NVDA to $170? AI Bubble Risk, Big Money Exits & Heavy Shorts !I f you haven`t bought NVDA before the previous earnings:
Now you need to know that NVIDIA has dominated 2023–2025, becoming the face of the global AI boom. But the higher the climb, the harder the fall. While NVDA is still seen as “untouchable,” several major signals suggest the stock could revisit levels near $170 — a healthy correction of 10–15% from here.
1. Major Investors Are Exiting — SoftBank Dumped Everything
SoftBank, one of Nvidia’s earliest and most influential institutional backers, sold its entire stake in late 2025, worth roughly $5.8 billion.
Smart-money exits near all-time highs should never be ignored.
SoftBank rarely sells unless it believes:
- the sector is overheated
- the valuation has run too far
- risk/reward becomes asymmetric
This mirrors their strategy in 2021–2022 when they unloaded overvalued tech before the correction.
SoftBank’s full exit is a red flag for anyone ignoring the possibility of an AI bubble.
2. Michael Burry Bought Massive Puts — A Direct Bet Against the AI Mania
Michael Burry — famous for predicting the 2008 crisis — has quietly increased his put positions on NVIDIA and other AI names.
Why does this matter?
Because Burry doesn’t short “normal” overvaluations.
He shorts bubbles.
His AI thesis:
- expectations are unrealistic
- revenue growth is priced as infinite
- companies are spending billions on AI with no short-term monetization
- chip demand could normalize faster than markets expect
When a contrarian with Burry’s track record bets against a trend, it’s worth paying attention.
3. NVIDIA’s Valuation Is Stretched Even for a Hyper-Growth Company
Even bulls agree: NVDA’s multiples are once again aggressively priced.
Key issues:
• Price-to-Sales historically elevated
NVDA is trading at a P/S ratio that would be insane for any company approaching a $5 trillion market cap.
• Revenue growth expectations assume perfect long-term AI adoption
If AI monetization slows or plateaus even slightly, NVDA’s valuation collapses fast.
4. Are We in an AI Bubble? Many Indicators Say Yes
Top analysts, academics, and even bullish investors admit:
AI has bubble-like behavior.
Evidence of a bubble:
- Stock prices rising faster than actual earnings growth
- Companies buying GPUs “because everyone else is doing it”
- Zero clarity on monetization for many AI firms
- AI startups valued at billions with no revenue
- Media hype similar to 1999 dot-com sentiment
Harvard Business Review, Wired, and Investopedia already discuss the “AI bubble thesis.”
If AI expectations don’t materialize fast enough, NVDA becomes the single most vulnerable stock on the market.
Short
