← Risk register SOC 11-9021 · reviewed 2026-08-11

Construction Managers

380,360 US workers · median $114,990/yr · Management

EXPOSED verdict contested

The paperwork half of this job — schedule updates, cost tracking, submittal and RFI drafting, progress reports, bid comparisons — is exactly what current AI does well, and construction software vendors are shipping it now. The other half is walking a live site, reading whether a sub is actually staffed to hit next week's pour, resolving a design conflict in the field, and being the person the owner and the safety inspector hold responsible. Licensure is uneven (general contractor licenses in many states, CCM voluntary), so the shield is real but partial.

10-year outlook: Headcount holds roughly flat as scheduling and documentation staff shrink around a smaller number of field-accountable managers running more square footage each.

US employment, 2019–2025+29.6%
293,380380,360 workers

Headcount grew steadily across the period.

Median pay $95,260 → $114,990 -3.4% in real terms (nominal +20.7%, less ~25% US inflation over the period)

The job count is not the verdict

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

+8.7%

Percentage only. The projection counts a different population from the 380,360 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.

Growing, and only partly exposed

The BLS expects +8.7% more of these jobs by 2034, and at 65/100 the work is only partly exposed — some tasks are automatable, the core of the job is not. Nothing here is in tension.

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.

~46,800 openings a year on average, including replacing people who leave.

One email if this score changes. Watch as many occupations as you like from the same address — no account, and nothing is sent on a schedule, only when a verdict actually moves.

Also known as — 24 job titles this covers

Titles reported by people doing this work, from the US Department of Labor's O*NET survey. If your job title is here, this page is about your work even though the name doesn't match.

Site ManagerSuperintendentConcrete ForemanStreet SupervisorJob SuperintendentProject CoordinatorConstruction ForemanConstruction ManagerConstruction DirectorGeneral SuperintendentProject SuperintendentConstruction CoordinatorCommercial SuperintendentConstruction Area ManagerElectrical SuperintendentMultifamily SuperintendentConstruction SuperintendentConstruction Project ManagerConstruction Services ManagerEnergy Efficient Site ManagerRailroad Construction DirectorBridges and Buildings SupervisorUtility Division Project ManagerWeatherization Operations Manager

Score — 65/100 resistance

Holding it up: judgment & accountability (16/20). Weakest point: liability shield (9/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 12 + 15 + 9 + 13 + 16 = 65. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 12/20

Mixed — a routine tier and a judgment tier Critical-path resequencing after a rain delay, three-week lookahead pull planning with foremen, and punchlist walkthroughs still need someone on site making calls, but earned-value reports, pay application backup, submittal logs, and RFI first drafts are already generated from Procore/Autodesk data — roughly half the week's hours, which is why this sits at 12 rather than 16.

Embodiment 15/20

Hands-on in uncontrolled environments You are in the field most days — climbing scaffold to verify rebar placement before a pour, walking the deck to see whether the drywall sub actually has eight bodies or three, standing in a trench box during a utility conflict — in weather, on active heavy-equipment sites; the 15 rather than 18 reflects that the trailer and preconstruction phases are genuinely desk-bound.

Liability shield 9/20

Certification preferred, not legally required Many states require a general contractor or B-license for the entity and some (Florida, Nevada) tie it to a named qualifying agent who is personally exposed, but the CM on a project run by a licensed GC often holds no license of their own and CCM is voluntary — that split is what puts it at 9 instead of 14.

Trust premium 13/20

The human relationship is the product Owners and developers rehire specific CMs by name, and your ability to get a concrete sub to move a crew for you next Tuesday rests on years of paying them on time; it stops short of 17 because on public bid work the low number wins and the CM is assigned, not chosen.

Judgment & accountability 16/20

Exists to be accountable for ambiguous calls You decide whether to accept a nonconforming pour or break it out, whether conditions justify stopping work under OSHA 1926, and how to allocate float when the steel is three weeks late — calls made on incomplete information where being wrong costs seven figures or someone's life, and your name is on the daily report and the change order.

The verdict on this page is contested. We scored this occupation twice, independently, and the two runs disagreed: 65/100 — EXPOSED and 67/100 — SAFE. Combining them doesn't settle it — the answer changes depending on how the halfway points are rounded, which is a property of our arithmetic and not of the job. Rather than pick the side that suits us, we've left the original verdict in place and flagged it. Read the dimension scores below and the reasoning attached to each; on this page they carry the information, and the one-word label does not.

Confidence: high · reviewed 2026-08-11 · how scoring works · 2 deployment reports on file

What this job involves — and which parts are yours

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.

AI already does these at usable quality

These still need a person

Active moats on the surviving side: embodiment, judgment, trust

How to future-proof this job

Where to go deeper on what this job runs on: Coursera — decision making under uncertainty free to audit · Coursera — people management and team leadership specialisations free to audit · Coursera — active listening and communication skills free to audit · Coursera — critical thinking and logic, audit free free to audit · Coursera — project coordination and cross-team delivery free to audit · MIT OpenCourseWare — problem-solving and analytical method courses free

All 35 skills ranked by how many jobs they open →

Where this experience transfers — nothing clears the bar

No occupation passed every test: close enough to construction managers on skills and subject matter, at least 10 points more resistant, no big jump in training, no new licence, no pay cut, and not shrinking on its own. That happens for 223 of the 654 occupations here that aren't SAFE, and it is worth stating plainly rather than leaving the section off.

