Key Takeaways:
- Chip and data center shortages could shape AI’s growth for years.
- Cheaper AI could mean more applications and greater computing demand.
- Financing and future revenue will help determine the pace of expansion.
- Networking, software and power broaden the opportunity beyond chips.
- Robotics could fuel another wave of growth, on a longer timeline.
Could making AI cheaper create even greater demand for the technology behind it? It is one of the intriguing questions at the heart of Episode 120 of Let’s Talk Future.
Host Jane Ross reunites with Oppenheimer’s Rick Schafer and Tim Horan for a fresh look at AI’s expanding reach. Both remain optimistic, with a close eye on the practical challenges of turning that potential into lasting business value.
For Schafer, the pressure is visible across the semiconductor industry. Demand continues to outpace supply, while new chip factories take years to build. Even the availability of electricity and skilled workers can influence how quickly data centers add capacity.
Horan explains why falling AI costs could accelerate adoption. When more tasks become affordable, new applications can emerge, increasing overall demand for computing. AI tools that help programmers write software offer a glimpse of how that expansion can take hold.
The conversation also looks ahead to robotics and the growing role of networking, software and power. Together, these perspectives offer listeners a broader understanding of where AI could go next, and why different parts of the market may advance at different speeds.
Hear the full conversation for Schafer and Horan’s views on the opportunities taking shape and the questions that matter most.
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