Nvidia's Valuations Show AI Rally Isn't a Bubble, DBS Says: The 17x Multiple That's Quietly Debunking the Doubters

Nvidia's Valuations Show AI Rally Isn't a Bubble, DBS Says: The 17x Multiple That's Quietly Debunking the Doubters

## The Number That's Silencing the Bubble Talk

Let me tell you something that should make every American investor stop and think.

**Nvidia is trading at 17 times its forward earnings.**

Now, if you've been paying attention to the AI hype cycle, that number might sound like a misprint. After all, Nvidia's market cap is closing in on **$6 trillion**. The stock is up **21.9% this year alone**. Everyone from your barber to your brother-in-law has a take on whether this is the dot-com crash waiting to happen.

**But here's the thing:** 17 times earnings isn't a bubble multiple. Not even close.

DBS Group Chief Investment Officer Hou Wey Fook made this point with devastating simplicity in a Bloomberg TV interview this week. He compared Nvidia to **Cisco Systems**, the poster child of the dot-com bubble, which traded at roughly **100 times earnings** before the crash.

**"If I describe the poster child of AI trading at mid-teens, how can it be a bubble?"** Hou asked .

That single question cuts through months of hand-wringing from analysts, pundits, and nervous investors who've been waiting for the AI trade to implode.

**And the data backs him up.**

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## The Cisco Comparison That Changes Everything

### What the Dot-Com Bubble Actually Looked Like

**Frequently Asked Question:** *Why is the Cisco comparison so important?*

Because Cisco was the Nvidia of its era.

In the late 1990s, Cisco Systems was the company that built the infrastructure of the internet. Routers, switches, networking equipment—every company that wanted to get online needed Cisco's gear. The stock soared. Investors piled in. And by early 2000, Cisco was trading at a **P/E ratio of around 100** .

**Then the bubble burst.** Cisco's stock never recovered its 2000 highs. A generation of investors learned a painful lesson about paying too much for growth.

**Now fast forward to 2026.** Nvidia is the company building the infrastructure of AI. Every major tech firm needs its chips. Revenue is exploding. The stock is soaring.

**But the valuation is completely different.**

**Cisco in 2000:** ~100x forward earnings 

**Nvidia in 2026:** ~17x forward earnings 

**Frequently Asked Question:** *How is Nvidia trading so cheaply while growing so fast?*

This is the paradox that confuses people. The answer lies in **earnings growth outpacing stock price growth**.

Nvidia's stock is up big this year. But its **earnings are growing even faster**.

**The math:**

- Nvidia's earnings are projected to grow **70% next year** 

- The stock is up roughly **22% year-to-date** 

- When earnings grow faster than price, the **P/E ratio compresses**

**Translation:** Nvidia is getting *cheaper* on a valuation basis even as the stock goes up. That's the opposite of a bubble.

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## The Earnings Story That Justifies the Hype

### 70% Growth Isn't a Fluke

**Frequently Asked Question:** *Can Nvidia really grow earnings 70% next year?*

That's the trillion-dollar question. And the evidence suggests the answer is yes.

**Morgan Stanley's latest research** reinforces this view. The bank reiterated Nvidia as its **top semiconductor pick** with a **$300 price target**, citing six key drivers :

**1. Diversified customer base.** About half of Nvidia's business now comes from model companies, new cloud providers, sovereign entities, and enterprise clients—reducing reliance on traditional hyperscalers .

**2. Global footprint.** Of Nvidia's 80 cloud partners, **55 are located outside the U.S.**, spreading land and power constraints while generating higher-margin software and services revenue .

**3. Rising share of cloud capex.** Nvidia's share of major cloud providers' capital expenditures is steadily increasing, with general-purpose processors offering the longest asset lifespan .

**4. Revenue per gigawatt.** The upcoming **Feynman architecture** (2028) is expected to lift revenue per gigawatt from **$40 billion to over $50 billion**. The **Vera Rubin platform** offers up to **25x performance improvement** over Blackwell .

**5. "Resident Agents" driving GPU demand.** Revenue from these AI agents is expected to **double from $20 billion in 2026 to $40 billion in 2027** .

**6. Ecosystem capital deployment.** Nvidia is mobilizing approximately **$500 billion in non-proprietary capital** for AI data centers, with a commitment to return **50% of cash to shareholders** .

