# Mo Gawdat Advises Job Seekers on Human Skills in AI Era > Source: > Published: 2026-06-03 00:20:17.285116+00:00 # Mo Gawdat Advises Job Seekers on Human Skills in AI Era Business Insider reports that former Google executive Mo Gawdat told Steven Bartlett on his podcast that he predicts **30%** of certain job sectors "will be gone by 2028." Business Insider quotes Gawdat advising people to "learn the tool and focus on human-centric jobs" and to "double down on human skills," citing examples such as nursing and counseling. Business Insider also notes other tech figures have emphasised traits that are harder to automate, including communication, relationship-building, and human judgment, citing comments from OpenAI president Greg Brockman, Duolingo CEO Luis von Ahn, and Salesforce's CEO. The piece is framed as career advice for workers entering an era of rapid AI adoption. ### What happened Business Insider reports that former Google chief business officer **Mo Gawdat** said on Steven Bartlett's podcast that he predicts **30%** of certain job sectors "will be gone by 2028." Business Insider quotes Gawdat advising listeners to "learn the tool and focus on human-centric jobs" and to "double down on human skills," and it records his example roles such as being a nurse or a counselor. Business Insider also reports related remarks from other tech leaders, and cites **OpenAI** president **Greg Brockman**, **Duolingo** CEO **Luis von Ahn**, and **Salesforce**'s CEO about the continued value of communication, relationship-building, and human judgment. ### Editorial analysis - technical context Observed patterns in the labor-market discussion about automation show recurring emphasis on skills that require empathy, contextual judgement, and long-form social interaction. For practitioners, that often translates into roles where human-in-the-loop workflows, client relationships, and domain expertise remain central because current AI systems struggle with trust, moral judgement, and sustained human rapport. ### Industry context Industry commentary from executives and former executives frequently blends macro forecasts with career advice, which shapes public expectations and hiring discourse. Reporting like Business Insider's reinforces a common narrative in 2026 debates on workforce disruption: quantifiable displacement estimates attract attention, while the recommended mitigation is emphasis on non-automatable human skills. ### What to watch Indicators an observer should track include employer job-posting requirements for interpersonal skills, the growth of reskilling programs emphasising counseling or care work, and adoption metrics for AI automation in white-collar workflows. Also watch for empirical studies or government data that corroborate or contradict displacement estimates such as the **30%** figure attributed to Gawdat. ## Scoring Rationale The story is primarily career advice and commentary rather than new research or product release, so it is moderately relevant to practitioners evaluating workforce and hiring implications. It may influence hiring conversations and reskilling programs but does not present new empirical evidence. Practice with real Ad Tech data 90 SQL & Python problems · 15 industry datasets [Active Search Campaigns by BudgetEasy](/problems/sql/active-search-campaigns-by-budget) [High CPC Clicks & Poor Landing PagesMedium](/problems/sql/high-cpc-clicks-poor-landing-page) [Campaign ROAS by Attribution ModelHard](/problems/sql/campaign-roas-by-attribution-model) 250 free problems · No credit card [See all Ad Tech problems](/problems/datasets/adtech)