Lisa Krayer
Confidence 0.75 · 3 sources · last confirmed 2026-06-15
Principal at Boston Consulting Group; member of the firm’s People & Organization, Technology and AI teams; BCG Henderson Institute Ambassador. Her research and client work focus on the human and business impact of emerging technologies, with a special focus on agentic AI in the enterprise (her own author-bio framing from the Kropp et al. HBR research feature).
Two wiki appearances (the trigger for entity promotion)
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[[2026-04-28-dellacqua-jagged-technological-frontier|Dell’Acqua et al. — Navigating the Jagged Technological Frontier (Organization Science, 2026)]] — co-author with Dell’Acqua, McFowland III, Mollick, Lifshitz, Kellogg, Rajendran, Candelon, and Lakhani on the field-experimental evidence on knowledge-worker productivity paper. The wiki’s central anchor on the jagged-frontier concept; 758-BCG-consultant RCT showing within-the-frontier productivity gains (+12% tasks, +25% speed, +40% quality) and outside-the-frontier ~19pp accuracy loss (with subjective coherence persisting through it).
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[[2026-05-06-kropp-bcg-hbr-dont-treat-ai-agents-like-employees|Kropp et al. — Research: Why You Shouldn’t Treat AI Agents Like Employees (HBR, May 2026)]] — co-author with Kropp, Bedard, Wiles, and Hsu on the N=1,261 randomized experiment showing that the AI-as-employee framing causes 9pp accountability drop, 44% more escalation requests, 18% fewer errors caught, and 13% higher identity uncertainty. The wiki’s most-pointed empirical anti-anthropomorphizing-AI source.
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[[2026-04-03-bcg-emerson-kropp-ai-will-reshape-more-jobs-than-it-replaces|Emerson, Kropp et al. — AI Will Reshape More Jobs Than It Replaces (BCG, April 2026)]] — co-author of the BCG Henderson Institute microeconomic labor-impact model: the six AI Labor Disruption Segments and the 50–55%-reshaped / 10–15%-eliminated split.
Research pattern
Across these sources Krayer’s contribution sits at the organisation-and-talent altitude of agentic-AI research — measuring how AI deployment changes managerial work patterns, accountability allocation, and identity dynamics. Both papers use large-N randomised experiments as their empirical method (758 BCG consultants on the Jagged Frontier paper; 1,261 HR/finance managers on the AI-as-employee paper). The pairing makes her one of the wiki’s small set of authors who have published RCT-grade evidence on AI’s organisational consequences twice in the wiki’s corpus to date.
Related entities
- Boston Consulting Group — employer; both papers carry the BCG Henderson Institute affiliation.
- Fabrizio Dell’Acqua — Jagged Frontier paper co-author (lead).
- Ethan Mollick — Jagged Frontier paper co-author; HBS academic counterpart.
- Karim Lakhani — Jagged Frontier paper co-author; HBS lab director.