The AI Communications 100 identifies the figures who shape how AI systems retrieve, synthesize, and present information. Lane 7 covers Narrative Control, Alignment & Safety — the people inside labs and at independent evaluators who shape what AI models say, suppress, amplify, and treat as default truth.
Communications is the explicit second half of this lane's title. The figures who control what AI systems say about the world are, in the most direct possible sense, the communications practitioners of the AI era. They set defaults, write policies, and make judgment calls that determine what responses get generated for billions of queries.
The structure of Lane 7
Lane 7 contains three distinct types of figure:
Alignment researchers who shape what AI systems will and won't say at the model level: Jan Leike, Sam Bowman, Paul Christiano, David Krueger, Boaz Barak. These are the people building the technical frameworks for getting AI systems to behave as intended — which includes decisions about what constitutes appropriate, accurate, and helpful communication.
Safety evaluators who independently assess what AI systems do before and after deployment: Beth Barnes and METR, Geoffrey Irving at UK AISI, Dan Hendrycks at Center for AI Safety. These figures function as the auditors of AI communication — testing whether systems produce the responses their builders intended.
Communications professionals inside labs who manage how AI companies communicate about their own AI systems: Hannah Wong at Anthropic, Liz Bourgeois at OpenAI, Lila Ibrahim at Google DeepMind, Frank Shaw at Microsoft, Andy Stone at Meta. These are the practitioners who have done the most novel work in AI communications — explaining systems that are genuinely difficult to explain, managing crises with no precedent, and maintaining public trust in organizations operating at the frontier of AI capability.
Hannah Wong — Head of Communications, Anthropic
Hannah Wong has built the communications function at one of the most unusual companies in Silicon Valley history — a safety-focused AI lab that has simultaneously been one of the most technically credible and most commercially aggressive organizations in the field. Anthropic's communications challenge is specific: it needs to explain why the risks of AI are serious enough to justify the company's safety focus, while also explaining why building frontier AI is the right strategy for an organization committed to safety. Managing that tension publicly, consistently, and credibly is among the hardest communications jobs in the technology industry.
Liz Bourgeois — Communications, OpenAI
Liz Bourgeois was a senior communications operator at OpenAI through the post-ChatGPT period and the November 2023 board crisis — one of the most unusual and high-stakes corporate governance situations in recent technology history. The board fired Sam Altman. The company nearly imploded. Altman was reinstated within days. The entire episode played out in public, in real time, with the communications team managing an extraordinary volume of press and investor inquiry while the organizational situation was genuinely uncertain. Bourgeois's role in navigating that period placed her in the category of practitioners who have done novel AI communications work under real pressure.
Frank Shaw — Chief Communications Officer, Microsoft
Frank Shaw has been Microsoft's Chief Communications Officer since 2009 — one of the longest tenures as CCO at a major technology company in the industry. His responsibilities now include all communications for Microsoft Copilot, the OpenAI partnership, and Microsoft's AI Overviews integration across Bing and Edge. Shaw is managing the communications dimension of what may be the most significant technology transformation Microsoft has undertaken since the internet era — at a company where the stakes of AI visibility extend from consumer search to enterprise productivity to national security contracting.
Andy Stone — Vice President of Communications, Meta
Andy Stone oversees communications for Meta — including all AI-related communications for Meta AI, Meta Superintelligence Labs, the Llama open-source model strategy, and Ray-Ban Meta smart glasses with integrated AI. Meta's AI communications position is unique: it is the most open-source-aligned of the major labs, which requires a different kind of communications than the closed-model labs, and it operates AI at the scale of 3+ billion users across Facebook, Instagram, and WhatsApp simultaneously.
Lila Ibrahim — Chief Operating Officer, Google DeepMind
Lila Ibrahim is the Chief Operating Officer of Google DeepMind — the combined AI research organization formed from the merger of Google Brain and DeepMind. Her operational responsibilities include the communications and organizational function for an organization that is simultaneously a pure research lab (Nobel Prize-winning AlphaFold work) and the engineering team responsible for Gemini and Google AI Overviews. The DeepMind communications challenge is similar to Anthropic's: explaining safety-motivated research in the context of commercial AI deployment, while managing the expectations of both the scientific community and the Google consumer user base.
Why Lane 7 matters for the broader AI Communications field
The practitioners in Lane 7 are doing the most novel communications work in the industry. The AI lab communications context has no precedent: the products are genuinely unprecedented in capability and risk profile, the stakeholder set includes governments, researchers, enterprise customers, and billions of consumers simultaneously, and the communications obligations include explaining genuinely uncertain risks in ways that are accurate without being either alarmist or dismissive.
The methods these practitioners are developing — for communicating about AI risk, for managing AI-related crises, for maintaining public trust in organizations operating at the AI frontier — are the methods the broader communications industry will adopt as AI becomes a communications subject for every organization, not just AI labs.
Part of the AI Communications 100. Related: Lane 8: The Discovery Infrastructure Builders · AI Communications 100 Methodology · AI Communications & GEO: The Practitioner's Guide
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