It is grading how you talk, not what you say. How fast you speak. How long you pause. The words you pick. Whether you sound sure of yourself. It used to grade your face too. The ACLU got that part stopped in 2021 after deaf candidates kept failing.
WORKFORCE
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AI-Driven Recruitment Systems and Automated Candidate Screening
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Nearly every Fortune 500 uses one of these systems. Your resume gets less than 10 seconds. If it survives, you get sent a video interview to record alone. HireVue, VidCruiter, others. An AI grades the recording. No human watches unless the AI says you passed.
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Study Finds AI Hiring Tools Systematically Reject Qualified Candidates
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Harvard and Accenture asked 2,250 executives across the US, UK, and Germany if their own hiring software was rejecting qualified people. 88% said yes. For middle-skill roles it was 94%. The companies running these tools know they are broken.
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How AI recruitment algorithms evaluate and rank job applicants
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An AI rejected your last job application before a human saw it. There is a 70% chance no human ever will. HireVue ran 20 million one-way interviews in 3 months. Workday is in court for race and age bias. Here is what the AI actually grades and how to beat it:
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How AI is transforming design workflows and business speed
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For years, design speed depended on: → Who knew the tool
→ Who had brand context
→ Who could translate strategy into visuals
→ Who had time to iterate AI changes that workflow. Now the first draft can happen in seconds, not days. That is a massive unlock for business -
East Coast consensus contrasts with West Coast rapid automation vision
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I think that is the East Coast consensus, generally: jaggedness + the complexity of actual organizations + social constraints mean that even true ASI is less abruptly transformative than the West Coast vision of massive rapid automation as soon as AI capabilities get good enough
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Curing cancer easier than replacing Accenture, AI labs predict 2035 job loss
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I think it is a reasonable argument to say "curing cancer will be easier than replacing Accenture," but the general pitch from many at the AI labs has been "we are worried most white collar jobs will be replaced by 2035" which implies some belief that AI becomes self-adopting.
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True Superintelligence: Infer or Bypass Tacit Knowledge?
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A true superintelligence should be able to infer or elicit tacit/contextual knowledge? Or route around it? Otherwise AI installations are still held back by Hayek, Coase, Weber, etc.: human constraints navigated by humans. Mediated adoption, not the "all jobs transformed" pitch
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AI labs’ ASI belief signaled by disbanding consulting, jobs safe
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You will know that the AI labs believe in ASI when they disband their newly formed consulting (sorry “forward deployed engineering”) groups. As long as people are required to figure out how AI is useful & do organizational change & systems integration, jobs seem to be pretty safe
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Challenges in Enterprise AI Adoption and Employee Usage
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I know CEO-level top down tokenmaxxing is considered dumb, but what are they to do when they've exhausted 'the good way' – you got everyone licenses, did AI workshops, appointed AI champions, did AI hackathons – then you check back and adoption is 25%, of which 80% is tab