As AI matures, the availability of so-called “digital labor” is exploding, expanding the very definition of a qualified workforce. What was once the exclusive domain of human talent has now been joined by AI agents capable of handling many tasks once considered beyond the reach of automation.
Gartner predicts that over 40% of agentic AI projects will be cancelled by the end of 2027, often due to escalating costs, unclear business value, or inadequate risk controls. As a Product Management leader, one of my top priorities is identifying use cases that deliver real business value. Once implementation begins, I strongly advocate for an Evaluation-Driven Development (EDD) approach from day one. This enables teams to develop and iterate faster, while also reducing costs and mitigating risks. The future belongs to those who harness the power of LLMs responsibly. Make your AI application an asset, not a liability—evaluate thoroughly, and ship with confidence.