COOKED
The modal help desk role is ticket triage, password and access resets, walking users through known fixes, and writing up knowledge-base articles — all text-and-screen work that chatbots plus automated provisioning already handle at acceptable quality, and ticket volume per agent has been falling for years. What holds is the deskside tier: physically imaging and swapping laptops, chasing docking stations and printers, and sitting with the executive or the frustrated user who will not self-serve. No license protects the job and the accountability sits with IT management, not the technician.
Headcount grew steadily across the period.
Median pay $52,270 → $61,860 -5.3% 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
-3.7% 729,500 → 702,500 on the projections basis
Exposed, and shrinking
Both signals point the same way: the tasks are largely automatable and the BLS projects -3.7% by 2034. This is the case where the score and the forecast agree, and it is the one worth taking seriously.
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.
~40,800 openings a year on average, including replacing people who leave.
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Holding it up: embodiment . Weakest point: liability shield .
Core tasks are already automatable Password resets, MFA re-enrollment, mailbox permission changes, VPN client reinstalls and Tier-1 triage against a documented runbook are exactly the pattern-matched, text-in/text-out steps that self-service portals and LLM agents in the ticketing system now close without a human touching the queue — a 6 rather than a 2 only because Tier-2 escalation work like reproducing an intermittent Outlook profile corruption or an obscure line-of-business app conflict still needs someone poking around a live machine.
Some physical or field component A real fraction of the week is racking a replacement laptop, imaging it via PXE, running cable to a new desk, clearing a paper jam, or standing in a conference room fixing the HDMI/Teams Room panel before a meeting starts — that is hands-on work, but it happens in offices and wiring closets on known hardware, not in the weather or on a factory floor, which caps it at 10 rather than the high teens.
No licence, no signature requirement There is no state licence to hold: A+, ITIL or Microsoft certs are hiring filters that any employer can waive, and when a bad change deletes a user's mail store the exposure runs to the company and the IT manager who approved the process, not to the tech who executed the ticket — hence a 1, not a 5.
Executes defined procedures on defined inputs The decisions are bounded by the runbook, the SLA clock and the escalation matrix: you choose whether to reimage or repair, whether to escalate to networking or to the app owner, but you don't authorise the spend, approve the access, or own the outage postmortem — that discretion is real enough to keep it off the floor and narrow enough to keep it at 6.
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 (6/20 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 (1/20) is whether the law requires a licensed human to sign. Trust premium (7/20) is whether buyers specifically pay for a person. Judgment and accountability (6/20) 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 14 of this occupation's 30 points (47%).
Embodiment (10/20) 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 46/100 — EXPOSED.
If enterprises keep pushing device refresh cycles and hardware-attestation-based zero-trust (e.g. TPM enrollment, FIDO2 hardware key issuance requiring in-person identity proofing per NIST SP 800-63 IAL2), the residual job becomes physical asset handling and in-person identity verification that no remote agent can do
If tier-1 password resets and known-fix walkthroughs are fully absorbed by chatbots and self-service provisioning, the remaining ticket mix is undocumented multi-system failures, OT/lab equipment, and escalation triage — a genuine two-tier occupation where the surviving tier is diagnostic judgment. Watch headcount ratios of deskside to remote agents in large employers
If support staff are formally designated as first responders in incident-response plans under SEC cyber disclosure rules or state breach-notification law — i.e. the technician's call on whether a ticket is a security incident starts the notification clock — the role owns a consequential ambiguous decision
Only in the white-glove executive-support and MSP-retainer segment, where clients contract for a named onsite person rather than a pooled queue. Watch for SLA language specifying a dedicated named technician. This does not generalize to the mass help desk
Narrow route only: if cyber-insurance policies or HIPAA/CMMC audit requirements begin naming a credentialed individual (e.g. CompTIA/vendor-certified admin) who must attest that endpoint remediation and access changes were performed and reviewed, some personal attestation attaches. Certifications today carry no personal liability, so this is weak
The limit. Realistic ceiling is around 45-50. There is no licensing body, no signature requirement, and buyers of bulk IT support have spent two decades explicitly optimizing for lowest cost per ticket — the opposite of a trust premium. Gains concentrate in the deskside and identity-proofing tier, which is a minority of current headcount, so the occupation can become more resistant per worker while employing far fewer workers.
| New York-Newark-Jersey City, NY-NJ | 36,580 | $75,690 +22% |
| Dallas-Fort Worth-Arlington, TX | 22,600 | $60,710 -2% |
| Los Angeles-Long Beach-Anaheim, CA | 20,660 | $75,070 +21% |
| Chicago-Naperville-Elgin, IL-IN | 19,680 | $60,730 -2% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 18,510 | $77,860 +26% |
| Atlanta-Sandy Springs-Roswell, GA | 15,980 | $62,110 +0% |
| Seattle-Tacoma-Bellevue, WA | 15,030 | $78,330 +27% |
| Phoenix-Mesa-Chandler, AZ | 14,310 | $62,310 +1% |
| Sacramento-Roseville-Folsom, CA | 13,820 | $106,040 +71% |
| San Jose-Sunnyvale-Santa Clara, CA | 5,790 | $93,590 +51% |
| Carson City, NV | 560 | $93,560 +51% |
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