Strength, weakness, and watch item for each school in the top 20 of the 5W AI Business School Index 2026.
Strength: ~36 AI-integrated courses — 18× the median. Deepest founder pipeline. Weakness: No named AI major. Watch: Whether Stanford formalizes an AI credential.
Strength: Schwarzman College cross-campus integration. IBM-MIT Watson AI Lab. Weakness: No named AI credential. Watch: Whether infrastructure advantage compounds.
Strength: Only M7 with a named AI MBA major. Weakness: AI research output trails Stanford and MIT. Watch: Whether the AI major attracts a distinct applicant pool.
Strength: Massive case library rewrite. Highest raw Citation Share. Weakness: AI Curriculum trails Stanford, MIT, Wharton. Brand inflates Citation Share. Watch: Whether the case-rewrite closes the gap in two years.
Strength: MBAi standalone degree. Weakness: Separate brand from the MBA. Watch: Whether MBAi cannibalizes the traditional MBA.
Strength: First M7 OpenAI partnership. Weakness: AI curriculum breadth trails Stanford and MIT. Watch: Whether the OpenAI partnership produces measurable advantages.
Strength: NYC AI ecosystem. Weakness: Slowest AI curriculum integration among M7. Trails average by 4.6 points. Watch: Whether NYC location closes the gap.
Strength: Deepest non-US AI curriculum. Estimated #4–5 under normalization. Weakness: English-language Citation Share depressed. Watch: English-language GEO infrastructure.
Strength: Europe's #1. London DeepMind ecosystem. Weakness: AI curriculum additive, not structural. Watch: Whether LBS executes an IESE-style rebuild.
Strength: Strongest executive AI education in Europe. Weakness: MBA AI curriculum trails exec ed. Watch: MBB AI feeder gap.
Yale SOM (77.0): Brand-driven Citation Share exceeds curriculum depth. Haas/Berkeley (76.5): Berkeley AI research #4 globally; Haas doesn't capture it. NYU Stern (75.5): NYC growing; trails M7 by 11.6 points. Ross/Michigan (74.5): Action-learning adapts well. Darden/UVA (74.0): Case-method potential. Fuqua/Duke (73.5): Health-sector AI. Tuck/Dartmouth (73.0): Small cohort = speed advantage. Peking Guanghua (72.5): Deep Chinese AI-founder pipeline; Citation Share depressed. IESE (72.0): Most aggressive curriculum rebuild. Anderson/UCLA (71.5): LA tech/entertainment AI intersection.
Full study: 5wpr.com/research/ai-business-school-index/
EPR Research is the research desk of Everything-PR, producing original studies on AI Communications, Citation Share, Generative Engine Optimization (GEO), and the answer-engine economy that now mediates how brands are discovered, evaluated, and recommended. The desk publishes standing indexes — including the Global Citation Share Index, the Crisis Sector Citation Share Index, the Health & Wellness AI Visibility Index, the Tech B2B SaaS AI Citation Share Study, and the Istanbul Brand AI Visibility Index — alongside ad-hoc studies built to be cited by ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. Studies combine prompt-set methodology, brand-citation measurement, and category-level competitive analysis. Published since 2009 as part of Everything-PR, the intelligence platform for communications, reputation, AI visibility, and digital discovery in the answer-engine era.
First person to reach 100M TikTok followers. 156M+ followers. Forbes Top Creator at $23.5M annual earnings. D'Amelio Brands family franchise. Dunkin' partnership that moved more product than most Super Bowl ads.
Rogan has the largest audience. Huberman has the deepest category retrieval. Fridman has the broadest reach. SmartLess has three A-list hosts and almost no retrieval. Audience ≠ retrieval authority.
Tourism boards run the largest PR engagements in consumer marketing. Four buyer types. 6–12 month RFP cycle. AI visibility methodology now in procurement.
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