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Nasdaq's best month in 23 Years and the tech themes that beat it

Veröffentlicht am 12. Mai 2026

Ayush Babel
Ayush Babel

Director, Quantitative Research

Baoqi Zhu
Baoqi Zhu

Senior Associate, Quantitative Research and Multi Asset Solutions

Blake Heimann
Blake Heimann

Senior Associate, Quantitative Research

Elvira Kuramshina
Elvira Kuramshina

Associate Director, Quantitative Research

Wichtige Erkenntnisse

  • Related Products WisdomTree Artificial Intelligence UCITS ETF – USD Acc, WisdomTree Physical AI, Humanoids and Drones UCITS ETF - USD Acc, WisdomTree Quantum Computing UCITS ETF - USD Acc, WisdomTree US Quality Growth UCITS ETF - USD Acc Find out more

The Nasdaq-100 just posted its strongest monthly return in more than 23 years – a powerful reminder of how quickly sentiment can shift in equity markets (see Figure 1). Alongside this strength in the broad technology benchmark, a range of tech-driven themes are gaining traction as compelling sources of growth. For investors, this suggests the opportunity set is no longer confined to the familiar mega-cap leaders but is expanding across a wider universe of innovative companies shaping the next phase of market leadership.

In this blog, we highlight three WisdomTree thematic strategies that outpaced the Nasdaq-100 in April 2026 and explore a fundamentals-based alternative to this widely followed benchmark.

Figure 1. Top 10 monthly returns of the NASDAQ-100 Total Return Index since January 2000 vs. WisdomTree strategies in April 2026

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Source: WisdomTree, Bloomberg Finance L.P. Period from 31 December 1999 to 30 April 2026. Nasdaq-100 total return version is referenced instead of the net total return version to allow for longer historical comparison. WisdomTree AI is represented by the net total return version of the Nasdaq CTA Artificial Intelligence Index. Since its live inception on 29 October 2018, WisdomTree AI had 343.36% cumulative return as of 30 April 2026. WisdomTree Physical AI is represented by the net total return version of the WisdomTree Physical AI UCITS Index. Since its live inception on 11 December 2025, WisdomTree Physical AI had 4.84% cumulative return as of 30 April 2026. WisdomTree Quantum is represented by the net total return version of the WisdomTree Classiq Quantum Computing UCITS Index. Since its live inception on 30 May 2025, WisdomTree Quantum had 64.52% cumulative return as of 30 April 2026. You cannot invest directly in an index. Historical performance is not an indication of future performance and any investments may go down in value.

Earnings reinforce momentum in AI

“The latest earnings season reinforced that AI remains one of the strongest drivers of capital spending, cloud demand and semiconductor growth across global equity markets.” – Baoqi Zhu, Associate Director, Quantitative Research & Multi Asset Solutions, WisdomTree.

AI remains a key driver of the broader equity market, and the latest earnings releases continue to support its strong momentum. The WisdomTree Artificial Intelligence strategy having returned more than 23% in the month of April, illustrated this AI-driven strength in equity markets, especially across the AI infrastructure players.

Capital expenditure (capex) from hyperscalers remains strong. Meta and Alphabet both raised 2026 capex guidance, while Microsoft signalled another increase in AI infrastructure investment. Meta, Microsoft, Amazon and Alphabet, are expected to spend around $700bn in total capex in 20261. This suggests demand for AI computing capacity remains strong. However, the higher spending is putting pressure on profitability, with Microsoft noting that AI infrastructure costs and higher AI usage weighed on gross margins.

Elevated valuations and the sheer scale of hyperscaler capex also means investors will increasingly focus on the ability of AI investments to translate into sustainable earnings and revenue growth. Recent earnings suggest there are early signs of this happening. Alphabet said enterprise AI solutions became the main growth driver for Google Cloud, with cloud revenue growing 63% year on year2, while Microsoft continued to see strong Azure demand linked to AI workloads. Broader enterprise adoption of AI is increasing demand for cloud computing and AI inference services, providing evidence that AI infrastructure spending can generate returns over time.

