What's Next After NVDA Beats Earnings? Tickeron AI's 10 Stocks to Ride the AI Locomotive and 10 ETFs Racing Toward New Highs

Key Takeaways

• NVIDIA topped Wall Street on every headline metric for fiscal Q2 2027: adjusted EPS of $2.22 beat the $2.09 consensus, and revenue of $96.22 billion beat the $92.27 billion estimate, up 105.90% year-over-year.
• The stock closed the regular session down -1.59% at $209.66, then reversed sharply after the print, trading back up to roughly $217 (about +3.5%) in after-hours action as investors digested the beat-and-raise guidance.
• Tickeron's AI Trading Bots, which run sector-rotation models across the market, have been rotating capital toward semiconductors and AI infrastructure ahead of the print — the same sector-rotation engine that delivered up to 135% returns in prior energy/industrial rotations is now flagging AI hardware and power infrastructure as the next leadership group (Tickeron).
• Tickeron's Financial Learning Models (FLMs) screened the broader AI supply chain and selected ten "locomotive" stocks — foundry, memory, lithography, custom silicon, and data-center infrastructure names — that historically move in NVDA's slipstream after a strong earnings print.
• For retail traders: every name below carries its current price, year-to-date performance, Wall Street consensus price target and upside, and a 30-day directional read so you can size positions and set alert levels before the next session opens.
• The ten ETFs ranked below are sorted by verified NVDA portfolio weight, not marketing claims — several widely cited "high NVDA exposure" ETFs discussed online carry little or no direct NVDA position once actual holdings are checked, so weight percentages here come straight from underlying fund holdings data.
• Margin compression is the one caution flag in the print: NVIDIA guided Q3 gross margin to about 74%, a Q4 trough of 71–72%, and full-year fiscal 2028 margins of 72–73% as rising memory (HBM) costs bite — a dynamic that is a direct tailwind for Micron, one of the ten locomotive picks below.

 

NVIDIA's Earnings Beat and What It Means for the AI Industry

NVIDIA delivered its fiscal second-quarter 2027 results after the close on Wednesday, August 26, 2026, and the numbers reinforced the thesis that AI infrastructure spending has not slowed. Adjusted earnings per share came in at $2.22 against a $2.09 consensus, a beat of $0.13, while revenue reached $96.22 billion versus the $92.27 billion Wall Street was modeling — a beat of $3.95 billion and year-over-year growth of 105.90%.

Data Center revenue, the segment investors watch most closely, rose 18% quarter-over-quarter to $89 billion, ahead of the roughly $85.8 billion analysts had projected. Within that, Hyperscale revenue grew 13% sequentially to $49 billion on sustained Blackwell demand, while the ACIE segment (NeoCloud, industrial, and enterprise customers) grew 138%. Management guided Q3 revenue to a range of $105.8 billion to $110.1 billion, comfortably above prior Street expectations, and pointed to roughly 70% full-year revenue growth for fiscal 2028.

The one blemish in an otherwise clean beat was margin guidance. NVIDIA now expects Q3 gross margin near 74%, a Q4 trough of 71–72%, and full fiscal-2028 margins of 72–73%, as rising memory costs — chiefly HBM — compress profitability even as unit volumes climb. That single data point is the market's clearest signal yet that memory suppliers, not just NVIDIA itself, are capturing an increasing share of AI infrastructure economics — a dynamic that directly shapes several of the picks below.

Shares initially sold off before the print and closed the regular session down -1.59% at $209.66, roughly -12.82% below the stock's 52-week high of $236.54. But once the results and Q3 guidance were digested, NVDA reversed hard in after-hours trading, rising more than 4% off its lows to around $217, roughly 3.5% above the closing price. Wall Street's average price target on NVDA sits at $314.38, with a high estimate of $500.00 across 29 analysts, of whom 100.0% rate the stock bullish — implying roughly 49.95% upside from Wednesday's close.

For the broader AI industry, the message is that the capex cycle is not decelerating: hyperscaler orders remain sold out well into next year, and the bottleneck is shifting from GPU supply to power, memory, and packaging capacity. That reframing is exactly why Tickeron's AI models are rotating attention toward the companies that supply the picks-and-shovels layer beneath NVIDIA rather than NVIDIA alone. NVIDIA's own ticker page is available at NVDA.

