Explore · External desk
Resources
Curated primary sources for executives who want to go deeper: landmark reports and standards, leadership podcasts, briefings, lab updates, news desks, and accounts worth following — each with why it matters for your decisions.
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Frameworks, reports & research
Primary research and standards that shape board-level AI decisions — McKinsey, Stanford, NIST, OECD, EU, PwC, BCG, IBM, WEF, and DOJ/EEOC.
The state of AI in 2025 — Agents, innovation, and transformation
2025 Global Survey article on AI adoption, value capture, and early agent use.
At stake: If you only hear AI from vendors, you will fund seats without proof of process change — and miss the redesigns that actually move P&L.
Artificial Intelligence Index Report 2026 (full PDF)
Full 2026 PDF — capability, investment, policy, public opinion.
At stake: Board and ELT debates get captured by supplier charts. Without a non-vendor baseline, you cannot challenge hype or complacency with evidence.
AI Risk Management Framework (AI RMF 1.0) — NIST.AI.100-1 PDF
Official PDF: Map, Measure, Manage, Govern AI risks.
At stake: Without shared risk language, Legal, Risk, and the business talk past each other — and high-stakes AI launches without owners or pause authority.
EU Artificial Intelligence Act — Regulation (EU) 2024/1689 (official text)
Binding EU AI Act text — risk tiers, prohibited practices, governance duties.
At stake: If your products, people, or vendors touch the EU market, prohibited and high-risk AI categories can become hard legal constraints — not optional ethics slides.
OECD Recommendation on Artificial Intelligence (OECD/LEGAL/0449)
Intergovernmental legal instrument on trustworthy AI (amended 2024).
At stake: Multi-market leaders need a baseline that travels across jurisdictions — national slogans alone will not align Legal, Privacy, and the business.
PwC 29th Global CEO Survey (2026) — full PDF
4,454 CEOs across 95 countries on reinvention, confidence, and AI.
At stake: Functional AI work dies in ELT if it is framed as tools. CEO language — growth, trust, reinvention — is how you keep airtime and budget.
BCG AI Radar 2026 — As AI Investments Surge, CEOs Take the Lead
2026 Radar findings on CEO ownership of AI and the spend-to-value gap.
At stake: Capital allocation conversations will ask where AI spend sits and who owns it. Without a clear answer, experiments never become scale — or scale without control.
IBM IBV 2026 CEO Study — 5 plays for AI-first transformation
2026 CEO Study on operating model, talent, and decision rights.
At stake: Org design and skills determine whether AI tools produce value or noise. Tech-vendor narratives alone under-specify decision rights and talent.
WEF AI Governance Alliance — Briefing Paper Series (full PDF)
January 2024 PDF — multi-stakeholder guidance on responsible AI deployment.
At stake: Vague ‘responsible AI’ slides fail diligence. You need shared questions that vendors and internal teams can answer consistently.
DOJ & EEOC — AI tools and disability discrimination in employment
DOJ & EEOC joint statement on AI tools and disability discrimination in employment.
At stake: Hiring and promotion tools can create legal and reputational exposure even when marketed as ‘neutral.’ People decisions are where AI risk becomes personal for candidates and employees.
Podcasts
Leadership and strategy conversations you can take into Monday meetings.
HBR IdeaCast
Management conversations; search episodes on AI, digital, and leadership.
At stake: Peer-level leadership conversations — strategy and judgment.
The McKinsey Podcast
Strategy and operations conversations, including technology and AI themes.
At stake: Helps you pressure-test vendor stories with strategy vocabulary.
Hard Fork
Weekly tech and AI news for business leaders.
At stake: Stay current on headlines your board may ask about — then filter for your function.
a16z Podcast
Builders and markets; useful for understanding vendor and investor narratives.
At stake: Hear the stories that show up in RFPs — with a critical ear for hype.
Practical AI
Practitioners explain AI topics with less specialist density than research podcasts.
At stake: Good bridge when you need slightly more depth on applied topics.
AI lab newsrooms
Direct updates from the labs behind ChatGPT, Claude, Gemini, Grok (SpaceXAI), and related models.
