What jobs will humanoid robots take from me?
Two numbers frame the honest answer, and the distance between them is measured in years, not months.
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Two numbers frame an honest answer. Morgan Stanley's model projects 62.7 million US jobs affected by humanoid robots — its cumulative count of workers substituted by 2050, across 831 occupations. Morgan Stanley stresses this is not a forecast that 62.7 million people go jobless. As of mid-2026 the most commercially deployed humanoid in the Western world, Agility Robotics' Digit, has an installed base estimated at roughly 75 to 100 units, and Agility doesn't publish an exact figure.
Both numbers are real. The distance between them is the story, and it is measured in years, not months.
Today and the forecast, on one axis
A linear scale can't hold both ends of this subject. Placed side by side, today's verified fleet would occupy less than one eight-hundred-thousandth of the bar. Here is the same range on a logarithmic axis, where every step to the right is a tenfold increase.
Find your occupation
Morgan Stanley scored all 831 US civilian occupations for “humanoidability”: how much of the work is physical, repetitive, dangerous, or hard to staff. The scores roll up into the 22 standard occupation groups below. Bar length is the total workforce in a group; the filled portion is the share the model treats as substitutable. Select any row.
| Occupation group | US workforce | Substitutable share | Adoption tier |
|---|---|---|---|
| Construction & Extraction | 6.2m | 70% | Tier 1 (from 2028) |
| Production | 8.8m | 68% | Tier 1 (from 2028) |
| Farming, Fishing & Forestry | 0.4m | 67% | Tier 1 (from 2028) |
| Building & Grounds Cleaning | 4.4m | 67% | Tier 1 (from 2028) |
| Installation, Maintenance & Repair | 6.0m | 66% | Tier 1 (from 2028) |
| Healthcare Support | 7.1m | 66% | Tier 1 (from 2028) |
| Food Preparation & Serving | 13.2m | 64% | Tier 1 (from 2028) |
| Personal Care & Service | 3.0m | 61% | Tier 1 (from 2028) |
| Protective Service | 3.5m | 58% | Tier 2 (from 2036) |
| Transportation & Material Moving | 13.8m | 55% | Tier 2 (from 2036) |
| Sales & Related | 13.4m | 44% | Tier 2 (from 2036) |
| Healthcare Practitioners & Technical | 9.3m | 41% | Tier 2 (from 2036) |
| Life, Physical & Social Science | 1.4m | 39% | Tier 2 (from 2036) |
| Architecture & Engineering | 2.5m | 33% | Tier 2 (from 2036) |
| Educational Instruction & Libraries | 8.7m | 33% | Tier 2 (from 2036) |
| Office & Administrative Support | 18.5m | 24% | Tier 3 (from 2040) |
| Management | 10.5m | 12% | Tier 3 (from 2040) |
| Arts, Design, Entertainment & Media | 2.1m | 11% | Tier 3 (from 2040) |
| Business & Financial Operations | 10.1m | 6% | Tier 3 (from 2040) |
| Legal | 1.2m | 2% | Tier 3 (from 2040) |
| Community & Social Service | 2.4m | 1% | Tier 3 (from 2040) |
| Computer & Mathematical | 5.2m | 0% | Not modelled |
The order of arrival
The model doesn't run everything at once. Physical, low-credential work is substituted first and takes about a decade to build momentum. Office and professional work isn't touched until the 2040s.
The number that actually decides it
No job is automated because a robot can do it. It's automated when the payback period clears a finance committee. That calculation is the real timer on every occupation above, and it rewards high wages, long shifts, and structured tasks. Move the inputs to see where your own workplace lands.
The model assumes 300 operating days a year, maintenance at 12% of purchase price annually, integration at 20% of purchase price, and a robot operating cost near $2 an hour (Roland Berger, April 2026). It's the shape of the curve that matters, not the decimal.