 

Top 10 Companies Positioned to Follow NVDA's Gains as the AI Locomotive

Tickeron's Financial Learning Models screened the AI hardware and infrastructure value chain for companies whose revenue is structurally tied to NVIDIA's Data Center growth — foundry capacity, high-bandwidth memory, lithography, custom silicon, GPU-based competitors, and the servers and power/cooling systems that turn chips into deployed AI capacity.

TSM — Taiwan Semiconductor Manufacturing

TSM is NVIDIA's exclusive foundry partner for every Blackwell and Rubin-generation GPU; its advanced packaging capacity is sold out years deep, which makes it the single choke point between NVIDIA's chip designs and physical silicon. Shares trade at $417.69, up +37.45% year-to-date, with 7 analysts averaging a $552.00 target (85.7% bullish) — 32.16% of upside from here. Tickeron's AI selected TSM because every incremental dollar of NVIDIA Data Center revenue converts almost directly into TSM wafer-start volume; the 30-day read is bullish given continued visibility into NVIDIA's raised Q3 guidance.

AVGO — Broadcom

Broadcom sits on both sides of the AI capex trade: it builds the custom AI accelerators (XPUs) that hyperscalers use to diversify away from NVIDIA GPUs, and it supplies the Ethernet AI networking switches that connect GPU clusters regardless of whose silicon is inside them. At $355.59, the stock is only +2.74% year-to-date despite the AI narrative, leaving room to close the gap; 25 analysts average $504.16 (92.0% bullish), implying 41.78% upside. Tickeron's model flags AVGO as a "wins either way" hedge on NVIDIA's market share — the 30-day forecast is bullish.

MU — Micron Technology

Micron is the only US-based maker of high-bandwidth memory (HBM), the component sitting inches from every Blackwell GPU on every hyperscaler rack, and Goldman Sachs has separately named it a top AI winner alongside NVIDIA itself. NVIDIA's own Q2 print flagged rising memory costs as the reason for margin compression — a direct read-through to MU's pricing power. Shares have already run +228.79% year-to-date to $938.40, yet 26 analysts still average $1,375.38 (96.2% bullish), or 46.57% further upside. Tickeron's 30-day forecast: bullish, though position sizing should account for the size of the move already realized.

ASML — ASML Holding

Every advanced AI chip on earth starts on an ASML EUV lithography machine — NVIDIA designs, TSMC fabricates, but neither exists without ASML's scanners, making it the AI trade's single point of dependency upstream of the entire chain. At $1,745.64, ASML is up +63.17% year-to-date; 7 analysts average $2,009.71 (85.7% bullish), for 15.13% upside. Tickeron's 30-day forecast: moderately bullish, reflecting a more measured near-term upside than the fabless and memory names above.

AMD — Advanced Micro Devices

As the primary alternative GPU supplier, AMD captures AI compute demand NVIDIA cannot fill on its own, and its MI-series accelerators are increasingly designed into the same hyperscaler roadmaps driving NVIDIA's guidance beat. Shares sit at $480.93, up +124.57% year-to-date, with 33 analysts averaging $581.79 (81.8% bullish) for 20.97% further upside. Tickeron's 30-day forecast: bullish, tracking the same capex acceleration signal as NVIDIA's own Q3 guide.

MRVL — Marvell Technology

Marvell supplies custom AI silicon and optical/electrical interconnects that move data between GPU clusters — the plumbing layer that scales with every new hyperscaler AI cluster regardless of which GPU vendor wins. At $245.11, the stock is already up 188.43% year-to-date; 26 analysts average $264.15 (84.6% bullish), for a comparatively modest 7.77% upside. Tickeron's 30-day forecast: moderately bullish, since the stock is trading close to where sell-side models already expect it to land.

ARM — Arm Holdings

Arm's CPU architecture underpins NVIDIA's own Grace CPU line and a growing share of custom AI silicon industry-wide, giving it a licensing-fee claim on nearly every AI system shipped, chip-agnostic. Shares trade at $251.06, up 3.93% on the day and 129.68% year-to-date; 19 analysts average $294.11 (73.7% bullish) for 17.15% upside. Tickeron's 30-day forecast: moderately bullish.

