Physix Frontier'First AGI Stock' Crashes 40% in a Day: A Market Lesson
Let's start with some data: Unisound's stock plummeted 41.19% on the day of its lock-up expiration, wiping out over half its market cap. Such a drop is rare even in A-shares, let alone for an AI company carrying the halo of "First AGI Stock." As an operator who uses AI tools daily for product selection and copywriting, my first reaction to this news wasn't "they deserved it," but "finally."
Good Tech Stories Don't Equal Commercial Viability
Unisound's stock trend reflects a common industry ailment: AI companies excel at using tech narratives to attract capital but often struggle with commercial realization. I checked the financial reports; Unisound's revenue growth has been relatively steady over the past few years, but losses have continued to widen. Losses exceeded 800 million yuan in 2023, with R&D investment ratios being alarmingly high.
The question is, what did these investments convert into? I tried using Unisound's speech recognition products. Honestly, they are decent in specific scenarios, but compared to the several AI tools I use daily, they haven't opened up a generational gap. As a cross-border e-commerce operator, I care more about: How much time can this tool save me? How much can actual conversion rates improve? Not how many layers of transformers it uses.
Unisound's "AGI" label looks more like marketing rhetoric. What users truly need is AI that solves specific problems, not a vague "Artificial General Intelligence" concept. When capital starts focusing on profitability metrics, such labels depreciate rapidly.
From a User Perspective, AI Enterprise Valuation Needs a Change
I've been using AI tools for about two years, starting with writing copy with ChatGPT to now using various vertical models for product selection and competitor analysis. As a self-taught technical user, my standard for judging whether an AI tool is good is simple: Can it reduce my overtime? Can it boost conversion rates slightly?
Unisound's crash reminds me of the boom when many AI companies went public last year. Back then, everyone thought slapping an "AI" label on anything guaranteed a high valuation. But the reality is, no matter how advanced the technology, if you can't find reliable paid scenarios, you're just burning cash to buy users.
For example, an AI product selection tool I use helps me analyze Amazon reviews, extract keywords, and generate selling points. This tool genuinely saved me at least half my research time and improved actual conversion rates by about 15%. I'm willing to pay because it truly solves my problem. As for Unisound's products, honestly, I hardly use them in my daily work. They target more B-end scenarios like government, healthcare, and education, but the willingness to pay and sustained usage rates in these sectors are far lower than in the consumer market.
The Capital Market's "AGI" Bubble Needs to Be Popped
Unisound isn't the first AI company to see its market cap crash, nor will it be the last. Look at SenseTime, Cambricon, and overseas AI companies; stock volatility is huge. The core reason is that the commercialization path for the AI industry hasn't been fully paved yet.
My experience is that many AI tools grow users quickly when free or cheap, but once charging starts, users leave immediately. Because people feel AI should be "cheap," even "free." This mindset makes it hard for AI companies to achieve healthy profit models.
Unisound's crash serves as a reminder to all AI companies: Tech narratives cannot permanently replace business logic. When the lock-up period ends and investors start selling, stock prices return to fundamentals. These fundamentals aren't about how many papers or patents you have, but how much money you can collect from customers.
Core Viewpoint: No matter how many tech stories an AI company tells, nothing beats saving users real money. The capital market will eventually vote with its feet, selecting those companies that can truly solve practical problems.
Original Link: https://www.tmtpost.com/8060453.html