# enterprise software

A warning that job creation is “pretty close to zero” sharpened concerns about AI's labor impact, even as enterprise vendors push agentic assistants and workflows into core stacks. Predictions that voice and audio models will be commoditized shift competitive moats to data and distribution, while new safety claims raise calls for auditing model states, not just prompts.

Real-world AI deployments are accelerating from farms to developer stacks, but enterprise adoption remains constrained by compliance, pricing, and default trust in incumbents. Simultaneously, public-facing misfires and sensational cases are intensifying demands for oversight, underscoring how faster, cheaper tools can amplify both creativity and risk.