Jason Lemkin's company, SaaStr, transitioned from a go-to-market team of roughly 10 humans to just 1.2 humans managing 20 AI agents. This new, AI-driven team is achieving the same level of business performance as the previous all-human team, demonstrating a viable new model for sales organizations.

SaaStr's AI marketing agent "10k" analyzes data, ideates campaigns, segments lists, and writes copy without human intervention. This moves beyond simple automation to proactive, strategic marketing tasks, even operating on weekends.

The next evolution of work will involve humans acting as orchestrators for "swarms" of specialized AI agents. A manager will direct a team of agents—each trained for a specific function like email marketing or media buying—to collaboratively execute complex projects with high levels of autonomy.

SaaStr's AI VP of Marketing doesn't perform high-level strategy. Instead, it automates the tactical work of multiple junior roles—marketing analyst, ops coordinator, and content marketer—while handling a small but growing slice of a human VP's duties, freeing them up for strategic work.

The modern marketing team's structure is being reimagined by AI. Instead of a large team of specialists, a single, highly-skilled marketer leveraging AI agents and automation can manage data, run campaigns, and create feedback loops. This forces PE firms to re-evaluate headcount and seek AI-native talent.

A sufficiently advanced agent, like an AI VP of Marketing, can be a better manager for junior staff than a human. It can provide constant, data-driven tasks and feedback, ensuring the human employee is always focused on high-impact, execution-oriented work.

The concept of an employee is evolving to "Bring Your Own Agent" (BYOA). A single individual, equipped with their personally trained AI agents, can manage the output of an entire department, such as marketing. This creates massive leverage and earning potential for skilled individuals.

The shift to automated workflows creates a new critical role: the marketing engineer. This person isn't a traditional coder but a strategist who orchestrates, prompts, and validates AI agents. They will manage technology workflows instead of a large human team executing manual tasks.

Rather than simply eliminating jobs, the rise of AI agents is creating a need for new, specialized roles. Positions like "Go-to-Market Engineer" and "AI Marketing Ops Specialist" are emerging to oversee, coach, and orchestrate these agents, signaling a transformation—not a reduction—of the GTM workforce.