EXPOSED
Mixing, proofing, shaping, scoring, and judging oven color and crumb by hand and eye are not text-or-screen tasks, so language AI barely touches the core of the job. The real pressure is older and mechanical: industrial dough lines, automatic dividers, and par-baked frozen product already replaced most volume baking, and in-store bake-off means many 'baker' roles now amount to loading trays on a timer. Retail and craft bakers who decorate to order, develop recipes, and manage fermentation by feel keep the most durable ground.
Dipped in 2020, then grew past where it started.
Median pay $27,700 → $37,160 +7.3% 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
+5.6% 249,100 → 263,200 on the projections basis
Growing, and only partly exposed
The BLS expects +5.6% more of these jobs by 2034, and at 50/100 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.
~39,900 openings a year on average, including replacing people who leave.
BakerMixerPannerScalerSpongerPie BakerPie MakerPan DumperPan PullerBagel MakerBread BakerDonut MakerDough MakerDough MixerNight BakerOven DumperPastry ChefPastry CookRoll PannerStore BakerBakery ClerkPastry BakerSponge MakerSponge Setter
Holding it up: embodiment . Weakest point: liability shield .
Tasks largely resist digitisation Shaping a batard, judging when a bulk ferment is ready by how the dough slackens under your hand, scoring loaves, and pulling on color rather than on a timer are physical judgments that no text model performs — the 15 rather than 18 reflects that scaling, portioning, and depositing are already done by dividers and depositors in most commercial shops.
Hands-on in uncontrolled environments You work a 3 a.m. shift on your feet in flour dust and 450°F radiant heat, hauling 50 lb flour sacks, loading deck and rack ovens, and hand-finishing product — the 17 not 20 because it's your own bakery floor, not an unpredictable outdoor or client-site environment.
No licence, no signature requirement No licence stands between you and the job: a ServSafe or state food-handler card is a class and a fee, the health inspection lands on the owner's permit, and anyone can be hired on the bench with no credential at all.
Meaningful discretion You adjust hydration and proof times for humidity, decide whether a batch is scrapped, and improvise on a custom order, but formulas, bake schedules, and specs are written down and the consequences of a bad call are wasted flour rather than injury or legal exposure.
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 (15/20 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 (3/20) is whether the law requires a licensed human to sign. Trust premium (8/20) is whether buyers specifically pay for a person. Judgment and accountability (7/20) 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 18 of this occupation's 50 points (36%).
Embodiment (17/20) 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 64/100, still EXPOSED.
Continued growth of the named-baker model — CSA-style bread subscriptions, farmers-market microbakeries, single-origin/heritage-grain sourdough — where the buyer is paying for a specific person's fermentation style, not a category of bread. Already visible in US craft bakery growth and in Bread Bakers Guild of America certification signaling.
Task-mix shift as bake-off consumes the routine tier: if in-store thaw-and-bake absorbs remaining volume roles, the surviving 'baker' job concentrates into levain management, hydration adjustment for flour lot and ambient humidity, new product development, and custom decorating — the tier that resists both robotics and language models. This raises measured resistance for the remaining jobs while cutting headcount.
Enforceable labeling that separates scratch-baked from thaw-and-serve at point of sale — e.g. a state or municipal ordinance requiring bake-off/par-baked product to be disclosed on the menu board, analogous to France's 2015 'boulangerie' law reserving the term for on-site kneading and baking. Where consumers can see the difference, the wage premium for hand production becomes legible rather than invisible.
Formal ownership of food-safety and allergen calls at the production level — if FDA allergen cross-contact enforcement or a chain's insurer requires a named certified production lead to sign off on allergen segregation and gluten-free claim validation (gluten-free labeling is already an FDA-regulated claim with testing thresholds), the head baker role acquires a consequential, attributable call.
The limit. Realistic ceiling is roughly the low 60s, and it applies to a shrinking subset. The threat to bakers is not language models but a fifty-year-old supply chain: par-baked frozen product moves the skilled work to a distant industrial plant. Institutional levers (labeling laws, allergen accountability) can protect the craft segment's wage premium but cannot restore the volume roles already gone, and no licensing route exists.
| New York-Newark-Jersey City, NY-NJ | 16,560 | $38,890 +5% |
| Los Angeles-Long Beach-Anaheim, CA | 10,580 | $39,260 +6% |
| Chicago-Naperville-Elgin, IL-IN | 9,920 | $37,230 +0% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 5,740 | $38,650 +4% |
| Dallas-Fort Worth-Arlington, TX | 5,160 | $34,350 -8% |
| San Francisco-Oakland-Fremont, CA | 4,820 | $46,600 +25% |
| Atlanta-Sandy Springs-Roswell, GA | 4,760 | $37,140 +0% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 4,410 | $37,770 +2% |
| Chambersburg, PA | 200 | $48,640 +31% |
| Seattle-Tacoma-Bellevue, WA | 3,560 | $48,180 +30% |
| Urban Honolulu, HI | 1,090 | $47,150 +27% |
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 50. 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.