AI adoption is growing, but access to tools does not guarantee organisational transformation. This DataGuy Perspectives article examines how employee capability, workflow design, strategic direction and the use of time saved determine whether AI adoption translates into meaningful organisational value.
The Gap Between AI Adoption and Organisational Value Read More »
Firms are changing how they purchase work as AI adoption grows. This DataGuy Perspectives article examines what spending data reveals about labour substitution, why it cannot establish worker displacement on its own, and what researchers must measure to understand the wider economic effects.
AI capability alone does not guarantee useful outcomes. Explore how infrastructure, contextual fit, skills, organisational processes, and institutional capacity shape whether intelligence can be applied effectively in the real world.
AI can create more economic value with fewer resources. The deeper question is who captures and distributes the gains.
Enterprise AI is moving beyond experimentation. The harder challenge is identifying important business problems and building systems that can reliably solve them.
The Enterprise AI Problem Is Not Finding More Use Cases Read More »
As AI moves from assistance into execution, the cost of intelligence extends beyond model inference. Context, retrieval, verification and governance are becoming part of the economic structure of AI, creating a new challenge for organisations: managing intelligence consumption against economic value.
