After 18+ months in the AI era, software companies that haven't re-accelerated growth have a team execution problem, not a market timing one. The capital and opportunities are too vast to miss. This failure to ship a relevant product and capture new revenue warrants drastic measures, including replacing a significant portion of the team.

The operating model for SaaS has inverted post-2021. Previously, growth came at the cost of declining efficiency ('200% headcount to grow 100%'). The new benchmark is to achieve hyper-efficiency at the margin, demanding teams grow revenue at double the rate of their headcount expansion.

The true ROI of AI lies in reallocating the time and resources saved from automation towards accelerating growth and innovation. Instead of simply cutting staff, companies should use the efficiency gains to pursue new initiatives that increase demand for their products or services.

AI allows companies to suppress their 'hunger' for new hires, even as revenues grow. This breaks the historical correlation where top-line growth required headcount growth, enabling companies to increase profits by shrinking their workforce—a profound shift in corporate strategy.

If hiring more people isn't increasing output, it's likely because you're adding 'ammunition' (individual contributors) without adding 'barrels' (the key people or projects that enable work). To scale effectively, you must increase the number of independent workstreams, not just the headcount within them.

According to the 'dark side' of Metcalfe's Law, each new team member exponentially increases the number of communication channels. This hidden cost of complexity often outweighs the added capacity, leading to more miscommunication and lost information. Improving operational efficiency is often a better first step than hiring.

Gamma's CEO resists the pressure to scale headcount aggressively, arguing that doubling the team size does not guarantee double the speed. He believes a smaller, more agile team can change direction faster, which is more valuable than raw speed in a rapidly evolving market.

Don't hire more reps until your current team hits its productivity target (e.g., generating 3x their OTE). Scaling headcount before proving the unit economics of your sales motion is a recipe for inefficient growth, missed forecasts, and a bloated cost structure.

Instead of abstract productivity metrics, define your AI goal in terms of concrete headcount avoidance. Sensei's objective is to achieve the output of a 700-person company with half the staff by using AI to bridge the gap. This makes the ROI tangible and aligns AI investment with scalable, capital-efficient growth.