"AI Was an Easy Scapegoat" — Anthony Salcito, Coursera

Coursera's Anthony Salcito on AI as a layoff excuse, and who pays to train graduates. In August 2026 the Work Foundation found that 36 per cent of UK employers had cut entry-level roles for 16- to 24-year-olds in the past year. Those first jobs are where people learn the work. Somebody still has to turn graduates into professionals, or in ten years there won't be any. So I asked the person who runs the part of Coursera that sells training to employers. Anthony Salcito once ran Microsoft's worldwide education business, and he opens with a confession: his job was to push technology into schools, and he learned to tell them they were not ready. IN THIS CONVERSATION Why some of the layoffs blamed on AI were cuts for profit. In his words, "AI was an easy scapegoat". Why the entry-level jobs still exist but are harder to walk into cold, and why nobody gets a year to learn on the job any more. Deloitte's finding that 43 per cent of leaders feel highly prepared on technology and only 20 per cent on talent. In his reading, firms are putting the wrong thing first. The University of Reading test in which 94 per cent of AI-written exam answers went undetected, and what that does to written work as proof of a skill. Seat time: why sitting through three hours on something you have already mastered proves nothing, and why the test should come first. Who pays for the first five years. His answer is all of the above: employers, governments, universities and the learners themselves. Then he called it on the record. Within two years, he says, nobody will talk about "AI skills" as a separate thing; they will have folded into digital literacy, and skills will need refreshing every year. That puts the test at October 2028. Written down, with a date. This is the show that calls its predictions in writing. CHAPTERS (00:00:00) From Microsoft schools to Coursera (00:03:37) What tech changed in schools (00:06:49) Too big, too fast, a gamer's lesson (00:13:42) What's happening to junior hiring (00:22:05) Tech first, people last (00:25:53) Was AI just the excuse for layoffs (00:32:55) The novice paradox (00:37:23) Why AI training courses fail (00:42:36) No year to learn on the job (00:47:33) When AI sits the exam (00:51:46) Project Helix, prove the skill (00:59:20) Who is paying for training now (01:05:32) Who pays for the first five years (01:12:17) The prediction LINKS Full conversation on YouTube: https://youtu.be/VIDEO\_ID The Control Layer, free on Substack: https://thecontrollayer.arkava.ai Arkava: https://arkava.ai Coursera: https://www.coursera.org Anthony Salcito: https://www.linkedin.com/in/anthonysalcito/ Hosted by Amer Altaf, Founder and CEO of Arkava and Managing Editor of The Control Layer. Views expressed by guests are their own. Produced by a real person, assisted by AI tools, with every claim checked. SOURCES AND CORRECTIONS Figures on screen: Work Foundation and Survation, 26 August 2026; Boston Consulting Group, AI at Scale; Deloitte, State of AI in the Enterprise, January 2026; Brynjolfsson, Li and Raymond, Quarterly Journal of Economics, 2025; Brynjolfsson, Chandar and Chen, Stanford Digital Economy Lab, August 2026; Scarfe et al., PLOS ONE, June 2024; Coursera's Global Skills Report 2026, Project Helix release and Q2 2026 results; Department for Education, Employer Skills Survey 2024. For the record: Boston Consulting Group's 10-20-70 is its rule for AI programmes rather than a study: 10 per cent algorithms, 20 per cent tech and data, 70 per cent people and processes. The report Anthony calls the job skills report is Coursera's Global Skills Report 2026, and its index is the AI-Human Skills Synergy Index. The Turing test comes from Alan Turing's 1950 paper and is a conversation by text.