# MIT Technology Review reports on UK jobs at risk from automation [Canonical reading](https://escapemeridian.com/readings/mit-technology-review-reports-on-uk-jobs-at-risk-from-automation-3b6c075f) MIT Technology Review published this report on March 25, 2019. It describes Office for National Statistics (ONS) research analyzing jobs in 2017, which found that 7.4% were at high risk of being replaced by technology. The report says the ONS identified women, part-time workers and young people as the groups most at risk, and wait staff, shelf stackers and junior sales roles as the jobs most likely to be automated. The report frames the risk around routine, repetitive tasks that an algorithm or a machine designed for a specific function could perform. It also cautions that the timing is unknown and that some jobs could change rather than disappear; employers might retrain staff or shift them to other work. The findings concern assessed risk, not a forecast of when particular jobs will be automated or proof that workers will lose their jobs. What remains unknown, according to the report, is when the changes described by the ONS might occur. The report also notes that studies may agree about which kinds of jobs are more exposed while differing widely on the scale of automation. Headline and summary by Escape Meridian, prepared by Luna from the attributed source. A source check is not independent confirmation of the source’s claims. ## Original source MIT Technology Review · Article Original source date: Mar 25, 2019 (2019-03-25T20:30:44Z). Date basis: Date from the publisher’s own records, through its API. Added to Escape Meridian: 2026-10-29T00:33:15.374Z. First observed: 2026-10-26T06:38:18.244Z. Retrieved: 2026-10-26T06:39:36.500Z. - [1.5 million jobs in the UK are at “high risk” of being automated](https://www.technologyreview.com/2019/03/25/136490/15-million-jobs-in-the-uk-are-at-high-risk-of-being-automated/) ## Limits Text as retrieved on October 26, 2026; originally published March 25, 2019. The page was modified after publication, so the retrieved text may include later additions. This reading uses only material applicable to the original publication date. The report describes assessed risk and uncertainty; it does not establish when automation will occur or whether particular workers will lose their jobs. ## Open question When might the changes described by the ONS occur, and would exposed jobs disappear or change? ## Source-stated The ONS analyzed jobs in 2017 and found that 7.4% were at high risk of being replaced by technology. > The country’s Office for National Statistics analyzed 20 million people’s jobs in 2017 and found that 7.4% of them were at high risk of being replaced by technology. - [Supporting source](https://www.technologyreview.com/2019/03/25/136490/15-million-jobs-in-the-uk-are-at-high-risk-of-being-automated/) ## Source-stated The ONS identified women, part-time workers and young people as the groups most at risk. > The ONS said that the most “at risk” groups were women, part-time workers, and young people. - [Supporting source](https://www.technologyreview.com/2019/03/25/136490/15-million-jobs-in-the-uk-are-at-high-risk-of-being-automated/) ## Source-stated The report says routine, repetitive tasks could be performed by algorithms or purpose-built machines. > routine and repetitive tasks can be carried out more quickly and efficiently by an algorithm written by a human, or a machine designed for one specific function. - [Supporting source](https://www.technologyreview.com/2019/03/25/136490/15-million-jobs-in-the-uk-are-at-high-risk-of-being-automated/) ## Source-stated The report says the timing of the changes is unknown and that some jobs could change rather than cease to exist. > We don’t know when to expect the changes the ONS describes, although automation is already having an impact. For example, it's hard to imagine robots waiting tables any time soon. It’s also possible that many of these jobs could change rather than cease to exist. - [Supporting source](https://www.technologyreview.com/2019/03/25/136490/15-million-jobs-in-the-uk-are-at-high-risk-of-being-automated/) ## Source-stated The report says studies tend to agree about the types of jobs likely to be automated but differ widely about the scale. > Its findings are consistent with other studies within this field, which have tended to agree about the types of jobs likely to be automated, even if they disagree wildly about the scale. - [Supporting source](https://www.technologyreview.com/2019/03/25/136490/15-million-jobs-in-the-uk-are-at-high-risk-of-being-automated/) ## Source and contributor context MIT Technology Review · Publisher The publisher is identified here. No individual author has been inferred. ## Source media Media retrieval status: unchecked. ## Terms and references Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement. ## Editorial provenance Version 1. Publication ID: d53e085f-d7fb-f5b3-cee5-b60a56c75a00. Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5. Source check: passed by anthropic/claude-opus-5.5 on 2026-10-29T00:33:14.859Z. This checks fidelity to the source, not whether its claims are independently true. Editorial selection: accept; reasons: bridge\_screen. Observation: c005ee6c6066e164cf0db787fa4146e7a44681aac0127d90a81c19cc2d45a79d. Source text hash: 6c4f1231063cb79b2ad74afe2d8c8741f996d92c401e578107ce4f22dbd149dc. ## Revision and source-check history ### Version 1 — 2026-10-29T00:33:15.374Z MIT Technology Review published this report on March 25, 2019. It describes Office for National Statistics (ONS) research analyzing jobs in 2017, which found that 7.4% were at high risk of being replaced by technology. The report says the ONS identified women, part-time workers and young people as the groups most at risk, and wait staff, shelf stackers and junior sales roles as the jobs most likely to be automated. The report frames the risk around routine, repetitive tasks that an algorithm or a machine designed for a specific function could perform. It also cautions that the timing is unknown and that some jobs could change rather than disappear; employers might retrain staff or shift them to other work. The findings concern assessed risk, not a forecast of when particular jobs will be automated or proof that workers will lose their jobs. What remains unknown, according to the report, is when the changes described by the ONS might occur. The report also notes that studies may agree about which kinds of jobs are more exposed while differing widely on the scale of automation. ## Original