Who Will Lead the AI Growth Stocks in 2026? Analyzing the Growth Strategies of NVIDIA, Broadcom, and Marvell Technology

As of June 15, 2026, the US equity market continues to see AI-driven technology growth stocks leading the way in a structurally bullish trend. The Nasdaq Composite closed at 25,888.84, while the Philadelphia Semiconductor Index (SOX) rose 1.52% to finish at 13,371.47. In pre-market trading on June 15, the SOX continued its upward momentum, gaining another 1.52%. The Nasdaq maintained its high-level tone, with AI and semiconductor sectors remaining the main destinations for capital inflows. Against a broadly bullish but structurally divergent market backdrop, the logic within the semiconductor sector is shifting from "broad-based gains" to "performance-driven differentiation."

In this AI compute demand-driven rally, NVIDIA, Broadcom, and Marvell Technology have maintained their leadership thanks to differentiated technology paths and business models. As of June 15, 2026, NVIDIA reported quarterly revenue of $81.6 billion, up 85% year-over-year, with growth accelerating for the third consecutive quarter. Broadcom’s AI semiconductor business is expected to reach $56 billion in annual revenue, representing nearly 180% year-over-year growth. Marvell Technology is set to join the S&P 500, with its stock up over 200% year-to-date, drawing significant market attention. Are the fundamentals supporting these soaring valuations still robust? What insights do the latest events and data provide? And how does Gate’s newly launched stock trading feature create new pathways for allocating to AI growth stocks?

NVIDIA: Accelerating Revenue Growth—What’s Next for a Trillion-Dollar Company?

NVIDIA remains the most dominant player in the AI compute infrastructure space. As of pre-market data on June 15, NVDA was trading around $205, with Morningstar reporting a previous close at $208. The current valuation corresponds to an adjusted P/E ratio of about 31.42x and a total market cap of roughly $4.97 trillion.

From a performance perspective, NVIDIA’s fundamentals continue to accelerate rather than slow down. The latest quarterly revenue reached $81.6 billion, up 85% year-over-year, with growth rates accelerating for the third straight quarter (previous quarters: 73% and 62%). Data center revenue surged 92% to $75.2 billion, accounting for over 90% of total revenue. The company raised its Q2 revenue guidance to $91 billion. Profitability remains strong, with gross margins near 75%, well above most tech peers. NVIDIA also executed about $20 billion in buybacks and dividends in a single quarter and announced an additional $80 billion share repurchase authorization.

Despite this stellar report, the stock rose just 0.16% on June 12, with no significant follow-through buying. The main reasons: First, the company’s outlook assumes zero data center revenue from China, a market that previously contributed over 20% of data center sales. Second, while hyperscale cloud providers are ramping up NVIDIA chip purchases, they’re also accelerating in-house alternatives. According to Goldman Sachs, Microsoft, Google, Amazon, and Meta are expected to spend a combined $770 billion in capex in 2026, with AI investments’ long-term impact on ROE becoming an increasingly important macro variable for investors.

On the product front, NVIDIA announced several major advances at Computex in early June. The RTX Spark "superchip" integrates Blackwell GPUs with N1X/N1 CPUs for PC applications. The Blackwell platform has entered mass shipment, with customers reporting increasing procurement difficulty and longer lead times—signs that supply remains tight. The next-gen Rubin architecture has begun sampling to select top partners, but large-scale shipments are expected only in the second half of fiscal 2027. On the supply side, NVIDIA has secured DRAM and HBM capacity ahead of competitors, maintaining its supply chain advantage.

From an institutional allocation perspective, 60 analysts maintain "Buy" or "Strong Buy" ratings, and 2,991 institutions have increased their holdings, viewing NVIDIA as foundational in the AI era. However, over the past six months, insiders executed 98 sell transactions and zero buys, highlighting a clear divergence between internal and institutional perspectives.

Key focus: Whether NVIDIA can maintain 80%+ year-over-year growth in its next quarterly guidance will be crucial for sustaining its current valuation. If the $91 billion Q2 revenue target is met, the current ~35x P/E is not "expensive" given the growth. But if cloud capex slows mid-cycle, NVIDIA could face valuation compression.

