The CEO of Upwork, Hayden Brown: AI is Creating Jobs, Not Killing Them

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Feb 5, 2026

Hayden Brown, CEO of Upwork and builder of a global freelance marketplace, explains how AI is reshaping work. She discusses programmatic AI adoption, redesigning workflows instead of retrofitting, and the rise of AI-plus-human fractional roles. Expect talk of AI agents that write job posts, the growing need for AI generalists, and practical reskilling via embedded freelance experts.

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ADVICE

Start With A Two‑Year Vision And Monthly Reviews

Set a clear two-year vision for each department to guide AI adoption and meet monthly to iterate.
Hold teams accountable with regular reviews to surface what's working and stop what isn't.

ANECDOTE

Uma Agent Began As A Tiger‑Team Prototype

A small tiger team prototyped an AI agent that could help clients before they knew whom to hire.
That idea became Uma, which now writes 70% of new client job posts on Upwork.

ADVICE

Reinvent Workflows, Don’t Sprinkle AI Dust

Reinvent workflows around AI instead of retrofitting old systems with 'fairy dust.'
Train and redefine people's roles alongside technology to capture real value.

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Is AI quietly creating more work than it’s replacing, and are we measuring the job market the wrong way?

In this episode of AI-Curious, we talk with the CEO of Upwork, Hayden Brown, about what the platform is seeing across the global freelance economy, and why the “AI is killing jobs” narrative can miss what’s happening at the edges of the market. We also dig into how to adopt AI inside an organization without just “sprinkling fairy dust” on old workflows, and what it takes to make AI rollout a cultural shift, not just a tooling upgrade.

Guest

Hayden Brown is the CEO of Upwork, the global work marketplace connecting businesses with freelance talent across knowledge-work categories. We discuss Upwork’s vantage point on hiring trends, the rise of fractional work, and what AI-driven change looks like when companies redesign workflows end-to-end rather than retrofitting existing systems.

Key topics we cover

03:50 — A global background and why opportunity access shapes the mission
05:27 — The scale of Upwork and why freelancing is a major part of the economy
07:14 — How we approached AI adoption as a structured, company-wide program
08:47 — Early “two-year vision” ideas that reshaped marketing and product workflows
11:34 — Reducing fear: how we framed AI internally, including room for mistakes
16:03 — Building an AI agent experience (and what it changed about job posts)
17:14 — Why “reinventing, not retrofitting” separates AI winners from strugglers
22:24 — Why macroeconomics can explain more than AI in hiring slowdowns
23:01 — The core claim: AI creating more opportunities than it’s destroying
24:05 — Fractionalization: how full-time jobs get broken into AI + human slices
25:09 — A concrete example of humans working alongside AI in production workflows
26:32 — From “prompt engineer” to “AI generalist”: orchestration becomes the ask
28:11 — Why the AI jobs debate is too binary, and what’s getting missed
31:43 — Practical reskilling: embedded experts who train teams while upgrading systems
36:29 — AI’s impact across unexpected categories, including creative work
39:15 — Five-to-ten-year outlook: humans as orchestrators, premium on human skills
43:22 — Career advice for early-career listeners in an AI-shaped job market
45:40 — Real-life AI use: editing, learning, and replacing the blank page problem

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