What does a Chief AI Officer cost?
The full-time salary bands, the fractional retainer market, and my own published numbers. Written so you can work out the answer without booking a call first.
$5K–$30K a month fractional. Far more full-time.
Hiring a full-time Chief AI Officer in the US means a base salary of roughly $280,000 to $650,000, depending on company size and how central AI is to the business. Bonus targets commonly run 30–60% of base, equity sits on top, and packages north of $1M appear at large tech companies and frontier labs. Growth-stage companies cluster nearer $250K–$400K base; mid-market lands around $325K–$450K.
The fractional market is where most $10M–$50M companies actually shop. Published ranges land between about $5,000 and $30,000 a month for two days a month up to three days a week, which typically works out to 20–35% of the all-in cost of the full-time hire. Independent operators at the senior end quote $700–$1,500 an hour, or $20K–$80K monthly for heavier commitments.
Two costs get left off the comparison and shouldn't be. A CAIO search commonly runs four to eight months, and the AI program doesn't pause while it happens. And a mis-scoped hire, the job description written before anyone understood the job, is expensive twice: once in salary, once in the year it takes to notice.
All figures USD. Market ranges are drawn from published 2026 compensation surveys and fractional-CAIO rate cards; my own numbers are below and are not negotiated per client.
Why quotes vary so much.
Six factors explain nearly all of the spread between a $5K retainer and a $30K one.
One seat or two
The biggest saving on the page, and I can quote it: my fractional CTO tier and my fractional CAIO tier are each $18,000 a month, and one engagement covers both seats. Hired as two separate fractional executives, the seats would bill $36,000.
Days per month
The single biggest lever. Two days a month is advisory. Two days a week is ownership. Three or more is effectively the job.
Advice, or build
Strategy and governance alone price lower than an engagement where the same person architects and ships the systems, and lower again than one where recruiting and technically vetting AI-capable engineers is in scope. Different skills, different risk, different month.
Regulatory load
A HIPAA or EU AI Act footprint adds real work: classification, evidence, and answers that survive an auditor rather than an offsite.
State of the estate
A company with three sanctioned tools is a different job from one with forty systems nobody has inventoried and a shadow-AI problem.
Firm or individual
Agencies add bench, account management and margin. Working directly with one operator costs less and removes the layer between you and the decisions.
Full-time vs fractional, honestly.
Annualized, with the costs that don't appear on the offer letter.
$400K–$900K all-in, plus the wait
- , Base $280K–$650K, bonus commonly 30–60%, equity on top
- , Recruiting fees at 25–33% of first-year cash
- , Four to eight months of search, during which nothing is owned
- , Three to six months of ramp before the first real decision
- , Right when AI is the product or the primary regulatory exposure
$60K–$360K a year, starting this month
- →$5K–$30K a month depending on days and scope
- →No recruiting fee, no equity, no severance risk
- →In the seat in days, with decisions made in the first week
- →Cross-company pattern matching instead of one company's habits
- →Scales up during a push and down once the program is running
What I charge, exactly.
Published so you can self-qualify before we talk. Same numbers for everyone, in USD.
The AI Diagnostic
The inventory, the shadow-AI audit, the data readiness read and a ranked use-case portfolio with business cases, ending in a sequenced plan you can run with or without me.
AI Advisory
Senior judgment on the roadmap, build-vs-buy, vendor calls and governance. For teams that can execute but need the expensive decisions made correctly.
Fractional CAIO
The full seat. Strategy, governance, the portfolio and the build, owned end to end and hands-on. Most engagements run 6–18 months.
Interim / Embedded CAIO
Near-full-time in the seat, for a stalled program, a live exposure, or covering the role until the permanent hire lands.
All prices USD. Fixed-scope work is quoted to scope: AI governance foundations, roadmap & architecture sprints from $35K, PE technical due diligence from $15K/deal. Email me ↗
What people ask about price.
How much does a Chief AI Officer cost?
A full-time Chief AI Officer in the US costs roughly $280,000 to $650,000 in base salary, with bonus targets commonly 30–60% of base and equity on top, so all-in packages of $400,000 to $900,000 are normal at mid-market and enterprise scale. A fractional CAIO runs about $5,000 to $30,000 a month depending on days and scope. My own published rates are $10K, $18K or $30K a month by commitment, plus a fixed-fee AI Diagnostic from $20,000. One thing to hold alongside those numbers: I hold the CTO seat as well as the CAIO seat, so a company weighing an AI executive plus a technology executive, or a CAIO plus an integrator to build what they specify, is comparing two budgets against one.
Does the $18,000 tier cover both the CAIO and the CTO seats?
Yes. I don't price the seats separately: one engagement, one retainer, both jobs. At $18,000 the roughly two days a week flex between the seats as the program demands, heavy on architecture and build some weeks, on governance and the business the others. Where the dual mandate needs three or more days, that is the $30,000 embedded tier. Either way you pay for one executive; hiring the two fractional seats separately would bill about double.
How much does a fractional Chief AI Officer cost per month?
The open market runs roughly $5,000 to $30,000 a month, which is typically 20–35% of the all-in cost of a full-time hire. Senior independent operators quote $700–$1,500 an hour, or $20K–$80K a month for heavy commitments. My rate is $18,000 a month for roughly two days a week, $10,000 for about one day, and $30,000 for three or more.
Why is a firm more expensive than an individual?
Because you are paying for a structure. A consultancy's rate carries the partner who sold the work, the account manager, the bench that has to stay funded between projects, and the firm's margin on top. Working directly with one operator removes all of that, and it removes the layer between you and the person making the decisions. What a firm buys you in return is scale and continuity of supply, which is worth real money at enterprise size and worth much less at $10M–$50M.
Why do you publish your pricing when most firms don't?
Because a hidden price is a filter that wastes both of us a call. Anyone who can't carry $18,000 a month self-selects out before the introduction, and anyone who can arrives already knowing the terms. It also removes the suspicion that the number is derived from how the buyer looks rather than the work involved.
Is there a cheaper way to start?
The AI Diagnostic, at a fixed $20,000 over two to four weeks. It produces the inventory, the shadow-AI audit, the data readiness read and a ranked portfolio of automations with a sequenced plan attached. You keep all of it whether or not we continue, and plenty of companies run the plan themselves.
What isn't included in the retainer?
Third-party costs: model and API spend, tooling and licences, cloud, audit fees, and recruiter fees if you use one. I'll size those in the roadmap so they're budgeted rather than discovered, but they're paid to the vendors directly, not through me.
Do you require a minimum term?
No long lock-in. Most fractional engagements run 6–18 months because that's how long the work takes, not because a contract compels it. Notice is 30 days on either side. If the program no longer needs the seat, ending it is the correct outcome.
Related reading & paths.
What is a Chief AI Officer?
The role explained: the mandate, the reporting line, and the four signals that say you need one.
Fractional CAIO services
The engagement itself: what I own, and how the phases actually run.
Fractional vs interim vs full-time
Which shape of the seat your company needs, and what each one really costs.
Know the number.
Now the harder question.
Whether the seat is worth filling at all, and in what shape. Tell me what AI has to deliver and I'll give you a straight read.