DELL — Dell Technologies

Dell is one of the largest system integrators turning NVIDIA GPUs into deployable AI servers for enterprise customers, giving it direct exposure to the enterprise/ACIE demand segment that grew 138% in NVIDIA's print. At $464.02, the stock has already surged 268.62% year-to-date; 18 analysts average $503.67 (77.8% bullish), leaving 8.54% upside. Tickeron's 30-day forecast: neutral to bullish — the easy re-rating has largely happened, so near-term gains likely track broader AI-hardware sentiment rather than a fresh catalyst.

SMCI — Super Micro Computer

Super Micro builds high-density, liquid-cooled AI server racks with some of the highest NVIDIA GPU content per unit in the industry, making it one of the most direct volume plays on Data Center hardware shipments. Shares fell -2.78% on the day to $37.39, still up 27.74% year-to-date; but only 9 analysts cover the name and just 22.2% rate it bullish, with an average target of $37.78 implying just 1.04% upside — essentially in line with the current price. Tickeron's 30-day forecast: neutral / cautious, reflecting execution-risk concerns that have kept sell-side sentiment tepid even as the AI hardware cycle broadens.

VRT — Vertiv Holdings

Vertiv supplies the power distribution, thermal management, and liquid-cooling infrastructure that data centers need to physically house NVIDIA's power-hungry GPU racks — a bottleneck that is becoming as important as chip supply itself. At $263.81, up 3.15% on the day and 62.84% year-to-date, 15 analysts average $332.93 (93.3% bullish) for 26.20% upside. Tickeron's 30-day forecast: bullish, consistent with continued data-center buildout announcements.

Top 10 ETFs With the Highest Verified NVDA Weighting

Rather than rely on marketing claims about "AI exposure," each ETF below was checked against actual reported holdings data to confirm real NVDA portfolio weight. One widely cited semiconductor ETF (Strive U.S. Semiconductor ETF, SHOC) was excluded after its holdings showed 0% direct NVDA exposure despite web coverage suggesting otherwise — a reminder to retail traders to verify holdings directly rather than trusting secondhand weighting claims. In place of a fixed sell-side price target (which does not exist for ETFs), the table uses Tickeron's AI Target, calculated as the percentage gap between the current price and the fund's 52-week high — a technical/model-based projection of the move needed to reach a new high, not a broker's forecast.

NVDL — GraniteShares 2x Long NVDA Daily ETF

NVDL is the highest-torque way to trade NVIDIA's post-earnings move, carrying 66.66% direct NVDA weight through 2x daily leverage. At $31.75, it's up a modest 8.21% year-to-date given NVDA's own choppy 2026, but sits 36.29% below its 52-week high — the largest gap-to-high on this list, meaning it needs the biggest NVDA rally to make new highs. Tickeron's 30-day forecast: bullish, though leveraged single-stock funds carry decay risk and are best suited to short holding periods, not buy-and-hold.

SMH — VanEck Semiconductor ETF

SMH carries the highest NVDA weight of any diversified semiconductor fund at 21.94%, alongside TSM, AVGO, and MU exposure — effectively a basket of several of the locomotive stocks above in one ticker. Trading at $555.77, up 54.32% year-to-date, it sits 20.88% below its 52-week high. Tickeron's 30-day forecast: bullish.

FTEC — Fidelity MSCI Information Technology Index ETF

FTEC's 17.36% NVDA weight anchors a broad technology-sector fund. At $281.66, up 25.37% year-to-date, it is only 6.79% from a fresh 52-week high — one of the tightest gaps on this list. Tickeron's 30-day forecast: bullish.

VGT — Vanguard Information Technology ETF

VGT holds 17.16% in NVDA within a low-cost, broad tech-sector wrapper. Shares trade at $117.99, up 25.23% year-to-date, and sit just 6.79% below their 52-week high. Tickeron's 30-day forecast: bullish.

XLK — Technology Select Sector SPDR Fund

XLK's 14.23% NVDA weight comes inside the S&P 500's technology-sector SPDR, giving broad large-cap tech exposure alongside AI infrastructure names. At $182.84, up 27.00% year-to-date, the fund is 8.69% from new highs. Tickeron's 30-day forecast: bullish.

IYW — iShares U.S. Technology ETF

IYW carries 14.01% NVDA weight and, at $246.67, sits just 5.81% below its 52-week high — the tightest gap of any fund on this list, up 23.53% year-to-date. Tickeron's 30-day forecast: bullish, as the smallest distance to a new all-time high on this list.

