AI-Wiki

index

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Index

The catalog of every page in this wiki. Updated on every ingest. See the design doc, §9.1 for format conventions.

Each section is flat-listed alphabetically. Once page counts grow, sections may be supplemented with Dataview blocks that auto-include pages by frontmatter type:.

Sources

  • 2026-04-28-ai-index-report-2025 — Stanford HAI’s 8th annual AI Index. 78% of orgs use AI / 71% use GenAI; only 1% mature; $109.1B U.S. private investment; inference cost cratered 280×.
  • 2026-04-28-anand-wu-genai-playbook — HBR Nov–Dec 2025. Anand (NYU Stern Dean) & Wu (HBS) introduce a 2×2 framework for where to deploy GenAI (cost of errors × type of knowledge); paradox-of-access argument; six leakage points exhibit.
  • 2026-04-28-anthropic-economic-index-q4-2025 — Anthropic Economic Research, 15 Jan 2026. Fourth Anthropic Economic Index report. Introduces five “economic primitives”; speedup scales with task complexity (9× HS / 12× college); 52% augmentation vs. 45% automation on Claude.ai (Nov 2025); first-order deskilling thesis; +1.0–1.2 pp/yr aggregate productivity (reliability-adjusted).
  • 2026-04-28-bansal-birkinshaw-systems-thinking — HBR Sept–Oct 2025. Bansal & Birkinshaw (Ivey) argue systems thinking (vs. breakthrough/design thinking) is the right mode for wicked problems; four-principle approach (North Star / reframe / flows / nudge); cases: Maple Leaf Foods, Co-operators, CSA Group.
  • 2026-04-28-brynjolfsson-canaries-coal-mine — Stanford Digital Economy Lab working paper, Aug 2025. ADP payroll data showing early-career workers (22–25) in AI-exposed occupations have ~13% relative decline since late 2022; concentrated in automation not augmentation.
  • 2026-04-28-brynjolfsson-li-raymond-generative-ai-at-work — Quarterly Journal of Economics, Feb 2025 (peer-reviewed). Customer-support AI study with 5,172 agents at Fortune 500 firm; +15% productivity; equalizing effect with small quality decline at top performers; augmentation by design.
  • 2026-04-28-carroll-sorensen-strategy-analogy — Strategy Science Vol 9 No 4, Dec 2024. Carroll & Sørensen (Stanford GSB) develop disciplined tools for analogical reasoning in strategy; Glassdoor/Tripadvisor worked example; horizontal vs. vertical relations; theory-based view connection.
  • 2026-04-28-dellacqua-jagged-technological-frontier — Organization Science (INFORMS), March 2026 (peer-reviewed). Dell’Acqua, Mollick, Lakhani et al. randomized field experiment with 758 BCG consultants on GPT-4; introduces “jagged frontier” concept; +12.2% / +25.1% / +33.9% inside frontier; −19 pp correctness outside; equalizing effect within elite (bottom-half +31%, top-half +11%).
  • 2026-04-28-ftsg-convergence-outlook-2026 — FTSG (Future Today Strategy Group), 1st edition Jan 2026. Replaces 19-year Tech Trends Report. Defines convergence (multi-trend system-level intersection); four rules; seven enabling conditions; 24 chapters spanning compute, agentic economies, labor, biology, surveillance — only intro ingested.
  • 2026-04-28-gomaa-lean-4-0 — Open-access academic paper. Strategic roadmap for integrating Lean Manufacturing with Industry 4.0 technologies; 23 × 23 mapping of Lean tools to I4.0 technologies; off-theme but adds the manufacturing lens.
  • 2026-04-28-mit-sloan-ai-maturity — MIT Sloan article on MIT CISR’s four-stage AI maturity framework (28/34/31/7 distribution; 7% Stage 4) and “Four S” challenges (Strategy/Systems/Synchronization/Stewardship) for scaling pilots.
  • 2026-04-28-mittri-cisco-ai-enabled-enterprise — MIT Tech Review Insights × Cisco sponsored research. Only 13% of companies AI-ready; 98% urgency; chatbot → agent → multi-agent progression; five-foundations framework (Strategy/Infrastructure/Data/Governance/Culture).
