Boston Consulting Group

Confidence 0.85 · 5 sources · last confirmed 2026-06-20

Premier global management consulting firm; headquarters Boston. Approximately 1% applicant acceptance rate per the Jagged Frontier paper. Operates an “up or out” promotion track tied to performance evaluations.

Henderson Institute

BCG’s research arm; provides authors on AI-and-strategy work referenced in this wiki. BCG has launched BCG X (the firm’s tech build-and-design arm); Matthew Kropp serves as CAIO of BCG X (chief AI officer) per the Kropp et al. HBR research feature.

Appears in this wiki via

• 2026-04-28-dellacqua-jagged-technological-frontier — partnered with Harvard / Wharton / MIT / Warwick researchers for a 758-consultant randomized field experiment on GPT-4 use; experimental tasks designed by senior BCG MDs and validated as representative of consulting work.
• BCG senior partners François Candelon, Saran Rajendran, Lisa Krayer are co-authors on the Jagged Frontier paper.
• 2026-05-06-kropp-bcg-hbr-dont-treat-ai-agents-like-employees — BCG Henderson Institute research feature in HBR; Matthew Kropp (BCG managing director / senior partner / CAIO of BCG X), Julie Bedard (BCG managing director / partner; People & Org + AI leadership teams), Megan Hsu (BCG project leader), Lisa Krayer (BCG principal), plus Boston University’s Emma Wiles. RCT (N=1,261) on the AI-as-employee framing showing it causes 9pp accountability drop, 44% more escalation, 18% fewer errors caught, 13% higher identity uncertainty.
• 2026-04-03-bcg-emerson-kropp-ai-will-reshape-more-jobs-than-it-replaces — BCG Henderson Institute microeconomic labor-impact report (Greg Emerson, Matthew Kropp, Julie Bedard, Lisa Krayer, Megan Hsu, et al.): the proprietary six AI Labor Disruption Segments (Amplified 5% / Rebalanced 14% / Divergent 12% / Substituted 12% / Enabled 23% / Limited-Exposure 34%) and the 50–55% reshaped / 10–15% eliminated headline. Promotes Matthew Kropp, Julie Bedard, Megan Hsu to entities.
• The Krayer/Kropp pair makes BCG the wiki’s first management-consulting firm to anchor two RCT-grade studies on AI’s organisational consequences — first on knowledge-worker productivity (within-the-frontier vs outside), then on framing-and-governance (tool-vs-employee) — now extended by the labor-disruption-segments modeling report.
• BCG-cited prior research (not separately ingested): AI brain fry study (11% / 39% higher minor / major error frequency under excessive AI use); AI workforce transformation study (3.5× managerial-role-modelling at high-maturity orgs); BCG Henderson Institute executive-vs-IC enthusiasm gap research (76% / 31% gap).