BOTZ — Global X Robotics & Artificial Intelligence ETF

BOTZ offers 9.35% NVDA exposure within a thematic robotics-and-AI fund, but is the only ETF on this list still down year-to-date at $35.63 (-1.66%), with a 17.06% gap to its 52-week high. Tickeron's 30-day forecast: neutral, as the theme's broader robotics holdings have lagged pure semiconductor exposure.

SOXX — iShares Semiconductor ETF

SOXX's 9.04% NVDA weight sits inside a broad semiconductor-index fund that has still returned 71.14% year-to-date to $515.40, leaving a 27.27% gap to new highs. Tickeron's 30-day forecast: bullish.

QQQ — Invesco QQQ Trust

QQQ's 8.28% NVDA weight comes through the Nasdaq-100's mega-cap tech concentration. At $711.37, up 15.80% year-to-date, QQQ is only 5.24% from a fresh all-time high — the closest of any fund on this list. Tickeron's 30-day forecast: bullish.

PSI — Invesco Semiconductors ETF

PSI rounds out the list with 5.92% NVDA weight inside an equal-weighted semiconductor fund. Shares trade at $136.51, up the most of any ETF here at 73.10% year-to-date, though still 38.63% below its 52-week high given the fund's smaller-cap semiconductor tilt. Tickeron's 30-day forecast: bullish.

Why Tickeron's AI Picked These Tickers

Tickeron's screening combined three signals: direct financial linkage to NVIDIA's Data Center revenue line (foundry, memory, lithography, custom silicon, servers, and power infrastructure), analyst sentiment strength (consensus rating and percentage of bullish coverage), and verified portfolio exposure for the ETF basket rather than self-reported "AI exposure" marketing. Stocks and funds with the tightest, most direct supply-chain link to NVIDIA's stated Data Center and Hyperscale growth — TSM, AVGO, and MU chief among them — scored highest, while names like SMCI with weaker analyst conviction were flagged for a more cautious near-term stance despite strong year-to-date performance. On the ETF side, real fund-holdings data determined ranking, which is why SHOC — despite web claims of meaningful NVDA exposure — was excluded entirely after its holdings confirmed 0% direct NVDA position, and PSI was substituted in its place.

Tickeron's AI Trading Bots and Financial Learning Models

Tickeron's AI Trading Bots continuously scan sector rotation patterns across the market, reallocating simulated capital toward the sectors showing the strongest relative-strength trends. That same sector-rotation engine has previously delivered returns as high as 135% by rotating between energy and industrial sectors at the right moments, and the current rotation signal points toward semiconductors and AI infrastructure following NVIDIA's beat-and-raise print (Tickeron).

Beyond sector rotation, Tickeron's AI Pattern Trading Bots scan more than 300 million historical chart patterns to identify recurring setups with statistically favorable outcomes, with select bots delivering up to 123% annualized performance in backtesting (Tickeron). These pattern-recognition bots complement the fundamental screen used to build the stock and ETF lists above by flagging technical entry and exit points within the names already selected.

Layered on top, Tickeron's Financial Learning Models (FLMs) analyze longer-horizon trend structures across sectors, incorporating price momentum, earnings trajectory, and relative sector strength to project which trends are likely to persist versus mean-revert. FLMs have achieved returns as high as 102.27% annualized amid S&P 500 sector rotation by identifying which sector leadership shifts are durable versus short-lived (Tickeron). Retail traders can review Tickeron's live bot performance and trending signals directly on the Trending Robots page.

 

Disclaimer: This report is for informational and educational purposes only and does not constitute investment advice, a recommendation, or an offer to buy or sell any security. Stock and ETF prices, market capitalizations, year-to-date returns, and analyst price targets are sourced from real-time and historical market data as of August 26, 2026, and are subject to change. "Tickeron AI Target" figures for ETFs represent a technical gap-to-52-week-high calculation, not a broker or analyst price target, and past performance of Tickeron's AI Trading Bots, Pattern Trading Bots, or Financial Learning Models does not guarantee future results. AI-driven trading signals and forecasts carry inherent uncertainty; leveraged products like NVDL carry additional daily-compounding and decay risk unsuitable for buy-and-hold strategies. Always conduct independent research and consult a licensed financial advisor before making investment decisions.

 

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