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) | 34.48% | 10.09 | $182.15 | 100.01% | 43.43% |
Analog Devices (ADI) | 0.22% | 31.69 | $239.28 | 21.50% | 15.85% |
Upstart (UPST) | -33.22% | 30.60 | $52.13 | 930.00% | 52.58% |
Palantir Technologies (PLTR) | 30.57% | 282.23 | $184.95 | 57.65% | 44.38% |
ServiceNow (NOW) | -10.04% | 54.74 | $912.43 | 20.77% | 19.64% |
*Updated on October 1, 2025.
Stock #1
Micron Technology (MU)
$182.15 USD +14.83 (8.86%)
3-Year Stock Price Performance

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- Zacks Rank
- Strong Buy 1
- Style Scores
B Value A Growth A Momentum A VGM
- Market Cap: $183.42B (Large Cap)
- Projected EPS Growth:100.00%
- Last Quarter EPS Growth:65.32%
- Last EPS Surprise:5.94%
- Next EPS Report date:Dec. 17, 2025
Our Take:
Micron’s latest quarterly performance underscores its strategic positioning in the rapidly expanding AI-driven memory and storage markets. The positive impact of inventory improvement across multiple end markets is adding to the top-line growth. The surging demand for HBM and robust DRAM pricing recovery will aid significant revenue and earnings growth in the coming quarters.
Micron’s solid financials, positive free cash flow and strong balance sheet provide the flexibility to invest in growth initiatives while enhancing shareholder value. Its long-term customer agreements and expanding AI partnerships reduce volatility and enhance revenue visibility. Nonetheless, weakness in NAND pricing due to oversupply conditions and slower-than-expected demand recovery might hurt overall financial performance. An escalating trade war is another concern.
Stock #2
Analog Devices (ADI)
$239.28 USD -6.42 (-2.61%)
3-Year Stock Price Performance

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- Zacks Rank
Buy 2
- Style Scores
D Value D Growth C Momentum D VGM
- Market Cap:$120.43B (Large Cap)
- Projected EPS Growth:21.47%
- Last Quarter EPS Growth: 10.81%
- Last EPS Surprise:6.22%
- Next EPS Report date:Nov. 25, 2025
Our Take:
Analog Devices’ Q3 results demonstrate broad-based recovery, margin resilience and strong free cash flow generation. Secular growth drivers in automation, AI infrastructure, and automotive electrification provide multi-year tailwinds. Strong momentum across the electric vehicle space on the back of its robust Battery Management System solutions remains a tailwind. Strong investments in technology and business innovation are contributing well.
Strategic partnerships and internal fab investments position Analog Devices for sustainable growth. The company’s strong cash flow generation capability and aggressive shareholder return policies are other positives. However, rising exposure to geopolitical uncertainties and tariffs could curtail production and disrupt customer demand, while increasing operating expenses may weigh on profitability.
Stock #3
Upstart (UPST)
$52.13 USD +1.33 (2.62%)
3-Year Stock Price Performance

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- Zacks Rank
- Buy 2
- Style Scores
F Value D Growth A Momentum F VGM
- Market Cap:$5.07B (Mid Cap)
- Projected EPS Growth: 930.00%
- Last Quarter EPS Growth:266.67%
- Last EPS Surprise:33.33%
- Next EPS Report date:Nov. 6, 2025
Our Take:
Upstart is an AI lending platform that partners with banks and credit unions to provide consumer loans using non-traditional variables, such as education and employment, to predict creditworthiness. The platform provides instant online applications, offers loans ranging from $1,000 to $75,000, and aims to increase approval rates and lower loss rates for its lending partners through its advanced AI models.
Upstart reported revenues of $257.29 million in the last reported quarter, representing a year-over-year change of +101.6% The consensus sales estimate for the current quarters is $281.02 million, a year-over-year change of +73.3%. The $963.44 million and $1.29 billion estimates for the current and next fiscal years indicate changes of +51.4% and +34.3%, respectively.
Stock #4
Palantir Technologies (PLTR)
$184.95 USD +2.53 (1.39%)
3-Year Stock Price Performance

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- Zacks Rank
- Buy 2
- Style Scores
F Value A Growth F Momentum D VGM
- Market Cap: $424.32B (Large Cap)
- Projected EPS Growth: 58.54%
- Last Quarter EPS Growth:225.00%
- Last EPS Surprise:14.29%
- Next EPS Report date: Nov. 3, 2025
Our Take:
Palantir's AI strategy, driven by Foundry, Gotham, and AIP platforms, targets government and commercial sectors, enabling real-time insights and operational efficiency. Notable defense projects, like Open DAGIR and AIP boot camps for commercial clients, boost customer acquisition. With $5.4 billion in cash, no debt, and S&P 500 inclusion, Palantir enjoys strong liquidity, growing revenues, and increased investor visibility.
Meanwhile, PLTR's reluctance to pay dividends is a green flag for dividend-seeking investors. Intense competition from tech giants and rising costs amidst a rapidly evolving AI landscape and an elevated valuation challenge its appeal. Palantir shares have gained more than 370% in a year, and we have a Neutral rating on it in anticipation of a correction.
Stock #5
ServiceNow (NOW)
$912.43 USD -7.85 (-0.85%)
3-Year Stock Price Performance

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- Zacks Rank
Buy 2
- Style Scores
F Value B Growth F Momentum D VGM
- Market Cap:$195.70B (Large Cap)
- Projected EPS Growth:20.76%
- Last Quarter EPS Growth:-4.76%
- Last EPS Surprise: 15.54%
- Next EPS Report date:Oct. 22, 2025
Our Take:
ServiceNow shares have outperformed the industry year to date. It has been benefiting from the rising adoption of workflows by enterprises undergoing digital transformation. In the second quarter of 2025, it had 11 deals greater than $5 million in net new annual contract value (ACV) and closed 89 deals greater than $1 million in net new ACV. Gen AI deals continue to gain traction. NOW is extensively leveraging AI and machine learning technologies to boost the potency of its solutions.
ServiceNow is riding on an expanding partner base and acquisitions. For 2025, ServiceNow raised subscription revenues guidance by $125 million at the mid-point to $12.775-$12.795 billion, suggesting 19.5-20% on a non- GAAP constant currency basis. ServiceNow remains on track to surpass $15 billion in subscription revenues in 2026.
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, Sept. 30, 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.