Here's an interview you don’t want to miss. IBM CEO and Chairman Arvind Krishna sat down with The Verge for a candid conversation on: 🤔 Lessons learned from decades of AI development ➡️ The shift from deep learning to generative AI 💡 How QPUs will solve problems GPUs and CPUs can’t Watch the conversation unfold: https://ibm.co/6040BeXh6
IBM 𝐓𝐡𝐢𝐬 𝐢𝐬 𝐚 𝐟𝐚𝐬𝐜𝐢𝐧𝐚𝐭𝐢𝐧𝐠 𝐝𝐢𝐬𝐜𝐮𝐬𝐬𝐢𝐨𝐧! 𝐀𝐫𝐯𝐢𝐧𝐝 𝐊𝐫𝐢𝐬𝐡𝐧𝐚’𝐬 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐨𝐧 𝐭𝐡𝐞 𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐟𝐫𝐨𝐦 𝐝𝐞𝐞𝐩 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐭𝐨 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐚𝐫𝐞 𝐭𝐫𝐮𝐥𝐲 𝐞𝐲𝐞-𝐨𝐩𝐞𝐧𝐢𝐧𝐠. 𝐓𝐡𝐞 𝐩𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥 𝐨𝐟 𝐐𝐏𝐔𝐬 𝐭𝐨 𝐭𝐚𝐜𝐤𝐥𝐞 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬 𝐛𝐞𝐲𝐨𝐧𝐝 𝐭𝐡𝐞 𝐫𝐞𝐚𝐜𝐡 𝐨𝐟 𝐆𝐏𝐔𝐬 𝐚𝐧𝐝 𝐂𝐏𝐔𝐬 𝐡𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬 𝐈𝐁𝐌’𝐬 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐯𝐞 𝐞𝐝𝐠𝐞. 𝐄𝐱𝐜𝐢𝐭𝐞𝐝 𝐭𝐨 𝐬𝐞𝐞 𝐡𝐨𝐰 𝐭𝐡𝐞𝐬𝐞 𝐚𝐝𝐯𝐚𝐧𝐜𝐞𝐦𝐞𝐧𝐭𝐬 𝐰𝐢𝐥𝐥 𝐬𝐡𝐚𝐩𝐞 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐀𝐈 𝐚𝐧𝐝 𝐜𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠.
This is excellent. The right person, at the right time for the right growth in IBM. Crisp and highly informative as always with Arvind.
What stands out in this conversation is the strategic clarity: AI isn’t a bubble when the value shifts from hype to infrastructure. Leaders who understand that QPUs, model efficiency, and domain-specific optimization will redefine enterprise performance aren’t chasing trends they’re building the backbone of the next decade. The companies that win won’t be the ones deploying the most AI, but the ones deploying it with purpose, governance, and measurable outcomes.
This perspective is so important. The real shift happening now isn’t just “AI doing tasks” it’s infrastructure-level change. What Arvind mentioned about QPUs solving problems GPUs can’t is exactly what leaders need to pay attention to: • AI that understands context • systems that learn continuously • compute that removes existing hardware limits At 4iService, we’re already seeing this on the ground: the businesses adopting AI not just as a tool but as an operating system are improving speed, throughput, and service quality in ways that humans alone simply can’t match. Generative AI and future compute aren’t replacing people they’re replacing slow processes. Excited to see IBM leading conversations at this depth. 👏
This was one of the rare interviews that actually cuts through the noise instead of adding to it. What landed with me most was how Arvind avoids the usual hype traps and focuses on the simple math: efficiency curves have always rewritten cost structures, and there’s no reason to assume GPUs are the end of that story. The IBM productivity experiment is the real wake-up call; not a slide deck, but a live internal A/B test showing that AI-augmented teams are already pulling ahead. And that quiet flex about quantum at the end says more than a dozen press releases; IBM is the only company with decades of experience building giant, ultra-reliable cryogenic hardware at scale, and that matters when the field finally tips. Huge credit to Nilay for pressing and to Arvind for meeting every question head-on. This conversation is going to stick around.
This interview with IBM CEO Arvind Krishna is a must-watch! It’s fascinating to hear his insights on the evolution of AI, the shift to generative AI, and the potential of QPUs to tackle challenges that current technologies can't. A great conversation for anyone interested in the future of technology! 🚀💡
Arvind Krishna cuts right to the core of where enterprise AI is headed. The most valuable conversation here is his focus on systems that integrate AI into real workflows rather than chasing model hype. His point about orchestration, trust, and infrastructure maturity aligns with what we are seeing across every major enterprise program. The companies building the connective tissue between models, data, and governed execution will lead the next cycle. IBM framing AI, quantum, and industry scale automation in one narrative is a signal that the competitive frontier is shifting from individual tools to complete operating architectures. At Ascendrix, we track these shifts closely because they redefine how enterprises adopt intelligence and where long term visibility advantages emerge.
Challenging the fear, we show how AI's deep history and structural market growth signal a new technological age, not a speculative crash. https://tonynahra.github.io/posts/AI-not-a-Bubble.html
Really enjoyed this interview — such a clear take on where the enterprise is heading. What stood out most to me is the focus on making AI real, practical, and scalable. In my role supporting IBM Consulting’s SAP partnerships across the Americas, that message hits home. Our clients want transformation, not hype. And together with SAP, we’re helping them modernize their core systems, unlock data they can trust, and bring AI into everyday decision-making. It’s an exciting time to be at the intersection of SAP innovation and IBM’s AI and hybrid cloud capabilities. Interviews like this remind me why our work matters. Definitely worth the watch.