After AI: Where Big Money Is Investing Next in 2026
Sovereign wealth funds, private equity, and the world’s largest VCs are rotating into six themes that most retail investors haven’t heard of yet. Here’s where the money is actually going — with the receipts to prove it.
Quick Answer: Big money hasn’t left AI — it is rotating within it toward the physical infrastructure AI runs on, and expanding into six adjacent themes: AI infrastructure and power, defense tech, robotics, nuclear energy, biotech, and emerging market AI. Each one has billions of dollars in confirmed deals behind it right now. This post breaks down the evidence and what it means for average investors.
The Pattern Behind Every Big Money Move Right Now THE BIG PICTURE
Sovereign wealth funds from Saudi Arabia, Abu Dhabi, Singapore, and Qatar. Private equity titans like BlackRock and KKR. Venture capital firms like Andreessen Horowitz, Kleiner Perkins, and Sequoia. They are all deploying capital right now — and the pattern is consistent across all of them.
It is not about finding the next ChatGPT. It is about owning the infrastructure, the energy, the hardware, and the biology that the AI era demands. One analyst put it plainly: investors now treat frontier AI infrastructure as a sovereign wealth-class asset, not traditional venture capital. The playbook has shifted from betting on AI software to betting on everything AI needs to run.
Here are the six themes where that money is going — with the actual dollar amounts to back it up.
AI Infrastructure & Power — The Picks-and-Shovels Supercycle
The thesis: Big money isn’t rotating out of AI. It is rotating within AI — away from software and LLM companies whose valuations have run ahead of earnings, and toward the physical infrastructure those models need to exist: data centers, custom chips, power generation, and cooling systems.
The evidence:
- Hyperscalers are planning to spend nearly $690–700 billion on data center projects in 2026 alone, according to TechCrunch and Futurum Research. The Stargate joint venture between OpenAI, SoftBank, Oracle, and MGX targets $500 billion in AI infrastructure by 2029.
- Morgan Stanley estimates AI-linked debt issuance will approach $570 billion in 2026 as hyperscalers borrow to build faster than their cash flows allow.
- The IEA confirmed that big tech capital expenditure exceeded $400 billion in 2025 and is expected to jump another 75% in 2026. Global data center electricity consumption surged 50% in 2025 alone.
- America’s investor-owned utilities have unveiled a $1.4 trillion capital spending plan through 2030 driven by AI data center power demand — a 27% increase from last year’s projection and double the investment of the prior decade.
- Microsoft disclosed an $80 billion unfulfilled Azure backlog due not to lack of demand but to power availability. The bottleneck has shifted from funding to electricity.
- S&P Global projects average spending on U.S. data center construction of more than $70 billion per quarter from 2025 to 2028.
What this means for average investors: The pure AI software play is crowded and expensive. The infrastructure and power play is where big money is going because the demand is locked in — every data center that gets built needs electricity, cooling, chips, and real estate. Publicly traded companies in utilities (Constellation Energy, Vistra), semiconductors (Nvidia, Broadcom, Marvell), and data center REITs (Equinix, Digital Realty) are the accessible versions of what private capital is funding at scale.
⚠ Warning: This is the most crowded trade of 2026. Nvidia trades at a premium that prices in years of perfect execution. The infrastructure theme is real — but overpaying for it is just as dangerous as overpaying for software. Look for infrastructure-adjacent names where the AI tailwind is real but the valuation hasn’t fully caught up.
Defense Tech — The Fastest-Growing Sector Nobody Is Talking About
The thesis: Geopolitics has permanently changed the calculus on defense investing. The line between commercial AI and military AI is blurring fast. Investors who once avoided defense for ESG or reputational reasons are coming back in — and they are deploying at record scale.
The evidence:
- Defense tech startups in 2026 have already eclipsed the full-year funding record set in 2025 of $9.6 billion, with just 107 venture rounds through May, per Crunchbase data.
- Anduril Industries raised a $5 billion Series H on May 13, 2026, led by Thrive Capital and Andreessen Horowitz, doubling its valuation to $61 billion — the most valuable venture-backed defense startup in the world. Anduril’s revenue more than doubled to $2.2 billion in 2025. In March 2026, it also received a $20 billion Army IDIQ contract, one of the largest ever issued to a non-traditional defense contractor. Shield AI secured $1.5 billion in a Series G at a $12.7 billion valuation, up 140% in a year.
