5 Best AI Stocks to Buy Today
| Company (Ticker) | 12 Week Price Change | Forward PE | Price | Proj EPS Growth (1 Year) | Projected Sales Growth (1Y) |
|---|---|---|---|---|---|
| Micron Technology (MU) | 97.55% | 14.87 | $243.09 | 95.60% | 42.51% |
| Teradyne (TER) | 60.22% | 51.22 | $177.59 | 7.45% | 6.85% |
| Lam Research (LRCX) | 58.66% | 33.73 | $161.21 | 13.99% | 12.72% |
| Flex (FLEX) | 23.61% | 19.61 | $62.95 | 18.40% | 4.77% |
| Palantir Technologies (PLTR) | 21.05% | 263.03 | $181.68 | 77.07% | 54.09% |
*Updated on November 12, 2025.
Micron Technology (MU)
$243.09 USD +1.98 (0.82%)
3-Year Stock Price Performance
Premium Research for MU
- Zacks Rank
- Strong Buy 1
- Style Scores
C Value A Growth F Momentum B VGM
- Market Cap: $270.64B (Large Cap)
- Projected EPS Growth:95.66%
- Last Quarter EPS Growth:65.32%
- Last EPS Surprise:5.94%
- Next EPS Report date:Dec. 17, 2025
Our Take:
Micron develops DRAM, NAND, and high-bandwidth memory crucial for training and deploying AI models. It has begun mass production of HBM3E for NVIDIA’s H200 platform and is ramping up next-generation memory stacks, firmly establishing its role in the AI supply chain as model complexity and bandwidth demand accelerate.
A Zacks Rank #1 (Strong Buy) reflects solid estimate revisions, while Style Scores of C for Value, A for Growth, and F for Momentum suggest investors are rewarding Micron’s AI-led earnings trajectory despite a richer multiple. Fundamentals are improving as AI workloads require more bandwidth and lower power, areas where Micron’s HBM3E claims efficiency advantages.
The Price, Consensus & EPS Surprise chart shows a decisive uptrend with 2026–2027 EPS lines stair-stepping higher and the stock tracking those revisions. Frequent positive surprises and improving long-term consensus reinforce that fundamental momentum remains estimate-driven, not purely sentiment-led.
Teradyne (TER)
$177.59 USD +0.36 (0.20%)
3-Year Stock Price Performance
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- Zacks Rank
Buy 2
- Style Scores
D Value D Growth D Momentum F VGM
- Market Cap:$27.76B (Large Cap)
- Projected EPS Growth: 7.45%
- Last Quarter EPS Growth:49.12%
- Last EPS Surprise: 8.97%
- Next EPS Report date:Feb 4, 2026
Our Take:
Teradyne supplies automated test equipment that validates advanced AI chips and high-speed memory, making it a critical picks-and-shovels beneficiary of AI compute growth. It also owns Universal Robots and MiR in collaborative and mobile robotics. Management has highlighted robust demand for complex AI systems as a key driver of semiconductor testing.
The Zacks Rank #2 (Buy) reflects rising estimates, while Style Scores of F for Value, Growth, and Momentum reflect mixed valuation, growth, and momentum factors after a sharp run. As AI accelerators proliferate and device complexity climbs, test intensity and instrumentation content per chip should increase, supporting revenue visibility through the next capacity wave.
On the chart, price has broken to new highs with 2026–2027 EPS consensus inflecting upward, suggesting analysts are baking in a multi-quarter recovery in chip test. Estimate trajectories outpacing price at times hint at further catch-up potential. For investors seeking leveraged exposure to the AI semiconductor build-out, Teradyne offers a pragmatic, test-centric way to play it.
