AI agents reshape startup hiring: Founders rethink what roles need humans

The first few people a startup hires have always shaped what the company becomes. But that calculus is shifting. At TechCrunch Disrupt 2026, three executives will sit down to discuss a question that would have seemed absurd five years ago: Does your next hire actually need to be a person?

AI agents are now capable of handling engineering work, customer support, research, and operational tasks that startups have traditionally assigned to their earliest employees. For founders, this creates a fork in the road before they even write a job description. The old question was: Who do we hire next? The new one is: What work needs to be done, and is a person the best way to do it? That distinction matters because it changes everything about how a small team thinks about growth.

The panel brings together three perspectives on this shift. Josh Reeves, CEO and co-founder of Gusto, sits close to the ground-level reality of how companies actually grow. Gusto serves more than 500,000 companies across payroll, benefits, compliance, onboarding, HR, and retirement—which means Reeves watches daily how founders decide when and how to expand their teams. Michelle Johnson, senior vice president at Insight Partners, works with CEOs and revenue leaders across North America and Europe on go-to-market strategy and AI implementation. She previously helped scale Flock Safety from under $1 million to $90 million in annual recurring revenue as an early sales and revenue operations leader, giving her a founder's view of what happens when you delegate parts of the sales process to machines. John Koelliker, CEO and co-founder of Leland, a career and talent platform built for the AI era, brings experience from product and growth roles at LinkedIn, Curated, and Uber—and now runs a company focused on how people develop skills in a labor market that is visibly changing.

The practical stakes are real. When an AI agent can research prospects, prepare outreach, analyze customer data, or manage parts of a sales workflow, what should the human members of a revenue team actually do? When machines can handle multistep engineering tasks or customer support tickets, what kind of early employee creates the most value? These are no longer theoretical questions. They are decisions founders are making right now.

But the panel is also grappling with something harder to systematize. Some of the most important work inside a startup resists delegation to a workflow. Who understands what customers actually need? Who pushes back on a flawed strategy? Who takes responsibility when something fails? Who builds relationships, motivates a team, or recognizes when the data is pointing in the wrong direction? As AI agents become more capable, those questions may become more important, not less.

The implication is that the role of an early employee is being redefined. Instead of being hired to complete a large volume of tasks, the first people a founder brings on may increasingly be valued for judgment, ownership, and the ability to direct both people and machines. That has ripple effects across the entire startup ecosystem—changing what skills matter, what founders should prioritize when hiring, and what it means to build a company rather than just build a product.

Startups have always competed on doing more with less. AI agents could take that principle much further. But a company is more than the sum of the tasks it completes. Founders still need people who can make decisions, take responsibility, understand customers, and create the culture around which a business grows. The challenge is deciding where those people create the greatest value—and where an agent might do the job instead. That conversation will take place on the Builders Stage at Disrupt, October 13–15 at Moscone West in San Francisco, with 10,000 founders, investors, and operators present to listen and continue the discussion.