ROI Or Bust: What KPMG's 2026 Tech Survey Reveals

The mood in tech has shifted from hype to hard results. We unpack KPMG’s 2026 US Technology Survey and make sense of a jarring reality: investment in automation and AI is soaring, yet fewer organizations are scaling successfully and even fewer are proving measurable ROI. We connect the dots between stalled execution, mounting technical debt, and the rise of agentic AI, digital teammates that demand new governance, new skills, and a new playbook for value creation.

We start with the mandate that defines the next two years: ROI or bust. You’ll hear why data modernization is the gating factor for AI, how legacy architectures quietly tax every initiative, and where the maturity gap widens between teams that can prototype and teams that can operationalize. We break down the numbers, like the sharp drop in fully scaled implementations, and explain the paradox of American innovation: leaders in vision, laggards in execution. Along the way, we highlight agentic AI adoption and the leadership capabilities required to manage autonomous systems responsibly.

Most importantly, we outline what high performers do differently. They build AI‑ready data foundations, invest in governance early, align product, finance, and risk on value outcomes, and treat AI as a revenue engine rather than a sidecar efficiency tool. Adaptive strategy replaces fixed roadmaps, and AI literacy becomes a requirement for every leader. If you’re navigating 2026 with pressure to prove returns, this conversation offers a clear path: modernize where it matters, scale what’s working, and measure value in terms the business respects.

