Are your automations annoying your customers?

A guide for business leaders on how to balance AI automation with the human touch in client management. Learn a simple framework to identify which tasks to automate ("Transactions") and which to keep human ("Interactions") to improve efficiency without sacrificing customer relationships.

Five critical AI realities for business leaders: the technology has crossed into genuinely disruptive territory, "hallucinations" are inherent to how these systems work, energy costs will reshape infrastructure, the underlying mechanisms remain opaque, and "AGI" has become meaningless marketing speak. Plan accordingly—with both excitement and appropriate caution.

The real opportunity in agentic AI isn't the flashy multi-agent future—it's building interoperable foundations today. Smart organizations are focusing on simple, valuable use cases while establishing the data connectivity that will power tomorrow's more sophisticated systems. Walk before you run.

A confluence of current forces has companies reconsidering capital efficiency. Leaders can use AI and gen AI tools to drive capital efficiency amid scarcity.

The real AI revolution isn't flashy automation—it's structural discipline. Companies winning with AI treat it as organizational architecture, not point solutions. They're systematically converting human judgment calls into scalable processes, creating competitive advantages through operational consistency rather than technological spectacle.

The traditional career ladder is fracturing as AI eliminates entry-level roles while companies still demand experienced talent. Smart leaders are redesigning workflows around human-AI collaboration, not just cost-cutting. The winners will be those who position themselves as strategic directors of AI tools, focusing on uniquely human capabilities like creative problem-solving and relationship building.

Few technologies have moved as swiftly from the margins to the mainstream as generative AI. We are witnessing one of the fastest adoption cycles in tech history.

The Pew Research Center analysis shows how hard AI is hitting web traffic.