Lam Research (LRCX)
$161.21 USD +2.03 (1.28%)
3-Year Stock Price Performance
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- Zacks Rank
Buy 2
- Style Scores
D Value A Growth D Momentum B VGM
- Market Cap:$199.93B (Large Cap)
- Projected EPS Growth:14.01%
- Last Quarter EPS Growth:-5.26%
- Last EPS Surprise:4.13%
- Next EPS Report date:Feb. 4, 2026
Our Take:
Lam Research provides wafer-fabrication tools used to build logic and memory, especially deposition and etch systems crucial for high-bandwidth memory and advanced AI processors. Management and industry commentary point to rising tool demand as customers scale HBM and complex AI silicon over the next several years.
With a Zacks Rank #2, plus a Growth score of A offset by a weaker score of D for both Value and Momentum, Lam’s setup reflects a strong earnings trajectory with increasing AI-related demand for wafer fabrication equipment (WFE). Exposure to memory, where HBM capacity is expanding, adds structural support beyond the usual cyclical bounce.
Its chart shows the stock breaking higher as 2026–2027 EPS lines trend up, indicating revisions are pulling the price rather than the reverse. That alignment of rising long-term estimates and share performance, alongside improving surprises, suggests AI orders are translating into firmer multi-year visibility.
Flex (FLEX)
$62.95 USD +1.43 (2.32%)
3-Year Stock Price Performance
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- Zacks Rank
Buy 2
- Style Scores
A Value B Growth A Momentum A VGM
- Market Cap:$22.75B (Large Cap)
- Projected EPS Growth:18.49%
- Last Quarter EPS Growth:9.38%
- Last EPS Surprise:5.33%
- Next EPS Report date:Feb. 4, 2026
Our Take:
Flex is a global contract manufacturer whose cloud and data center solutions include integrated server racks, liquid cooling, and power systems tailored for AI infrastructure, an expanding part of its enterprise portfolio. The company launched a modular AI data-center platform and expanded U.S. capacity, including a new Dallas facility for grid-to-chip power products, to meet surging demand.
A Zacks Rank #2 and Style Scores of A for Value and Momentum and B for Growth speak to balanced fundamentals with improving growth quality and price action. Flex’s collaboration with NVIDIA on modular “AI factories” further validates its role in accelerating hyperscale deployments.
On the chart, the stock’s pronounced uptrend mirrors steadily rising 2025–2027 EPS consensus, signaling firm estimate momentum. The alignment of price with higher outer-year forecasts supports the positive Rank. With vertical integration and a growing North American footprint, Flex offers a practical, less-crowded way to participate in the AI datacenter build-out.
Palantir Technologies (PLTR)
$181.68 USD -9.28 (-4.86%)
3-Year Stock Price Performance
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- Zacks Rank
Buy 2
- Style Scores
F Value A Growth A Momentum B VGM
- Market Cap: $453.02B (Large Cap)
- Projected EPS Growth:78.05%
- Last Quarter EPS Growth:38.46%
- Last EPS Surprise:23.53%
- Next EPS Report date:Feb. 2, 2026
Our Take:
Palantir builds data analytics platforms for governments and enterprises. Its Artificial Intelligence Platform (AIP) has become the commercial growth engine, driving stronger guidance and sustained profitability. Recent results have emphasized the accelerating demand for AI use cases across U.S. commercial and government customers.
The Zacks Rank #2 paired with Style Scores of A for both Growth and Momentum but F for Value reflects rapid estimate revisions and strong price action, tempered by valuation. Management’s outlook, supported by rising U.S. commercial and government spend, illustrates a durable runway as AI moves from pilots to production.
In the chart, PLTR shares have surged while 2026–2027 EPS consensus trends higher, confirming estimate follow-through. That setup, plus recurring wins and scaled deployments of AIP, underpins the Rank. Execution and valuation discipline remain key watch items, but Palantir’s positioning at the software layer of AI keeps the thesis intact.
