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Top AI Stock Picks for April: Hardware and Energy

Top AI Stock Picks for April: Hardware and Energy

April 02, 2026

The AI Investing Pulse

April 2nd, 2026

In this Week’s Edition:

Analysis - Top AI Stock Picks for April: Hardware and Energy
Stock Ideas - Morgan Stanley's Five AI Security Stocks After RSA 2026
News - Nvidia's $2bn Marvell Stake Signals a Custom Silicon Shift
Startups - AI Dominates the Largest Seed Rounds Ever Recorded
Trends - Generative AI Market Projected to Reach $83bn in 2026
Other News - Public Launches AI Agents for Automated Portfolio Management

Top AI Stock Picks for April: Hardware and Energy

In April 2026, against a backdrop of a more fragile and volatile market, several AI infrastructure and AI‑power stocks are appearing across multiple independent high‑conviction analyst lists. Micron Technology is the only stock that shows up on all four of those lists, underscoring its role as a structural bridge between AI hardware and energy‑intensive compute demand.

This article covers both themes: the AI hardware supply chain and the nuclear‑energy infrastructure that powers it, let’s look at the AI stocks that are attracting the highest analyst conviction in Q2.

BNN Bloomberg's Ticker Take: NVIDIA (NVDA), Micron Technology (MU), Amphenol (APH), GE Vernova (GEV)
Zacks: Micron Technology (MU), Lam Research (LRCX)
TipRanks: Micron Technology (MU), Broadcom (AVGO), NEO Bioscience (NBIS)
JP Morgan: Arm Holdings (ARM), NVIDIA (NVDA), Micron Technology (MU)

Micron Technology (MU) is the only stock to appear on all four lists. NVIDIA appears on three. The remaining stocks appear on one or two.

What Are the Core 4 AI Infrastructure Stocks?

BNN Bloomberg's Ticker Take identified four stocks as core holdings for investors seeking direct AI infrastructure exposure.

NVIDIA Corporation $NVDA ( ▲ 0.77% ) designs the GPUs that power AI model training and inference. Despite being down roughly 5% year-to-date, it carries a Strong Buy consensus from 41 Wall Street analysts, with analyst conviction remaining broadly intact according to current ratings data.

Micron Technology $MU ( ▲ 8.88% ) manufactures DRAM and NAND flash memory, the components that AI data centres and accelerators depend on. Revenue in its most recent quarter reached $23.86 billion, up 196% year over year, with EPS up 682%. DRAM prices rose 65% in the February quarter, with further increases projected through late 2026.

Amphenol Corporation $APH ( ▲ 1.07% ) makes the connectors and cable assemblies that link AI data centre hardware. Q4 2025 revenue was $6.4 billion, up 49% year over year, with AI data centre interconnects growing 110%.

GE Vernova $GEV ( ▲ 2.51% ) supplies the power generation and grid equipment that AI data centres require to operate. Oppenheimer analyst Colin Rusch carries a price target of $855, noting hyperscalers now account for over one-third of recent orders.

Which Semiconductor Stocks Hold Strong Buy Ratings for Q2 2026?

Zacks, a quantitative investment research firm that assigns proprietary ratings to stocks based on earnings estimate revisions, flagged two names for Q2 2026.

Micron Technology $MU ( ▲ 8.88% ) holds a Zacks Rank #1, which is the firm's highest rating and indicates the strongest expected near-term outperformance. Of 30 analyst recommendations tracked, 25 are Strong Buy and two are Buy. Zacks' consensus estimate for MU's full-year fiscal 2026 revenues projects a 114.1% year-over-year increase, with EPS (earnings per share) growth of 336.4%.

Lam Research Corporation $LRCX ( ▲ 3.91% ) holds a Zacks Rank #2 (Buy). Lam Research manufactures semiconductor process equipment, specifically the etch and deposition tools that chipmakers use to build transistors and circuits on silicon wafers. The average analyst price target is approximately $270, with the high end at $325.

What Are TipRanks' Top Tech Stocks for April 2026?

TipRanks, a financial data platform that aggregates and scores analyst ratings, identified three tech stocks with Strong Buy consensus ratings and significant upside potential for April 2026.

Micron Technology $MU ( ▲ 8.88% ) 26 Buy ratings and two Hold ratings. The average price target of $533.40 implies approximately 57.9% upside from April 2026 levels. Analyst conviction is grounded in DRAM pricing strength and Micron's position as one of only three global suppliers of HBM.

Broadcom Inc. $AVGO ( ▲ 1.29% ) is a semiconductor and infrastructure software company that designs custom AI chips for hyperscalers including Alphabet (Google's parent company) and Meta. The stock carries 27 Buy ratings and two Hold ratings. Cantor Fitzgerald analyst CJ Muse carries a Street-high price target of $525, representing over 50% upside.

