SAFE
The modal chief executive here is not a Fortune 500 CEO but the top officer of a small firm, hospital, nonprofit, or government agency — and the job is overwhelmingly negotiation, capital allocation, hiring and firing senior people, board and investor management, and owning outcomes when calls go wrong. AI already drafts the board deck, the strategy memo, the market analysis, and the earnings script, so the analytical support layer around the role thins out sharply. What does not transfer is the signature: CEOs personally certify financial statements under SOX, carry fiduciary and personal liability, and are the human counterparties boards, lenders, regulators, and key customers insist on dealing with.
Roughly flat across the period, with year-to-year wobble.
Median pay $184,460 → $213,990 -7.2% in real terms
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.
BLS projection, 2024–2034
+4.3%
Percentage only. The projection counts a different population from the 204,350 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Hard to automate, and growing
The work resists current AI and the BLS projects +4.3% more of these jobs by 2034. Note that safe does not mean well paid — several of the fastest-growing resistant occupations are among the lowest paid on the register.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
~22,200 openings a year on average, including replacing people who leave.
PresidentStaff ChiefAgency OwnerBureau ChiefChief WardenCommissionerBank PresidentMedia ExecutiveMusic ExecutiveTax CommissionerWelfare DirectorExecutive OfficerRoad CommissionerBusiness ExecutiveExecutive DirectorLabor CommissionerNonprofit DirectorWater CommissionerCorporate ExecutiveCounty CommissionerFoundation DirectorHealth CommissionerLiquor CommissionerPolice Commissioner
Holding it up: judgment & accountability . Weakest point: embodiment .
Mixed — a routine tier and a judgment tier At 13 rather than 17, the honest split is that the memo-writing half of the job — competitive analysis, board decks, budget variance narratives, the first draft of the reorg plan — is already machine work, while the irreducible half is sitting across from a lender renegotiating a covenant, telling a division head their unit is being closed, and reading a room of skeptical trustees.
Some physical or field component 7 reflects that the office and the Zoom call are the default, but the job still drags you into plant walkthroughs, hospital floor rounds, site visits before an acquisition closes, and the airport-and-dinner circuit where deals actually get agreed — physical presence that is habitual but not skilled manual work.
Licensed human required and personally liable 12 sits above the certification band because there is no CEO licence to revoke, yet Sarbanes-Oxley 302/906 requires you to personally attest to the financials with criminal exposure, and state fiduciary duty law puts your own assets in front of derivative suits — statutory personal accountability without a credentialing body.
Exists to be accountable for ambiguous calls 20 is right because nobody above you resolves the ambiguity — you decide whether to take the dilutive round or cut 15% of staff, with contradictory data and no procedure, and when it goes wrong the board fires you rather than reviewing the process.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (13/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (12/20) is whether the law requires a licensed human to sign. Trust premium (17/20) is whether buyers specifically pay for a person. Judgment and accountability (20/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 49 of this occupation's 69 points (71%).
Embodiment (7/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 80/100, still SAFE.
Statutory personal certification duties extending beyond SOX 302/906 financials into new domains: SEC cyber disclosure (Item 1.05) practice hardening into named-officer attestation, NYDFS Part 500 annual senior-officer certification spreading to other regulators, EU CSRD/CSDDD sustainability and human-rights due-diligence sign-off binding US parents of EU subsidiaries, and Colorado SB 24-205 / EU AI Act deployer duties requiring a named accountable officer for high-risk AI decisions. Each adds a document a human executive must personally sign under penalty.
Task-mix shift: the analytical tier (board decks, market analysis, model-building, earnings scripts, memo drafting) automates away, leaving a residue that is almost entirely live negotiation, senior hiring and firing, and capital allocation under contested information. This raises the share of the remaining day AI cannot do at usable quality without any new law.
D&O insurers or lenders writing covenants that void coverage where a material representation, forecast, or loan certification was generated without a named human officer's documented review — the insurer-side analogue of the sign-off requirement, enforced by contract rather than statute.
Board and lender practice codifying human presence: NACD/institutional-investor guidance or lending-agreement terms requiring the CEO personally (not a delegate or automated system) in diligence sessions, covenant discussions, and key-customer escalation. Headroom is small because this is already near-universal informally.
The limit. judgment_accountability is already at 20 and embodiment has no route. Practical ceiling is roughly 76-78; the binding constraint is task_resistance, since the drafting and analysis layer around the role is genuinely being absorbed even as the signature and the accountability are not.
| Los Angeles-Long Beach-Anaheim, CA | 10,800 | $234,290 +9% |
| New York-Newark-Jersey City, NY-NJ | 7,180 | $301,440 +41% |
| Boston-Cambridge-Newton, MA-NH | 5,210 | — |
| San Francisco-Oakland-Fremont, CA | 5,190 | $288,690 +35% |
| Minneapolis-St. Paul-Bloomington, MN-WI | 4,500 | $209,980 -2% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 4,120 | $292,770 +37% |
| Sacramento-Roseville-Folsom, CA | 3,680 | $169,770 -21% |
| Chicago-Naperville-Elgin, IL-IN | 3,610 | $344,960 +61% |
| Medford, OR | 40 | $615,500 +188% |
| Midland, MI | 60 | $587,950 +175% |
| Midland, TX | 100 | $389,330 +82% |
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 69. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.