**Morgan Stanley's revenue forecasts for Nvidia:**

- **2026:** ~$216 billion

- **2027:** ~$406 billion

- **2028:** ~$690 billion 

**That's not a company peaking. That's a company in the early innings of a secular growth story.**

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## The Valuation Benchmark Shift Nobody's Talking About

### Why Target Prices Are Rising (And Why It's Not What You Think)

**Frequently Asked Question:** *Why do analysts keep raising Nvidia's price target?*

Here's the counterintuitive answer: **It's not always because they're more bullish. Sometimes it's just math.**

A recent analysis from Longport highlighted something most investors overlook . As we approach 2027, the market's valuation benchmark is naturally shifting from **2026 earnings** to **2027 earnings**.

**The numbers:**

- Nvidia's 2026 EPS estimate: ~$10.08

- Nvidia's 2027 EPS estimate: ~$16.12

At a stock price of $233.95, the P/E on 2026 earnings is about **23.2x**. But on 2027 earnings, it drops to just **14.5x** .

**Translation:** Even if Nvidia's stock price doesn't move, the forward P/E will naturally decline as the calendar rolls into 2027. That's why analysts can raise target prices without actually becoming more optimistic—they're just applying the same valuation multiple to higher future earnings .

**The key insight for investors:** Watch whether the **2027 EPS estimate itself** is being revised upward. If it is, that's genuine bullishness. If target prices rise but EPS estimates stay flat, it's just a calendar effect .

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## The "Barbell Strategy": How DBS Says You Should Play This

### Balancing Growth With Protection

**Frequently Asked Question:** *If it's not a bubble, should I go all-in on AI?*

**No. And even the bulls say so.**

Hou Wey Fook isn't just arguing that AI isn't a bubble. He's also recommending a **"barbell" approach** to manage risk .

**What that means:**

**On one side:** Growth-oriented technology stocks—the AI winners like Nvidia, but also the broader semiconductor and infrastructure ecosystem .

**On the other side:** Investment-grade fixed income—bonds that provide income stability and reduce portfolio volatility .

**In the middle:** Hedge funds and gold as risk diversifiers .

**Frequently Asked Question:** *Why use a barbell strategy if AI isn't a bubble?*

Because **"not a bubble" doesn't mean "no risk."**

Hou is clear that he sees "tailwinds to this play on the semiconductor, this play on AI" . But he's also realistic about the need to "control the overall volatility of the portfolio" .

**The lesson:** You can believe in the AI trade without betting the farm on it. Even the most bullish institutional investors are managing risk.

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## What the Broader Market Is Telling Us

### The Compression Is Happening Everywhere

**Frequently Asked Question:** *Is this just an Nvidia story, or is it broader?*

**It's broader.** And that's what makes it so significant.

The **S&P 500's forward P/E ratio** has dropped to **19.4**—its lowest level since April 2025, even as the index trades near all-time highs .

**How is that possible?** Because **earnings are growing faster than stock prices** across the market.

**The numbers:**

- **Nvidia:** 24.4x forward earnings 

- **Amazon:** 20.1x forward earnings 

- **Alphabet:** 17.2x forward earnings 

**Frequently Asked Question:** *What does this mean for the "AI bubble" narrative?*

It means the narrative is **wrong—or at least premature**.

A bubble forms when prices detach from fundamentals. Investors pay more and more for the same dollar of earnings. Eventually, reality catches up, and prices crash.

**That's not what's happening here.** Earnings are climbing. Valuations are compressing. The market is getting **cheaper** even as it hits new highs .

**That's the signature of a healthy bull market, not a bubble.**

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## The Risks You Still Need to Watch

### What Could Break the Bull Case

**Frequently Asked Question:** *If it's not a bubble, what should I worry about?*

Let me be clear: **"Not a bubble" doesn't mean "no risk."**

**Risk #1: Earnings growth disappoints.**

The entire bull case rests on **70% earnings growth**. If that doesn't materialize—if AI spending slows, if competition intensifies, if margins compress—the valuation argument falls apart .

**As GuruFocus noted:** "A 17-times forward multiple looks far less extreme when paired with projected 70% earnings growth. But if those growth expectations weaken materially, the argument against bubble-like valuations becomes less compelling" .

**Risk #2: Customer concentration.**

Nvidia's growth depends heavily on a handful of hyperscalers and AI companies. If **one or two key customers** cut spending, the impact could be severe .

**Risk #3: Margin pressure.**

Gross margins are expected to face pressure in the second half of fiscal 2027. While operating efficiency improvements may offset this, any significant margin decline would hurt earnings .

