Workers describe a deteriorating culture at Jack Dorsey's Block as morale plunges amid rolling layoffs and a push to use AI tools to improve productivity
Workers describe a deteriorating culture at Block, the company behind Square and Cash App, where layoffs continue and employees are expected to use AI tools daily.
Context & Ripple Effects
Block's workforce pressure was already visible in reports that jobs could be eliminated during annual performance reviews, putting up to 10% of the workforce at risk. This account adds the employee-level consequence: the cuts and daily AI-use mandate are being experienced together rather than as separate initiatives.
The story also sits in a longer arc of deeper Dorsey involvement at Square during an earlier period of strain, followed by reporting on a 40% reduction in Block's workforce and Dorsey's “mini AGI” ambition. That sequence makes workplace adoption of AI central to Block's operating model, not simply an optional software rollout.
First-order effects
- Block employees face a more uncertain working environment as rolling job cuts coincide with an expectation to use AI tools daily; morale and trust are the immediate operational costs.
- Management gains a clearer mechanism to standardize productivity expectations around AI across the company, while Square and Cash App teams must absorb the disruption of fewer or changing colleagues.
Second-order effects
- Teams may prioritize work that can be demonstrated, measured, or accelerated through AI tools, shifting managers' evaluation criteria and reducing time for work whose output is less easily captured.
- The combination of layoffs and AI mandates raises retention risk for experienced staff, which can make preserving product and operational knowledge harder even as Block seeks efficiency gains.
Third-order effects
- If this approach persists, Block becomes a test case for whether AI-led workforce compression can sustain product execution without eroding the organizational trust needed to retain talent.
- The broader pressure is toward treating AI adoption as a management and labor-model decision—not merely a tooling choice—making culture, measurement, and accountability increasingly intertwined.
The trend: This is part of the shift from voluntary workplace AI experimentation to AI use being embedded in productivity targets and workforce restructuring.