Science and a Lean Six Sigma Black Belt. Everything is written from the buyer's side of the table, which is where the work happens.
- Where should I start?
- If you are new to the topic, start with what a fractional Chief AI Officer does and why most AI projects fail. If you are already spending on AI, the posts on AI audits and measuring ROI will be more immediately useful.