SAS Voices
News and views from the people who make SAS a great place to work
Much of the conversation around agentic AI focuses on autonomy. How much work can an agent complete on its own? How many decisions can it make? How far can organizations remove people from the process? Those questions make sense, but they can also obscure where businesses are finding value today.
Organizations rarely struggle to build AI models. They struggle to scale them. Across industries, organizations continue to invest heavily in data and AI, yet many initiatives never move beyond pilot projects. The challenge isn't creating better models. It's maintaining the infrastructure that surrounds them. Data pipelines, governance, business rules and
AI is evolving quickly, but where is it headed next? At SAS Innovate 2026, we asked customers, partners and industry leaders a simple question: What do you think the future of AI looks like? Their answers touched on everything from agentic AI and trustworthy AI to the role of human