**Risk #4: The "calendar effect" unwinding.**

If analysts have been raising target prices simply because the valuation benchmark is shifting to 2027, that effect will eventually run its course. Without genuine earnings upgrades, the stock could stall .

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## Frequently Asked Questions

**Q: What exactly did DBS say about Nvidia?**

A: DBS Group CIO Hou Wey Fook said Nvidia's 17x forward P/E and 70% projected earnings growth show the AI rally isn't a bubble. He compared it to Cisco's 100x multiple before the dot-com crash .

**Q: What is Nvidia's current forward P/E?**

A: Approximately **17 times** 12-month forward earnings, according to Bloomberg-compiled data .

**Q: What was Cisco's P/E before the dot-com crash?**

A: Roughly **100 times earnings** .

**Q: How fast are Nvidia's earnings expected to grow?**

A: Approximately **70% next year**, according to data cited by DBS .

**Q: What is the "barbell strategy" DBS recommends?**

A: Combining growth-oriented technology stocks with investment-grade fixed income, plus gold and hedge funds as diversifiers to control portfolio volatility .

**Q: Why are analysts raising Nvidia's target prices?**

A: Partly because the valuation benchmark is shifting from 2026 to 2027 earnings. As the calendar advances, the same valuation multiple applied to higher future EPS produces a higher target price .

**Q: What is Morgan Stanley's price target for Nvidia?**

A: **$300**, with Nvidia named the top semiconductor pick. The bank's bull case sees $350, bear case $160 .

**Q: What is the average analyst price target for Nvidia?**

A: Approximately **$324-$327**, implying roughly **38-40% upside** from recent levels .

**Q: What's the biggest risk to the bull case?**

A: **Earnings growth disappointing.** If the projected 70% growth doesn't materialize, the valuation argument weakens significantly .

**Q: Is the broader market also cheaper?**

A: Yes. The S&P 500's forward P/E has fallen to **19.4**, its lowest since April 2025, even as the index trades near record highs .

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## Conclusion: The Math Doesn't Lie

Let me bring this home.

**The AI bubble debate has been raging for two years.** Every time Nvidia hits a new high, the skeptics come out. Every time the market pulls back, the "I told you so" crowd celebrates.

**But the math tells a different story.**

**Nvidia at 17x forward earnings** isn't a bubble. It's a company growing so fast that its valuation is compressing even as the stock rises. **Cisco at 100x** was a bubble. Nvidia at 17x is something else entirely .

**The broader market tells the same story.** The S&P 500's forward P/E is at its lowest level since April 2025. Earnings are growing faster than prices. Valuations are getting cheaper, not more expensive .

**Does that mean there's no risk? Absolutely not.**

The bull case depends on **70% earnings growth** materializing. It depends on AI spending continuing. It depends on Nvidia maintaining its technological lead and its margins.

**If those things happen?** The stock could still be undervalued.

**If they don't?** The valuation argument collapses.

**That's why even the bulls recommend a barbell strategy.** Growth on one side. Income on the other. Diversifiers in the middle. You can believe in the AI trade without betting everything on it .

**The bottom line:** Nvidia's valuation is a powerful signal that the AI rally isn't irrational. But it's not a guarantee. The earnings have to keep coming. And that's what every investor should be watching.

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## Disclaimer

**This article is for informational purposes only and does not constitute financial, investment, or trading advice.**

I am not a licensed financial advisor, investment professional, or analyst. The views expressed here are based on publicly available information and my own analysis at the time of writing.

**Key facts cited in this article are sourced from Bloomberg, DBS Group, Morgan Stanley, GuruFocus, TipRanks, Yahoo Finance, Stock Analysis, Longport, and other outlets as of October 4-5, 2026.** Analyst estimates, price targets, and projections are opinions, not guarantees. They can be wrong.

**Investing in semiconductor stocks, AI-related companies, or any financial instrument involves significant risk, including the potential loss of your entire investment.** **Past performance does not guarantee future results.** The valuation arguments presented in this article are based on current earnings estimates, which are subject to revision.

**The "not a bubble" argument does not mean the stock cannot decline.** Nvidia's stock has experienced significant drawdowns in the past and could do so again. The risks outlined in this article are real and could materialize.

**The mention of specific companies, securities, or analyst ratings is for illustrative purposes only and is not an endorsement or recommendation** to buy, sell, or hold any investment. Do not make financial decisions based solely on this article or any single analyst's opinion.

**Always conduct your own research before making any investment decisions.** Consult a qualified financial professional who understands your personal situation, risk tolerance, and goals.