Career and AI advice for the graduating class of 2025

Original source details coming soon.

Executive overview

Graduating into the AI era feels destabilising — degrees seem fragile, entry-level roles feel threatened, and the career map looks blank. The advice here cuts through that anxiety with a consistent message: adaptability, continuous learning, and hands-on AI fluency matter more than any specific credential.

A dozen founders, CEOs, and thinkers share what they'd say at the podium — from Reid Hoffman on strategic career choices, to Aaron Levy on becoming an AI power-user, to Rachel Botsman on the power of "I don't know."

The graduates who will win are not those who have the most certainty, but those who stay curious, stay learning, and treat disruption as an opening.

On choosing your first job

  • A job you don't love can still be strategic — evaluate it against where you want to be in two, five, or ten years.
  • Passion matters, but it is not sufficient on its own; pair it with what the market needs and what you're actually good at.
  • Doing any job is almost always better for your trajectory than doing no job.
  • Go for the manager, not the company. A great teacher opens worlds; a bad one ruins them. (Esther Perel)
  • Where you start is not where you will go. Your first role does not define your arc.

On AI fluency

  • Prompting skills are underestimated — nearly everyone is a "5% user" of AI's actual capability. (Reid Hoffman)
  • Become expert at using AI for daily work: research, data analysis, content, code. Treat poor AI fluency as a liability. (Aaron Levy)
  • Think strategically about which problems AI can be applied to, not just how to generate a response.
  • Young graduates are AI-native — that is a competitive advantage over more experienced colleagues, not a gap.
  • Apply human judgment, analytical thinking, and creativity on top of AI outputs; those remain the X factor.

On careers and disruption

  • The career landscape has always changed. Web design didn't exist a generation ago. AI accelerates the pace, not the nature, of change.
  • What college gives you is not X101 content — it's the capacity to learn and adapt.
  • New roles that don't yet exist will emerge. Treat your 20s as a decade of maximal experimentation, not a time to lock in a track. (David Risher)
  • Set an economic floor, then optimise above it for exploration and growth, not immediate compensation. (Spencer Rascoff)
  • No-code tools plus AI plus large platforms mean even non-engineers can now build products. The barrier to execution has collapsed. (Mike Lazaro)

On mindset and resilience

  • Iteration produces good outcomes — patience and tolerance for failure are skills, not personality traits. (Ben Teuber)
  • Stay curious, be kind, be empathetic. Losing a round doesn't end the game; failure is never a final result. (Guido Teuber)
  • "I don't know" are the three most important words in a career. Comfort with uncertainty and unknowing makes you more valuable in organisations. (Rachel Botsman)
  • Life is a team sport. The network built during college — people who know of opportunities, who can shake up a dead end — compounds over decades. (Reid Hoffman)
  • Surround yourself with people you can learn from. Be present. Many of the hardest struggles become the most enriching parts of a career in retrospect. (Austin Allison)

On building your own structure

  • Education provided an external infrastructure. Now build your own: a personal learning system, a vision, a set of goals. (Stacey Brown Philpott)
  • Use AI itself to identify new opportunities and map yourself to them — do not wait for clarity to appear.
  • Doing the work is not one piece of advice among many. It is the mechanism underlying every other piece of advice here.

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