Insights Crypto How to pick best AI infrastructure stocks 2026
post

Crypto

19 Jan 2026

Read 12 min

How to pick best AI infrastructure stocks 2026 *

best AI infrastructure stocks 2026 could deliver strong five-year returns if you buy and hold wisely.

Looking for the best AI infrastructure stocks 2026? Focus on chip makers with clear product road maps and data center operators with real power and land. AMD’s GPU push and CleanSpark’s megawatt pipeline both fit. Use a simple checklist, watch execution, and buy with a five-year view. Artificial intelligence is pushing two scarce resources to the limit: compute and power. The companies that supply GPUs and system racks, and the players that control megawatts and data center space, stand to win big. In this guide, I break down an easy way to evaluate leaders and explain why AMD and CleanSpark could be standout picks for long-term gains. If you want a short list of the best AI infrastructure stocks 2026 to watch, these two belong near the top.

How to pick the best AI infrastructure stocks 2026

A simple checklist

  • Clear demand signals: backlog, customer names, and deployment timelines
  • Visible product or capacity road map for the next 24–36 months
  • Control of critical bottlenecks: high-bandwidth memory, advanced packaging, transformers, and interconnects
  • Healthy balance sheet and positive cash generation to fund growth
  • Execution track record and realistic construction or launch schedules
  • Valuation vs. growth: earnings growth outpacing the price-to-earnings multiple
  • Two companies stand out right now. Advanced Micro Devices is expanding its GPU lineup and full-rack systems to serve AI training and inference. CleanSpark controls hundreds of megawatts and plans to convert part of its Bitcoin-focused footprint into AI-ready capacity. Both fit common patterns shared by the best AI infrastructure stocks 2026.

    Advanced Micro Devices: GPUs, systems, and momentum

    What is driving growth

    AMD is gaining speed in data centers. Demand for its Instinct GPUs is rising, and management reported strong year-over-year growth in its data center segment in recent quarters. The company is moving beyond single chips to full systems. Its Helios rack, expected to scale in 2026, is designed to close the gap with rival turnkey AI systems. It combines MI455 GPUs with EPYC CPUs and high memory bandwidth to speed inference workloads. AMD’s product cadence looks busy through 2027. The MI350 line fueled much of 2025 demand. Major names, including OpenAI and Oracle, plan to deploy the upcoming MI450 GPUs in 2026. AMD has also signaled a next wave, the MI500 family, targeted for 2027, with a major leap in AI performance on its road map. This steady flow gives customers confidence and helps AMD win bigger deals.

    Numbers and valuation

    Analysts expect AMD’s earnings to grow fast over the next few years, with estimates calling for annualized growth that lines up with management’s long-term revenue target in the mid-30% range. The reason is simple: data center mix is rising, and margins are higher in AI compute. Despite the run-up in the stock, shares trade around the low-30s multiple on this year’s earnings estimate. If earnings compound anywhere near forecasts, that multiple can compress while the stock still climbs.

    What to watch next

  • Hyperscaler traction: Watch for wins beyond early lighthouse customers
  • Software ecosystem: ROCm maturity and broad framework support
  • Supply chain: High-bandwidth memory and advanced packaging availability
  • Systems integration: Helios rack performance, density, and delivery timelines
  • Key risks

    AMD still competes with a dominant leader in GPUs. AI cycles move fast, and product timing matters. If AMD misses a node or runs short on memory supply, growth could slow. Also, if the software stack lags, hardware wins could be harder. Monitor execution quarter by quarter.

    CleanSpark: Turning megawatts into AI revenue

    Why power is king

    AI chips keep getting stronger and more power-hungry. Data centers already face a power shortage, and the gap is growing. That makes megawatts the new gold. We saw proof last year when CoreWeave signed a 15-year, $11 billion agreement for 400 megawatts of capacity, and when Hut 8 inked a 15-year, $7 billion deal for an initial 245 megawatts with a leading AI lab. Long-term contracts like these show what high-quality, energized megawatts can command.

    Assets and pipeline

    CleanSpark is a profitable Bitcoin miner that holds a large portfolio of power, land, and data center assets—more than 1.3 gigawatts in total. Management plans to adapt part of this footprint to AI. It has secured a 285-megawatt site in Texas for an AI data center. It also controls a 250-megawatt location in Sandersville, Georgia, plus more than 100 megawatts across the Atlanta area. Those sites are in markets with fast-growing AI demand. The mining business provides financial support. CleanSpark holds over 13,000 Bitcoin generated from operations and posted positive earnings in fiscal 2025. With shares priced near the low-teens multiple on earnings, investors are paying a fair price for the mining side while getting AI upside at a low premium.

    Execution checks

  • Interconnection queues, transformer lead times, and substation readiness
  • Permits, power purchase agreements, and construction schedules
  • Anchor tenants: pre-lease or offtake agreements with hyperscalers or AI clouds
  • Design efficiency: power usage effectiveness (PUE) and liquid cooling capabilities
  • If CleanSpark converts announcements into signed, long-duration contracts, the revenue visibility could reset higher. The market is rewarding dependable capacity with locked-in pricing and indexation. Hitting milestones on time will be key.

    Key risks

    CleanSpark must execute heavy builds while still running a mining business. Construction delays or grid constraints can push out revenue. Bitcoin price swings can affect cash flow and capital plans. Competition from larger data center operators is rising. Focus on schedules and customer wins to manage these risks.

