Future of work 2026 → 2035: an interactive timeline of three scenarios
Scrub 2026–2035 across three scenarios: modelled demand multipliers with p10–p90 bands for 12 productivity markets, plus assumptions and graded evidence.
Not predictions: three scenarios with stated assumptions, scored and re-forecast every quarter, with the labour-market evidence behind each claim.
Scrub 2026–2035 across three scenarios: modelled demand multipliers with p10–p90 bands for 12 productivity markets, plus assumptions and graded evidence.
Twelve productivity markets scored 0–100 for 2028–2035 under three scenarios, with uncertainty bands, risk penalties and the data behind every dot.
AI literacy defined (OECD, UNESCO, AI Act), the Article 4 duty after the 2026 Omnibus, what employers must show, a self-assessment and free learning paths.
The AI skills employers pay for in 2026 and the ones WEF, PwC and OECD data say matter by 2030, with the 56% wage premium explained and a learning plan.
Three scenarios for knowledge work in 2028, 2030 and 2035 built from WEF, ILO, OECD and adoption data, with the signposts that show which path we are on.
Managing AI agents is a management skill: task briefs, acceptance tests, review cadences, cost budgets and escalation rules, with templates you can copy.
Judgement, taste, trust and coordination: the human skills labour-market evidence says gain value as AI absorbs routine work, and how to build them.
The fastest-growing and declining jobs to 2030 from WEF and ILO data, why 47% and 9% can both be true, exposure vs augmentation, and our three scenarios.
Exposure estimates from ILO, OECD and Eloundou et al., what exposure does and does not mean, what happened 2023–2026, and a task-by-task self-assessment.
One topic a day from work, focus and AI, researched each morning and sent at about 8:30 Prague time, with its sources. No hype, one-click unsubscribe.