Phoenix 24
Efficiency is becoming a corporate language.
San Francisco, June 2026. Uber’s decision to cut 23 percent of its human resources, facilities and corporate culture division has reopened the central question haunting the technology sector: when companies say restructuring, how much of it is really automation? The company has stated that the layoffs affect less than 1 percent of its global workforce and do not include its millions of drivers and delivery workers, who operate as independent contractors. Still, the symbolism is difficult to ignore.
The affected area is revealing. Human resources is one of the corporate functions most exposed to automation because recruitment, onboarding, internal support, employee data analysis and administrative workflows can now be partially handled by software and artificial intelligence systems. Uber denies that the cuts were directly caused by AI, but the broader labor market is already moving through a transition where fewer people may be required to manage larger organizational systems.
The timing also matters. The adjustment comes after Jill Hazelbaker assumed the presidency of the company, suggesting an internal reorganization aimed at efficiency, operational control and a leaner corporate structure. In Silicon Valley, these moves are rarely isolated. They are part of a wider managerial doctrine that rewards smaller teams, faster execution and technology-assisted processes, especially in companies under pressure to protect margins and demonstrate discipline to investors.
The deeper issue is not whether AI personally “fired” anyone. That framing is too simplistic. The real shift is structural: artificial intelligence is becoming a silent benchmark against which human departments are measured. If software can accelerate screening, documentation, internal communications or compliance tasks, management begins to redefine what a “normal” headcount should be. Automation does not need to replace every worker to reshape the value assigned to labor.
For Uber, the contradiction is familiar. The company built its global model on flexible labor outside traditional employment structures, while its corporate core remained organized around conventional departments. Now, even that internal layer is being compressed. The platform economy that once disrupted drivers, taxis and delivery systems is increasingly turning its efficiency logic inward.
This is why the layoffs matter beyond Uber. They show how AI is changing the politics of work even when companies avoid presenting it as the main cause. The future of employment may not arrive through a dramatic replacement narrative, but through quieter reorganizations where roles disappear, teams shrink and productivity expectations rise. In that landscape, the central question is not whether AI had something to do with it. The question is how much corporate labor can still defend its place when efficiency becomes the highest institutional value.
La narrativa también es poder. / Narrative is power too.