Don't view AI through a cost-cutting lens. If AI makes a single software developer 10x more productive—generating $5M in value instead of $500k—the rational business decision is to hire more developers to scale that value creation, not fewer.

AI is breaking the traditional link between revenue growth and hiring. Like the drug Ozempic helps achieve weight loss, AI helps companies achieve financial growth with fewer employees. Boards now expect CEOs to deliver 'more with less,' a trend solidified by Meta's success in growing revenue while cutting headcount.

Contrary to the popular job-loss narrative, companies heavily using AI are growing faster and hiring more people to manage increased demand. Studies from Wharton and hiring data from platforms like Indeed show that AI tools create leverage, enabling new businesses and expanding existing ones, thus increasing the overall need for human workers in new or adapted roles.

Contrary to fears of mass job replacement, businesses are primarily leveraging AI as a growth engine. Instead of simply cutting operational costs, firms are using AI-driven productivity gains to take on more clients, increase their scope of work, and capture greater market share, reframing the technology's impact as expansionary.

Companies are using AI as a publicly acceptable rationale for layoffs that are actually aimed at reducing post-pandemic organizational bloat. The market rewards this narrative, even though the cuts are more about preparing for a future with AI rather than a reflection of current AI-driven efficiencies.

While AI-driven efficiency is an obvious first step, it often results in workforce reduction if company growth is flat. True differentiation and sustainable advantage come from using AI for innovation—creating new products, markets, and business models to fuel growth.

Long Lake focuses on using AI to drive top-line growth and enhance customer experience, not to cut costs. By making employees more productive, they can serve more customers, fueling organic growth from 0-5% to over 20% annually. This proves AI can be a positive-sum tool that creates jobs by enabling expansion.

The 10x productivity boost AI gives engineers won't lead to mass layoffs at top tech companies. Instead, they will retain their talent to accelerate roadmaps, improve quality, and out-compete rivals. This transforms the productivity gain into a competitive advantage rather than just a cost-saving measure.

Atlassian laid off 10% of its workforce, explicitly citing the "AI era" as the cause. This is a significant moment, as it's a strategic repositioning for an AI-first future, not a cost-cutting measure due to poor performance. Their revenue was actually up 26%, demonstrating that AI's impact on jobs is delinked from company growth.