---
id: "entity-daron-acemoglu"
type: "entity"
entityType: "person"
canonicalName: "Daron Acemoglu"
aliases: []
source_url: "https://hbr.org/2024/12/how-to-create-value-systematically-with-gen-ai"
source_title: "How to Create Value Systematically with Gen AI"
source_timestamps: ["§ Individual Improvements"]
tags: ["economics", "academia"]
related: ["concept-so-so-technologies"]
sources: ["spine", "agentic"]
sourceVaultSlug: "hbr-nm-98-create-value-systematically-genai"
originDay: 98
articleStem: "hbr-nm-98-create-value-systematically-genai"
sourceUrl: "https://hbr.org/2024/12/how-to-create-value-systematically-with-gen-ai"
sourceTitle: "How to Create Value Systematically with Gen AI"
isSpeakerEntity: true
---
## Segment 1 — spine

# Daron Acemoglu

**Profile.** Daron Acemoglu is a Nobel laureate economist (MIT Economics) and, with co-author Pascual Restrepo, the originator of the term [[concept-so-so-technologies]] — innovations that displace workers without generating sufficient productivity increases to improve competitiveness or living standards.

**Role in the source.** Cited authority. The authors borrow his "so-so automation/technologies" concept to argue that Level 1 individual AI gains, left as an endpoint, are economically "so-so" (see [[claim-individual-gains-insufficient]] and [[contrarian-productivity-gains-are-insufficient]]).

**Enrichment context.** His broader body of work distinguishes automation that is merely labor-displacing from **"task-creating"** technologies that augment labor and raise both productivity and wages. Under this lens, the article's implicit argument is that Level 1 GenAI is often "so-so," while Levels 2–4 are the more labor-augmenting, value-creating direction. Canonical reference: MIT Economics faculty profile.

## Segment 6 — agentic

## Article 17 — a017

# Daron Acemoglu

**Profile.** MIT economist and Nobel laureate; co-authored work on generative AI's impact on labor productivity, estimating ~0.4–0.6 percentage points of annual productivity growth over the next decade under current adoption pathways. Canonical reference: https://economics.mit.edu/faculty/acemoglu

**Role in this source.** A cited authority whose estimate the author critiques — not a participant. His published, cautious macro position is the foil for the article's central productivity argument.

**Attributed contributions.** The ~0.5% productivity estimate that anchors [[claim-acemoglu-underestimate|the 'floor not ceiling' claim]] and the contrarian insight [[contrarian-acemoglu-estimate]]. See the critique quote in [[quote-acemoglu-floor]].