"The agent underneath is actually more universal than we thought." Instead of building new agents for every use case, companies should rely on a single general agent powered by a library of skills, Zhang said. Skills are "organized collections of files that package composable procedural knowledge for agents," Zhang said. They are simply folders that contain whatever an agent needs to complete a task consistently and efficiently.
A recent MIT report, titled "The GenAI Divide: State of AI in Business 2025," reveals that while U.S. businesses have collectively invested between $35 billion and $40 billion in AI initiatives, almost all of them (95%) are seeing zero return on their investments or no measurable impact on profits. Only 5% are seeing "value" from AI.