- Mach Industries raised $300 million in Series C at a $1.8 billion valuation. Space-related defense startups True Anomaly, Sierra Space, and Vast are among the largest defense-tech funding recipients of 2026.
- The U.S. defense spending plan for FY2026 carries a record potential authorization of more than $900 billion, focused on nuclear modernization, hypersonic munitions, AI, space, and autonomous systems including drones.
- BlackRock explicitly identifies defense as a driver: “Banks and defense drove developed ex-U.S. stocks higher” through 2025, and the European defense buildout is accelerating as NATO members increase spending targets.
What this means for average investors: Most retail investors do not have access to Anduril or Shield AI at private market prices. But publicly traded defense names — RTX (Raytheon), LHX (L3Harris), PLTR (Palantir), and thematic ETFs like ITA (iShares U.S. Aerospace & Defense ETF) — give you exposure to the same government spending tailwind that is driving VC record rounds.
⚠ Warning: Defense spending is politically driven. A shift in administration priorities or a ceasefire in active conflict zones can rapidly reprice defense equities. The tailwind is real — but it is not immune to political risk.
Robotics — Big Money’s “Don’t Miss It Again” Trade
The thesis: The investors who missed the LLM wave are not making the same mistake with physical AI. Humanoid robots and autonomous systems are where the compute revolution meets the physical world — and the capital is arriving before the products do, which is exactly how the biggest venture returns are made.
The evidence:
- General-purpose robotics company Figure raised $1 billion in Series C funding. Mind Robotics raised $400 million. Applied Intuition — whose vehicle intelligence platform is used by 18 of the top 20 global automakers as well as the U.S. Department of Defense — raised $600 million in a Series F led by BlackRock and Kleiner Perkins at a $15 billion valuation, up 150% from a year prior.
- Bain & Company’s Q4 2025 venture report confirmed: seed activity spiked in robotics, AI, semiconductors, and Web3, with early-stage activity strengthened specifically by robotics and defense tech.
- Sovereign wealth funds from Singapore, Qatar, Saudi Arabia, and Abu Dhabi are all backing robotics and manufacturing automation as part of their national diversification strategies. Combined, sovereign wealth funds globally manage assets exceeding $12 trillion — their deployment capacity dwarfs any traditional VC firm.
- Autonomous systems have become the bridge between defense tech and commercial robotics, with companies like Applied Intuition serving both markets simultaneously.
What this means for average investors: Most robotics companies are private. But publicly traded access points include ROBO (Global Robotics and Automation ETF), BOTZ (Global X Robotics & AI ETF), and individual names like Intuitive Surgical (ISRG) and Teradyne (TER). The humanoid robot names — Figure, 1X, Physical Intelligence — are pre-IPO, but watch for listings in the next 12–24 months.
⚠ Warning: Robotics has been “the next big thing” for a decade. The difference now is the AI layer enabling genuine general-purpose capability — but commercialization timelines are notoriously hard to predict. Sizing this as a speculative position, not a core holding, is the disciplined approach.
Nuclear Energy / SMRs — The Quiet Giant Nobody Expected
The thesis: AI’s biggest bottleneck is not chips — it is electricity. Every data center needs massive, reliable, around-the-clock power that solar and wind cannot guarantee. Nuclear — specifically small modular reactors (SMRs) — has gone from politically toxic to strategically essential almost overnight. Big tech is now directly financing nuclear as a prerequisite for AI expansion.
The evidence:
- TerraPower (co-founded by Bill Gates) raised $650 million in June 2025, with Nvidia’s venture arm NVentures investing for the first time. More recently, in January 2026, TerraPower signed a mega deal with Meta for eight Natrium 345MW advanced nuclear plants — one of the largest corporate nuclear commitments ever made. Meta’s Prometheus AI supercluster in Ohio is partly dependent on this nuclear capacity.
- Amazon committed $500 million to X-Energy to develop next-generation SMRs, plus signed partnerships with Energy Northwest for four SMRs in Washington state and a collaboration with Dominion Energy for Virginia projects.
- X-Energy raised a $700 million round from multiple investors. TerraPower has raised nearly $1 billion in total.
- A new 2,250-acre AI data center site in Louisiana called Hyperion — estimated to cost $10 billion — includes an arrangement with a local nuclear power plant to handle the increased energy load.
- America’s utilities plan to spend $1.4 trillion through 2030 on power infrastructure, with Duke Energy committing $102.2 billion and Southern Company pledging $81.2 billion — the largest coordinated utility investment in American history. A significant portion targets nuclear and other 24/7 baseload capacity.