Core Growth Logic Comparison: Three AI Chip Giants

Broadcom: Digesting Record Earnings—Is the ASIC Leader’s Moat Secure?

Broadcom, which focuses on custom AI accelerator chips, posted record results in its Q2 FY2026 report on June 3: total revenue of $22.187 billion, up 48% year-over-year; AI semiconductor revenue of $10.8 billion, up 143%—a new high. Q2 saw over $30 billion in new AI semiconductor orders, far exceeding the $10.8 billion in shipments. For all of FY2026, Broadcom expects AI semiconductor revenue to hit $56 billion, up about 180% YoY, and reiterated FY2027 guidance above $100 billion.

Despite the strong report, AVGO shares fell as much as 13% after hours. On June 12, the stock closed at $382.07, down 0.91% for the day. As of June 15, AVGO was trading around $382 pre-market, up about 9.91% year-to-date, but down 10.14% over the past 30 days. UBS maintains a "Buy" rating with a $485 target (about 27% upside), and CITIC Securities also rates it "Outperform" with a $525 target. However, valuation remains contentious, with the latest P/E ratio between 47x and 50x depending on the model, leading to wide differences in fair value estimates.

Broadcom’s biggest moat is its long-term custom chip partnerships with Google (TPU) and Meta (MTIA). Switching costs for custom ASICs are extremely high, with development cycles of 2–3 years, so the near-term order base is secure. However, two key shifts warrant attention:

First, the competitive landscape is evolving. At Computex, NVIDIA CEO Jensen Huang publicly called Marvell Technology the "next trillion-dollar company," directly challenging Broadcom’s core territory. The market is reassessing the competitive order between Broadcom and Marvell in the custom ASIC space. The September earnings report will be a key test: If Broadcom’s AI semiconductor revenue grows over 15% quarter-over-quarter and order visibility remains above four quarters, competitive threats remain contained. If growth falls below 20% for two consecutive quarters, the market will start pricing in competitive erosion.

Second, client in-house chip strategies need ongoing monitoring. Macquarie forecasts Broadcom’s share of Google TPU-related revenue will drop from about 95% in 2026 to 65% in 2028. Still, Broadcom boasts the most diversified customer base, including Google, Meta, OpenAI, and four other core custom chip clients, with orders extending several years out, keeping concentration risk manageable in the short term.

Key focus: The quarter-over-quarter growth in AI semiconductor revenue in Broadcom’s next report is the clearest indicator of its competitive moat. If growth stays above 15%, the multi-point custom ASIC demand thesis holds. If growth slows significantly, changing competitive dynamics will start to impact valuation models.

Marvell Technology: Lofty Valuation, but Multiple Catalysts in Play

Among the three AI chip leaders, Marvell Technology has seen the densest cluster of price action and event catalysts recently. As of June 15, MRVL was trading around $279.70, down 0.36% on the day. With a market cap of about $234 billion, Marvell’s stock is up over 200% year-to-date, leading the AI growth cohort.

Several key events have fueled Marvell’s rally. At Computex on June 2, NVIDIA CEO Jensen Huang publicly named Marvell as the next trillion-dollar company, highlighting its critical role in solving AI data center interconnect bottlenecks—high-speed networking chips, optical DSPs, and custom ASICs are the fastest-growing components as GPU clusters scale. On June 5, Marvell announced its inclusion in the S&P 500, effective before the open on June 22, which will trigger mandatory index fund allocations and provide short-term structural inflows. On June 11, the stock jumped 11.13% to $280.71, with volume surging to 57.25 million shares, up 5.68% from the previous day. On June 15, new CFO Dan Durn officially took over from Willem Meintjes (who served three years), and the company reaffirmed its unchanged Q2 FY2027 guidance.

On the performance side, FY2026 data center revenue exceeded $6 billion, about 75% of total revenue. FY2027 Q1 revenue guidance is $2.4 billion, with full-year revenue guidance around $11 billion. On the ratings front, B. Riley raised MRVL’s target from $240 to $345 on June 12, maintaining a "Buy" rating, citing deep collaboration with NVIDIA in NVLink Fusion and silicon photonics. Stifel raised its target to $321; Benchmark set a $275 target. As of June 15, the consensus analyst target range is $240–$345, with the current price near the upper end, reflecting a high valuation.