    Valuation, timing, and position sizing

    When growth is fast, it is easy to overpay. A simple rule helps: aim to buy growing earnings at or below a matching multiple. AMD offers strong earnings growth potential with a multiple that could compress as profits scale. CleanSpark trades at a modest multiple and brings valuable power assets to the AI market. Neither is risk-free, but both have catalysts over the next 12–24 months. Consider a staged approach:
  • Start with a starter position
  • Add on confirmed catalysts (new design wins, signed power offtakes, energization milestones)
  • Trim if the thesis breaks (product slippage, missed grid timelines, or customer pullbacks)
  • Dollar-cost average over quarters, not days. Keep cash ready for dips. Set clear checkpoints: for AMD, track MI450 deployments and Helios deliveries; for CleanSpark, watch pre-lease announcements, substation progress, and energization dates.

    Are these the best AI infrastructure stocks 2026?

    AMD and CleanSpark check key boxes for the best AI infrastructure stocks 2026. AMD supplies the compute engines and is building full-stack systems with a forward road map. CleanSpark controls hard-to-find megawatts and is moving to capture premium AI demand. The pairing gives you exposure to both sides of the bottleneck: chips and power. This does not mean you should ignore diversification. Add exposure to memory suppliers, networking, or established data center REITs if you want a broader basket. But if you want two focused ideas with clear catalysts, AMD and CleanSpark offer a balanced way to play the surge in AI training and inference. Investing always comes with risk. Do your own research and match your time frame to the build cycle. AI infrastructure is a multi-year theme. The winners will scale capacity, secure customers, and protect margins. The losers will miss timelines or run short on capital. Strong execution, visible road maps, and smart capital plans will separate leaders from the pack. With that lens, AMD and CleanSpark look like worthy candidates for the best AI infrastructure stocks 2026—and for a long-term, buy-and-hold strategy.

    (Source: https://www.fool.com/investing/2026/01/17/2-monster-stocks-in-making-to-buy-hold/)

    For more news: Click Here

    FAQ

    Q: What criteria should I use to choose the best AI infrastructure stocks 2026? A: When evaluating the best AI infrastructure stocks 2026, use a checklist including clear demand signals (backlogs and named customers), a visible 24–36 month product or capacity roadmap, control of critical bottlenecks like high‑bandwidth memory and interconnects, a healthy balance sheet, and an execution track record with realistic schedules. Also weigh valuation versus expected earnings growth and take a five‑year investment view. Q: Why does the article highlight Advanced Micro Devices (AMD) as a contender for AI infrastructure? A: The article highlights AMD because its Instinct GPUs and Helios rack system target AI compute demand, with the MI350 line fueling much of 2025 growth and MI450 deployments planned for 2026. Analysts expect strong earnings growth and the stock trades around the low‑30s multiple on this year’s estimate, which could look attractive if revenue and margins scale as forecast. Q: What assets and pipeline make CleanSpark relevant to AI data center capacity? A: CleanSpark controls more than 1.3 gigawatts of power, land, and data center assets and plans to convert part of that footprint into AI‑ready capacity, including a secured 285‑megawatt Texas site, a 250‑megawatt Sandersville site, and over 100 megawatts around Atlanta. Its profitable Bitcoin‑mining business, holding more than 13,000 Bitcoins and reporting $1.25 earnings per share in fiscal 2025, provides cash flow to help fund those builds. Q: What execution and operational risks should investors monitor for AMD and CleanSpark? A: For AMD, key risks include tight competition with Nvidia, product‑timing misses, shortages in high‑bandwidth memory or advanced packaging, and lagging software ecosystem support, any of which could slow growth. For CleanSpark, execution risks center on construction timelines, interconnection queues and substation readiness, permitting and transformer lead times, and Bitcoin‑price swings that can affect cash flow and capital plans. Q: How should investors time purchases and manage position sizes in AI infrastructure stocks according to the article? A: The article recommends a staged approach: start with a starter position, add on confirmed catalysts such as new design wins, signed power offtakes, or energization milestones, and trim if the investment thesis breaks. It also recommends dollar‑cost averaging over quarters rather than days and setting clear checkpoints — for AMD watch MI450 deployments and Helios deliveries, and for CleanSpark monitor pre‑lease announcements, substation progress, and energization dates. Q: Why is power becoming a critical bottleneck for AI data centers? A: AI chips are becoming more powerful and power‑hungry, stretching existing data‑center power supplies and creating a widening shortfall in available megawatts. Long‑term deals such as CoreWeave’s 15‑year, $11 billion agreement for 400 megawatts and Hut 8’s 15‑year, $7 billion agreement for 245 megawatts illustrate the premium firms place on high‑quality energized capacity. Q: What product and delivery milestones should I track to gauge AMD’s progress in AI infrastructure? A: Key milestones include MI450 deployments in 2026, the MI500 roadmap toward 2027, Helios rack performance and delivery timelines, and ROCm/software ecosystem maturity. You should also monitor supply‑chain availability for high‑bandwidth memory and advanced packaging and hyperscaler traction beyond early lighthouse customers. Q: Should investors limit their search to only AMD and CleanSpark among the best AI infrastructure stocks 2026? A: No — the article advises diversification and suggests adding exposure to memory suppliers, networking firms, or established data‑center REITs for a broader basket. AMD and CleanSpark are given as two focused ideas that capture compute and power bottlenecks, but they are not the only candidates among the best AI infrastructure stocks 2026.

    * The information provided on this website is based solely on my personal experience, research and technical knowledge. This content should not be construed as investment advice or a recommendation. Any investment decision must be made on the basis of your own independent judgement.

    Contents