AI in HR: What to Expect at Disrupt 2026
▼ Summary
– AI agents are increasingly taking over engineering, support, and operational tasks previously handled by early startup hires.
– Founders must now decide which responsibilities to delegate to AI versus retaining for human ownership to maintain accountability.
– A session at TechCrunch Disrupt 2026 will feature experts discussing how to build teams where humans and AI collaborate effectively.
– The event highlights strategies for balancing speed, culture, and decision-making in AI-native companies.
– Attendees can register for the San Francisco event with discounts available before a specific deadline.
Artificial intelligence agents are rapidly reshaping the foundational structure of early-stage companies. For founders, the traditional assumption that every new capability requires a new human hire is becoming obsolete. Instead of filling roles for engineering, customer support, research, and operations with employees, many startups are delegating these functions to AI systems. This shift forces leaders to ask a critical question before posting any job requisition: which responsibilities belong to humans, and which should be assigned to AI co-founders?
At TechCrunch Disrupt 2026, this evolving dynamic will be the focus of a dedicated session on the Builders Stage titled “Hiring When AI Is a Co-Founder.” The panel features Josh Reeves, CEO and co-founder of Gusto; Michelle Johnson, senior vice president at Insight Partners; and John Koelliker, CEO and co-founder of Leland. They will discuss how early-stage teams can integrate human workers and AI agents without compromising speed, accountability, or company culture.
Rethinking the First Ten Hires
In the initial phases of a startup, every hiring decision involves balancing capability, cost, and velocity. AI agents introduce a third variable that changes this equation. Systems capable of executing complex, multistep workflows now handle tasks that previously defined the roles of early team members. This allows founders to pivot their strategy from asking who to hire next to determining what work actually needs to be done and whether a person is the most efficient vehicle for it.
Delegating operational work to AI can accelerate small teams, but it introduces significant complexities regarding ownership. Founders must determine who verifies the output, who holds final decision-making authority, and how to handle errors when an agent fails. These are no longer abstract concerns for companies building AI-native startups. The distinction between manual execution and strategic oversight becomes the defining characteristic of modern early-stage teams.
Three Perspectives on the AI-Native Team
The upcoming discussion brings together three distinct viewpoints on integrating AI into workforce structures. Josh Reeves represents the perspective of scale and breadth. As the leader of Gusto, which serves over 500,000 companies in payroll, benefits, compliance, and HR, he observes firsthand how small businesses navigate the integration of AI alongside a decade of experience serving the SMB market. His insights reflect the day-to-day realities of companies deciding how to grow their teams in an automated era.
Michelle Johnson offers a view from the venture capital side. At Insight Partners, she advises CEOs and CROs across North America and Europe on go-to-market strategies and AI implementation. Her background includes helping scale Flock Safety from under $1 million to $90 million in annual recurring revenue as an early sales leader. She raises critical questions about the future of revenue teams: if AI handles prospect research, outreach preparation, and data analysis, what specific skills should startups prioritize when hiring human talent?
John Koelliker sits at the intersection of talent development and technology. As the head of Leland, a career platform designed for the AI age, he draws on his experience at LinkedIn, Curated, and Uber. His focus is on how individuals develop and apply skills in a labor market that is constantly shifting. Together, these three leaders provide a comprehensive look at designing startup teams where agents contribute from day one.
Defining Human Ownership in an Automated World
As AI capabilities expand, some of the most vital startup decisions remain resistant to automation. Determining true customer needs, challenging flawed strategies, and taking responsibility for failures require human judgment. Building relationships, motivating staff, and recognizing when data points in the wrong direction are also inherently human tasks. Rather than simply increasing output volume, the role of early employees is increasingly defined by their ability to direct both people and machines.
Founders must decide where humans create the greatest value and where agents can effectively substitute for them. A company is more than just a collection of completed tasks. It requires people who can make high-stakes decisions, foster culture, and understand the nuanced needs of customers. The challenge lies in identifying those areas of high-value human intervention while leveraging AI for efficiency.
Join Josh Reeves, Michelle Johnson, and John Koelliker on the Builders Stage at Moscone West in San Francisco from October 13–15. This event brings together over 10,000 startups, investors, and tech decision-makers to explore the future of scaling companies. Register now to save up to $200 on your Disrupt pass before rates increase on September 25 at 11:59 p.m. PT. Group registrations offer an additional discount of up to 30%.
(Source: TechCrunch)
