# MIT Technology Review reports Tyson's concerns about AI and job quality [Canonical reading](https://escapemeridian.com/readings/mit-technology-review-reports-tyson-s-concerns-about-ai-and-job-3643fd71) MIT Technology Review published this article on March 28, 2018. It reports economist Laura Tyson's view that AI and automation are not likely to cause vast unemployment, while arguing that the quality and location of new jobs deserve attention. Tyson points to past automation's effects on routine work and middle-skill, middle-income jobs, including manufacturing. She says new jobs may arise in different parts of the country from places where automation has reduced employment, raising concerns about income inequality and regional frustration. Tyson also says the pace of change is faster than during earlier technological shifts and asks whether workers can be retrained and who would pay. The article does not identify a retraining approach or who would fund it. 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 28, 2018 (2018-03-28T01:00:00Z). Date basis: Date from the publisher’s own records, through its API. Added to Escape Meridian: 2026-10-29T00:23:58.839Z. First observed: 2026-10-26T09:57:55.853Z. Retrieved: 2026-10-26T09:59:36.334Z. - [AI is rapidly changing the types and location of the best-paying jobs](https://www.technologyreview.com/2018/03/28/144244/ai-is-rapidly-changing-the-types-and-location-of-the-best-paying-jobs/) ## Limits Text as retrieved on 2026-10-26; originally published 2018-03-28T01:00:00Z. The publisher page is marked as edited after publication, so the retrieved text may include later changes; the evidence does not identify which passages, if any, were added. ## Open question What retraining approaches could help workers affected by automation, and who would pay for them? ## Source-stated The article reports Laura Tyson's view that AI and automation are unlikely to cause vast unemployment, while she is concerned about the quality and location of jobs created. > Artificial intelligence and automation are not likely to cause vast unemployment, but that doesn’t mean we shouldn’t be concerned about the impact on jobs. - [Supporting source](https://www.technologyreview.com/2018/03/28/144244/ai-is-rapidly-changing-the-types-and-location-of-the-best-paying-jobs/) ## Source-stated Tyson says automation may reduce employment in some places while new jobs arise elsewhere, and asks whether workers can be retrained and who will pay. > those new jobs might not be in the same parts of the country in which employment has been decreased by automation. - [Supporting source](https://www.technologyreview.com/2018/03/28/144244/ai-is-rapidly-changing-the-types-and-location-of-the-best-paying-jobs/) ## 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: 48ec2639-3db4-4ed0-aed9-1310302b6e3e. Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5. Source check: passed by anthropic/claude-opus-5.5 on 2026-10-29T00:22:41.971Z. This checks fidelity to the source, not whether its claims are independently true. Editorial selection: accept; reasons: bridge\_screen. Observation: b9cf966cdc22f4612472258d04829b0e781ef4ca4d227096a40cb886c5649bd4. Source text hash: df88770849944572401204d0f3f03a012a24364c57efc3801dc8e1fc11416208. ## Revision and source-check history ### Version 1 — 2026-10-29T00:23:58.839Z MIT Technology Review published this article on March 28, 2018. It reports economist Laura Tyson's view that AI and automation are not likely to cause vast unemployment, while arguing that the quality and location of new jobs deserve attention. Tyson points to past automation's effects on routine work and middle-skill, middle-income jobs, including manufacturing. She says new jobs may arise in different parts of the country from places where automation has reduced employment, raising concerns about income inequality and regional frustration. Tyson also says the pace of change is faster than during earlier technological shifts and asks whether workers can be retrained and who would pay. The article does not identify a retraining approach or who would fund it. ## Original source MIT Technology Review · Article Original source date: Mar 28, 2018 (2018-03-28T01:00:00Z). Date basis: Date from the publisher’s own records, through its API. Added to Escape Meridian: 2026-10-29T00:23:58.839Z. First observed: 2026-10-26T09:57:55.853Z. Retrieved: 2026-10-26T09:59:36.334Z. - [AI is rapidly changing the types and location of the best-paying jobs](https://www.technologyreview.com/2018/03/28/144244/ai-is-rapidly-changing-the-types-and-location-of-the-best-paying-jobs/) ## Limits Text as retrieved on 2026-10-26; originally published 2018-03-28T01:00:00Z. The publisher page is marked as edited after publication, so the retrieved text may include later changes; the evidence does not identify which passages, if any, were added. ## Open question What retraining approaches could help workers affected by automation, and who would pay for them? ## Source-stated The article reports Laura Tyson's view that AI and automation are unlikely to cause vast unemployment, while she is concerned about the quality and location of jobs created. > Artificial intelligence and automation are not likely to cause vast unemployment, but that doesn’t mean we shouldn’t be concerned about the impact on jobs. - [Supporting source](https://www.technologyreview.com/2018/03/28/144244/ai-is-rapidly-changing-the-types-and-location-of-the-best-paying-jobs/) ## Source-stated Tyson says automation may reduce employment in some places while new jobs arise elsewhere, and asks whether workers can be retrained and who will pay. > those new jobs might not be in the same parts of the country in which employment has been decreased by automation. - [Supporting source](https://www.technologyreview.com/2018/03/28/144244/ai-is-rapidly-changing-the-types-and-location-of-the-best-paying-jobs/) ## 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: 48ec2639-3db4-4ed0-aed9-1310302b6e3e. Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5. Source check: passed by anthropic/claude-opus-5.5 on 2026-10-29T00:22:41.971Z. This checks fidelity to the source, not whether its claims are independently true. Editorial selection: accept; reasons: bridge\_screen. Observation: b9cf966cdc22f4612472258d04829b0e781ef4ca4d227096a40cb886c5649bd4. Source text hash: df88770849944572401204d0f3f03a012a24364c57efc3801dc8e1fc11416208. ### passed — 2026-10-29T00:22:41.971Z — anthropic/claude-opus-5.5 Publication: 48ec2639-3db4-4ed0-aed9-1310302b6e3e attribution — pass: The reading correctly attributes the article to MIT Technology Review and the views to economist Laura Tyson of UC Berkeley's Haas School of Business, speaking at EmTech Digital. The framing that AI is unlikely to cause vast unemployment matches Tyson's direct quote. > “I’m not worried about technological unemployment,” said Laura Tyson, a prominent economist at the Haas School of Business at the University of California, Berkeley. summary — pass: The summary is readable without specialist background. It identifies the actor and explains her concern about the quality and location of jobs rather than unemployment. It also covers routine and middle-skill job losses, regional mismatch, inequality, the faster pace of change and her open questions about retraining. The question follows directly from Tyson's unresolved questions. > Can we come up with a way to retrain workers? And, she asked, who will pay for that retraining? date — pass: The date March 28, 2018 matches the UTC day of originalPublished. The page is marked as edited after publication, but the cited passages are the article body and plainly part of the original piece. The Most Popular sidebar contains later items, such as the AlphaGo ten-year piece, but the reading neither uses nor relies on them. There is no hindsight framing. The kind is publisher-page, so no archive disclosure is needed. > Speaking this week at EmTech Digital, an annual AI conference organized by MIT Technology Review support — pass: Both claims and the summary statements are directly supported by the article body, including the regional mismatch, Midwest frustrations, inequality, the faster pace of change and the retraining questions. The note that the article does not identify a retraining approach or funder is accurate. No unsupported benefits or costs are implied. > And that has created frustrations and concerns in many parts of the US, including the Midwest. media — pass: No media was selected, and no verified media candidates were supplied, so selecting none 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/3643fd71d1385980ef0fc5b5c73848a2987978ff3f002dbbfbe09e589ce41a21/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-tyson-s-concerns-about-ai-and-job-3643fd71.json)