Semiconductor companies also continue to benefit from this trend. Nvidia still delivered revenue growth above 70%3 year on year despite its already large scale, while TSMC reported strong demand from AI and high-performance computing customers. The gains are also spreading beyond GPUs. Memory suppliers such as SK Hynix reported record revenue as high-bandwidth memory becomes an important constraint in AI systems. In addition, AMD and Intel both highlighted growing demand for CPUs, noting that more complex AI inference workloads, such as orchestration and planning, require greater CPU usage. This suggests AI infrastructure demand is expanding across the semiconductor stack rather than being concentrated only in GPUs.

Physical AI – the next frontier of AI growth

The WisdomTree Physical AI strategy delivered strong returns in April, with the rally being underpinned by a steady drumbeat of commercial progress across the theme over the past several weeks.

In humanoids, UBTECH, one of the strategy's largest positions, raised its 2026 shipment guidance from 3,000 to 5,000 units and flagged capacity expansion toward 10,0004. Tesla reinforced the same trajectory by lifting its 2026 capex guidance to over $25 billion to scale Optimus production and its broader AI ambitions5. In drones, AeroVironment is now sitting on a $1.1B funded backlog with revenues up 143% year-on-year6. And in logistics and warehouse automation, Symbotic grew beyond its Walmart anchor client with a major new contract with one of the largest food cooperatives in the US7. Capping the month, humanoid robots completed a half marathon in Beijing in 50 minutes and 26 seconds, faster than the human world record, a vivid and public signal of how quickly the underlying technology is maturing8. The pace of adoption however will ultimately depend on whether falling hardware costs and improving software capabilities can support scalable commercial economics across industries.

“Taken together, the steady build of commercial milestones across humanoids, drones, and robotics over recent months has set the stage. April's performance suggests equity prices are now catching up to that underlying momentum.” – Blake Heimann, Associate Director, Quantitative Research, WisdomTree.

Accelerating progress in quantum computing

Quantum computing was supported by a cluster of developments around World Quantum Day on April 14. Nvidia introduced its Ising family of open-source quantum AI models, bringing advanced AI capabilities into the quantum ecosystem and essential for accelerating progress toward commercially useful systems9. At the same time, IonQ reported a foundational networking milestone, advancing efforts to connect quantum systems and scale computational capacity beyond the limits of individual machines10.

This was followed by Cisco’s advance in quantum networking, the Cisco Universal Quantum Switch, designed to link quantum systems through standard fiber networks and at room temperature11. Meanwhile, IBM highlighted a growing focus on near-term quantum advantage through quantum-centric supercomputing and expanded university partnerships. Earlier in March 2026, academic researchers using IBM’s quantum systems, showcased quantum’s current utility, successfully validating the properties and structure of a novel molecule12.

Progress is also accelerating on the software side. Google Quantum AI released research demonstrating further reductions in the number of physical qubits required to break certain encryption methods using Shor’s algorithm. Continued advances in algorithms and quantum error correction, potentially enhanced by AI, could compress these requirements further. This underscores that quantum software is becoming as critical as hardware, as it will determine how effectively quantum computing power translates into real-world applications.

Alongside technological progress, capital markets and policy support are building, with new pure-play IPOs, a pipeline of listings ahead, and the National Quantum Initiative Reauthorization Act advancing in the U.S. While momentum is building, investors should recognise that quantum computing remains an emerging technology with uncertain commercial timelines and significant technical hurdles still ahead.

“While a range of [engineering] challenges remain, the recent pace of innovation in quantum computing suggests breakthroughs may arrive sooner than expected, potentially rewarding investors positioned early in the theme.” – Elvira Kuramshina, Associate Director, Quantitative Research, WisdomTree.

A fundamentals-based alternative to the NASDAQ-100

“For investors looking beyond traditional market-cap based exposure, the WisdomTree US Quality Growth strategy may offer a fundamentals-based alternative to the NASDAQ-100 Index.” – Ayush Babel, Director, Quantitative Research, WisdomTree.

The WisdomTree US Quality Growth strategy focuses on profitable U.S. companies from all major U.S. exchanges with high sales and earnings growth along with high return on equity and return on assets, helping investors gain exposure to structural growth themes while maintaining an emphasis on quality.

The WisdomTree strategy, represented by the WisdomTree US Quality Growth UCITS Index, returned 15.68% in April 2026 and 41.13% over the one-year period ending April 2026, outperforming the NASDAQ-100 across both periods. Unlike conventional growth benchmarks that tend to select stocks based on market capitalisation, the WisdomTree strategy uses a rules-based methodology designed to identify companies with durable growth characteristics and healthier balance sheets.

