SAS Voices
News and views from the people who make SAS a great place to work
Organizations know AI is important. They’re investing in it, encouraging teams to use it and looking for ways to scale its value. But many organizations are still struggling to turn that priority into governed, scalable action. Leaders are left scrambling to feel confident about whether AI is being used responsibly, creating a widening gap between what leaders want from AI – innovation, efficiency and competitive
For years, the assumption has been that AI would primarily benefit the largest banks – those with the biggest technology budgets, the deepest talent pools and the resources to experiment at scale. But AI may be creating a different kind of competition. While large banks continue to invest billions in
What if the real disruption in AI isn’t that machines are becoming more capable but that we’re quietly redefining work in ways that make humans less so? It’s an uncomfortable question. But it sits at the center of nearly every conversation about productivity, automation and the future of work. Across industries, work is increasingly framed in terms machines can understand: outputs, efficiency gains,