OpenAI newsroom / blog
Product and research updates behind ChatGPT and OpenAI APIs.
At stake: Primary source when staff or vendors say ChatGPT changed — then re-eval your use cases.
Anthropic news
Updates on Claude and Anthropic’s enterprise positioning.
At stake: Counterpart to OpenAI when evaluating Claude for work.
Google DeepMind / Google AI blog
Research and product notes tied to Gemini and Google AI.
At stake: Relevant if your stack is Google Workspace / Cloud.
SpaceXAI newsroom / Grok
Product and research updates from SpaceXAI — the lab behind Grok.
At stake: Complete the map of major labs staff use alongside ChatGPT and Claude. SpaceXAI (formerly xAI) rebranded in 2026 after combining with SpaceX.
Meta AI blog
Llama and Meta AI research/product updates.
At stake: Open-weight models show up inside vendors and on-prem pitches.
Microsoft AI / Copilot blog
Enterprise Copilot and Azure AI announcements.
At stake: If Microsoft 365 is your backbone, workplace AI changes land here.
AI news desks
Journalism and analysis that keep executives grounded in what is changing.
Financial Times — Technology / AI
Business-first coverage of AI markets, policy, and corporate strategy.
At stake: Board-level tone; capital and competitive context.
Subscription
Reuters — Artificial Intelligence
Wire-speed reporting on AI companies, regulation, and deals.
At stake: Fast factual baseline when a headline hits your industry group chat.
WSJ — AI coverage
Corporate and market angles on AI adoption and risk.
At stake: Useful for US-centric board and investor conversations.
Subscription
MIT Technology Review — AI
Deeper explainers on AI capability, society, and industry.
At stake: More depth than a wire story without reading research papers.
The Economist — Technology & AI
Global analysis connecting AI to economics, policy, and business.
At stake: Strong for cross-border executives who need the business frame.
Subscription
Rest of World — tech in emerging markets
Tech and AI stories beyond US/EU defaults.
At stake: APAC and multi-market leaders need non-Silicon-Valley context.
Where to go next
Continue the 12-week path in Lessons, or open the Library for deeper briefs and cases that sit alongside these external sources.
Accounts to follow (X & LinkedIn)
Labs, research institutes, and strategy voices on X and LinkedIn worth a place on your radar.
OpenAI on X
Product launches and official statements.
At stake: Primary alerts — verify on the OpenAI newsroom before acting.
Anthropic on X
Claude updates and company announcements.
At stake: Pair with Anthropic newsroom for enterprise-relevant changes.
Google DeepMind on X
Research and Gemini-related highlights.
At stake: Signal on Google’s model direction if you are a Workspace/Cloud customer.
SpaceXAI on X
Official SpaceXAI and Grok announcements.
At stake: Primary alerts for Grok / SpaceXAI — verify on the newsroom before acting.
OpenAI on LinkedIn
Enterprise and company updates on LinkedIn.
At stake: Many executives prefer LinkedIn for ChatGPT Enterprise posts.
Anthropic on LinkedIn
Claude and Anthropic updates for a professional audience.
At stake: Pair with the Anthropic newsroom when evaluating Claude for work.
Google DeepMind on LinkedIn
Research and product highlights from DeepMind / Google AI.
At stake: Relevant if Gemini or Google Workspace AI is on your roadmap.
Microsoft on LinkedIn
Copilot and Azure AI announcements in a professional feed.
At stake: If Microsoft 365 is your backbone, rollouts often surface here first.
McKinsey on LinkedIn
Strategy and AI transformation articles for executives.
At stake: Framework language you can reuse in ELT discussions.
NIST on LinkedIn
Standards and AI RMF-related updates.
At stake: Risk and compliance leaders should track primary standards bodies.
World Economic Forum on LinkedIn
Cross-industry AI, policy, and leadership themes.
At stake: Helpful for multi-stakeholder executives who prefer LinkedIn.
Stanford HAI on LinkedIn
Research institute posts, AI Index highlights, and briefings.
At stake: Credible non-vendor perspective when you need research signal.