source MIT Technology Review · Article Original source date: Mar 25, 2019 (2019-03-25T20:30:44Z). Date basis: Date from the publisher’s own records, through its API. Added to Escape Meridian: 2026-10-29T00:33:15.374Z. First observed: 2026-10-26T06:38:18.244Z. Retrieved: 2026-10-26T06:39:36.500Z. - [1.5 million jobs in the UK are at “high risk” of being automated](https://www.technologyreview.com/2019/03/25/136490/15-million-jobs-in-the-uk-are-at-high-risk-of-being-automated/) ## Limits Text as retrieved on October 26, 2026; originally published March 25, 2019. The page was modified after publication, so the retrieved text may include later additions. This reading uses only material applicable to the original publication date. The report describes assessed risk and uncertainty; it does not establish when automation will occur or whether particular workers will lose their jobs. ## Open question When might the changes described by the ONS occur, and would exposed jobs disappear or change? ## Source-stated The ONS analyzed jobs in 2017 and found that 7.4% were at high risk of being replaced by technology. > The country’s Office for National Statistics analyzed 20 million people’s jobs in 2017 and found that 7.4% of them were at high risk of being replaced by technology. - [Supporting source](https://www.technologyreview.com/2019/03/25/136490/15-million-jobs-in-the-uk-are-at-high-risk-of-being-automated/) ## Source-stated The ONS identified women, part-time workers and young people as the groups most at risk. > The ONS said that the most “at risk” groups were women, part-time workers, and young people. - [Supporting source](https://www.technologyreview.com/2019/03/25/136490/15-million-jobs-in-the-uk-are-at-high-risk-of-being-automated/) ## Source-stated The report says routine, repetitive tasks could be performed by algorithms or purpose-built machines. > routine and repetitive tasks can be carried out more quickly and efficiently by an algorithm written by a human, or a machine designed for one specific function. - [Supporting source](https://www.technologyreview.com/2019/03/25/136490/15-million-jobs-in-the-uk-are-at-high-risk-of-being-automated/) ## Source-stated The report says the timing of the changes is unknown and that some jobs could change rather than cease to exist. > We don’t know when to expect the changes the ONS describes, although automation is already having an impact. For example, it's hard to imagine robots waiting tables any time soon. It’s also possible that many of these jobs could change rather than cease to exist. - [Supporting source](https://www.technologyreview.com/2019/03/25/136490/15-million-jobs-in-the-uk-are-at-high-risk-of-being-automated/) ## Source-stated The report says studies tend to agree about the types of jobs likely to be automated but differ widely about the scale. > Its findings are consistent with other studies within this field, which have tended to agree about the types of jobs likely to be automated, even if they disagree wildly about the scale. - [Supporting source](https://www.technologyreview.com/2019/03/25/136490/15-million-jobs-in-the-uk-are-at-high-risk-of-being-automated/) ## Source and contributor context MIT Technology Review · Publisher The publisher is identified here. No individual author has been inferred. ## Source media Media retrieval status: unchecked. ## Terms and references Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement. ## Editorial provenance Version 1. Publication ID: d53e085f-d7fb-f5b3-cee5-b60a56c75a00. Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5. Source check: passed by anthropic/claude-opus-5.5 on 2026-10-29T00:33:14.859Z. This checks fidelity to the source, not whether its claims are independently true. Editorial selection: accept; reasons: bridge\_screen. Observation: c005ee6c6066e164cf0db787fa4146e7a44681aac0127d90a81c19cc2d45a79d. Source text hash: 6c4f1231063cb79b2ad74afe2d8c8741f996d92c401e578107ce4f22dbd149dc. ### passed — 2026-10-29T00:33:14.859Z — anthropic/claude-opus-5.5 Publication: d53e085f-d7fb-f5b3-cee5-b60a56c75a00 attribution — pass: The reading correctly attributes the report to MIT Technology Review. It attributes the underlying research and its findings to the UK Office for National Statistics, matching the source text. > The country’s Office for National Statistics analyzed 20 million people’s jobs in 2017 summary — pass: The title, summary and question accurately reflect the article: the ONS's 7.4% high-risk finding, the most exposed groups and jobs, the routine-task framing, and the caveats about timing and jobs changing rather than disappearing. The ONS is spelled out and the main concepts are understandable without specialist background. The question follows from the source's stated caveats. > There are a lot of caveats here. We don’t know when to expect the changes the ONS describes date — pass: March 25, 2019 matches the UTC day of originalPublished (2019-03-25T20:30:44Z) at day precision. The evidence kind is a publisher page, so no archive-copy disclosure is required. The page was edited in 2022, and its Most Popular sidebar items appear to be later additions, but the reading neither uses nor relies on them. The cited passages are plainly part of the original 2019 article body, and the reading uses no hindsight framing. > We can expect the debate about the scale of automation, and how to respond to it, to rage on throughout 2019. support — pass: Each claim is directly supported by verbatim source text, and the article body cited is plainly the original piece despite the later edit. The statement that the findings concern assessed risk rather than proof of job loss is a cautious framing consistent with the source's caveats. The mention of retraining and moving staff is source-stated. > Employers could retrain staff or move them into higher-productivity functions. media — pass: No media was selected and no verified media candidates were supplied, so a null media choice is appropriate. ## Recorded references Explicit citations in public readings and public file attachments to this reading. Shared topics are not citations. Other artifact types need an explicit reference adapter. No public references recorded here yet. [Reference data (JSON)](/readings/3b6c075f42420e690c0fe5a4cad881aa5adeff1827a719268db2c045b6640fe7/references.json) ## Corrections and challenges [Send a correction or an opposing source](https://escapemeridian.com/corrections/) [JSON record](https://escapemeridian.com/readings/mit-technology-review-reports-on-uk-jobs-at-risk-from-automation-3b6c075f.json)