- S&P Global confirms that as data center power demand rises, the need to offset emissions could drive investment into nuclear, carbon capture, and battery storage at a scale not seen before.
What this means for average investors: Public nuclear names with SMR exposure include Constellation Energy (CEG), Vistra (VST), NuScale Power (SMR), and BWX Technologies (BWXT). The uranium supply chain is also attracting capital — Cameco (CCJ) is the largest publicly traded uranium producer. ETFs like URNM (Sprott Uranium Miners ETF) give diversified exposure.
⚠ Warning: SMR timelines are measured in years to decades, not quarters. Regulatory approval, construction risk, and cost overruns have derailed nuclear projects repeatedly in the past. The demand story is ironclad. The execution risk is real. Do not treat any SMR investment as a near-term trade.
Biotech & Life Sciences — Where AI Meets Drug Discovery
The thesis: The same computational power that is transforming software is being applied to protein folding, genomics, and drug design. AI-driven drug discovery has compressed timelines that used to take decades into years — and big money is treating this as a once-in-a-generation opportunity, with sovereign wealth funds and Big Pharma both deploying at scale.
The evidence:
- The cumulative year-to-date value of biotech M&A deals in 2025 already surpassed the total from all of 2024, with the pace of acquisitions accelerating sharply through mid-year per AlphaSense data.
- Johnson & Johnson kicked off the M&A wave with its $14.6 billion acquisition of Intra-Cellular Therapies in January 2025. Pharma giants are acquiring AI-biotech companies before they reach public markets.
- Medical device companies are drawing enormous checks: the largest U.S. funding deal in one recent week was $1.5 billion for a medical device company developing implants and treatment systems for musculoskeletal disorders.
- Crunchbase data confirms biotech is consistently in the top five sectors by deal count and dollar volume in 2026, alongside AI, defense, robotics, and semiconductors.
- Morgan Stanley explicitly names life sciences advances as one of the four strategic priorities investors should position for in 2026: “Be positioned, both on offense and defense, for AI-driven disruptions including labor dislocation and life sciences advances.”
- OECD data confirms that AI-focused VC in healthcare, drugs, and biotechnology saw a notable surge post-COVID and has not subsided.
What this means for average investors: Biotech is high-risk, binary, and hard to pick individually. The accessible routes are thematic ETFs: XBI (SPDR S&P Biotech ETF), IBB (iShares Biotechnology ETF), and ARKG (ARK Genomic Revolution ETF) for the AI-genomics angle specifically. For individual names, focus on companies with AI-enabled drug discovery platforms rather than single-drug pipelines.
⚠ Warning: Individual biotech stocks are binary events — a single FDA decision can wipe 70% of a company’s value overnight. If you are an average investor without the time to analyze clinical trial data, stick to the ETF basket. Never put more than 5% of your portfolio in any single biotech name.
Emerging Markets AI — The Valuation Arbitrage Big Money Doesn’t Want You to Know About
The thesis: U.S. AI stocks are priced for perfection. The same AI trade — semiconductors, infrastructure, supply chain — is available in Taiwan and South Korea at meaningfully lower valuations. Goldman Sachs’s chief investment strategist is calling it “the next big wave.” Note: sovereign wealth funds actually flowed heavily into the U.S. in 2025 (nearly half of all SWF investment), not into EM. The EM thesis here is a valuation arbitrage call for retail investors, not a statement about where sovereign wealth funds are deploying.
The evidence:
- Goldman Sachs’s chief investment strategist explicitly stated: emerging markets are “where a lot of the big money can be made on the AI trade” — particularly Taiwan and South Korea, where valuations “really haven’t gone up as much as they have in the U.S.” despite being major players in the AI supply chain. The iShares MSCI Emerging Markets ETF is up 26% year to date.
- Taiwan and South Korea host the world’s most critical AI semiconductor supply chain. TSMC manufactures virtually every advanced AI chip. Samsung and SK Hynix produce the HBM memory that every AI accelerator requires. These are not emerging stories — they are foundational infrastructure that no amount of U.S. domestic production can replace in the near term.
- Reuters and Global SWF data confirmed that sovereign wealth funds poured $132 billion — roughly half their 2025 investments — into the United States, focused on digital infrastructure, data centers, and AI. EM actually received 28% less SWF investment in 2025 than in 2024. The valuation gap between EM AI names and U.S. AI names therefore widened — creating the opportunity Goldman is pointing to for 2026.
