alt Hacker NewsI'm not convinced that 2026 was peak of the AI hype cycle.
Arguments are being made that, with the midterms over and 2028 just around the corner, a less sympathetic administration would create significant headwinds, adjusting the valuation of Anthropic and OpenAI down.
What we don't know are what Anthropic and OpenAI have planned and in the works.
A large population of extremely skilled and talented people are being laid off by their employers to make space for AI investments. It's likely a significant number of them will start their own business with AI.
AI is also gaining a much wider audience and acceptance. It's likely over the next few years, AI demand will grow, not stagnate.
That said, IPOs are usually liquidity events for LPs and for something really disruptive and unpredictable as AI, I won't be engaging in their IPOs. Only time will tell if this was a good decision, or bad.
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At a minimum we should continue to see smarter and more efficient models in 2027.
If datacenter production sees significant headwind then it’s very bad for ANT. Securing compute is listed as one of their major risks to the SEC.
> A large population of extremely skilled and talented people are being laid off by their employers to make space for AI investments.
Outside of programming and a couple of other sectors I’m not sure that is true. It isn’t visible in the unemployment figures.
Only popular with companies that want to make a quick buck and tech people (hey! that's me!).
You really don't know what we have here, do you? Let me illustrate what you can do with Qwen3.8@q4 locally with about 2TB of storage and a small cloud server to host a website.
Locally you scrape and process every elected official and start tracking what they're doing, what they're promising, and what they're not doing. You build embeddings and make them all geotagged in a database and just start with the largest cities.
The website provides public facing search. User drops in a zipcode, city, state, specific rep's name and gets what's relevant to their results.
All of this is to say, we literally have the technology to hold accountable our representatives and then show everyone objectively who's doing good and bad for their constituents.
It wont take much to solve the problem of bad representation after these last two years. The hard part is literally making sure people going to a polling station can immediately know who the heck the 10 - 30 different people are they're voting for, and track them efficiently within their own specific parameters.
Regulation is coming for more than just the inference providers.
It certainly isn't the peak of the AI hype cycle. Eventually something will surpass LLMs and the hype will start all over again. Will it really be the final invention this time? Place your bets!
Tulips, Railroads, and the Internet also didn't go away when the financial bubble around them burst. That doesn't mean there wasn't a massive market correction in response to the over-investment.
The major counterpoint here is commoditization; you may have the market growing and models becoming cheaper at the same time. And we don't even have to look to Chinese models for that, as OpenAI has been adjusting its pricing already. For profitability, Anthropic still seems to be pretty dependent on its current price levels.
That said, I'm also somewhat skeptical that there is even much room for growth left unless somebody finds a new, important, and token-hungry use case.