Member Thought Leadership
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Boyden
AI delivers meaningful productivity gains only when organizations redesign processes, decision-making, and operating models around it rather than layering the technology onto inefficient legacy systems. The article argues that many AI efforts fall short because companies chase hype, fund disconnected pilots, and automate broken workflows instead of making the deeper structural changes that create value. It also highlights a more human barrier: executives often resist the disruption, friction, and risk that real transformation requires, even when the technology itself is ready. The core message is that AI productivity depends less on the tools than on leaders’ willingness to rethink how work is done.
