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AI Founder Perspectives7 min

Reid Hoffman on AI and the Future of Work: What Superagency and His Career Advice Say

What LinkedIn co-founder Reid Hoffman has argued about AI and work: the Superagency case for optimism, his advice to graduates, and where he is betting on AI.

Based on public statements and interviews. This is a journalistic profile, not a direct interview.

By NorwegianSpark Editorial — written with AI assistance and reviewed by the NorwegianSpark SA editorial teamLast updated: September 30, 2026
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This is ToppAgent's editorial analysis of Reid Hoffman's publicly stated positions. It is not an interview and contains no direct quotations — every point below is our paraphrase, and each section names the published source it comes from.

The Short Answer

Reid Hoffman is one of the most prominent optimists about AI and work. In his 2025 book Superagency, written with Greg Beato, he argues that AI can expand what individual people are able to do, and that the public conversation should ask what could go right, not only what could go wrong. His career advice follows from that: in a June 2025 opinion piece he told graduates that trying to AI-proof a career is not enough, and that the better move is to use the tools to build things, publicly, while investing in human relationships that automation cannot replace.

Who Reid Hoffman Is

Hoffman co-founded LinkedIn in 2002 and became a partner at the venture firm Greylock in 2009. He was among the first donors to OpenAI in 2016, later sat on its board and resigned that seat in March 2023. He co-founded Inflection AI with Mustafa Suleyman, and in January 2025 launched Manas AI, a drug-discovery startup, with the cancer researcher Siddhartha Mukherjee. He hosts the podcast Masters of Scale and, since March 2023, Possible with Aria Finger. (Background from his Wikipedia biography, read 30 September 2026.)

Superagency: The Case for Asking What Could Go Right

Superagency: What Could Possibly Go Right With Our AI Future was published on 28 January 2025. As the book's own site presents it, the argument is that AI can strengthen individual agency — in learning, health and complex decisions — and help with large problems, and that treating the technology mainly as a threat leads to worse choices than engaging with it. The subtitle is the thesis: the question he wants asked is what could go right.

That does not make it a claim that nothing will go wrong. It is an argument about where to put attention and effort: shape the technology by using it and improving it, rather than waiting on the sidelines.

His Career Advice: Using AI Beats Hiding From It

In "Move fast and make things", an opinion piece in The San Francisco Standard dated 15 June 2025, Hoffman addresses graduates entering a job market reshaped by AI. Paraphrased, his points are:

  • Looking for ways to protect a career from AI is reasonable but insufficient; the stronger strategy is to use AI to create opportunities.
  • Young people adopt new tools faster than established professionals, which is an advantage if they use it.
  • Intention and self-direction — the ability to build without waiting for permission or credentials — matter more than any single technical skill.
  • Working on problems you care about, and documenting what you learn in public, builds credibility and a network.
  • Relationships and trust become more valuable precisely because they do not scale the way automated systems do.

Where He Is Putting His Own Money and Time

Hoffman's own projects show which kind of AI he is betting on. Manas AI applies AI to drug discovery, a field where faster research could matter to patients. That fits the book's emphasis on AI as an amplifier of expert human work rather than only a replacement for routine tasks.

How to Use This Framework When Choosing AI Tools

This part is ToppAgent's reading, not Hoffman's. If you take his argument seriously, the useful question about any AI tool is whether it expands what you can do or only does what you already did, slightly faster:

  • Agency test: after a month, can you take on work you could not do before?
  • Judgement test: does the tool leave the important decisions with you, and make them easier to check?
  • Relationship test: does it free time for clients, colleagues and customers, or eat it?
If you are building those skills from scratch, how to learn AI skills in 2026 is a roadmap for non-technical professionals, and will AI agents replace your job? looks at the question from the other side. For a contrasting founder view, read what Arvid Kahl has written about AI and bootstrapping.

Sources: the Superagency book site (superagency.ai) and publication details, Reid Hoffman's opinion piece "Move fast and make things" (The San Francisco Standard, 15 June 2025), and his Wikipedia biography for career facts, all read on 30 September 2026. Paraphrased throughout; no direct quotations.

Related profiles: What Sam Altman Has Said About OpenAI's Future | What Dario Amodei Has Said About Safety-First AI | What Arvid Kahl Has Said About Bootstrapped AI | What Pieter Levels Has Said About Solo AI Businesses | All Founder Perspectives

Frequently Asked Questions

Who is Reid Hoffman?

The co-founder of LinkedIn (2002), a Greylock partner since 2009, one of OpenAI's first donors and a former OpenAI board member, co-founder of Inflection AI and, since January 2025, of the drug-discovery startup Manas AI.

What is Reid Hoffman's AI book?

'Superagency: What Could Possibly Go Right With Our AI Future', written with Greg Beato and published on 28 January 2025. It argues that AI can expand individual agency and that the debate should ask what could go right.

What career advice has Reid Hoffman given about AI?

In a June 2025 San Francisco Standard opinion piece he argued that trying to AI-proof a career is not enough: use AI to build things, act with self-direction, learn in public and invest in relationships, which do not scale like automation.

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