NVIDIA, AI and Markets: Virtues and Risks of the Cycle

NVIDIA, AI and Markets: Virtues and Risks of the Cycle

Record results in Q3 2026, but with circular investments, the AI boom and signs of slowdown, strategy needs to be rethought

NVIDIA Corp (NVDA) Stock Market Information

• NVIDIA Corp is a U.S. equity asset.
• The price is 186.52 USD, currently up 5.25 USD (0.03%) from the previous close.
• The latest opening price was 184.89 USD, and intraday volume is 247,246,436.
• The intraday high is 198.47 USD and the low is 181.25 USD.
• The most recent trading time is Thursday, November 20, 02:15:00 CET.

What NVIDIA’s Latest Quarterly Results Really Show

NVIDIA has just released its fiscal Q3 2026 results (quarter ending October 26, 2025), clearly beating expectations:

• Revenue: $57.0 billion
• Consensus: around $55 billion
• GAAP and non-GAAP EPS: $1.30
• Consensus: ~ $1.26
• Data center: $51.2 billion, +25% quarter-over-quarter and +66% year-over-year
• Analysts’ estimate: ~ $49.3 billion
• Q4 guidance: expected revenue of $65 billion ±2%, versus market expectations of around $62 billion

Growth comes almost entirely from the AI/data center segment, powered by the new Blackwell / Blackwell Ultra GPU generation, which NVIDIA says is “sold out” among cloud providers, while still claiming enough capacity to support demand.

Despite export restrictions to China, the company does not include any China data-center revenue in Q4 guidance, confirming that most demand now comes from the U.S., Europe, the Middle East, and other developed markets.

Immediate market reaction:

• The stock rose roughly 4–6% after hours, adding over $200 billion in market cap;
• Positive spillover to other AI-related stocks (AMD, TSMC, Broadcom, Oracle).

Expectations vs Reality: What the Market Is Pricing In

The key takeaway from the earnings is not just another “beat,” but NVIDIA’s ability to keep surpassing expectations that rise every quarter:

• The market was already pricing in a near-parabolic growth trajectory;
• Yet revenue, margins, and guidance still exceeded forecasts;
• The CFO reiterated visibility on roughly $500 billion in AI chip orders between 2025 and 2026, describing this as more of a “floor” than a “ceiling,” thanks to new deals (OpenAI, Anthropic, xAI, hyperscalers, telecom/industrial clients).

In short:
The market expected a lot, NVIDIA delivered even more.
This explains why, despite high valuations, the stock continues to hold up and even pull major indices higher (NVIDIA now accounts for roughly 8% of the S&P 500).

Circular Investments: Bubble Risk or “Virtuous Cycle”?

In recent months, debate has grown around “circular investments” in AI:

• Large cloud providers and AI startups raise capital (equity, debt, or upfront capex);
• With that capital, they buy NVIDIA GPUs and systems;
• NVIDIA, in turn, invests equity or forms infrastructure partnerships with those same customers, strengthening the CUDA ecosystem and future demand.

Critics argue that:

• A portion of chip demand may be inflated by cross-financing and favorable funding;
• Revenue may be less “organic” than it appears;
• This could resemble an “AI carry trade”: cheap capital used to buy AI infrastructure, hoping future revenues justify it.

Several commentators and investors (e.g., Michael Burry and various hedge funds) have highlighted the risk that these circular deals overstate true end demand and that profitability may be more fragile than headline numbers suggest.

Jensen Huang’s response is the opposite:

• He explicitly speaks of a “virtuous cycle of AI”: more GPUs installed → more models and AI services → more user value → more compute demand;
• He stresses that the cycle is driven by real efficiencies (lower compute cost per unit, rising productivity), not speculation;
• He reiterates that NVIDIA’s investments and partnerships aim to expand the CUDA ecosystem (software, libraries, tools), a long-term competitive moat.

In summary:

• Bear view: A significant portion of revenue depends on a closed financial/industrial loop where actors fund each other, inflating valuations and order visibility. If the cycle breaks (margin pressure, high rates, regulation, monetization problems), repricing could be harsh.
• Bull view (Huang and many analysts): This is how major tech ecosystems are built (like the early internet or mobile). Cross-investing is not cosmetic—it standardizes infrastructure and software in a sector becoming a true global industrial layer.

Implications for the Coming Months in Equity and Financial Markets

NVIDIA’s results are effectively a stress test for the entire AI theme and global indices:

1. Extreme concentration of returns

• A single company is moving entire indices (S&P 500, Nasdaq) and, by extension, global ETFs.
• This increases volatility: good earnings = risk-on; any disappointment = broad, sharp correction.

