The Transformative Potential of Generative AI: A Conversation with Ethan Mollick
Abstract
Jim Euchner [JE]: You have been doing a lot of experimenting with the powers and limits of generative AI and documenting what you have learned on your One Useful Thing Substack channel.Ethan Mollic...
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Integrating critical cognitive functions such as brainstorming, summarising, and drafting will likely lead to significant productivity gains in administrative, research, and teaching-related work.
“Integrating critical cognitive functions such as brainstorming, summarising, and drafting will likely lead to significant productivity gains (Mollick & Euchner, 2023) not only in administrative and research-related work but also in teaching-related processes such as the creation of learning activities, lesson plans and learning resources, and assessments (Al-Naqbi et al., 2024).”
From Higher Education's Generative Artificial Intelligence Paradox: The Meaning of Chatbot Mania (2024) · cites this paper as Mollick & Euchner, 2023
The citation lists haven’t been fetched yet
Cited by 32
- Authors
- Mollick, E., & Euchner, J.
- ORCID
- Mollick, Ethan
- Venue
- Research-Technology Management
- Publisher
- Informa UK Limited
- Published
- 2023-06-26
- Volume
- 66
- Issue
- 4
- Pages
- 11-16
- ISSN
- 0895-6308 (ISSN-L)
- 1930-0166
- OpenAlex
- W4382048751
- Cited by
- 32
- References
- 0
- Citations by year
- 2026: 9 · 2025: 10 · 2024: 12 · 2023: 1
- FWCI
- 2.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Research-Technology Management (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Decision Sciences › Information Systems and Management › Technology's Impact on Media
- Keywords
- generative AI, AI capabilities and limitations
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
