4-6-26 AI: How To Invest in the Next Industrial Revolution - Brian Dunlap Interview
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The AI revolution isn't a fad—it's the next industrial transformation, and investors who understand its adoption cycle stand to gain significantly. Brian Dunlap of BlackRock argues that we're still in the early 'infrastructure build' phase of AI, where massive capital expenditure on data centers, chips, power, and cooling is creating a new kind of factory economy. These aren't just buildings—they're revenue-generating assets that will produce value for years. While short-term market corrections and concerns about debt and 'circular financing' have sparked fear, Dunlap counters that these are normal phases in any technological revolution, not signs of collapse. The real opportunity lies not in chasing flashy AI stocks today, but in investing in the physical backbone of AI—companies building the data centers, power grids, and cooling systems—before the next phase of enterprise and consumer adoption begins. The future of AI isn't about replacing jobs; it's about creating entirely new industries, just like the internet did. And the companies that master monetization—like those using token-based pricing instead of per-seat licensing—will lead the next wave of growth. Key to success is recognizing that AI’s value isn’t in hype, but in execution. The most promising investments today are in infrastructure, not just the AI models themselves. BlackRock’s BAI and IDGT ETFs offer structured access to this value chain.
AI is in its infrastructure build phase—invest in data centers, power, cooling, and construction companies now, not just AI software.
Data centers are factories: they generate revenue over 3-5 years and can deliver 12-21% IRR once operational.
Token use has increased 17x in 12 months, proving AI adoption is accelerating, not slowing.
The shift from AI training to inference will drive ongoing demand for chip upgrades and data center modernization.
Use leverage wisely: borrowing at 4-5% to invest in AI infrastructure with 8-15% returns is rational, not reckless.
…and 3 more takeaways available in PodZeus
The AI Revolution Isn't a Fad—It's the Next Industrial Shift
Lance Roberts opens with a playful debate on pineapple pizza, then introduces Brian Dunlap from BlackRock, setting the stage for a deep dive into AI’s transformative role in the economy. The episode begins by framing AI not as a passing trend, but as the next major industrial revolution—comparable to the internet and smartphones—whose impact will be foundational, not disruptive.
History Repeats: AI Will Displace Jobs, But Create New Ones
Dunlap draws parallels between AI and past technological revolutions—internet, smartphones, electricity—emphasizing that while jobs are lost, new industries emerge. He uses his father’s career and the rise of the $32 billion online influencer economy to illustrate how we can’t predict the future, but we can trust history: innovation creates more opportunity than it destroys.
The AI Adoption Cycle: Infrastructure Build Is Just Beginning
“We're still very squarely in the infrastructure build phase. We're in year three of what could be a five to 10 massive buildout of the physical things that we need for AI.”
Investing in the Physical AI Economy: From Dirt to Data Centers
“One company's CapEx is another company's revenue. So we're actually seeing revenue in a pretty meaningful way come through, particularly in the infrastructure players of the artificial intelligence tech stack.”
From Factories to Future: The Shift to Inference and Physical AI
“The longer term projections is that 70 percent plus could be on inference. So, and that's the ongoing spend that you'll have in continuing to maintain and modernize and innovate the physical stuff.”
“are still very squarely in the infrastructure build phase. We're in year three of what could be a five to 10 massive buildout of the physical things that we need for AI.”
“One company's CapEx is another company's revenue. So we're actually seeing revenue in a pretty meaningful way come through, particularly in the infrastructure players of the artificial intelligence tech stack.”
“The longer term projections is that 70 percent plus could be on inference. So, and that's the ongoing spend that you'll have in continuing to maintain and modernize and innovate the physical stuff.”
Host
Guest
BlackRock
organization
Lance Roberts
person
Brian Dunlap
person
NVIDIA
organization
Microsoft
organization
Meta
organization
Amazon
organization
organization
OpenAI
organization
Boeing
organization
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