Show Notes
AI was supposed to make work easier. So why are companies racing to cut people before the results even exist?
In this episode of Let’s Solve IT!, NetApp’s Matt Brown sits down with Dave Blodgett, VP, Global Head of Infrastructure, to unpack the uncomfortable truth behind AI hype, skyrocketing infrastructure costs, and the growing fear that “productivity” is becoming corporate code for layoffs.
You’ll hear:
Why companies are investing billions into AI before provingreal businessvalue How “productivity gains” are becoming justification for workforce cuts The hidden infrastructure and cloud costs powering enterprise AI Why AI hype is colliding with operational reality inside IT organizations What the future of work couldlooklike as automation accelerates Why the biggest AI challenge may not be technology but trust
Because the future of work may not be what the AI evangelists promised. You are not alone. Let’s Solve IT! Episode keywords: AI infrastructure, enterprise AI, AI costs, future of work, workforce automation, cloud infrastructure, AI productivity, generative AI, AI strategy, IT operations, cloud operations, artificial intelligence, AI adoption, enterprise technology, AI investment, digital transformation, automation, infrastructure scaling, tech layoffs, AI and jobs, operational efficiency, CIO strategy, infrastructure management, NetApp, cloud computing, AI hype, business transformation, IT leadership, AI governance, productivity gains
Learn More IT case studies | NetApp
Connect with us! https://www.linkedin.com/in/cmattbrown Dave Blodgett | LinkedIn
Transcript Episode overview: Is AI being built to replace people—or to help IT teams move faster, work smarter, and focus on the problems that actually differentiate the business? In this episode of Let’s Solve IT!, host Matt Brown sits down with Dave Blodgett, NetApp’s VP of Cloud Infrastructure and Operations, for a direct conversation about one of the biggest questions facing CIOs, CTOs, and IT leaders today: how do you harness AI without losing the trust, judgment, and innovation that only people bring? If your organization is under pressure to deliver AI-driven productivity gains, this conversation reframes the issue. The real opportunity is not replacing people. It is using AI to unlock the work IT teams have been too constrained to do—work that improves operations, accelerates delivery, and helps the business compete. At the center of the discussion is a practical leadership challenge: AI can increase human velocity, but only if teams understand the strategy, trust the intent, and have real access to the tools. Dave argues that AI is already delivering meaningful gains in areas such as software development, code quality, operational triage, and NOC services. But he is equally clear that complex engineering work still depends on human judgment, context, and innovation. If your team is still asking whether AI is coming for their jobs, this conversation offers a better question: how can AI help people move faster, solve harder problems, and focus on work that humans are uniquely equipped to do? Topics covered:
Why AI should be treated as a force multiplier, not simply a workforce reduction tool
How AI can help IT teams shift attention from keeping the lights on to strategic, differentiating work
The limits of “vibe coding” and why engineering judgment, nuance, and expertise still matter
What makes this AI wave different from previous automation and cloud transformations
How autonomous NOC workflows, AI agents, event correlation, and root cause analysis can materially reduce time to resolution
Why AI adoption requires transparency, hands-on exposure, business-value metrics, and team trust
How leaders can help employees move from fear to fluency by making AI part of the engineering reflex
Episode themes
AI as Augmentation, Not Replacement: The idea that AI will enhance and assist human worker
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