Methodology
The Zacks Rank is a proprietary stock-rating model that uses trends in earnings estimate revisions and earnings-per-share (EPS) surprises to classify stocks into five groups: #1 (Strong Buy), #2 (Buy), #3 (Hold), #4 (Sell) and #5 (Strong Sell). The Zacks Rank is calculated through four primary factors related to earnings estimates: analysts' consensus on earnings estimate revisions, the magnitude of revision change, the upside potential and estimate surprise (or the degree in which earnings per share deviated from the previous quarter).
Zacks builds the data from 3,000 analysts at over 150 different brokerage firms. The average yearly gain for Zacks Rank #1 (Strong Buy) stocks is +23.62% per year from January, 1988, through June 2, 2025.
Selections for Best AI Stocks are based on the current top ranking stocks based on Zacks Indicator Score. For this list, only companies that have average daily trading volumes of 100,000 shares or more and at least five analysts covering the stock were considered. All information is current as of market open, Nov. 11, 2025.
Guide to AI Stocks
The classification of “AI Stocks” is actually quite broad, ranging from companies that provide the essential hardware, companies that create the software to run Large Language Models, and a whole host of other industries and companies that are creating the Artificial Intelligence ecosystem. All stand to gain – or lose – depending on the fortunes of AI tech.
Types of AI Stocks
Hardware (GPUs, Chips) Stocks – NVIDIA, AMD, TSMC, Broadcom
The backbone of AI is raw computing power, and this comes primarily from specialized chips like graphics processing units (GPUs) and AI-focused accelerators. NVIDIA (NVDA) is the undisputed leader in GPUs used for training large language models.
Advanced Micro Devices (AMD) is a rising competitor, with its MI300 series targeting data center AI workloads. Taiwan Semiconductor Manufacturing Co. (TSMC) doesn’t make its own chips but manufactures advanced nodes for nearly every big tech firm—including Apple, Nvidia, and AMD—making it critical to the global AI supply chain. Broadcom (AVGO) has carved a niche in custom ASICs (application-specific integrated circuits) for hyperscale cloud providers, which value tailored chips that reduce energy use and maximize throughput.
These companies benefit from structural demand for more computing capacity, but they also face geopolitical risks such as U.S.-China export restrictions and cyclical swings in semiconductor demand.
AI Cloud & Infrastructure – Microsoft, Amazon, Alphabet
Building AI applications at scale requires massive computing infrastructure. Azure from Microsoft (MSFT) has become a leader by integrating OpenAI’s models directly into its cloud offerings, giving it a first-mover advantage in AI enterprise adoption. Amazon Web Services, a subsidiary of Amazon (AMZN) is deploying its in-house Trainium and Inferentia chips, aiming to lower costs for AI workloads while retaining dominance in cloud services. Alphabet’s (GOOG) Google Cloud is leaning heavily on its proprietary Tensor Processing Units (TPUs) and Gemini AI models to differentiate itself.
Investing in these players is less about speculative growth and more about diversified tech giants whose AI investments bolster an already profitable core business.
Enterprise AI Software & Analytics – Palantir, C3.ai, Adobe, Snowflake
AI isn’t just about hardware; software platforms are where businesses actually apply machine intelligence. Palantir (PLTR) powers decision-making for defense and large corporations with its Foundry and Gotham platforms. C3.ai (AI) focuses specifically on AI-driven applications across industries like energy, finance, and manufacturing. Adobe (ADBE) has integrated AI across its creative suite (e.g., Firefly in Photoshop), while Snowflake (SNOW) has added AI-enabled analytics to its cloud data warehousing business.
These stocks tend to have higher growth potential but also higher risk, as adoption timelines and customer budgets can vary widely.
Cybersecurity AI – CrowdStrike
The rise of AI also heightens cyber risks. CrowdStrike (CRWD) leads in AI-powered threat detection, using machine learning to flag suspicious behavior across millions of endpoints in real time. With ransomware and nation-state attacks increasing, demand for AI-driven security remains strong. Cybersecurity names often benefit from recurring revenue models, which may help smooth out volatility compared to hardware peers.
