Nasdaq launches Economic Institute, debuts AI research series
Nasdaq launched the Nasdaq Economic Institute on June 09, 2026, to provide research and analysis on capital markets. The Institute's inaugural AI research series reveals that generative AI is lowering barriers to entry, driving a surge in new business applications led by solo entrepreneurs. This trend is concentrated in high-productivity sectors like technology and finance, signaling potential long-term economic impacts.

*this image is generated using AI for illustrative purposes only.
Nasdaq announced the launch of the Nasdaq Economic Institute on June 09, 2026, a new research platform designed to help policymakers, regulators, and market participants better understand the dynamics shaping capital markets. The Institute will serve as a dedicated platform for original research, expert analysis, and convenings on critical issues affecting the financial ecosystem. This initiative aims to connect ground-level market data to broader economic trends, leveraging Nasdaq's client community of over 10,000 corporates and technology infrastructure embedded across 140+ markets.
"Better markets are built on better insights," said Jeremy Skule, Executive Vice President and Chief Strategy Officer at Nasdaq. He emphasized the need for rigorous, independent, and data-driven economic research amidst rapidly evolving economies and technologies. The Institute will focus on three core areas: Capital Formation, Market Modernization, and Financial Resiliency.
As its first major initiative, the Institute debuted a research series focused on how AI is transforming the global economy. The inaugural report explores the impact of generative AI on entrepreneurship, revealing that new business applications have accelerated sharply since early 2025. The timing of this increase aligns closely with advances in generative AI and the introduction of agentic AI tools.
Key Findings from the AI Research Series
The report highlights several significant trends regarding business formation and productivity:
| Key Finding | Detail |
|---|---|
| Driver of Growth | The rise in entrepreneurship is driven almost exclusively by one-person businesses, while applications from businesses likely to hire employees remain flat. |
| Sector Focus | Solo businesses are forming in historically productive sectors like tech, finance, and professional services, which have the highest AI adoption. |
| Productivity Signal | These high-adoption sectors have averaged 2.2% annual productivity growth since 2005, suggesting a strong signal for long-run productivity. |
"What's striking isn't just that entrepreneurship is increasing — it's who's driving it and where," said Phil Mackintosh, Chief Economist at Nasdaq. He noted that solo operators forming in sectors with consistent productivity growth provide a meaningful signal for where AI's economic impact may appear first.
Beyond publishing research, the Institute will function as a convening platform. It will bring together market participants, policymakers, regulators, and academic experts through roundtables and forums. These discussions will focus on topics such as access to public markets, the modernization of market infrastructure, and the evolving role of regulation in maintaining transparent and efficient markets.
How will the surge in one-person businesses impact traditional labor market statistics and employment policies?
Will the rise of solo entrepreneurship in high-productivity sectors eventually translate into broader economic growth or remain niche?
What regulatory challenges might arise as AI tools enable individuals to operate complex businesses without traditional corporate structures?





























