Plenty has been said about how AI should be done over the next 10+ years.
What about today's concerns for the next 12 months? How should executives discuss AI in the enterprise for the next 12 months? What are the questions they should be asking, and the steps they should be taking?
What are the biggest concerns?
CEOs are now driving AI strategy at enterprises and half of them think their jobs are on the line if they don't get it right, according to Boston Consulting Group.
Enterprises will get all-you-can eat agentic AI pricing, data tools are going to be a headache, AI agents will look more like a feature than a revolution and physical AI will matter. Those are some of the trends to watch in 2026.
The big banks and financial giants have reported earnings and across the board they were strong due to increased M&A and trading volume. That said it’s worth noting some key comments about the AI infrastructure buildout. Here’s a look at what financial sector CEOs are saying about the AI market.
Goldman Sachs CEO David Solomon said the company has launched an initiative dubbed One Goldman Sachs 3.0, which will leverage AI to create a centralized operating model that's more efficient and drive growth. In other words, become more efficient when you don't necessarily need to instead of waiting until you have to.
The IT department is where agentic AI goes to die--or at least never make it out of proof of concept. Agentic AI needs to be driven by outcomes, returns and benefits to the business instead of technology. That's a big takeaway from Boomi's Chris Hallenbeck, SVP and GM of AI & Platform
Here's a look at a few scenes from the data and enterprise AI transformation front where thinking three- to five-years pays off big.
