Reid Hoffman

Reid Hoffman is a Partner at Greylock — co-founded LinkedIn, the professional network acquired by Microsoft, and recently published a book on AI Superagency.

Reid Hoffman co-founded LinkedIn, building it into the defining professional social network before its acquisition — then moved to Greylock as a Partner, where he's been investing in early-stage technology companies ever since. The through-line across his career is an obsession with consumer network effects and the compounding dynamics of platforms at scale. He's a prolific public thinker: books and podcasts on entrepreneurship and blitzscaling gave way to a sustained focus on AI ethics, responsible innovation, and AI's impact on work and leadership. In 2026 he's been particularly active on AI Superagency — interviewed by Bernard Marr in May 2026 on what leaders need to know about the AI advantage, and featured in a Forbes conversation on AI safety in 2025. His content themes cluster around AI-driven change, the future of software, and how founders should think about network effects. He keeps a site at reidhoffman.org with essays and insights on entrepreneurship, AI, and technology strategy.

Greylock has been on a notable deployment run in early 2026. In March 2026, it led a $54 million round for Axiamatic, an agentic platform for enterprise transformation that emerged from stealth backed by Greylock and Bessemer Venture Partners. The month before, in February 2026, Greylock co-invested in a $53 million round for Cogent — an AI cybersecurity company targeting the gap between detecting and remediating software vulnerabilities — alongside Bain Capital Ventures and Definition. In December 2025, Greylock led a Series A for 7AI, a cybersecurity startup that has raised $166 million in total across two rounds. The portfolio also had two high-profile exits in late 2025: Chronosphere was acquired by Palo Alto Networks for $3.35 billion in November, and Figma listed on the NYSE at $13.5 billion in December.

Greylock is one of the oldest venture capital firms in Silicon Valley, founded in 1965, and counts 19 unicorns, 24 IPOs, and 224 acquisitions in its portfolio history, including Facebook, Okta, and Coinbase. Its current investment thesis centers on AI-first companies and enterprise software, with particular emphasis on cybersecurity — a bet visible in recent deals across Cogent, 7AI, and the earlier Wiz and Dazz positions. Its main competitors in the venture market include Bessemer Venture Partners and Bain Capital Ventures, both of which it frequently co-invests alongside, and SV Angel.

Hoffman sits alongside partners including Asheem Chandna, Jerry Chen, David Sze, and David Thacker at Greylock. Saam Motamedi, named the firm's youngest General Partner, is an increasingly visible figure on AI and infrastructure deals — he led Greylock's seed in Cogent. Bernard Marr has become a frequent amplifier of Hoffman's views on AI infrastructure and leadership, featuring him across multiple interviews in 2025–2026.

  • Long tenure as a Greylock partner following the LinkedIn co-founder arc → thinks in decade-scale platform bets, not quarterly cycles.
  • Hybrid role type (operator-turned-investor) → brings founder empathy into the boardroom; likely evaluates founders on how they think about network effects, not just TAM.
  • Books, podcasts, and a personal website (reidhoffman.org) alongside active speaking in 2025–2026 → highly public-facing, comfortable being the spokesperson for a point of view, not just a capital allocator.
  • Public themes have shifted from entrepreneurship/blitzscaling to AI ethics and AI Superagency → he's moved from explaining how to build to arguing about what should be built and at what pace.
  • Content themes include responsible AI innovation alongside AI's impact on work and leadership → likely brings a normative lens (what ought to happen) into investment conversations, not just a market lens.

Conversation tips

  • Reference his AI Superagency framing specifically — the May 2026 Bernard Marr interview is recent enough that he'll be deep in that thinking right now.
  • Ask about network effects at scale: LinkedIn was the proof-of-concept for his investment thesis, and he's been refining that model for two decades.
  • Don't just ask about AI broadly — he's written and spoken enough to have precise opinions; ask about the gap between AI's potential and responsible deployment, where he has a declared position.
  • He's a builder who became an investor, so questions that treat him as a pure capital allocator will land flat — frame around what he's building or enabling, not just what he's funding.
  • Name something specific from reidhoffman.org or his podcast work — he maintains that property deliberately, and engaging with its content signals you did the homework.
  • Open on AI Superagency — his May 2026 conversation with Bernard Marr on what leaders need to know is his freshest public frame, and it signals where his head is right now.
  • Reference Greylock's back-to-back March and February 2026 deals in Axiamatic and Cogent — two AI-native bets in enterprise transformation and cybersecurity within six weeks signals a deliberate thesis, worth asking him to articulate.
  • Lead with LinkedIn as the origin of his network-effects thesis — he co-founded the company that defined professional social networking, and his entire investment worldview flows from what he learned building and scaling it.
  1. Your Cogent and Axiamatic deals in early 2026 both bet on AI agents in enterprise contexts — what's the shared thesis, and where do most founders get that category wrong?
  2. The Chronosphere exit to Palo Alto Networks and Figma's NYSE listing both closed in late 2025 — how do those outcomes shape what you're willing to back at seed stage now?
  3. You've shifted your public writing from blitzscaling toward AI ethics and responsible innovation — at what point does the 'responsible AI' framing become a constraint on the founders you want to fund?

Don't treat him as a generalist AI cheerleader — he has a developed and public position on responsible AI and ethics, and surface-level enthusiasm for AI speed will signal you haven't engaged with his actual views.

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Generated by briefthecall.com from public web sources on June 16, 2026. Each claim is linked to its source above.

Automatically generated by AI from public sources. May be inaccurate or out of date. Remove or correct this profile →