- BlackRock confirms: “Emerging markets benefited from their own AI leaders” in 2025, with EM stocks delivering standout returns that flew under the radar of U.S.-focused investors. Looking to 2026, BlackRock remains constructive on both U.S. and emerging markets equities.
- The UK government launched a £500 million Sovereign AI Fund in April 2026 to invest in homegrown AI companies — a signal that nations are treating AI capability as strategic infrastructure requiring public capital.
What this means for average investors: This is the contrarian call on the list. U.S. AI valuations are stretched; the same supply chain is cheaper in Asia. EWT (Taiwan ETF) and EWY (South Korea ETF) give direct exposure to the semiconductor supply chain at a fraction of U.S. valuations. AAXJ and VWO offer broader EM baskets. The risk: Taiwan Strait tensions are real and can reprice these markets rapidly on geopolitical headlines.
⚠ Warning: Emerging markets carry currency risk, geopolitical risk (Taiwan Strait tensions are real), and regulatory risk. The valuation discount exists for a reason. This is a satellite position for a diversified portfolio, not a replacement for core U.S. holdings.
CPA Insight: How Average Investors Should Size These Themes
The access gap is real but manageable. All six of these themes have the most attractive opportunities in the private market — the Anduril Series H, the TerraPower round, the humanoid robot companies. As a retail investor, you cannot buy those. But you can buy the public companies and ETFs that are the direct beneficiaries of the same capital flows. The goal is not to replicate a sovereign wealth fund portfolio. It is to align your accessible public-market positions with where the structural demand is going.
Sizing matters more than selection. Each of these six themes is a legitimate multi-year structural trend. None of them is a sure thing. A reasonable approach: treat one or two of these as satellite positions (5–10% of investable assets each), accessed primarily through thematic ETFs rather than individual stocks, held alongside a core index fund portfolio. Do not abandon your VOO or VTI for any of these themes. Layer them on top.
Tax efficiency: Thematic ETFs in these sectors tend to have higher turnover than broad index funds, which can generate short-term capital gains distributions even in years where the ETF performs well. If you are investing in a taxable brokerage account, hold thematic ETFs for at least one year before selling to access long-term capital gains rates. Better yet, consider placing higher-turnover thematic ETFs inside a Roth IRA or 401(k) where gains compound tax-free.
Six Themes at a Glance COMPARE
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| Theme | Key Evidence | Accessible ETFs | Risk Level |
|---|---|---|---|
| AI Infrastructure & Power | $690B+ hyperscaler capex 2026; $1.4T utility plan | SOXX, SMH, VPU, EQIX | Medium-High |
| Defense Tech | $9.6B+ VC record; Anduril $5B/$61B val; $20B Army IDIQ | ITA, XAR, PLTR, RTX | Medium |
| Robotics | Figure $1B; Applied Intuition $600M; BofA/KP led | ROBO, BOTZ, ISRG, TER | High |
| Nuclear / SMR | TerraPower/Meta 8-plant deal Jan 2026; X-Energy $700M; Amazon $500M | URNM, CCJ, CEG, SMR | High |
| Biotech / Life Sciences | J&J $14.6B deal; biotech M&A record; $1.5B med device round | XBI, IBB, ARKG | High |
| Emerging Markets AI | EM ETF +26% YTD; Goldman “next big wave”; valuation gap vs U.S. | EWT, EWY, AAXJ, VWO | Medium-High |
Data as of June 2026. ETF suggestions are for informational purposes only and not investment advice. Risk levels are relative assessments, not absolute ratings.
⚠ Warning: All six of these themes are more volatile than broad index funds. They are satellite positions for investors who have already established a core portfolio — not replacements for it. If you do not have at least 60% of your investable assets in diversified index funds, start there before adding any thematic position.
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About the author: Jenny is a CPA with experience in the wealth and asset management industry, valuation, and financial reporting. She writes about practical investing strategies, tax optimization, and long-term wealth building for average earners.
Disclaimer: This content is for educational purposes only and not financial advice. The author is a CPA and not a registered investment adviser. CPA credentials relate to accounting and tax matters only. Nothing in this post constitutes advice from a licensed investment professional. All data, funding rounds, and market statistics are based on publicly available information as of June 2026 and are subject to change. ETF and stock mentions are for illustrative purposes only. Always consult a qualified investment professional before making investment decisions.
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