Jagged technological frontier
Definition
The jagged technological frontier is the uneven edge of what AI does well: it improves results on some tasks and makes them worse on others, even when the tasks look equally hard. The term comes from a 2023 Harvard Business School study of consultants using AI.
By Ronan Liedmeier, fractional head of growth and course author · Published 17 October 2026 · Last updated 17 October 2026
Also called: jagged frontier
For anyone rolling out AI at work, the hard part is that the edge is invisible. Output on the wrong side of it reads as fluent and confident as output on the right side.
How it works
Fabrizio Dell'Acqua and colleagues ran a preregistered experiment with 758 knowledge workers at Boston Consulting Group. On 18 realistic tasks inside the frontier, consultants using GPT-4 completed 12.2% more tasks, finished 25.1% faster on average, and produced higher-quality work. On a complex managerial task picked to sit outside the frontier, consultants using AI were 19% less likely to reach the correct answer than those working without it.
The edge also moves. Each new model shifts which tasks sit where, so last year's list of what AI can't do may be wrong today.
Example
A content team lead sorts her team's weekly tasks into three columns. Turning a webinar transcript into social posts sits inside: AI drafts and someone spot-checks a sample. Summarizing a competitor's pricing page is near the edge, so a person checks every figure against the source. Choosing which product to push next quarter stays with people, with AI used for drafts at most. When the team's model changes, she sorts the columns again.
Common mistake
Giving everyone the tool with no map of which tasks sit where. People then under-use it on safe work and over-trust it on risky work. A review step helps only when the reviewer has the time and the knowledge to check the output independently, which is where centaurs and cyborgs and evals come in.
Learn it in AI Academy
- Humans on the Jagged FrontierExpert · 9 min
Related terms
- Centaurs and cyborgs
- Centaurs and cyborgs are two ways people work with AI. Centaurs split a task, handing some parts to AI and keeping others, while cyborgs work with AI continuously, passing small pieces back and forth.
- Hallucination
- A hallucination is a false statement an AI model presents as fact, such as a made-up statistic, quote or source. It happens because language models are trained to produce likely-sounding text, and likely-sounding text is sometimes wrong.
- AI eval (evaluation)
- An AI eval (evaluation) is a repeatable test that checks whether an AI prompt or workflow gives good answers, by running it on a fixed set of inputs and scoring the outputs against agreed criteria. It turns "seems fine" into a score you can compare.
- Human in the loop
- Human in the loop is a setup where an AI system pauses at set points so a person can approve or correct its work before it takes effect. It is used for actions that are hard to undo, such as sending emails to customers or moving money.