The Future of Work in the Age of AI Transformation, Trust and Skills
summary
Panel presents concrete findings and practices: a Workday survey shows an AI trust gap (many employees distrust employer choices), OECD analysis raises jobs at high automation risk from ~14% toward ~20–28% with only ~17–27% of tasks fully automatable, and PwC cites 6–25% salary uplifts for AI-capable workers. Examples: visual quality inspection and generative-AI co‑pilots that boost junior productivity, algorithmic HR and scheduling that harm autonomy, a TU Dublin–Workday upskilling pilot with ~200 micro‑credential learners, and mention of the recently adopted EU AI Act.
AI-written summary · about
chapters (11)
- 0:00Introduction
- 3:08AI workplace transformation
- 7:30AI workplace history
- 12:27AI in education research
- 15:18AI ethics and trust gaps
- 21:36Public sector AI trust
- 29:01Future skills demand
- 38:34Upskilling social policy
- 49:14Training and generative AI
- 1:04:10AI ethics in legal professions
- 1:15:32AI literacy sustainability
related talks
26mLeadership in Times of AI
28mBuilding an AI-Ready Workforce
18mThe Digital Transformation of Work through AI
33mAI at Work with James Poulter
15mThe Future of Skills: Qualifications in the Age of AI
45mPanel: Rethinking Skills and Work in the Age of AI
28mAI, The Missing Middle And The Future Of Work
16mThe Future Workforce: Synergies between AI and Human Expertise