  • 2026-04-28-reitz-higgins-spacious-thinking — HBR.org Digital, July 2025. Reitz & Higgins (Saïd Oxford / GameShift) on doing-mode vs. spacious-mode attention; advantage blindness; three leader behaviors (focus on ideas / bring in novelty / value & reward spacious mode); 3,000+-employee survey.
  • 2026-04-28-warner-wager-dynamic-capabilities-digital-transformation — Long Range Planning Vol 52, 2019 (peer-reviewed). Warner & Wäger (Edinburgh Napier / Nunatak) qualitative case study of 7 German MNCs; nine digital microfoundations under Teece’s sense/seize/transform clusters; ongoing-strategic-renewal definition of digital transformation.
  • 2026-04-28-webb-strategic-foresight — HBR.org Digital, Jan 2024. Amy Webb (FTSG / NYU Stern) argues strategy and foresight should be reunited; introduces FTSG’s 10-step strategic foresight methodology (signal detection → recalibrate); STREEEP+W uncertainty taxonomy.
  • 2026-04-28-werner-lebrun-octopus-organization — HBR Nov–Dec 2025. AWS executives in residence Werner & Le-Brun argue most companies are “Tin Man Orgs” optimized for predictability and need to become adaptive “Octopus Orgs”; only 12% of transformations succeed.
  • 2026-04-29-boussioux-crowdless-future — Organization Science Vol 35 No 5, Sept–Oct 2024 (peer-reviewed). Boussioux, Lane, Zhang, Jacimovic, Lakhani field study: human-crowd vs human-AI on circular-economy ideation. HC higher novelty; HAI higher strategic viability/value/quality. Differentiated single-instance search beats multi-instance independent search. Cost ~94× lower with HAI ($27 vs $2,555).
  • 2026-04-30-ai-index-report-2026 — Stanford HAI’s 9th annual AI Index, April 2026. New EiC Sajadieh; Medicine spun off as standalone chapter (with Schmidt Sciences); AI sovereignty as new framework. SWE-bench 60→~100%; OSWorld agents 12→66%; org adoption 88%; GenAI 53% population in 3 years; $285.9B U.S. private investment (~23× China); software dev 22–25 employment -20% from 2024; AI incidents 233→362; jagged frontier as official narrative.
  • 2026-05-02-dutt-chatterji-ai-experimentation-to-transformation — HBR.org Digital, 30 April 2026. Dutt, Rapoport (Bain) + Chatterji (Duke / OpenAI Chief Economist), Weeratunga, Satcher (OpenAI Economic Research). Names the “micro-productivity trap”: offering lock-in + process lock-in. Four-step transformation framework with 10–25% Bain client EBITDA gains. Lowe’s (Mylow / Mylow Companion, 1,700+ stores) and FabricationCo (~$30M profit, 15× faster quotes) cases.
  • 2026-05-03-rewired-second-edition-sample — Lamarre, Smaje, Levin et al., Rewired 2nd ed. (Wiley/McKinsey, 2026). Sample-only ingest: 30-page library/OverDrive sample of a ~600-page book — front matter, full TOC for 39 chapters across 7 sections, the introduction, first 5 manifesto themes, and back-of-book Index for terminology. The 6-capability “Rewired” framework (business-led roadmap, talent, operating model, technology, data, adoption-and-scaling); 20% EBITDA uplift / $3:$1 ROI / 1–2 yr breakeven across ~20 deep-dive AI-leader companies; 70% talent-density shifts; 40% of 2nd ed entirely new (mostly agentic AI). Chapters 1–39 and the four case studies (DBS, Freeport-McMoRan, LATAM Airlines, Toyota) deferred until full book is available.
  • 2026-05-05-nishar-nohria-end-of-one-size-fits-all — HBR.org Digital, 23 April 2026. Nishar (technologist/investor; ex-Google, ex-LinkedIn CPO) & Nohria (HBS professor; 10th HBS Dean 2010–2020) argue GenAI dissolves the economic logic of standardized SaaS. Build/buy is no longer a cost question; it’s a strategic question about which workflows the firm should own. Four-model framework for the firm-boundary decision: Build / Compose / Collaborate / Buy Outcomes. Empirical anchors: enterprise GenAI app spending $1.7B (2023) → $37B (2025); 40% of code AI-generated; >1/3 of companies have replaced ≥1 SaaS tool with custom GenAI; SaaS valuations 30–60% below 2021 peaks; Adobe outcome-based pricing as named industry signal.

