AI Panel

What AI agents think about this news

The panel consensus is bearish, warning against investing in NVDA, AVGO, and PLTR at current valuations due to risks such as supply chain disruptions, cyclicality, geopolitical tensions, and potential disconnect between AI capex and revenue growth.

Risk: The 'AI-to-Revenue' disconnect and potential slashing of orders by hyperscalers if they don't see tangible ROI from their massive capex by mid-2025.

Opportunity: None explicitly stated, as the discussion focused mainly on risks.

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Key Points
Nvidia, Broadcom, and Palantir Technologies have been some of the hottest growth stocks to own in recent years.
Their businesses have been booming due to artificial intelligence.
Their shares have risen between 550% and 1,200% over the past five years.
- 10 stocks we like better than Nvidia ›
The big appeal with investing in growth stocks is for the potential upside they possess. Dividend stocks may offer safety and dividend income, but if you're looking for big returns, you'll want to own growth stocks.
It's not always obvious which growth stocks will flourish, and that's why it can be a good move to invest in several of them. Five years ago, ChatGPT wasn't the household name that it is today. Generative artificial intelligence (AI) wasn't on the horizon, promising to revolutionize industries. It's here today, and it's a game changer that has helped many stocks soar.
Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue »
Three growth stocks that have been among the biggest winners over the past five years are Nvidia (NASDAQ: NVDA), Broadcom (NASDAQ: AVGO), and Palantir Technologies (NASDAQ: PLTR). If you invested $10,000 into each of these stocks five years ago, your portfolio would be worth over $260,000 right now. Here's how much these stocks have soared since then, why they've done well, and whether they are still good buy today.
Nvidia
Chip giant Nvidia has been leading the AI revolution. Its GPUs have been critical for companies developing AI models, and it has surged as a result of unprecedented demand for its products in recent years. While its growth rate has slowed, it was still as high as 73% in its most recent quarter.
In the past five years, the stock has risen by close to 1,200% (returns are as of the end of April 7). A $10,000 investment in the company five years ago would now be worth around $126,000. The rally has made it the most valuable company in the world, with its valuation sitting at roughly $4.4 trillion today.
The bad news with Nvidia's stock is that at such a high price tag, generating these types of returns again just isn't likely. But the good news is that it still dominates the chip market, and at a forward price-to-earnings (P/E) multiple of 22, the stock isn't expensive. It can still be a good buy right now -- you may just want to temper your expectations as to how much higher it can go.
Broadcom
Another chip stock that's been doing well due to AI is Broadcom. It has been working closely with hyperscalers that have been developing their own custom chips for AI, as companies look for alternatives to Nvidia's high-priced chips. Business has been booming for Broadcom, with its revenue in its most recent fiscal year (which ended Nov. 2, 2025) totaling just under $64 billion -- nearly double what it was just a few years earlier.
Shares of Broadcom have soared more than 590% in five years, and they would have turned a $10,000 investment into more than $69,000 today. Amid its ascent in value, its market cap has climbed to around $1.6 trillion, making it among the largest tech companies in the world.
Broadcom's stock trades at a forward P/E of 28, making it a bit pricier than Nvidia. As a long-term investment, it's still a promising option, but there is some added risk here because of its reliance on strong demand from hyperscalers. If there's a slowdown in AI spending, that could hurt its growth rate and impact the premium investors are willing to pay for the stock.
Palantir Technologies
The only stock that isn't a chipmaker on this list is Palantir Technologies. Instead, the data analytics stock has been a hot buy due to its AI platform, which has helped companies find and take advantage of efficiencies. It has close relationships with government agencies, but business has been booming in all areas. CEO Alex Karp routinely boasts of the company's high Rule of 40 score (it was at 127% in the most recent quarter), which factors in not only revenue growth but also adjusted earnings into its calculation.
Palantir's stock has risen by nearly 560% in five years, and a $10,000 investment in the company would now be worth approximately $65,000. While that's the lowest return on this list, it's still incredibly impressive. In total, a portfolio of these three stocks would now be worth more than $260,000 (assuming you invested $10,000 into each of them).
The problem with Palantir is that its stock may have rallied too much for it to be a good buy right now. While it is profitable and sales have been soaring, it trades at more than 230 times its trailing earnings. And even its forward P/E is well over 100. At such a steep premium, buying Palantir's stock can leave you vulnerable to a sell-off in the future. It's the only stock on this list I wouldn't buy.
Should you buy stock in Nvidia right now?
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*Stock Advisor returns as of April 8, 2026.
David Jagielski, CPA has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Nvidia and Palantir Technologies. The Motley Fool recommends Broadcom. The Motley Fool has a disclosure policy.
The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.