From a valuation safety margin perspective, the current TTM P/E ratio of about 96–100x is clearly elevated. Institutions widely expect EPS to double over the next two years, driven by two main engines: custom ASIC business is projected to surpass $10 billion in revenue by FY2029, and the optical business is growing over 70% annually, providing a second long-term growth driver. However, high valuation means much of future growth is already priced in, so any downward revision in revenue or margin could trigger significant valuation compression.

Key focus: The scale of incremental inflows after S&P 500 inclusion, whether next quarter’s guidance exceeds $2.5 billion, and the announcement of any new hyperscale custom ASIC deals—these three signals will determine how quickly Marvell’s "trillion-dollar narrative" moves from expectation to reality.

Key Valuation Metrics & Events: Three AI Growth Stocks at a Glance

Gate Stock Trading: Allocate to AI Growth Stocks with USDT—All in One Place

For investors bullish on the AI sector, the core pain point has been how to efficiently allocate to US AI growth stocks directly within a crypto trading environment. Traditional US stock trading typically involves multiple steps—selling crypto, withdrawing to fiat, cross-border remittance, opening a brokerage account, funding—which can take days. Gate TradFi’s real stock trading, launched in June 2026, compresses this process to just seconds.

In terms of asset coverage, Gate TradFi now offers over 10,000 real stocks and ETFs, spanning all major US exchanges including NYSE and Nasdaq. NVDA, AVGO, and MRVL are all available for trading, allowing investors to allocate to AI growth stocks without switching platforms.

Gate’s stock trading offers four core advantages. USDT direct settlement: USDT in your account can be used directly to buy US stocks, eliminating the need for fiat conversion and cross-border transfers, greatly improving efficiency. Fractional share trading: Buy as little as 0.01 shares—start investing in US stocks for about $1, lowering the entry barrier for AI growth stocks from hundreds to just a few dollars. Compliance & asset safety: All trades are executed by Alpaca, a licensed US broker-dealer and clearing firm. Assets are independently custodied by the DTC system. Alpaca is also a member of SIPC, providing investor protection for securities assets. Fee advantage: Eligible users enjoy fees as low as 0.023%, with no funding or overnight holding fees for real stock trades. Investors holding real stocks enjoy full corporate action rights, including cash dividends, stock dividends, rights issues, splits, and bonus shares, with dividends automatically credited to your Gate account.

Trading process: Update your Gate app to the latest version, go to "TradFi → Stocks," transfer USDT from your spot or unified account to your stock account, then search and purchase your target stock.

Conclusion

NVIDIA, Broadcom, and Marvell Technology represent three distinct growth paths in the 2026 AI compute race. NVIDIA leverages its Blackwell and Rubin product generations to build a technological moat and maintain dominance in high-performance GPUs. Broadcom, through custom ASICs, forges deep ties with hyperscale cloud providers, supporting mid- to long-term growth with high order visibility. Marvell stands out in high-speed interconnects and custom computing, drawing intense market focus thanks to supply chain advantages and index inclusion catalysts. All three have solid, sustainable growth drivers.

However, investors must also recognize the structural risks each faces. NVIDIA contends with the long-term threat of hyperscale clients developing in-house alternatives and the still-unresolved impact of geopolitical factors on China revenue. Broadcom must watch for Google’s in-house chip strategy eroding its market share and the potential margin dilution from a rising custom chip mix. Marvell’s lofty valuation already prices in significant future growth; any delay in performance delivery could result in sharp valuation corrections. Additionally, the cyclical nature of the chip industry, changes in macro interest rates affecting high-valuation names, and geopolitical risks to the supply chain all form a complex risk matrix for AI growth stock investing.

In this window of both risk and opportunity, Gate’s stock trading feature offers investors a low-barrier gateway to participate in global mainstream equity markets directly from the crypto ecosystem.