Theme of inquiry
How does AI adoption affect labor markets, workforce skills, and organizational development strategy?
A question within its area, explored through 9 lines of inquiry below — each a family of specific questions the research asks.
64 specific questions
- Does AI assistance help people learn skills or just delegate the task?
- Does AI assistance erode skill development over time among professionals?
- Does AI assistance transfer learning gains to independent tasks without scaffolding?
- Does constraining AI access during early task phases preserve skill formation?
- Does AI assistance improve worker learning on the job?
- Does outsourcing tasks to AI reduce opportunities for skill development?
- How should professional training programs adapt to AI-assisted work environments?
63 specific questions
- Do workplace users want one autonomy setting or per-action control?
- What task characteristics determine whether humans or agents should handle work?
- Can worker preference serve as a legitimate axis for delegation design?
- Does using autonomous AI agents erode human capacity to oversee them?
- What task characteristics determine whether delegation can succeed?
- How does treating AI as an agent affect user autonomy and decision-making?
- Why do skilled workers struggle to fully delegate tasks to AI agents?
51 specific questions
- How do manager behaviors shape whether workers become frontier AI practitioners?
- Can peer learning and AI champions substitute for direct manager coaching?
- Does AI adoption push knowledge work away from communication toward solo tool use?
- How does self-reported culture sentiment differ from observable behavior changes during AI adoption?
- Does AI adoption narrow knowledge work toward solo documentation or spread broadly?
- How much does platform design influence AI adoption rates?
- Why does AI adoption shift knowledge work toward individual documentation focus?
40 specific questions
- Why do experienced developers benefit more from AI coding assistance?
- Does AI coding assistance help junior developers close skill gaps?
- Does AI-assisted coding actually speed up experienced developers?
- Do AI coding tools improve code quality alongside task speed?
- Does AI help more on small greenfield projects than mature codebases?
- Why do developer self-reports of AI speedups tend to be unreliable?
- Does high-level design work benefit differently from AI than routine coding tasks?
61 specific questions
- Can overreliance on AI tools gradually erode worker skill and judgment?
- Does accumulating AI assistance erode cognitive skills over time in workers?
- How does AI assistance change people's perception of their own competence?
- Does reduced cognitive effort during AI-assisted tasks explain lower knowledge retention?
- How does perceived agency in AI affect attributions about user competence?
- How does AI assistance affect human cognitive development over time?
- How does opaque AI processing distort users' perception of their contribution?
47 specific questions
- Does interaction time with AI systems displace time spent on active task work?
- Does receiving AI output shift workers' time away from their own productive tasks?
- How much can self-reported AI use tell us about actual productivity changes?
- Do AI tools save total time or just shift work between different activities?
- Can self-reported productivity surveys measure AI's real workplace impact?
- Why do most organizations lack reliable data on AI's actual impact on productivity?
- Do employees spend freed AI time on better work or just more tasks?
52 specific questions
- Are reduced hires or worker departures driving the AI-exposed occupation shortfall?
- Does the gap in AI-exposed occupations reflect lower pay or fewer jobs?
- How does concentrated AI exposure across workers affect firm-level employment demand?
- Do firms with high AI exposure shed jobs or reshape roles?
- Does task-level AI exposure predict which jobs will be rehired versus eliminated?
- Why do some AI-affected occupations see earnings fall while others don't?
- How do skills demanded in AI-exposed occupations differ from other sectors?
39 specific questions
- Can employers tell when applicants use generative AI tools?
- Do candidates prefer being screened by AI or by humans?
- Do job candidates prefer or want to be screened by AI systems?
- What counts as AI deception in job applications versus legitimate use?
- Would human recruiters supervised by AI show similar self-preference patterns?
- Do institutional records like reviews substitute for written job applications?
- Can AI-written applications carry effort signals that real ability still produces?
65 specific questions
- Does deploying AI uniformly across task types increase or decrease workplace inequality?
- Do scope gains from AI create job instability despite higher output?
- How does concentration of AI capability across firms affect labor market outcomes?
- Does AI assistance reduce effort differently for novice versus expert workers?
- Do gains from AI assistance disappear when workers complete tasks alone?
- Does AI adoption rise or fall as worker education and wages increase?
- How does uneven access to AI tools shape who benefits from productivity gains?