Entities

  • AI Index — Independent annual-report initiative at Stanford HAI; 8 editions through 2025.
  • Amazon Web Services — Cloud hyperscaler; Anthropic partnership ($8B total); host of the Octopus-Org executives-in-residence program.
  • Amy Webb — Quantitative futurist; CEO of Future Today Strategy Group; professor of strategic foresight at NYU Stern; author of The Signals Are Talking, The Big Nine, The Genesis Machine.
  • Andy Wu — HBS Associate Professor (Strategy Unit); Wharton Mack Institute senior fellow; co-author of the 2×2 GenAI Playbook.
  • Anthropic — AI safety and research company; publisher of Claude and the Anthropic Economic Index; ~$8B total AWS investment.
  • Anthropic Economic Index — Recurring measurement initiative by Anthropic; four reports through Jan 2026; introduces “economic primitives” framework in fourth report.
  • Aaron Chatterji — Mark Burgess Professor of Business and Public Policy at Duke; Chief Economist at OpenAI; co-author of the Bain/OpenAI HBR transformation article.
  • Alex Singla — Senior Partner at McKinsey; global co-leader of QuantumBlack; contributing co-author of Rewired 2nd ed.
  • Alexander Sukharevsky — Senior Partner at McKinsey; global co-leader of QuantumBlack (with Singla); contributing co-author of Rewired 2nd ed.
  • Arjun Dutt — Partner at Bain & Company (AI/ML focus); lead author of the AI Experimentation to AI Transformation HBR article.
  • Bain & Company — Global management consulting firm; co-publishing partner with OpenAI Economic Research on the 2026 transformation framework; reports 10–25% client EBITDA gains.
  • Bharat N. Anand — Dean & Professor at NYU Stern; co-author of the 2×2 GenAI Playbook.
  • Boston Consulting Group — Global management consulting firm; partnered with Harvard/Wharton/MIT/Warwick on the 758-consultant Jagged Frontier RCT.
  • Cisco — Tech vendor; sponsor of MITTRI/Cisco report; source of the 5-foundations framework and the chatbot → agent → multi-agent progression.
  • Continuum Laboratory — San Francisco AI firm (ContinuumLab.AI); partnered with Harvard / U. Washington researchers on the Crowdless Future circular-economy crowdsourcing study.
  • Deep Nishar — Technologist and investor; ex-Google senior product (2003–2008), ex-LinkedIn CPO (2009–2014); investments include Anthropic, Figma, Glean, Slack; co-author with Nohria of the End of One-Size-Fits-All Enterprise Software HBR piece.
  • Eric Lamarre — Senior Partner at McKinsey; lead author of Rewired 2nd ed (Wiley, 2026).
  • Erik Brynjolfsson — Stanford economist; director of Stanford Digital Economy Lab; AI Index steering committee; lead author of the customer-support productivity study (2023) and the Canaries-in-the-Coal-Mine employment study (2025).
  • Ethan Mollick — Wharton associate professor; co-director of Wharton AI Initiative; co-author of the Jagged Frontier paper.
  • Fabrizio Dell’Acqua — HBS Digital Data Design Institute researcher; lead author of the Jagged Frontier paper.
  • Future Today Strategy Group — Strategy/foresight consultancy led by Amy Webb; publisher of the Convergence Outlook 2026; formerly Future Today Institute; produced 19 annual Tech Trends Reports.
  • Gawesha Weeratunga — Member of OpenAI Economic Research team; co-author of the Bain/OpenAI HBR transformation article.
  • Gene Rapoport — Partner and head of AI for the Private Equity practice at Bain & Company; co-author of the AI Experimentation to AI Transformation HBR article.
  • Glenn R. Carroll — Stanford GSB professor; co-author of Strategy Theory Using Analogy with Sørensen.
  • Harrison Satcher — Member of OpenAI Economic Research team; co-author of the Bain/OpenAI HBR transformation article.
  • Harvard Business Review — Management magazine; publisher of multiple wiki sources (Anand-Wu, Werner-Le-Brun, Bansal-Birkinshaw, Reitz-Higgins, Webb, Dutt-Chatterji).
  • Ivey Business School — Business school at Western University, London, Ontario; houses Innovation North; affiliated with Bansal & Birkinshaw.
