For a while, the AI conversation ran on speed. New models, new tools, new promises, often moving faster than organizations could realistically absorb them. Now the pace is changing. The focus is shifting away from what looks impressive in a demo and toward what actually holds up inside real businesses.
That shift is reflected in a recent AI Journal analysis of the trends gaining traction this year. Rather than chasing novelty, the article reflects a more pragmatic phase for the industry, one where AI is being evaluated on its ability to integrate, scale, and operate inside the constraints of enterprise systems, particularly in B2B environments.
The article briefly references work led by Guillermo Delgado, Global AI Leader at Nisum, as part of a broader look at how AI is being applied inside complex operational settings rather than treated as a standalone capability.
Guillermo’s insights align closely with the article’s larger argument. As AI adoption matures, credibility is increasingly tied to execution. What matters now is not how advanced a model is, but whether it can be deployed responsibly, maintained over time, and trusted once it becomes part of everyday operations.
Taken together, the trends outlined in the piece point to a quieter evolution underway. AI is no longer trying to prove that it can move fast. It is being asked to prove that it can last.
The full AI Journal article looks at how this shift is already taking shape and where meaningful traction is beginning to emerge.