The Subsidy Trap
What will you do when AI's hype balloon pops?
I keep thinking about AI's economic model, and something doesn't add up. Right now, we're living through what feels like the "Uber moment" of artificial intelligence. Just as Uber rose in popularity to dominate the taxi market while burning through billions in venture capital to subsidize rides and capture market share, today's AI companies are offering incredible utility at prices that can't possibly reflect their actual costs. Behind every ChatGPT conversation and every AI-generated image sits a multi-billion-dollar data center consuming gigawatts of power, filled with specialized chips that depreciate at breathtaking speed.
Think about those GPUs for a moment. These aren't assets that age gracefully like real estate or manufacturing equipment. They're depreciating at 50 to 70 percent annually, because today’s state-of-the-art NVIDIA A100 Tensor Core will be obsolete within three years. The infrastructure demands are so intense that major providers are seriously discussing building dedicated nuclear power plants. Think about it. Nuclear plants. To draw AI cartoons.
The parallels to previous hype cycles are hard to ignore. We were promised that Uber would reduce traffic congestion by getting people out of their cars. Instead, studies show it actually made urban traffic worse by adding more vehicles to the road and reducing public transit usage. The Segway was supposed to revolutionize city design through innovative personal transportation. Instead, it became a punchline and a niche product for mall security guards.
I can see AI's genuine benefits, but I wonder if we're witnessing another case where the promise outpaces the reality. Are we building an economic house of cards, betting that breakthrough efficiencies will arrive before the VC subsidy money runs out? Or is this simply what the birth of a truly transformative technology looks like, with all its messy economics and overheated expectations?
These questions about AI's economics extend far beyond Silicon Valley's latest obsession. The AI boom isn't just reshaping technology; it's creating ripple effects across entire industries, from customer service to content creation to software development. Every scaling founder should be asking themselves: Am I building on genuine market demand, or am I riding a wave of artificially cheap resources?
If your growth strategy depends on AI tools that are currently priced below their true cost, what happens when the subsidy phase ends, and prices adjust to reality? If your competitive advantage relies on AI capabilities that every competitor will soon have access to, where does that leave your differentiation? The founders who will thrive in the post-hype world are those asking these uncomfortable questions now, while they still have time to build more defensible positions.
The subsidy trap isn't unique to AI. It’s a recurring pattern in how transformative technologies reach the market. Smart founders learn to distinguish between riding the wave and building something that can continue to generate value when the tide goes out.
The question is: how will AI have transformed the market — and our society — when the subsidies end and the real costs become clear?
Davender’s passion is to guide innovative entrepreneurs in developing the clarity, commitment, confidence and courage to enter, engage and lead their markets in an unpredictable world by thinking strategically and acting tactically. Find out more at https://www.davender.com and https://linkedin.com/in/coachdavender .