The usual reason is that exposure travels with the skill profile. The jobs most similar to yours tend to be exposed for the same reasons yours is, so the near neighbours don't clear the gap — and the ones that do are a different kind of work, not a transfer of what you already know. Read that as a limit of this method, not a verdict that you're stuck: it only compares whole occupations, and it cannot see specialisation, industry, or anything you'd bring that isn't in a federal skill survey.

Here is that claim on your own job rather than in the abstract. These are the three occupations closest to this one by skill and subject matter — the places the work would most naturally transfer — with what the register scores them:

Industrial Production Managers EXPOSED 52/100 (-13) · 84% overlap
Architects, Except Landscape and Naval EXPOSED 61/100 (-4) · 81% overlap
Facilities Managers EXPOSED 54/100 (-11) · 80% overlap

That is the whole problem in three lines. The nearest work is not meaningfully safer, so there is no move here that trades a similar skill set for a better verdict. This is not us running out of ideas — it is what the neighbourhood looks like.

What would move this occupation up is the other direction, and on this page it's the more useful one.

What would move this back up — beyond any one person

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 76/100 — SAFE.

4 specific changes that would raise this score
  • already happening task resistance +3

    Task-mix shift: if vendor tools (Procore, Autodesk, Buildots/OpenSpace) absorb submittal logs, RFI drafting, progress photo reporting and cost coding, the residual day is field conflict resolution, sub staffing judgment, and change-order negotiation — the tier current models cannot do without a body and authority on site.

  • already happening liability shield +2

    Surety and builder's-risk insurers conditioning bonding capacity on a credentialed human (CCM, PMP, or state-licensed GC) attesting to the CPM schedule and pay applications — bond underwriting already scrutinizes named project staff on public bids.

  • plausible liability shield +4

    State contractor licensing boards or public-works statutes requiring a named licensed general contractor / qualifying individual to personally sign and be liable for schedule baselines, delay claims and safety plans on public projects — an extension of existing 'qualifying party' rules (e.g. Arizona ROC, California CSLB) to explicitly cover AI-generated schedules and cost reports. Also OSHA multi-employer citation policy naming a specific competent person for AI-flagged hazards.

  • plausible judgment accountability +2

    Prime contract terms and project labor agreements naming a single on-site superintendent/CM with stop-work authority and sole authority to accept design deviations — already standard in AIA A201 and many union PLAs; broader adoption of explicit 'no AI-generated approval of field changes' clauses would harden it.

The limit. Judgment_accountability is already near ceiling at 16 and embodiment is structurally capped — the realistic headroom is the liability shield, and it is bounded because licensure attaches to the firm's qualifying party, not to every CM. A large fraction of these 380k workers are assistant/project-level managers whose licensed superior signs; automation of the routine tier compresses that lower rung regardless of what happens at the top.

These are conditions, not forecasts — what would have to happen, not what will. Specific rules, cases and bills are named so you can go and check whether they exist and where they stand; verify before relying on any of them. Nothing here is legal or financial advice.

Where this work is, and what it pays there

BLS metro figures for 379 areas. The verdict above does not change by city — the rubric judges what the work involves, not where it happens — but pay and headcount do, and the national median hides a very wide range.

Most of these jobs

Dallas-Fort Worth-Arlington, TX 17,110 $103,550 -10%
Houston-Pasadena-The Woodlands, TX 16,500 $103,530 -10%
Chicago-Naperville-Elgin, IL-IN 13,850 $117,280 +2%
New York-Newark-Jersey City, NY-NJ 12,120 $158,000 +37%
Los Angeles-Long Beach-Anaheim, CA 10,120 $131,680 +15%
Phoenix-Mesa-Chandler, AZ 8,170 $118,350 +3%
Boston-Cambridge-Newton, MA-NH 7,570 $156,470 +36%
Atlanta-Sandy Springs-Roswell, GA 7,470 $119,590 +4%

Best paid

San Francisco-Oakland-Fremont, CA 5,160 $166,030 +44%
San Jose-Sunnyvale-Santa Clara, CA 1,850 $163,040 +42%
Mount Vernon-Anacortes, WA 110 $159,860 +39%

Percentages are against this occupation's national median of $114,990. Counts are jobs in that metro, not vacancies. Metros where the BLS suppressed the cell are absent rather than shown as zero.

Who is actually doing this

The score above is about what the work exposes. This is reporting about real deployments in this occupation — the difference between "could be automated" and "somebody automated it."

Auburn University

2 of 2 reported cases, with sources

Quick take — do you do this job?

Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.

Self-reported and unverified — a sentiment signal, not a survey. One response per person per occupation; you can change your answer.

Field reports — what people say has changed

No field reports yet. A written account takes a paragraph rather than a tap, goes to an editor before it appears, and is the one thing on this page the rubric cannot produce on its own.

File a field report

Concrete beats general: a tool that arrived, a task that moved, a headcount decision you watched happen. Don't include anything that identifies you or your employer if that would put you at risk.

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Kept current

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