AI forecasts need wide uncertainty bands
Long-run growth results depend heavily on assumptions about task exposure, productivity, adoption and access. Scenario ranges are more honest than a single headline number.
FUURAA original conceptual visualWhat the evidence indicates
A concise reading of the source
Long-run growth results depend heavily on assumptions about task exposure, productivity, adoption and access. Scenario ranges are more honest than a single headline number.
FUURAA interpretation
Why this could matter
FUURAA forecasts should state drivers, uncertainty and conditions that would change the result.
How to read this signal
Documented development
The underlying event, report or finding has been published. Its future consequences may still be uncertain.