The resulting portfolio captures many of the same innovation-driven opportunities powering the recent rally in growth equities, while navigating the vulnerabilities of growth strategies by placing greater emphasis on profitability.

1 Bloomberg, company filings.
2,3 Company filings.
4 UBTECH Robotics Calendar Year Q1 2026 earnings release, 31 March 2026.
5 Tesla Calendar Year Q1 2026 earnings release, 22 April 2026.
6 AeroVironment Calendar Year Q1 2026 earnings release, 10 March 2026.
7 "Associated Wholesale Grocers and Symbotic Announce Major Warehouse Automation Project," Symbotic Inc., 31 March 2026.
8 "Humanoid robots race past humans in Beijing half-marathon, showing rapid advances," Reuters, 19 April 2026.
9 NVIDIA, “NVIDIA Launches Ising, the World’s First Open AI Models to Accelerate the Path to Useful Quantum Computers” press release, 14 April 2026
10 IonQ, “IonQ Achieves Key Photonic Interconnect Milestone, Demonstrating Networked Quantum Systems Using Entanglement” press release, 14 April 2026
11 Cisco, “Cisco Introduces Universal Quantum Switch, Advancing the Path to a Quantum Network”, 23 April 2026
12 IBM, “IBM and University Researchers Create a Never-Before-Seen Molecule and Prove its Exotic Nature with Quantum Computing”, 5 March 2026

Über die Autoren

Ayush Babel
Ayush Babel

Director, Quantitative Research

Ayush Babel is the Director of Quantitative Research in WisdomTree's multi-asset quantitative research and index teams. In this role, he focuses on developing innovative quantitative strategies across various asset classes while supporting WisdomTree's diverse range of products. His expertise spans factor exploration, portfolio construction and optimization, quantitative investment research, and product development.

With over a decade of experience in the financial services industry, Ayush has held investment research roles at J.P. Morgan and Franklin Templeton. At these institutions, he was responsible for developing and managing equity and fixed income smart beta products, as well as cross-asset risk premia solutions for global institutional and retail clients. His experience covers a broad spectrum of asset classes and investment styles.

Ayush holds a bachelor's in Engineering Physics and a master’s degree in Nanoscience from the Indian Institute of Technology, Bombay.

Baoqi Zhu
Baoqi Zhu

Senior Associate, Quantitative Research and Multi Asset Solutions

Baoqi Zhu joined WisdomTree in 2023 as a Senior Associate on the Research team. Baoqi focuses on quantitative research on thematic equity indices and portfolio solutions. Prior to WisdomTree, Baoqi spent over two years at Ernst & Young (EY) in their Quantitative Advisory Services, where he was involved in the research and development of quantitative risk models. Earlier in his career, Baoqi served as a quantitative analyst within a multi-asset structuring team at Maven Global for more than three years. His responsibilities included designing and optimising bespoke hedging strategies based on derivatives. Baoqi holds a MSc in Financial Engineering & Risk Management from Imperial College London and a BSc in Actuarial Science from Nankai University, China. He is also a certified Financial Risk Manager (FRM).

Blake Heimann
Blake Heimann

Senior Associate, Quantitative Research

Blake Heimann joined WisdomTree in 2020 and, in his current role as Senior Associate, supports the creation, maintenance, and reconstitution of our indices. Blake began his career in finance in 2017 as an Analyst at TD Ameritrade, and later a Quantitative Analyst with focuses on research and development of machine learning applications in finance. Blake has bachelor’s degrees in Mathematics and Economics from Iowa State University, as well as his Masters in Computer Science at Georgia Tech, with a specialization in Machine Learning. He is currently pursuing a Masters in Finance from the London School of Economics.

Elvira Kuramshina
Elvira Kuramshina

Associate Director, Quantitative Research

Elvira has been a member of the WisdomTree Research team since September 2018. With over nine years of experience in the ETF and asset management industry and an academic background in quantitative finance, Elvira combines technical expertise with thematic strategy insights to contribute to thought leadership research and the development of new innovative strategies at WisdomTree. As a lead specialist in thematic strategies, she supports the periodic review and rebalancing of thematic portfolios, delivers quantitative insights, bespoke analysis for clients, strategic thought pieces as well as commentary on market trends and thematic strategies. She also develops comprehensive product collateral designed to support client needs.

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