AI productivity depends on organizational change
Artificial intelligence can improve individual tasks, yet its broader economic potential depends on changes around the technology. Like earlier general-purpose technologies, AI needs complementary investment in skills, data, integration and management.
For business leaders, adoption is therefore an organizational decision. Redesign workflows, build capabilities and validate outcomes. Initial spending may precede measurable productivity gains; the relevant question is whether the organization is creating the conditions for sustained improvement.
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