Will AI replace bioengineers and biomedical engineers?
A little.
This job scores 68 out of 100 onStill needs a humanOur headline score for each job, from 0 to 100. Higher is safer: AI can do less of the work, or does it less well.It combines how much of the job AI can do with how well AI does it compared with a qualified person, and it is always shown beside those answers.How the score works (higher is safer). Today AI could do about 10% of the work by itself, people do 40% with AI’s help, and 50% still needs a person.
No two jobs leave the same print
Every job gets its own fingerprint, drawn from its code. The amber ridges are the share of task time that still needs a person. Below them, the same ridges are written out in ones and zeros: slate for the work AI helps with, white for the work AI can do.
What AI can and cannot do
The tasks that make up the job, from O*NET, and where AI stands on each today. 50% of the task time still needs a human.
Is it better than a person? The evidence
No direct test against people in this job yet. Every study is graded A to D, and vendor studies are labelled as such.
Could be largely automated 2036–2049
80% of scenarios between 2036 and 2049. A range from our scenario model of capability, adoption and friction, not a forecast that the job ends.
How this job could shift, year by year
We run this job as ten scenarios spread across its replacement range. In each, the score moves towards the bottom band (Largely: AI could largely do the job) by the year that scenario reaches it, slowly at first and faster later, as adoption usually goes. Each bar splits the ten by the band they put the job in. The model stops at 2060. How the timeline works
Show the data
| Year | Largely | Mostly | Partly | A little | Nah |
|---|---|---|---|---|---|
| Today (2026) | 0.0% | 0.0% | 0.0% | 100.0% | 0.0% |
| 2030 | 0.0% | 0.0% | 60.0% | 40.0% | 0.0% |
| 2035 | 20.0% | 40.0% | 40.0% | 0.0% | 0.0% |
| 2040 | 60.0% | 40.0% | 0.0% | 0.0% | 0.0% |
| 2045 | 90.0% | 10.0% | 0.0% | 0.0% | 0.0% |
| 2050 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 2055 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 2060 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
What’s stopping AI taking over?
The things that keep this work with people, strongest first. Each is scored 0 to 100 from O*NET work context, licensing and the evidence we have.
What would it cost to hand the work to AI?
The share of the year AI could handle (701 of 2,080 hours a year), priced two ways. Both are ranges, not quotes.
Robots and humanoids
AI software can only take the work at a screen. The rest needs a robot that can do it.
Source: Anthropic Economic Index, 'What work can robots do?' (30 September 2026); O*NET 31.0 task weights.
Which AI skills does this job lean on?
The job’s task time split by what an AI model would need to be good at, and where models stand today.
Still needs a human: 68/100↑ safer
The amber matter on the outside holds its orbit: that is the task time that still needs a person. The slate matter circling the inner disc is the work AI helps with. The white matter is the share AI can do; it spirals in and is gone over the edge.
People are asking
How often people ask whether AI will replace this job: on Google, and by estimate, in AI assistants.
In the US
In the UK
Source: DataForSEO, US and UK, fetched October 3, 2026. Google figures are Google Ads’ rounded monthly averages. The AI figure is DataForSEO’s estimate from Google’s “People also ask” data, not a count from any AI assistant. UK workers are ONS employment figures matched to this job, so the UK rate per 1,000 is an estimate. Search figures are not part of our open dataset.
What the AIs say
We asked four AI assistants the same question: will AI replace this job in the next 10 years? One word (Yes, Partly or No), then one sentence. Our own answer, from the data: Still needs a human: 68/100 ↑ safer. Will AI replace them? A little.
AI will automate and augment some biomedical engineering tasks, but human engineers will still be needed for design, validation, ethics, regulation, and clinical collaboration.
gpt-5.5-2026-04-23 · asked 2026-10-03Biomedical engineering requires hands-on design, regulatory judgment, clinical collaboration, and hardware/device expertise that AI can augment but not fully replace within a decade.
claude-sonnet-5 · asked 2026-10-03While AI will automate routine data analysis and design simulations, it cannot replace the complex physical engineering, biological lab experimentation, and ethical oversight provided by biomedical engineers.
gemini-3.8-flash · asked 2026-10-03AI will automate routine biomedical-engineering tasks and reshape the profession, but human expertise will remain essential for design judgment, validation, regulation, and patient safety.
sonar · asked 2026-10-03Cite this page
NeedsAHuman.com (2026). Will AI replace Bioengineers and Biomedical Engineers? A little. Still needs a human: 68/100, higher is safer; release 2026-Q4. https://needsahuman.com/jobs/bioengineers-and-biomedical-engineers/ (accessed 3 October 2026).
Scores change with each ReleaseA dated edition of all our scores, such as 2026-Q4. Scores can change from one release to the next, so cite the release.What changed in each release, so cite the release. The data is open under CC BY 4.0A free license: anyone may reuse and republish the data, even commercially, as long as they credit the source with a link.Our scores are open under it; so is O*NET.Download the open data: credit NeedsAHuman.com with a link. Open data · Press
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Sources
- Tasks and work context: O*NETThe US government’s free database of about 1,000 jobs, listing each job’s tasks and how much each one matters.Run for the US Department of Labor. Every score here starts from its task lists (version 31.0).onetcenter.org 31.0, US Department of Labor (USDOL/ETA)The US government department for work and workers. Its Employment and Training Administration (ETA) pays for O*NET.dol.gov (CC BY 4.0A free license: anyone may reuse and republish the data, even commercially, as long as they credit the source with a link.Our scores are open under it; so is O*NET.Download the open data).
- Jobs, pay and projections: US BLSThe Bureau of Labor Statistics: the US government’s official source for how many people do each job, what they earn, and job outlook.bls.gov, OEWSOccupational Employment and Wage Statistics: the government survey that counts how many people do each job, and their pay, by state.Run by the Bureau of Labor Statistics. and Employment ProjectionsThe Bureau of Labor Statistics’ official ten-year outlook for each job, now 2025 to 2035: expected growth or decline, and openings each year. 2025–35.
- How AI is used today: Anthropic Economic IndexData published by Anthropic, the company that makes the Claude AI assistant, on which work tasks people actually use Claude for.It shows where AI is used today, not only where it could be. Its robot data also caps hands-on tasks.anthropic.com; Microsoft Research, Microsoft “Working with AI”A Microsoft Research study of real conversations with its Copilot assistant, showing which kinds of work people use AI for..
- What AI can do: our task ratings (RubricOur published checklist for rating what AI can do on each task, from “no meaningful part” to “the whole task, at a qualified worker’s standard.”An AI model applies it to every task; the levels are T0 to T3.Read the rubric r1) and the quality evidence register.
- UK names and employment: ONSThe Office for National Statistics, the UK government’s official statistics body. Our UK job and pay figures come from it.ons.gov.uk UK SOC 2020The UK’s official job codes, such as 2421 for chartered and certified accountants. We match each job to its closest UK codes. coding index and Annual Population SurveyA large UK household survey by the ONS, used to estimate how many people in the UK do each job..
How each score is built: methodology. Every figure on this page: open data. Release 2026-Q4.