Humans on the Jagged Frontier

The largest field experiment on AI and knowledge work — huge gains, a hidden cliff, and three working styles.

AI Strategy & Implementation · Expert · 9 min read · 4 quiz questions

By Ronan Liedmeier, fractional head of growth and course author · Reviewed 13 October 2026

What you will learn

  • The experiment
  • Three modes of working with AI
  • Why oversight must be structural

Lesson preview

AI capability isn't a smooth surface — it's a jagged coastline. Some tasks sit well inside the model's reliable zone; others sit just outside it. The dangerous property: output quality looks identical on both sides. Fluent, well-structured, confident — and sometimes completely wrong. Adoption design is therefore frontier management: map which tasks sit where, build structural (not aspirational) oversight at the boundary, and re-map every time the model upgrades. This is the human-side twin of Volume 1's eval discipline. Evals locate the frontier empirically for your system; this section is what you do organizationally with that map. Harvard's Fabrizio Dell'Acqua, Karim Lakhani, and colleagues (including Wharton's Ethan Mollick and MIT's Katherine Kellogg) ran a randomized field experiment — not a survey, an actual controlled experiment — on 758 BCG consultants, roughly 7% of the firm's individual-contributor workforce. 1% faster, and produced output rated ~40% higher in quality. Then came the twist. For one task deliberately designed to sit outside the model's reliable zone — where the AI produced convincing but incorrect analysis — consultants working without AI were right 84% of the time. Consultants with AI access dropped to 60–70%. The tool actively made them worse. The damage came from the same behavior as the gains: trusting the output. The AI sounded right. It was fluent, well-structured, confidently stated — and wrong. There was no signal to tell you which side of the frontier you were on.

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Key terms in this module

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.
Jagged technological frontier
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.

Frequently asked questions

Who is "Humans on the Jagged Frontier" for?
This Expert module in AI Strategy & Implementation is for operators, founders and growth teams who run AI in real work and want production-grade judgement. It takes about 9 minutes and ends with a 4-question quiz.
Do I need to code?
No. This module is about decisions, economics and implementation planning, so no coding is involved.
What comes before and after this module?
Before "Humans on the Jagged Frontier", take "The Adoption Playbook" (module 5 of AI Strategy & Implementation). Afterwards, continue with "The Operating Model: Making the Organization Learn".

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