Three years since ChatGPT supercharged the AI field, predicting the future of the fast-changing technology is not for the faint of heart. But one sure bet is that, in the last weeks of the year, our inboxes will bulge with experts who want to give it a go anyway. Many of last year’s predictions concerned the onset of AI agents. Now they’re more or less here, and businesses will be increasingly focused on getting them to work together, trusting them, and dealing with the risks they might present, our experts seem to agree. There remains an undercurrent of worry about ROI still being somewhat TBD, and fears of an AI bubble have heightened in recent months. World models, another not-entirely-new term that’s somewhat definitionally vague, are suddenly seeing more interest as a potential way to give LLMs better bearings. Here are some of the major themes that tech pros told us might define AI development in 2026. Agents in concert: Those AI agents that companies have “hired” may be in need of some trust falls at a corporate retreat. Coordinating between agents and making them more trustworthy were big topics among prognosticators. How businesses are able to array agents to handle complex processes will be more important than tapping the most sophisticated model, PwC’s advisory chief technology and information officer, Vikas Agarwal, told us. “People that look at that whole chain…will have a lot of measurable outcomes,” Agarwal said. “And I believe there are going to be winners and losers in a separation of people that think about the approaches from that way.” Keep reading here.—PK |