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Transcript

Sponsor: StreamYard Production Stack

Survey Overview And Stakes

Chapter 1: The New Mandate

Chapter 2: The Scaling Crisis

Chapter 3: AI Momentum And Agents

Chapter 4: Technical Debt’s Drag

Chapter 5: People, Culture, And Skills

Chapter 6: What High Performers Do

The Road Ahead: ROI As Credibility

Sponsor: ElevenLabs Creator Plan

Closing And Listener Share

Jim Kunkle 0:13

In boardrooms across America, a quiet shift is underway. The era of innovation for innovation's sake is over. Tech leaders are no longer chasing shiny objects, they're chasing returns. Real ones, measurable ones. KPMG's twenty twenty six US technology survey lands like a cold splash of reality. Despite record investment in automation and AI, only a fraction of organizations are actually scaling these technologies. Ambition is high, execution is lagging, and the pressure to deliver return on investment has never been sharper. In this episode, we're unpacking what this report really tells us about AI maturity, about the rise of autonomous digital agents, about the crushing weight of technical debt, and about the leaders who are finally turning transformation into value. I'm Jim Kunkel. And in this episode, it's all return on investment or bust. If you've been listening to this podcast series and watching our live streams, webinars, or any of the video content that this series produces, you already know we're a huge believer in tools that make digital communications simple, professional, and reliable. And that's exactly why I use StreamYard and their advanced plan for everything I do audio, video, live streaming, and on air webinar sessions. StreamYard gives you a studio quality experience right in your browser. No downloads, no complicated setup, just clean, powerful production tools that let you focus on delivering your message. With the Advanced Plan, I get multi-streaming to multiple platforms, custom branding, local recordings, and the kind of stability you need when you're broadcasting to a global audience. It's the backbone of my digital workflow, and it's the reason my shows look and sound the way they do. If you're ready to elevate your podcast, live streams, webinars, or digital events, I highly recommend checking out StreamYard for yourself. Our referral link is in this episode's description, so take a look, explore the features, save a little money, and see why so many creators and professionals trust StreamYard to power their content. And now let's get this episode started. Welcome back to the Digital Revolution, where we break down the forces reshaping technology, business, and the future of work. Today's episode dives into one of the most important reports of the year. KPMG's 2026 US Technology Survey. This report is more than a snapshot of trends. It's a mirror held up to the American Enterprise, revealing what's working, what's stalled, and what's about to change dramatically. And the headline is unmistakable. Tech leaders are done experimenting. They want and need a return on investment, and they're under pressure to prove it. But here's the twist. Even with historic investment in automation and AI, only 10% of US organizations say they've fully scaled their technology initiatives. That's down from twenty five percent just a year ago. So what's happening? Why is scaling collapsing while investment is rising? And what does this mean for leaders trying to navigate twenty twenty six? Let's break it down. Chapter one The New Mandate Return on Investment Above all else. The first major theme from the report is a shift in mindset. For years, digital transformation was about exploration, pilots, proofs of concept, innovation labs, moonshots. But twenty twenty six is different. Economic pressure, competitive pressure, and AI acceleration have converged into a single mandate show value, show impact, show returns. Ninety five percent of US organizations expect revenue growth from technology investments. But expectations don't equal outcomes, and leaders know it. This is the year where innovation theater dies. This is the year where transformation becomes accountable. Chapter two The Scaling Crisis Now let's talk about the most alarming finding. Scaling is collapsing. Only 10% of organizations report fully scaled tech implementations. That's not just a slowdown, that's a cliff. Why? Three forces stand out. First force, bottlenecks on data modernization. Companies want AI, but their data isn't ready. Fragmented systems, poor governance, legacy architectures. You can't build a rocket on a foundation of sand. Second force, technical debt. This is the silent killer. The report shows that technical debt is now one of the strongest predictors of investment return failure. Organizations are trying to run 2026 technology on 2010 infrastructure, third force AI maturity gaps. Everyone wants AI. But not everyone is ready for AI. And the gap between ambition and capability is widening. US companies are investing more aggressively than global peers, but they're struggling to operationalize those investments. This is the paradox of American innovation. We lead in vision, we lag in execution. Chapter three AI Momentum Fast Adoption, Slow Investment Return. AI is the centerpiece of the report, and the numbers tell a fascinating story. Forty six percent of US organizations have made strategic AI investments, but only thirty one percent are deploying AI at scale with measurable return on investment. That's the tension, AI is everywhere, but value is not. And then there's the rise of a genetic AI, autonomous digital workers capable of performing tasks, making decisions, and interacting with systems. Ninety two percent of organizations are investing in agentic AI. Ninety-three percent say managing AI agents will be a critical leadership skill. This is a profound shift. We're not just adopting tools anymore, we're we're managing digital teammates. And that requires new governance, new skills, and new ways of thinking about work. Chapter four Technical Debt Innovations in Visible Anchor. Let's go deeper on technical debt because the report makes it clear. You cannot scale AI on a brittle foundation, legacy systems, outdated architectures, silo data, shadow IT, short term fixes that became long term liabilities. Technical debt isn't just a technology problem, it's a business risk. It slows innovation, it inflates costs, it undermines return on investment. High performing organizations are doing one of two things. They're either unwinding their debt strategically or they're leapfrogging it with modern platforms, cloud native architectures, and AI ready data ecosystems. Either way, the message is clear. You can't transform the future if you're still paying for the past. Chapter five. Technology doesn't scale without people. And the report highlights a critical truth. AI maturity is as much cultural as it is technical. Organizations are struggling with talent shortages, hybrid work complexity, change management, fatigue, lack of AI literacy, fear of disruption. And now with Eugenic A, I entering the workforce, leaders need new skills. How do you govern AI agents? How do you measure their performance? How do you integrate them into workflows? How do you build trust? The companies that succeed will be the ones that invest in people as aggressively as they invest in technology. Chapter six What high performers do differently The report identifies a set of behaviors that separate high performers from everyone else. They build strong data foundations, invest in governance early, prioritize cross functional alignment, treat AI as a revenue engine, not just an efficiency tool. Move from static planning to adaptive strategy. Develop AI literate leadership teams. These organizations aren't just adopting technology, they're operationalizing it. They're not chasing hype, they're building capability. And most importantly, they're turning transformation into measurable value. Now, let's close out this episode by talking about the road ahead. So what does all this mean for leaders navigating 2026? It means the era of experimentation is over. It means the scoreboard has changed. It means return on investment is now the currency of credibility. But it also means opportunity. Because the organizations that can bridge the gap between ambition and execution, the ones that can scale, govern, and operationalize AI will define the next decade of American competitiveness. This is a moment of clarity, a moment of accountability, a moment of transformation. And as always, the leaders who embrace it will shape the future. If you've been following my work, whether it's podcasting, live streaming, or the digital content I produce across platforms, you know I'm always looking for tools that elevate both quality and efficiency. And one of the most powerful tools in my workflow right now is Eleven Labs, specifically their creator plan. The creator plan gives you access to some of the most advanced AI voice technology available today. We're talking natural, expressive, studio grade voice generation that's perfect for narration, promos, training content, and even multilingual delivery. It's fast, it's flexible, and it integrates seamlessly into a modern creator's production pipeline. Whether you're building a brand, producing educational content, or scaling your digital presence, 11 Labs gives you the ability to sound polished, consistent, and professional every single time. If you're ready to take your audio production to the next level, I highly recommend checking out the 11 Labs Creator Plan for yourself. My referral link to set up your account and save a little money when you pay for a plan. Well, that link is in this episode's description, so take a moment to explore what 11 Labs can do for your content. The Creator Plan isn't one of those tools that doesn't just improve your workflow, it transforms it. Create smarter, create faster, create with 11 labs. And now let's close out this episode. You've been listening to the Digital Revolution with Jim Kunkel. If today's episode gave you insight, perspective, or a spark of inspiration, share it with your network and let's keep pushing this conversation forward. Until next time, stay curious, stay adaptive, and stay ahead of the revolution.