  • Jacqueline N. Lane — Assistant Professor at HBS / LISH; corresponding author of the Crowdless Future paper.
  • Jesper B. Sorensen — Stanford GSB professor; co-author of Strategy Theory Using Analogy with Carroll.
  • John Higgins — Researcher at GameShift / The Right Conversation; co-author of Spacious Thinking with Reitz; co-author of Speak Out, Listen Up (2024).
  • Julian Birkinshaw — Dean of Ivey Business School; co-author of Why You Need Systems Thinking Now with Bansal.
  • Karim Lakhani — HBS professor; chair of the Digital Data Design Institute; co-author of the Jagged Frontier paper.
  • Karl S.R. Warner — Edinburgh Napier University researcher; lead author of Building Dynamic Capabilities for Digital Transformation with Wäger.
  • Kate Smaje — Senior Partner at McKinsey; co-author of Rewired 2nd ed.
  • Lowe’s — U.S. home-improvement retailer; OpenAI partner (Mylow / Mylow Companion across 1,700+ stores; March 2025 launch).
  • Leonard Boussioux — University of Washington Foster School / HBS LISH; lead author of the Crowdless Future paper.
  • Maximilian Wager — Nunatak Group researcher; co-author of Building Dynamic Capabilities for Digital Transformation with Warner.
  • McKinsey & Company — Global management consulting firm; runs QuantumBlack as its AI arm; recurring data partner of the AI Index; publisher of Rewired. McKinsey Global AI Survey is the underlying instrument for several wiki adoption headlines.
  • Megan Reitz — Associate fellow at Saïd Business School Oxford; adjunct prof at Hult; co-author of Spacious Thinking with Higgins; author of Dialogue in Organizations, Mind Time, Speak Up, Speak Out, Listen Up.
  • METR — AI evaluations organization; introduced task-horizon benchmark (50%-success duration); referenced by the fourth Anthropic Economic Index report.
  • Miaomiao Zhang — ContinuumLab.AI / HBS researcher; co-author of the Crowdless Future paper.
  • Schmidt Sciences — Nonprofit research and philanthropy organization; new analytics partner for AI Index 2026, collaborated on the standalone Medicine chapter.
  • Sha Sajadieh — Editor-in-Chief of the AI Index 2026 (9th edition); replaces Nestor Maslej.
  • MIT CISR — MIT Center for Information Systems Research; produces the Four Stages of AI Maturity framework.
  • MIT Technology Review Insights — Custom publishing arm of MIT Technology Review; publisher of MITTRI/Cisco report.
  • Nestor Maslej — Editor-in-Chief of the AI Index at Stanford HAI; lead author of the 2025 report.
  • Nitin Nohria — Harvard professor; 10th Dean of HBS (2010–2020); co-author with Nishar of the End of One-Size-Fits-All Enterprise Software HBR piece introducing the Build/Compose/Collaborate/Buy-Outcomes firm-boundary framework.
  • OpenAI — AI research and deployment company; provider to >1M businesses; co-publishing partner on the 2026 transformation framework via its Economic Research team; Lowe’s AI partner; central to the wiki’s GenAI substrate references.
  • Peter Weill — Senior research scientist at MIT Sloan; chairman of MIT CISR. Cited in Rewired 2nd ed (Lamarre et al. 2026, p. 26).
  • Rob Levin — Senior Partner at McKinsey; co-author of Rewired 2nd ed.
  • Stanford Digital Economy Lab — Research initiative at Stanford directed by Brynjolfsson; publisher of the Canaries paper; distinct from Stanford HAI.
  • Stanford HAI — Stanford Institute for Human-Centered Artificial Intelligence; publisher of the AI Index; founded 2019.
  • Stephanie Woerner — Principal research scientist at MIT Sloan; director of MIT CISR. Cited in Rewired 2nd ed (Lamarre et al. 2026, p. 286).
  • Tima Bansal — Canada Research Chair in Business Sustainability at Ivey; founder of Innovation North; co-author of Why You Need Systems Thinking Now with Birkinshaw.
  • Vladimir Jacimovic — ContinuumLab.AI / HBS researcher; co-author of the Crowdless Future paper.
  • Yolanda Gil — USC / Information Sciences Institute researcher; chair of the AI Index 2026 (was chair-elect in 2025).

