The best defense against being replaced by AI is to become the person who best leverages it. If a firm uses AI to shrink a department, the employees who are most proficient with the new tools will become indispensable managers of the technology, not its victims.

Frame internal AI initiatives not as a way to replace employees, but to automate their chores. This frees them to move 'up the stack' to perform higher-value functions like client relations, creative strategy, and founder meetings, ultimately increasing overall output.

Companies once hired siloed 'digital experts,' a role that became obsolete as digital skills became universal. To avoid repeating this with AI, integrate technologists into current teams and upskill existing members rather than creating an isolated AI function that will fail to scale.

Instead of viewing new technology like AI as a threat that will empower customers, see it as a tool to radically improve your own operational efficiency. Use it to cut headcount, increase margins, and generate cash flow to reinvest in growth.

GM's layoff of over 10% of its IT department wasn't a simple cost-cutting measure. It was a "deliberate skills swap," clearing out workers with outdated expertise to hire a smaller number of AI-native employees. This strategy of replacing, rather than just reducing, will become a common workforce transformation model.

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.

Expect a massive talent reshuffle in the next 12-24 months. Companies won't just lay off staff; they'll simultaneously rehire for different, "AI-first" roles. A company might cut 30,000 jobs while adding 8,000 new ones with entirely different skill sets, prioritizing builders over information movers.

Instead of laying off employees due to AI efficiencies, companies should reallocate them to new, critical roles. These experienced employees, including AI skeptics, possess the institutional knowledge to vet new AI workflows, test for vulnerabilities, and build the guardrails needed to prevent costly failures like Amazon's recent outage.

Companies are laying off knowledgeable talent in favor of AI, believing it's a simple efficiency gain. This is a strategic error. AI can only process existing information; losing the human experience that generates novel insights creates an intellectual void that the organization can never recover.