2. Contagion effects on credit and rates

• If AI is seen as a new structural engine of productivity, markets will tolerate relatively high real rates (because earnings growth looks strong).
• If the “AI bubble” narrative grows, spreads could widen for companies heavily exposed to AI capex (data centers, cloud, utilities powering data centers).

3. Sector rotations

• In the short term, NVIDIA’s success boosts the whole “AI complex” (semiconductors, cloud, infrastructure) and triggers de-risking in traditional cyclicals.
• Over the medium term, if concerns about circular investment rise or rates stay high, rotation toward quality value sectors becomes more likely (defensive healthcare, consumer staples, regulated utilities, strong financials).

4. Structurally higher volatility

• When a single theme (AI/NVIDIA) dominates market sentiment, even small shifts in management tone or regulation can trigger price shocks across equities, currencies, and corporate bonds.

The Macro Picture: What the 4FT Invest Model Signals

On the macro side, the picture is less euphoric than NVIDIA’s earnings:

• The 4FT Invest MacroMetrics model, which tracks over 20 macro indicators (Fed, global liquidity metrics, leading indicators), signals a slowdown in major economies, with risk of moving from soft landing to weak/prolonged growth.
• Many global leading indicators (manufacturing orders, business confidence, OECD leading indicators, ISM new orders) show declining momentum, while equity valuations—especially in the AI sector—assume accelerating growth.

We therefore see a clear disconnect:

• Micro (NVIDIA & co.): explosive earnings, rising guidance, “virtuous cycle” narrative;
• Macro (4FT and similar models): signals of cooling global growth and pressure on traditional earnings.

This raises the likelihood that markets will oscillate between:

• phases of AI-driven euphoria, and
• phases of correction as weak macro data or monetization issues surface.

Investment Suggestions for This Uncertain Environment

(general ideas, not personalized advice)

Given:

• exceptional NVIDIA results partly supported by circular investment dynamics and high expectations,
• slowdown signals from the 4FT Invest model and other macro indicators,
• heavy concentration risk in AI-related names,

a few common-sense guidelines for a thoughtful investor might include:

Rebalance AI exposure

• Avoid a “single-bet” strategy on one stock—even if it’s NVIDIA.
• For those who believe in the theme, prefer a combination of:
• semiconductors (NVIDIA but also memory, packaging, foundries),
• cloud providers/infrastructure,
• AI software and services (model providers, MLOps, cybersecurity).
• In other words: turn AI from a tactical trade into a diversified structural theme.

Reduce leverage and momentum-driven exposure

• With potential circular demand, high leverage on AI stocks means high risk if sentiment turns.
• Better to favor cash positions or modest leverage—accepting a smaller upside in exchange for avoiding severe drawdowns.

Strengthen the “quality/defensive” bucket

With macro indicators weakening:

• Increase exposure to companies with:
• solid balance sheets,
• stable free cash flow,
• pricing power in essential goods/services (healthcare, staples, regulated infrastructure).
• Consider allocating part of the portfolio to solid investment-grade bonds, which might benefit from future rate cuts if the slowdown intensifies.

Keep “dry powder”

• Maintaining meaningful liquidity or short-term instruments (money market, T-bills, equivalents) helps:
• absorb volatility,
• provide optionality to buy AI or other sectors at better valuations after corrections.

Manage index concentration risk

• Broad ETFs (MSCI World, S&P 500) are heavily skewed toward NVIDIA and a handful of AI names.
• It makes sense to:
• complement them with equal-weight or value/quality sector ETFs,
• or add stocks/ETFs with low correlation to Big Tech/AI (quality non-tech small caps, certain emerging markets, selected real assets).

Conclusion: How to Interpret NVIDIA Today

• NVIDIA’s latest quarterly results confirm that the AI boom is far from over: compute demand keeps rising exponentially, and NVIDIA remains central to the ecosystem.
• At the same time, circular investment dynamics, high valuations, and macro slowdown signals make the risk/return profile less linear than in the past.
• The CEO’s view (“we’re in a virtuous AI cycle”) may well be right in the long term—but in the short term, markets can still experience bouts of “disillusionment” without undermining the broader structural theme.

For investors, the goal isn’t to guess the next quarter’s numbers, but to build a portfolio that can survive both the virtuous cycle scenario and the circular-investment-deflation scenario. Diversification, risk discipline, and macro awareness (as signaled by the 4FT Invest model) are at least as important as following NVIDIA’s earnings slides.