The forecasters do not agree
Anyone quoting a single number for 2035 is quoting one bank. Published estimates for that year span more than an order of magnitude, because they count different things: units shipped in a year, units in service, or the total addressable market.
| Source | 2035 estimate | What it counts |
|---|---|---|
| Goldman Sachs | 1.4 million | Units shipped in the year 2035 |
| Morgan Stanley | 13 million | Units in service by 2035 |
| Bank of America | 10 million / year | Units shipping annually by 2035 |
What is verified right now
Against those projections, this is the counted, company-reported state of play in mid-2026.
| Figure | What it is |
|---|---|
| ~75–100 | Estimated global installed base of Agility's Digit, the most commercially deployed Western humanoid. Agility doesn't disclose an exact count. |
| 65,000+ hrs | Operating hours Digit has logged across nine customer facilities, including GXO, Schaeffler and Toyota Canada. |
| up to ~40 | Figure 03 units reported at BMW Spartanburg in 2026. BMW and Figure haven't confirmed a count; estimates run 10 to 40, following an 11-month Figure 02 pilot retired at the end of 2025. |
| 5,500 | Humanoid units Unitree shipped in 2025, an estimated more than every Western maker combined, at up to a tenth of the price of Western industrial humanoids. |
| 78% | Task-completion rate for AgiBot's GO-1 after training on a million trajectories. Unsupervised industrial work generally needs 95% or more. |
| 1–4 hrs | Battery life under active use. A full unsupervised shift is not yet a solved problem. |
| Zero | Layoffs publicly attributed to humanoid robots as of mid-2026. Current deployments fill vacancies and offset turnover. |
| None | Published Optimus production count from Tesla. Widely circulated unit figures don't originate with the companies they describe. |
For the wider economic picture, from displacement versus job creation to sector shifts and wages, see the economic impact of humanoid robots on the job market. For where humanoids are actually deployed today, across manufacturing, logistics and offices, see humanoid robots in the workplace.
Sources and method
Occupation scoring, tiering, the adoption curve and the payback analysis come from Morgan Stanley, Humanoids: Investment Implications of Embodied AI (June 2024), with the 2035 and 2050 fleet figures from its A $5 Trillion Global Market note (April 2025). The 2035 spread also draws on Goldman Sachs (about $38bn TAM and 1.4m shipments by 2035) and Bank of America Global Research (about 10m units shipping annually by 2035).
Deployment counts are company disclosures from Agility Robotics, Figure AI, Unitree and BMW, mid-2026, with a Technology.org deployment review from July 2026. The $2-an-hour operating cost is Roland Berger's Humanoid Robots 2026 (April 2026); payback ranges are from IDTechEx's Humanoid Robots 2026–2036 (May 2026). Task-level framing follows the ILO exposure index and the World Economic Forum's Future of Jobs 2025. Exposure percentages are modelled estimates of technical substitutability, not forecasts of unemployment.
Compare on RoboZaps: Digit, Figure 03, Unitree G1, Tesla Optimus Gen 3 and Figure 02. Full specifications and a quote route for each, alongside every humanoid robot we carry.
Robots in this review
Unitree G1
Unitree Robotics
- Deployment
- Paid Deployment
Tesla Optimus Gen 3
Tesla
- Deployment
- Announced
Frequently asked questions
- Will humanoid robots take my job in 2026?
- Almost certainly not. The verified Western fleet in mid-2026 is in the low hundreds of machines, battery life is 1 to 4 hours, and no layoffs have been publicly attributed to humanoids. Substitution is a decade-plus story, not a this-year one.
- Which jobs are most exposed?
- Physical, repetitive, hard-to-staff work: construction, production, warehousing, cleaning and food prep score highest in Morgan Stanley's model and are modelled to be substituted first, from around 2028. Management, legal and computing score lowest.
- Does the 62.7 million figure mean 62.7 million people will lose their jobs?
- No. It is Morgan Stanley's cumulative modelled count of US jobs substituted by 2050, and Morgan Stanley states it does not imply that many people will be jobless. The model doesn't account for humanoids expanding existing industries or creating new ones.
- What decides whether a role actually gets automated?
- The payback period. A robot is bought when its all-in cost (purchase, integration, maintenance and operating) pays back against the labour it displaces fast enough to clear a finance committee, which favours high wages, long shifts and structured tasks.
Sources & references
- Humanoids: Investment Implications of Embodied AI Morgan Stanley · Morgan Stanley
- Humanoid Robot Market Expected to Reach $5 Trillion by 2050 Morgan Stanley · Morgan Stanley
- The market for humanoid robots could reach $38 billion by 2035 Goldman Sachs · Goldman Sachs
- Humanoid Robots 101 (Physical AI) Bank of America · Bank of America Institute
- Humanoid Robots 2026: The Convergence Moment Roland Berger · Roland Berger
- Humanoid Robots 2026-2036 IDTechEx · IDTechEx
- Generative AI and Jobs: A Refined Global Index of Occupational Exposure (Working Paper 140) ILO · International Labour Organization
- The Future of Jobs Report 2025 World Economic Forum · World Economic Forum