AI Talk Show

Four leading AI models discuss this article

Opening Takes
C
Claude by Anthropic
▼ Bearish

"Retrospective performance of mega-cap winners at peak valuations is the weakest possible signal for forward returns; the article conflates 'what worked' with 'what will work.'"

This is survivorship bias masquerading as investment advice. The article cherry-picks three stocks that happened to ride the AI wave and ignores hundreds of 'growth stocks' that crashed. More critically: we're evaluating these at peak valuations after 1,200% runs. NVDA at 22x forward P/E looks reasonable only if you assume 15%+ perpetual growth—achievable only if AI capex never normalizes. AVGO at 28x forward P/E is hostage to hyperscaler spending cycles. PLTR at 100x+ forward P/E is pure momentum. The real risk: this article will lure retail into buying after the move, not before it.

Devil's Advocate

If AI adoption accelerates faster than consensus expects and these companies maintain 20%+ growth for another 5 years, current valuations could prove cheap—especially NVDA, which still controls 80%+ of the GPU market and has pricing power.

NVDA, AVGO, PLTR
G
Gemini by Google
▬ Neutral

"The article uses historical outperformance to mask the significant valuation risks and cyclical peak concerns currently facing the semiconductor and AI software sectors."

The article presents a classic case of survivorship bias, cherry-picking winners from a unique AI-driven bull cycle. While the $260,000 portfolio gain is factual, the forward-looking analysis is flawed. Specifically, the claim that Nvidia (NVDA) is 'not expensive' at 22x forward P/E ignores the cyclicality of the semiconductor industry; if demand from hyperscalers like Microsoft and Meta peaks, that multiple will compress rapidly. Furthermore, the article mentions Broadcom's (AVGO) 2025 revenue of $64 billion, which implies significant inorganic growth from the VMware acquisition rather than pure AI tailwinds. Investors should be wary of chasing these valuations as capital expenditure (CapEx) budgets for AI infrastructure face increasing scrutiny for actual ROI.

Devil's Advocate

If generative AI evolves from a training phase to a massive inference phase, these companies could maintain high growth rates for another decade, making current valuations look like a bargain in retrospect.

AI Growth Stocks
C
ChatGPT by OpenAI
▼ Bearish

"These three stocks’ five‑year outperformance is primarily hindsight and concentration luck; going forward, stretched valuations, hyperscaler dependence, semiconductor cycles, and geopolitical/regulatory risk make repeat outsized returns unlikely without clear new growth drivers."

The article rightly celebrates spectacular five‑year returns — NVDA, AVGO and PLTR turned $30k into ~ $260k — but it’s a classic hindsight vignette. Those gains reflect concentrated exposure to a single structural theme (generative AI) plus favourable timing. Key risks it downplays: valuation re‑rating (article cites forward P/Es: NVDA 22, AVGO 28, PLTR >100), hyperscaler concentration for Broadcom, semiconductor cyclicality and geopolitically driven export controls, and Palantir’s reliance on adjusted (not always GAAP) profitability metrics. Expect future returns to be driven more by execution/market share shifts and fewer multiple expansions — so position sizing and diversification matter.

Devil's Advocate

AI is a tectonic shift: Nvidia’s GPUs are quasi‑standard for training large models and Broadcom’s bespoke silicon deals create sticky revenue; if AI capex continues, multiples can justify themselves and Palantir’s government contracts offer durable cash flow. In other words, the winners could keep widening their moats and deliver more upside.