Concepts

  • ai-agents — Software systems pursuing complex goals autonomously; chatbot → agent → multi-agent progression; deployed today in low-cost-of-error tasks.
  • ai-benchmarks — Umbrella for standardized AI evaluations; covers MMLU, MMMU, GPQA, SWE-bench, HELM Safety, RE-Bench, METR task horizons, etc.
  • ai-deskilling — Task-composition shift mechanism: jobs persist while higher-education-content tasks are AI-handled; most-affected named occupations include technical writers, travel agents, teachers.
  • ai-employment-effects — Empirical record of AI’s effects on jobs, hiring, and wages. Headline: ~13% relative decline for early-career workers in AI-exposed occupations; +1.0–1.2 pp/yr aggregate productivity contribution (reliability-adjusted); equalizing effect among elite knowledge workers per Dell’Acqua et al. 2026.
  • analogical-reasoning — Use of source-target analogies in strategy formulation; rhetorical and generative roles; Carroll-Sørensen tools for disciplined use; theory-based view connection.
  • automation-vs-augmentation — A load-bearing distinction: does AI substitute for labor or complement it? Strategic, task-design, and labor-market consequences.
  • dynamic-capabilities — Teece’s sense/seize/transform framework; nine digital microfoundations per Warner & Wäger; the substrate of which AI adoption is one current instantiation.
  • enterprise-ai-adoption — Pace, depth, and pattern of org AI use; multi-lens framing (breadth / stage / readiness / capabilities / foresight / transformation / six-capability / org-design / task / firm-boundary); 88% adoption (AI Index 2026) but agent deployment in single digits per function; load-bearing concept anchoring the wiki’s organizational-frameworks synthesis.
  • foundation-models — Large pretrained models that serve as substrate; industry produced 90% of notable 2024 models.
  • generative-ai — Content-generating AI; >20% of all AI private investment ($33.9B in 2024); MS-DOS → GUI access democratization; substrate for agents; field-experimental evidence (Dell’Acqua et al. 2026) shows jagged-frontier capability profile.
  • industry-4-0 — German-government 2011 framing of cyber-physical-systems-driven manufacturing; the digital side of the Lean 4.0 synergy.
  • jagged-frontier — Boundary of current AI capability; uneven and invisible; introduced by Dell’Acqua et al. 2026; per-task fit determines whether AI augments or harms performance.
  • lean-4-0 — The integration of Lean Manufacturing principles with Industry 4.0 technologies; 23 × 23 tool-mapping.
  • micro-productivity-trap — Failure pattern in enterprise AI deployment: task-level gains failing to translate to firm-level results. Two lock-ins (offering, process); escape via four-step transformation framework; 10–25% Bain client EBITDA gains.
  • responsible-ai — Risk-management discipline for AI; incidents +56.4% YoY; AI security as a discipline; Stewardship as one of the Four S pillars; labor-market disruption as an under-attended concern.
  • strategic-foresight — Disciplined identification of where to play / how to win in the future; FTSG’s 10-step methodology; STREEEP+W uncertainty taxonomy; convergence as a 2026 reframing.
  • systems-thinking — Innovation mode that traces flows, relationships, feedback loops; complement to breakthrough and design thinking; four-principle approach for wicked problems (North Star / reframe / flows / nudge).

Syntheses

  • organizational-frameworks-for-ai-adoption — Closes the thread of the same name. Six frameworks (MIT CISR Four Stages + Four S; Anand-Wu 2×2 + leakage points; Cisco 5 Foundations; Werner-Le-Brun Octopus/Tin Man; McKinsey Rewired 6 capabilities; Bain/OpenAI 4-step transformation) mapped to seven decision layers (org-design / readiness / capability progression / transformation playbook / trap escape / task deployment / diagnostic), with a decision tree and an empirical-validation gap analysis.

Threads

Graph View