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In the AI era, the default solution to a problem should shift from "who can I hire?" to "what AI loop can I build?" By first defining the jobs-to-be-done for a potential role and then creating AI agents to solve those tasks, founders can operate with much smaller, more efficient teams.
The most valuable startup employees ("10x joiners") leverage AI to execute at the level of a full team. Instead of looking to hire direct reports, they bring a suite of AI agents and workflows, enabling companies to achieve massive scale with tiny headcounts.
To find talent capable of managing an AI stack, traditional interviews are insufficient. A better test is to provide candidates with platform credits (e.g., Replit) and challenge them to build a functional agent that automates a real business task, proving their practical skills.
Instead of creating a virtual 'Product Manager,' effective AI involves specialized agents for discrete functions like prototyping, testing, or analytics. This redefines jobs by allowing a single person to orchestrate multiple functional agents, rather than simply creating a digital version of an existing role.
Shift the mental model from "building a workflow" to "hiring an employee." This focuses development on providing agents with the right knowledge (onboarding), context, and tools (a clear job description) to perform complex tasks autonomously.
Instead of hiring for a role like "video editor," break the job into its core tasks. Analyze which individual workflows can be automated with AI first. This shifts focus from headcount to outputs, revealing opportunities to augment or replace traditional roles with technology.
Before creating a new headcount for administrative or repetitive work, conduct a thought experiment: can an AI agent or an automation workflow fulfill these duties? This approach can reduce overhead and force a re-evaluation of how tasks are accomplished.
Instead of just augmenting existing roles, companies should deconstruct jobs into their component tasks. Analyze each task and reassign it to either a machine or a person based on what each does best. For example, remove 'prospect list building' from BDRs and centralize it with an AI-powered data team, freeing reps to focus on selling.
The key career strategy in the AI era is to shift from being an "occupant of a role" to an "owner of a workflow." Use AI not just to do your job faster, but to become so productive you can single-handedly deliver outcomes that previously required an entire team, thus making yourself irreplaceable.
AI agents will enable founders to maintain lean teams, replacing large departments with a few people and multiple agents. This approach avoids the bureaucratic friction and alignment challenges, like endless OKR meetings, that plague larger companies, making it easier to coordinate.
A significant shift in startup team-building is occurring. Even after closing a seed round, some founders now prefer deploying AI agents for key roles like Chief of Staff over hiring people. The retainability, continual improvement, and scalability of AI agents are making them a more attractive and less risky investment than human employees.