The AI Gold Rush: Why Selling AI Isn’t the Real Prize
There’s a fascinating paradox in the tech world right now: everyone’s talking about AI, but the real winners might not be the ones selling it. Personally, I think this is one of the most underappreciated insights in the current hype cycle. Chi-Hua Chien, a venture capitalist with a knack for spotting cultural shifts, argues that the commoditization of AI models is already underway. What makes this particularly fascinating is that it mirrors past tech cycles—PC, web, mobile—where infrastructure companies peaked early, but application companies captured the lion’s share of value. If you take a step back and think about it, this isn’t just about AI; it’s about where the real innovation and profit lie in any technological revolution.
The Commoditization of AI: A Predictable Pattern
Chien’s observation that AI models are becoming commoditized isn’t just a bold claim—it’s backed by history. In the PC era, infrastructure companies like Intel and Microsoft dominated early, but it was application companies like Adobe and Oracle that built lasting empires. The same pattern repeated in the web and mobile eras. What many people don’t realize is that this isn’t a bug; it’s a feature of technological evolution. Infrastructure becomes a commodity, and the real value shifts to applications that solve specific problems. In the AI era, this means the companies selling AI models might not be the ones reaping the biggest rewards.
Hyper-Personalization: The Real Game-Changer
One thing that immediately stands out is Chien’s emphasis on hyper-personalization as the next big wave. AI isn’t just about processing data; it’s about creating experiences tailored to the individual. From my perspective, this is where the magic happens. Companies like MIDI Health, which uses AI to expand access to women’s health services, aren’t selling AI—they’re selling solutions. What this really suggests is that AI’s value lies in its ability to enhance human experiences, not in the technology itself. This raises a deeper question: Are we focusing too much on the tools and not enough on the outcomes?
The Trust Gap: Why Super Apps Struggle in the West
Chien’s take on why Facebook failed to build a super app in the U.S. is particularly insightful. He argues that there’s a trust gap between social entertainment and financial services in Western cultures. Personally, I think this is spot-on. Financial transactions require a level of seriousness and security that social media simply doesn’t. What’s interesting here is how cultural psychology plays into tech adoption. In my opinion, this isn’t just a problem for Facebook—it’s a cautionary tale for any company trying to blend disparate services. The lesson? Trust isn’t universal, and it’s built on very different foundations depending on the context.
The Swing Back to Real-World Experiences
Here’s a detail that I find especially interesting: Chien’s bet on the resurgence of in-person experiences. In a world drowning in digital content, people are craving real human connection. Companies like Bump and Fever are tapping into this by using AI to enhance real-world interactions. What makes this particularly fascinating is how AI is being used not to replace human experiences, but to amplify them. If you take a step back and think about it, this is a profound shift. AI isn’t just about automation; it’s about creating richer, more meaningful experiences.
The Future of AI: Beyond the Hype
In my opinion, the real story of AI isn’t about the models themselves—it’s about how they’re applied. Chien’s prediction that the lag between cloud-based and local AI models will shrink to three months is a game-changer. But what’s more interesting is the question of use cases. Just like the early days of the iPhone, we’re still figuring out what’s possible. From my perspective, the companies that will win aren’t the ones selling AI; they’re the ones using it to solve real problems in innovative ways.
Final Thoughts
If there’s one takeaway from Chien’s insights, it’s this: AI is a tool, not an end in itself. The real winners will be the companies that use it to create personalized, meaningful experiences. Personally, I think we’re only scratching the surface of what’s possible. The AI gold rush is just beginning, but the real prize isn’t in selling AI—it’s in using it to transform how we live, work, and connect. What this really suggests is that the future of AI isn’t about technology; it’s about humanity.
