Despite the big promise of AI, only 5% of AI implementations deliver measurable business returns, according to a recent study by MIT. Rarely is the problem the technology. More often, AI efforts fall short because leaders overlook the critical role humans play in the system.
AI is a tool. Like other tools, AI operates best when people understand how to use it, trust it, and can integrate it into the way they already work.
Finding the right balance between human expertise and machine intelligence is the difference between AI that looks impressive in demos and AI that transforms how your organization operates.
So why do so many AI-first approaches fall short? And how should you design AI systems that work effectively alongside your human teams?
Why AI-First Deployments Fail