Nebius $NBIS ( ▼ 1.74% ) is a fast-growing AI cloud infrastructure company benefiting from rising demand for GPU-powered AI computing. Revenue and ARR are growing rapidly, and its recently announced $10 billion European expansion strengthens its long-term growth outlook.

Which AI Stocks Does JP Morgan Rate as Buy in April 2026?

JP Morgan analyst Harlan Sur, ranked in the top 33 of more than 12,000 analysts tracked by TipRanks with a 67% success rate and an average return of 31%, recently reaffirmed Buy ratings on three AI-exposed stocks.

Arm Holdings plc $ARM ( ▲ 2.51% ) is a UK-headquartered semiconductor IP (intellectual property) company that licenses chip architectures rather than manufacturing chips itself. Almost every major AI chip, including designs from Apple, NVIDIA, and Qualcomm, is built on Arm's architecture.

NVIDIA $NVDA ( ▲ 0.77% ) and Micron Technology $MU ( ▲ 8.88% ) are covered in detail in the sections above. The significance of Sur's Buy reaffirmation on both names, at this point in the market cycle, adds an additional layer of institutional confidence to the convergence thesis described below.

Which Nuclear Energy Stocks Are Analysts Flagging for the AI Power Theme?

Hyperscalers including Microsoft, Amazon, Alphabet, and Meta have signed long-term power purchase agreements (PPAs) with nuclear energy producers to secure carbon-free electricity for AI data centres. Zacks' updated nuclear energy stock list for 2026 highlights three names with direct exposure to this theme.

Constellation Energy Corporation $CEG ( ▲ 0.08% ) is the largest nuclear fleet operator in the US, with 55 gigawatts of capacity and long-term PPAs signed with Microsoft, Meta, and CyrusOne. With 15 Buy ratings and four Hold ratings, and a median analyst price target of $406.50.

BWX Technologies $BWXT ( ▲ 4.07% ) manufactures nuclear components, reactors, and fuel for both government and commercial clients. The average analyst price target is approximately $223, with Bank of America recently raising its target to $250. It has active partnerships with GE Vernova, TerraPower, and the US Department of Defense on nuclear programmes.

Oklo Inc. $OKLO ( ▼ 3.07% ) is a development-stage small modular reactor company backed by Sam Altman of OpenAI. It has no commercial reactors in operation yet and carries a substantially higher risk profile than Constellation or BWX Technologies. .

Final Take

The AI infrastructure story in Q2 2026 runs across two connected themes. The first is hardware: Micron, NVIDIA, Broadcom, Amphenol, GE Vernova, Lam Research, and Arm Holdings are drawing concentrated analyst conviction from four independent sources. Micron’s appearance on every list reflects the scale of demand for high‑bandwidth memory in AI systems. The second theme is power: Constellation Energy and BWX Technologies are the leading analyst‑rated names in nuclear energy, which hyperscalers are increasingly signing long‑term contracts to secure for their data centres. Whether this breadth of conviction represents justified confidence or a crowded trade across both themes is a question worth examining carefully.

Looking at our AIIP Methodology, it surfaces three standout names from the April picks: Micron, Lam Research, and Broadcom, all of which are currently on our watchlist.

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^{Not Investment Advice}^{: This content is provided by AI Investing Pulse for informational and educational purposes only. It does not constitute investment advice, a personal recommendation, or an invitation or inducement to engage in any investment activity.}^{Not Regulated}^{: AI Investing Pulse is not authorised or regulated by the Financial Conduct Authority (FCA) in the United Kingdom, is not registered with the Securities and Exchange Commission (SEC) or any state securities regulator in the United States, and is not registered with the Canadian Investment Regulatory Organization (CIRO) or any provincial securities commission in Canada.}^{Methodology Disclosure}^{: The AIIP Index scores and rankings mentioned in this article are generated by a proprietary quantitative methodology based on publicly available financial data. Our full methodology is explained in the "About AIIP" section below. These scores are objective system outputs, not recommendations or endorsements.}^{Risk Warning}^{: Investing in stocks involves risk, including the potential loss of principal. Past performance of stocks, scores, or rankings is not indicative of future results. Stock prices can decline as well as rise, and you may lose some or all of your invested capital.}^{Third-Party References}^{: References to analyst opinions, bank research, media publications, or the term "picks" refer to third-party selections, not AIIP recommendations. We aggregate this information for educational analysis only.}^{Seek Professional Advice}^{: Always consult a qualified, regulated financial professional who understands your personal circumstances before making any investment decisions. Consider your individual financial situation, risk tolerance, investment objectives, and time horizon.}

^{About AIIP -}^The^{AIIP Index}^{tracks 173 AI-focused public companies across the full AI stack, serving as our benchmark for sector performance. All scores are proprietary and calculated using data from}^{Finbox (powered by S&P Global Intelligence)}^.^{AIIP Total Score}^{(0–100) combines metrics for sales and EPS growth, financial quality, and valuation to assess overall business strength.}^{AIIP Relative Strength (RS) Score}^{measures a stock’s price performance relative to the AIIP 173 AI stocks.}^{Ranking Status}^{is based on score combinations:}^Fundamental^{: Total Score ≥ 70, RS < 80.}^Momentum^{: RS ≥ 80, Total Score < 70.}^Watchlist^{: Total Score ≥ 70 and RS ≥ 80}

