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aadarshkumaredu | 14 days ago
In 2000, internet stocks collapsed. The internet didn’t. What disappeared were business models built on fantasy unit economics. The same distinction matters here.
If AI funding compresses, here’s what likely happens:
• Speculative AI wrappers die fast • Subsidized API pricing rises toward real compute cost • Consolidation around a few model and infrastructure providers • Enterprises shift from experimentation to strict ROI enforcement
Right now a lot of AI usage is artificially cheap. Growth is being prioritized over margin. If that flips, casual usage drops. That doesn’t mean the tools disappear. It means only usage that creates measurable value survives.
If a tool suddenly costs $1,000 per month, most hobbyists won’t pay. But that’s irrelevant. The real question is whether it replaces or amplifies enough labor to justify the price.
If it saves a team $8,000 to $20,000 in monthly productivity or headcount cost, it survives. If it’s just a nice-to-have, it dies.
The bigger risk isn’t foundation models disappearing. It’s the application layer collapsing. A lot of AI startups exist purely because inference is subsidized. If API pricing normalizes, many evaporate overnight.
A post-bubble AI world probably looks less magical and less overfunded, but more disciplined. Fewer demos. More boring enterprise contracts. More focus on margins.
The internet after 2000 didn’t disappear. It matured and consolidated into utilities. AI likely follows the same path.
The real question isn’t whether AI vanishes. It’s who was relying on subsidies instead of economics.
throwaw12|14 days ago
when collected enough points, eventually punishes the authors and every comment they write will be labeled as "AI Slop"
rkomorn|14 days ago
doomslayer999|14 days ago
aadarshkumaredu|14 days ago
The real question isn’t whether AI helped write this. It’s whether the reasoning makes sense and matches what happens when capital and infrastructure collide.