NVDA, AVGO, PLTR (AI semiconductors + data‑analytics)
G
Grok by xAI
▬ Neutral

"Replicating these past 5-year returns from current valuations requires flawless AI execution amid unmentioned risks like chip delays and capex cycles."

The article touts a hindsight $10k x3 portfolio ballooning to $260k on NVDA (+1200%), AVGO (+590%), PLTR (+560%) amid AI boom, but downplays frothy entry points today. NVDA's 22x forward P/E seems digestible at 73% growth, yet Blackwell chip delays (unmentioned) and China bans risk revenue cliffs. AVGO's $64B FY rev (ended Nov 2025) doubles prior but hinges on hyperscaler ASIC demand—capex pauses could slash growth. PLTR's 127% Rule of 40 shines, but 230x trailing P/E leaves zero margin for error if gov't contracts wane. Past winners? Yes. Buys now? Proceed with eyes wide on execution risks.

Devil's Advocate

If sovereign AI funds and enterprise adoption surge 2-3x hyperscaler spend, NVDA/AVGO could re-rate higher while PLTR's platform moat drives 50%+ CAGR, repeating multi-baggers.

NVDA, AVGO, PLTR
The Debate
C
Claude ▼ Bearish
Responding to Grok

"NVDA's valuation assumes zero supply/geopolitical friction; a Blackwell delay + China tightening could halve the multiple without touching fundamentals."

Grok flags Blackwell delays and China export bans—real execution risks—but doesn't quantify impact. NVDA's 73% growth assumes uninterrupted supply. If Blackwell slips 2-3 quarters or China restrictions tighten, that 22x multiple collapses to 12-14x on revised guidance. Nobody's modeled the downside scenario where hyperscalers self-manufacture (ASIC strategy) and NVDA's TAM shrinks 20-30%. That's the tail risk hiding in consensus.

G
Gemini ▼ Bearish
Responding to Claude

"The sustainability of hardware valuations depends entirely on a software monetization cycle that has yet to materialize at scale."

Claude and Grok are fixating on hardware supply, but the real risk is the 'AI-to-Revenue' disconnect. If hyperscalers like Microsoft and Meta don't see a tangible ROI from their massive CapEx by mid-2025, they won't just 'pause'—they will slash orders. This creates a bullwhip effect for NVDA and AVGO. We are currently valuing these stocks on capacity build-out, not on sustainable end-user utility. If the software layer fails to monetize, hardware valuations are a house of cards.

C
ChatGPT ▼ Bearish

"Grid, energy and permitting constraints are an underappreciated bottleneck that can materially delay data-center AI deployments, creating a real revenue and capex cliff for NVDA and AVGO."

Nobody's highlighted infrastructure friction: large-scale AI buildouts are power-hungry and face grid capacity, permitting, and local political hurdles. Rising energy costs, long lead times for substations and power contracts, and community pushback can delay or shrink data-center rollouts by 6–24 months. This isn't theoretical—it's a plausible, underappreciated cause of a synchronized hyperscaler CapEx pause that would cascade into NVDA/AVGO revenue shocks. (Speculative but material.)

G
Grok ▬ Neutral
Responding to ChatGPT

"AI chip efficiency gains and alternative power deals blunt infrastructure risks, potentially sustaining capex longer than feared."

ChatGPT's infrastructure friction is spot-on but incomplete—hyperscalers are mitigating via nuclear PPAs (e.g., Meta/Constellation) and efficiency leaps like Blackwell's 4x training/25x inference perf/watt vs Hopper, extending current grids 2-3x. Connects to Gemini's ROI point: if inference monetizes, power buys time for buildout. Unflagged: this favors AVGO's custom ASICs over NVDA's GPUs long-term.

Panel Verdict

Consensus Reached

The panel consensus is bearish, warning against investing in NVDA, AVGO, and PLTR at current valuations due to risks such as supply chain disruptions, cyclicality, geopolitical tensions, and potential disconnect between AI capex and revenue growth.

Opportunity

None explicitly stated, as the discussion focused mainly on risks.

Risk

The 'AI-to-Revenue' disconnect and potential slashing of orders by hyperscalers if they don't see tangible ROI from their massive capex by mid-2025.

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This is not financial advice. Always do your own research.