Mary Fung

Guide

How to build a team that wins in the AI age

A plain-English guide to building teams that use AI to improve real work, not just create more activity.

Chapter list

Start with the first chapter for the argument, or jump to the section you want to review.

  1. 1The real AI shiftJune 2, 2026AI is not just another productivity tool. It changes what becomes cheap, what becomes scarce, and what weak teams can no longer hide.
  2. 2What an AI-enabled team actually isJune 4, 2026An AI-enabled team is not a team with access to AI. It is a team whose work changes because AI is part of how it thinks, builds, checks, and ships.
  3. 3High agency in the AI ageJune 6, 2026High agency is not a personality slogan. It is the ability to turn ambiguity into movement without waiting for the world to become tidy first.
  4. 4Developers becoming business peopleJune 8, 2026AI may help developers move into business thinking faster than it helps business people become real developers. The reason is judgment, not syntax.
  5. 5Business people becoming buildersJune 10, 2026AI gives non-technical people more power to prototype and test. It does not remove the need to understand what makes a product real.
  6. 6The end of single-lane workJune 12, 2026AI rewards people who can borrow other disciplines' lenses without pretending to be experts in all of them.
  7. 7From ideas to shipped valueJune 14, 2026AI creates more ideas than any team can use. The advantage goes to the teams that can decide, build, adopt, and retire work.
  8. 8Culture without the jargonJune 16, 2026Culture is what gets tolerated, rewarded, repeated, and promoted. AI makes that visible very quickly.
  9. 9Motivation, standards, and ruthlessnessJune 18, 2026The question is not how to force people to work. It is how to tell the difference between unclear, blocked, unwilling, and below the standard.
  10. 10Hiring for the AI ageJune 20, 2026The hiring signal is not who knows the newest tool. It is who can learn, judge, translate, and own the result.
  11. 11Building the right team compositionJune 22, 2026The team needs more than idea people. It needs the mix required to move from problem to system to adoption.
  12. 12Managers in the AI ageJune 24, 2026Managers do not need to be the best prompt writers. They do need to understand how AI changes the work they are judging.
  13. 13Operating rhythm for AI-enabled teamsJune 26, 2026AI enablement needs a cadence that turns experiments into decisions, patterns, and stopped work.
  14. 14Measuring AI team progressJune 28, 2026The easy AI metrics count activity. The useful metrics show whether the work, quality, cost, or customer experience changed.
  15. 15Common failure modesJune 30, 2026Most AI team failures are predictable: too many tools, too little judgment, too many prototypes, and no owner for what happens next.
  16. 16The AI-enabled employee playbookJuly 2, 2026The safest career move is not becoming a tool directory. It is becoming more valuable at framing, judging, improving, and owning the work.
  17. 17The AI-enabled leader playbookJuly 4, 2026Leaders need to set the standard, pick the right workflows, create permission and pressure, and make subtraction part of the plan.
  18. 18Practical frameworks and worksheetsJuly 6, 2026AI adoption needs artifacts that force better decisions: readiness checks, experiment filters, workflow maps, and plain review templates.
  19. 19The closing argumentJuly 8, 2026AI will not make every team great. It will widen the gap between teams that can learn and ship and teams that can only create activity.
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