Why most companies fail to actually deploy AI into workflows
Source: Nate’s Substack
The article identifies a gap between AI capability and operational adoption: six preconditions must exist for AI to change how work gets done, yet most enterprises have established only two. This isn't a technology problem—it's a structural one, which explains why AI pilots stall and why vendor services companies like Anthropic's new division exist to bridge the gap, charging for organizational change management rather than software innovation. The competitive advantage isn't building better models; it's designing the workflows, data infrastructure, and institutional coordination that enable AI to create measurable efficiency gains.