TOP AI STOCKS PERFORMANCE

COMPANY	SECTOR	WEEKLY
Snap (SNAP)	Communication Services	22.2%
Seagate Tech (STX)	Technology	11.7%
Ncino (NCNO)	Technology	10.5%

TOP AI ETFs PERFORMANCE

ETFs	SECTOR	WEEKLY
Roundhill (CHAT)	Gen AI & Tech	4.7%
Global X (AIQ)	AI & Tech	2.0%
iShares (ARTY)	Future AI & Tech	1.9%

AI Stock Ideas

Morgan Stanley's Five AI Security Stocks After RSA 2026 – TradingView

Morgan Stanley named Microsoft, Palo Alto Networks, CrowdStrike, SailPoint and SentinelOne as top AI security picks following RSA Conference 2026, citing growing complexity in protecting identities against AI-driven threats.

Three Lower-Risk AI Stocks for Cautious Investors – Motley Fool

Amazon and Microsoft headline a list of AI-adjacent positions for investors seeking growth without full exposure to high-multiple pure plays. Both companies carry diversified revenue bases spanning cloud, software and consumer services, providing resilience if AI monetisation timelines extend beyond current expectations.

Why WCBR ETF Is Positioned for the Agentic AI Security Boom – AOL Finance

The agentic AI era is forecast to substantially expand attack surfaces, as AI agents access critical enterprise systems autonomously and at scale. WisdomTree's WCBR ETF holds concentrated positions in CrowdStrike, Palo Alto Networks and SentinelOne, the pure-play platforms best positioned to benefit from this structural shift in cybersecurity demand.

AI Stocks & ETFs News

Nvidia's $2bn Marvell Stake Signals a Custom Silicon Shift – 24/7 Wall St.

Nvidia has taken a roughly 2.5% stake in Marvell Technology for $2 billion, anchoring a partnership around NVLink Fusion, which integrates Marvell's custom silicon with Nvidia's high-speed interconnect architecture.

SanDisk Up 154% YTD as AI Memory Demand Outpaces Supply – Seeking Alpha

SanDisk's Q2 revenue rose 61% year on year. Hyperscale customers are no longer negotiating on price, with the company reporting that all global NAND capacity for the remainder of 2026 is effectively committed.

Meet Eve: The AI System Running a Three-Person Hedge Fund – The Star

Epicenter Capital, backed by Coatue Management's Laffont brothers, uses an AI system called Eve to monitor earnings calls, parse filings, conduct due diligence and surface stock picks autonomously.

Could European Equities Become the Anti-AI Trade of 2026? – Morningstar

The ten largest constituents of the Morningstar US Market Index now account for 36% of index weight, almost all tied to AI themes, a concentration that has pushed some global investors toward European equities as a diversification play.

AI Startups

AI Dominates the Largest Seed Rounds Ever Recorded – Crunchbase

Advanced Machine Intelligence, co-founded by Yann LeCun, raised $1.03 billion in a March 2026 seed round, the largest in European history. Globally, at least 12 companies have raised seed rounds of $100 million or more over the past six months.

DepthFirst Raises $80m Series B at $580m Valuation – Forbes

AI-native cybersecurity firm DepthFirst has closed an $80 million Series B, bringing total capital raised to $120 million and valuing the company at $580 million. The platform focuses on vulnerability management, using AI to identify and prioritise software security gaps at scale across enterprise environments.

AI Trends

Generative AI Market Projected to Reach $83bn in 2026 – OpenPR

The global generative AI market is forecast to reach $83.3 billion in 2026, expanding to $988 billion by 2035 at a 31.6% CAGR. Enterprise adoption, sustained hyperscaler infrastructure spending and advancing multimodal model capabilities are identified as the primary growth drivers across the forecast period.

Four AI Adoption Trends Reshaping Organisations in 2026 – Harvard Business Review

A CapTech analysis in HBR identifies AI as a baseline competitive expectation rather than a differentiator, with organisations struggling to keep absorption pace with deployment speed.

Others

Public Launches AI Agents for Automated Portfolio Management – PR Newswire

Public has begun rolling out AI Agents that allow investors to automate portfolio strategies in natural language, with the system executing trades and managing risk without manual input. Users retain full transparency into agent activity and can pause or modify any workflow at any time.

Agentic AI Reshapes the Race for Space Dominance – SpaceNews

China and the US are competing to deploy autonomous AI systems capable of decision-making at machine speed in orbit. General Chance Saltzman, Chief of Space Operations for the US Space Force, has identified agentic AI and autonomy as the defining capabilities of the next era of space warfighting.

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