Benefits and Risks of AI Stocks
Benefits:
- Secular Growth: AI adoption is still in early innings, with enterprise use cases expanding rapidly.
- Diversified Exposure: Investors can target infrastructure, software, or services depending on risk tolerance.
- First-Mover Advantage: Leaders like NVIDIA and Microsoft are shaping the ecosystem, creating strong economic moats.
Risks:
- Valuations: Many AI leaders are priced for perfection, leaving little margin of safety.
- Hype Cycle: Investor enthusiasm may outrun near-term fundamentals, creating bubble risk.
- Regulation: Governments are exploring AI rules around privacy, bias, and national security, which could reshape business models.
- Competition: Barriers to entry are high, but fast innovation means today’s leader can quickly lose ground.
How to Choose AI Stocks
When evaluating AI stocks, consider:
- Revenue Mix: How much of the company’s growth is truly driven by AI vs. traditional segments?
- Moat & Differentiation: Does the company control unique technology (like NVIDIA’s CUDA software ecosystem)?
- Customer Adoption: Look for companies with recurring contracts or wide adoption across industries.
- Financial Health: Strong balance sheets matter in a capital-intensive industry.
- Valuation Metrics: Compare price-to-earnings (P/E) ratio, price-to-sales (P/S) ratio, and forward growth projections to industry peers.
How to Invest in AI Stocks
There are multiple entry points depending on your goals:
- Direct Stock Picks: Best if you want concentrated exposure to specific company leaders or disruptors.
- AI Exchange-Traded Funds (ETFs): ETFs such as Global X Robotics & Artificial Intelligence ETF (BOTZ) or iShares Robotics and AI ETF (IRBO) provide diversification by investing in a broad range of companies in the AI space.
- Broad Tech ETFs: Like Invesco QQQ (QQQ) or Vanguard Information Technology ETF (VGT), offering AI exposure as part of a bigger tech basket.
- Dollar-Cost Averaging (DCA): A strategy to smooth price volatility by buying at regular intervals AI stocks or funds.
- Long-Term Holds: Since AI is a multi-decade trend, investors who can weather short-term swings may see the best results.
AI Stocks Alternatives
If you want exposure to AI without betting on a single stock:
- ETFs: Offer diversification and reduce single-company risk.
- Private Markets: Startups in robotics, generative AI, and enterprise AI could offer upside, though access is limited to accredited investors, which face income or licensing limitations (such as a net worth of $1 million, excluding primary residence, plus a high annual income – $300,000 if married.
- Picks-and-Shovels Plays: Companies supplying infrastructure, like power management (e.g., Eaton) or data center REITs (e.g., Equinix), benefit indirectly from AI growth.
Strategies for AI Stocks Moving Forward
- Barbell Approach: Combine stable mega-caps (Microsoft, Nvidia) with speculative names (Quantum Computing Inc., Credo) for balanced exposure.
- Rebalancing: Trim positions after strong rallies to lock in gains and redeploy into underweighted sectors.
- Monitor Earnings: Focus on whether AI adoption translates into sustainable revenue growth.
- Look Beyond the U.S.: Consider emerging AI leaders in Europe and Asia for diversification.
- Stay Agile: AI is evolving rapidly; reassess holdings every quarter as new winners emerge.
Frequently Asked Questions About AI Stocks
Are AI stocks overvalued?
Many AI leaders are priced at steep multiples compared to the broader market. That doesn’t mean all are bubbles, but investors should separate hype from earnings-driven growth.
What is the forecast for AI stocks?
Most analysts expect AI demand to expand through at least the next decade, with data center spending, AI-as-a-service, and AI-enabled enterprise tools driving revenue.
What metrics best signal AI efficacy?
- Growth in AI-specific revenue lines.
- Gross margin improvements tied to AI.
- Customer retention and expansion.
- Evidence of scale: Contracts, partnerships, recurring revenue.
