Why Enterprise AI Fails at the Org Chart, Not the Model Layer
TechTarget, Tuesday, September 15th, 2026
Enterprise AI failures stem from organizational dysfunction and unclear accountability, not technology limitations.
According to David Linthicum, enterprise AI initiatives fail due to organizational authority gaps rather than model quality.
The core issues include misaligned incentives where middle managers absorb disruption without benefiting, accountability vacuums where no one owns outcomes, and handoff problems when central teams build pilots then abandon them to business units.
Linthicum recommends explicitly assigning accountable owners per use case, creating cross-functional pods, and redesigning workflows before deployment, not buying additional governance tools.