An internal AI-adoption stance that uses AI to optimize and speed up work existing team members already do — e.g. creative production, reporting — rather than to eliminate headcount. This stance is explicitly skeptical of headline AI-driven layoff narratives (e.g. attributed to Microsoft, Ford), treating AI as a productivity multiplier for current staff rather than a replacement mechanism.
Alvaro Lopez (Flooret) applies this by pointing internal AI tools at existing staff's specific outputs — faster creative asset production and faster board reporting — rather than at reducing headcount.
Apply: when introducing AI tooling internally, name the specific output it should speed up for the people already doing that work (e.g., creative production, reporting), rather than pitching it as a replacement for a role.