EXPOSED
The narration layer of this job — researching history, writing scripts, building itineraries, answering trip logistics questions — is already handled well by chatbots and self-guided audio/AR apps, and that substitution is real for budget travelers. What survives is the part a phone can't do: physically leading a group through a crowded market or a trail, reading who's about to faint or wander off, resequencing the day when a site closes or weather turns, and being the accountable adult when something goes wrong. Licensure exists only in a handful of cities and a few wilderness/permit contexts, so the regulatory moat is thin at the national median.
Dipped in 2020, then grew past where it started.
Median pay $27,600 → $38,120 +10.5% 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
+8.1% 55,800 → 60,300 on the projections basis
Growing, and only partly exposed
The BLS expects +8.1% more of these jobs by 2034, and at 63/100 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.
~13,000 openings a year on average, including replacing people who leave.
PageGuideDocentEscortPresenterPark GuideRaft GuideTour GuideDuck DriverEvent GuideKayak GuidePlant GuideRiver GuideTour EscortTrail GuideAlpine GuideCruise AgentCruise GuideHunter GuideMuseum GuideTour ManagerTravel GuideDude WranglerFishing Guide
Holding it up: embodiment . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier At 13 the scripted-narration half of the day is genuinely substitutable by an audio app, but the other half — counting heads at the gate, physically pacing a group up a trail or through a bazaar, handling a lost passport at 9pm — has no digital version, which is why it sits at the top of the mixed band rather than in the resistant one.
Hands-on in uncontrolled environments An 18 reflects that the workplace is the outdoors and other people's cities: cobblestones, altitude, boat decks, heat, transit strikes, and 20 strangers of varying fitness, none of which you control and all of which you must walk through yourself.
Certification preferred, not legally required A 5 rather than a 0 recognises that some markets do gate the work — NYC and New Orleans licensing, National Park Service CUAs, state outfitter permits, WFR/WFA cards for backcountry trips — but the typical city walking or museum guide is hired on audition and enthusiasm with no credential a competitor can be barred for lacking.
Meaningful discretion 11 covers the calls you actually make — abort the summit, pull someone off the hike, reroute when the site is closed, decide whether the ill guest goes to a clinic — real discretion under time pressure, but bounded by the operator's itinerary, emergency protocol, and a manager reachable by phone, which is what keeps it below the level of someone who owns the outcome alone.
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 (5/20) is whether the law requires a licensed human to sign. Trust premium (16/20) is whether buyers specifically pay for a person. Judgment and accountability (11/20) 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 32 of this occupation's 63 points (51%).
Embodiment (18/20) 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.
No occupation passed every test: close enough to tour and travel guides 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.
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 — SAFE.
Task-mix shift, no law needed: as narration and logistics Q&A move to apps, what remains is group safety triage, evacuation calls, weather/permit resequencing, and incident command — the decisions with real consequence. Formal recognition of this via mandatory incident-reporting regimes for licensed outfitters (as NPS river permits already require) makes the accountability explicit and personal.
Insurer-driven rather than statutory: tour operator liability carriers (e.g. Redpoint, Lockton adventure programs) requiring a named certified guide with WFR/SWR and documented ratio compliance as a condition of coverage, and cruise lines / OTAs requiring proof of same for shore excursion vendors. This is already a de facto condition in adventure travel and could extend to general escorted tours.
Genuine two-tier structure: if the scripted-narration tier is fully absorbed by AR/audio apps, the remaining role is judgment-tier crowd management, medical triage, and cross-cultural negotiation with local vendors and officials, which raises the resistance of the residual job even as headcount falls. Watch for job postings shifting titles toward 'trip leader' / 'expedition leader' with WFR prerequisites rather than 'guide'.
Expansion of permit-holder rules that already require a named, certified human guide-of-record: NPS commercial use authorizations and USFS outfitter-guide permits (Grand Canyon river, Denali, Zion canyoneering) plus state wilderness/whitewater guide licensing (Alaska, Maine, New York DEC guide license, Colorado river outfitter). If more high-traffic jurisdictions adopt Maine/NY-style mandatory guide licensing with WFR certification and personal liability for client safety, or if city guide licensure (New Orleans, Charleston, Savannah, Washington DC-style before Edwards v. DC) is revived and upheld, the shield thickens materially for the licensed tier.
Continued bifurcation where the audio-app tier absorbs budget demand and the surviving paid tier is explicitly sold as human-led: small-group premium operators (Intrepid, Backroads, Context Travel-style docent model) marketing named expert guides with credentials as the product. Verified-human certification marks from professional bodies (WFTGA, ITMI, national tourist-guide associations) becoming a purchase filter on booking platforms would make the premium legible rather than assumed.
The limit. Headcount is the risk that scores cannot capture: the same forces that raise per-worker resistance (licensure, adventure/wilderness concentration, premium human-led tiers) shrink the occupation toward its high-certification end. Embodiment at 18 is already near ceiling and cannot rise. The urban step-on/city-walking-tour median has no realistic route to a thick shield — First Amendment challenges (Edwards v. District of Columbia, Kagan v. City of New Orleans) have struck down guide licensing as speech regulation, which caps liability_shield for the narration-centric segment specifically.
| Los Angeles-Long Beach-Anaheim, CA | 2,360 | $42,870 +12% |
| New York-Newark-Jersey City, NY-NJ | 2,180 | $45,610 +20% |
| Phoenix-Mesa-Chandler, AZ | 1,330 | — |
| Boston-Cambridge-Newton, MA-NH | 1,290 | $38,440 +1% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 1,280 | $46,130 +21% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 1,060 | $34,290 -10% |
| San Francisco-Oakland-Fremont, CA | 970 | $52,480 +38% |
| St. Louis, MO-IL | 950 | $31,980 -16% |
| Seattle-Tacoma-Bellevue, WA | 870 | $63,630 +67% |
| San Jose-Sunnyvale-Santa Clara, CA | 640 | $59,330 +56% |
| Bremerton-Silverdale-Port Orchard, WA | 30 | $55,870 +47% |
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 63. 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.