Work in the AGI Era: Pillar Overview
An overview of how knowledge work, automation, new roles, and organisational design are evolving as AGI-class systems enter the workplace.
Executive summary
The future of work in the AGI era is one of restructuring, not pure displacement. Tasks are being redistributed between humans and AI within roles; some roles shrink and new ones emerge; organisations are redesigning around human-AI teams. The pace varies widely across sectors. Practical preparation matters more than predicting exact timelines.
Key concepts
- Task-level vs role-level automation
- Human-AI teams
- New roles
- Organisational design
- Wages and inequality
Task-level, not role-level
Most roles are bundles of tasks. AGI-class systems are absorbing some tasks within most knowledge roles, leaving others. The IMF and others estimate ~40% of jobs in advanced economies have meaningful AI exposure, but exposure is not the same as displacement.
Human-AI teams as the default unit
Studies of customer-support, consulting, software, and law find consistent productivity gains for human-AI teams over either alone — typically 20–60% on bounded tasks, with the largest gains for less-experienced workers. The default working unit is becoming a person plus their tools.
New roles
Every major automation wave has produced new categories of work. The AGI wave is producing AI-augmented specialists, AI-system overseers, AI-product builders, prompt and evaluation engineers, and trust-and-safety roles. Most of these did not exist five years ago.
Organisational design
Organisations that adapt are restructuring around smaller, more capable teams using AI heavily. Those that simply layer AI onto unchanged structures see smaller gains and bigger frictions.
Key takeaways
- 01Automation is mostly task-level, not role-level.
- 02Human-AI teams outperform either alone in most settings.
- 03New role categories are emerging fast.
- 04Organisational redesign is where the largest gains come from.
- 05Distributional effects (who benefits) depend on policy and ownership choices.
Frequently asked questions
Will AGI cause mass unemployment?
The most credible recent assessments expect significant role restructuring, not mass unemployment. The risks concentrate in specific occupations and demographic groups.
Who benefits most from AI at work?
Studies consistently find less-experienced workers gain the most in absolute terms, narrowing performance gaps within teams.
What should I do as an individual?
Become genuinely fluent with current AI tools, build adjacent skills, and develop the judgment and relationship work that remains human.
Further reading
Related hubs
What changes for analysts, lawyers, engineers, designers, and other knowledge workers as AGI absorbs an increasing share of their tasks.
Why AGI's effect on different jobs is uneven, the shape of typical automation curves, and what sectors are reshaping first.
The categories of work that did not exist five years ago and are becoming significant — AI engineers, evaluators, prompt designers, AI safety roles, and more.
How organisations that capture the full productivity gains of AGI redesign teams, processes, and roles — not just layer AI on top.