SUPER AI GUY · INTERACTIVE AI LAB
AI Work Timeline
Explore a possible path from 2026 to 2040. Move through the years, compare industries, and change the assumptions to see how the picture shifts.
A tool for asking better questions about AI and work. The future is uncertain; this chart makes its example assumptions visible.
AI LAB · SCENARIO EXPLORER
Move through the scenario.
Illustrative assumptions, not a verified forecast. The percentages and years come from the supplied example. They are not measured industry adoption, job-loss rates or evidence of what will happen. How the curve works.
ILLUSTRATIVE CHAPTER 2026–2028
Digital workflows
In this example, change starts with repeatable software and content tasks. Real adoption still depends on reliability, cost, skills and human review.
Planning questionEvaluate repeatable digital tasks
Example task automation share
0–100% scenario scaleTech & software engineering
50%
Human contribution to considerArchitecture, judgment & accountability
Media & creative work
65%
Human contribution to considerCreative direction, taste & relationships
Cybersecurity operations
30%
Human contribution to considerRisk decisions, adversarial judgment & response
Finance & accounting
25%
Human contribution to considerAccountability, review & client judgment
Logistics & supply chains
15%
Human contribution to considerOperations oversight & exception handling
Healthcare & diagnostics
10%
Human contribution to considerClinical judgment, care & patient relationships
Skilled physical trades
2%
Human contribution to considerWork in varied physical environments
Showing the supplied 2026 example.
Adjust the scenario assumptions
These are the unverified example numbers supplied for this tool. Choose whole percentages from 0 to 100 and a timing year from 2026 to 2040. The end share must be at least the start share. Changes stay in this page and are not saved.
How this chart works
A normalized logistic curve connects the selected 2026 and 2040 shares exactly. The curve timing year changes the pattern of acceleration between those endpoints. Each industry uses its own assumptions; no AI model is making a prediction here.
S(y) = 1 / (1 + exp(−12 × (y − t) / 14))
share(y) = a + (b − a) × [S(y) − S(2026)] / [S(2040) − S(2026)]
y is the selected year; a is the 2026 share; b is the 2040 share; and t is the curve timing year. The curve steepness is fixed at 12, and the horizon is fixed at 14 years. Displayed shares round to the nearest whole percentage.
The illustrative chapters follow fixed calendar ranges: digital workflows (2026–2028), knowledge work (2029–2032), logistics and operations (2033–2036), and physical and complex work (2037–2040). They do not depend on the edited curve timings.
Task exposure, practical adoption and changes in employment are different questions. This demonstration does not quantify those differences. Human contributions shown alongside the bars are prompts for thinking, not guarantees about future roles.