The First 10 People in a Startup May No Longer All Be People: How AI Agents Are Rewriting the Early-Stage Org Chart

The foundational hires at an early-stage startup have long been considered the lifeblood of the company, setting the cultural tone, establishing operational rhythms, and driving initial product development. However, the definition of an early team is undergoing a profound transformation. Increasingly, launching a new capability or scaling an operation does not automatically require bringing on a new human employee.

Advanced artificial intelligence agents are beginning to autonomously handle complex engineering tasks, customer support workflows, deep market research, and day-to-day operational duties that would have historically been delegated to the first handful of team members. For contemporary startup founders, this paradigm shift introduces a complex strategic dilemma long before they even open a formal job requisition or pitch venture capitalists: What responsibilities should remain strictly in human hands, and what workflows should be delegated entirely to AI?

This emerging reality will take center stage at TechCrunch Disrupt 2026, where an elite panel of industry leaders will dissect the phenomenon. 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, are slated to appear together on the Builders Stage for an insightful, highly anticipated session titled “Hiring When AI Is a Co-Founder.”

The discussion will explore how modern early-stage companies are successfully building hybrid organizations where human professionals and AI agents work side by side. Crucially, the panelists will address how founders can navigate this unprecedented integration without sacrificing organizational speed, personal accountability, or company culture.

The event is set to take place at Moscone West in San Francisco from October 13 to 15, drawing more than 10,000 startups, venture capitalists, and technology decision-makers eager to explore the strategies required to build and scale the next generation of enterprises.

The First 10 People in a Startup May No Longer All Be People

For any early-stage enterprise, every single hiring decision represents a delicate and high-stakes trade-off balancing capability, financial burn rate, and execution speed. The introduction of autonomous AI agents adds a powerful new variable to this equation.

Modern engineering tasks, multichannel customer support, and intricate operational back-office work can increasingly be delegated to autonomous systems. Unlike legacy software tools that merely assisted an employee in completing a project, today’s agents are capable of executing multistep tasks from end to end. This technological leap grants founders a rare opportunity to fundamentally rethink what their earliest teams should actually look like.

Instead of automatically asking the traditional question of who to hire next, the starting point for founders is shifting. The foundational inquiry is becoming: What work actually needs to be done, and is a human being the best vehicle to accomplish it? That distinction carries profound implications for the future of work.

Delegating complex workloads to an AI agent can undoubtedly help a lean team move with unprecedented velocity, but it simultaneously introduces novel questions surrounding corporate governance and ownership. Who audits the agent’s work? Who holds the ultimate decision-making authority? What protocol is triggered when an autonomous agent makes a critical error? Furthermore, founders must determine which organizational responsibilities are simply too vital, nuanced, or sensitive to delegate to a machine. For companies building AI-native startups from day zero, these are no longer abstract, theoretical exercises.

Josh Reeves brings a uniquely broad vantage point to these shifts through his work at Gusto. Serving more than 500,000 businesses across the United States, Gusto manages payroll, benefits, compliance, onboarding, human resources, and retirement services. By combining cutting-edge artificial intelligence with more than a decade of deep operational experience serving small and medium-sized businesses, Gusto sits remarkably close to the day-to-day economic realities of companies deciding how—and precisely when—to expand their human teams.

Michelle Johnson approaches the challenge through the lens of startup scaling and go-to-market execution. At Insight Partners, she collaborates directly with CEOs and chief revenue officers across North America and Europe, advising them on revenue organization structures, go-to-market strategies, and pragmatic AI implementation. Prior to her tenure at Insight Partners, Johnson played a pivotal role in scaling Flock Safety from less than $1 million to $90 million in annual recurring revenue as an early sales and revenue operations leader.

Her perspective raises a distinct set of operational questions for modern enterprises. If AI agents can autonomously research prospective clients, draft personalized outreach, analyze complex customer data sets, and manage substantial portions of the traditional sales pipeline, what should human members of a revenue team focus on? Consequently, how should this technological capability reshape the specific core competencies and skills that a startup prioritizes when evaluating human candidates?

John Koelliker sits squarely at the complex intersection of human talent acquisition and artificial intelligence. As the CEO and co-founder of Leland, a career development and talent platform built for the modern labor market, Koelliker draws on extensive product and growth experience gained at industry heavyweights like LinkedIn, Curated, and Uber. His work with Leland centers entirely on understanding how professionals develop and apply vital skills during a period of massive labor market disruption.

Together, these three leaders embody distinct vantage points on a singular, overarching challenge: How do founders design a startup organizational chart when significant portions of the core workload can be executed by autonomous software agents from day one?

What Should People Still Own vs. AI?

Despite the remarkable capabilities of modern generative systems, some of the most critical decisions inside a high-growth startup remain exceptionally difficult to reduce to a predictable workflow or algorithmic formula.

Founders must grapple with fundamental human questions. Who truly understands the evolving, emotional needs of customers? Who possesses the courage to challenge a deeply flawed strategy? Who takes personal, emotional responsibility when a major venture fails? Who builds authentic relationships, inspires and motivates a weary team, or recognizes when analytical data is pointing the organization in the wrong direction? As AI agents become increasingly sophisticated and autonomous, these distinctly human capabilities may become vastly more important, rather than less.

The role of an early employee in an AI-native startup may increasingly be defined by high-level judgment, deep ownership, and the unique ability to orchestrate both human colleagues and autonomous machines, rather than simply executing a higher volume of discrete tasks. This evolution will inevitably ripple across the broader startup ecosystem, altering investor expectations and career trajectories alike.

Early-stage companies have always competed fiercely on their foundational ability to do more with significantly less capital and manpower. Artificial intelligence agents threaten to take that core entrepreneurial principle to an entirely unprecedented extreme.

Yet, a successful enterprise remains far more than the mere sum of the isolated tasks it completes. Founders still desperately require people who can exercise nuanced judgment, assume personal accountability, empathize deeply with customers, and cultivate the resilient culture around which a sustainable business can grow.

The primary operational challenge facing modern entrepreneurs is determining precisely where those human team members create the absolute greatest strategic value, and where an autonomous agent can shoulder the burden instead. That vital conversation will unfold live on the Builders Stage at Disrupt 2026.

Attendees joining Reeves, Johnson, and Koelliker will gain a front-row seat to the future of organizational design, exploring what happens when artificial intelligence ceases to be merely a helpful utility and officially becomes an integral part of the core team. The broader conference offers ample opportunity to continue those strategic discussions alongside thousands of fellow founders, visionary investors, and technical operators across Moscone West, the bustling Expo Hall, and the Startup Battlefield 200.