What is AI Street about?

AI Street covers how Wall Street is using the latest AI technologies—like ChatGPT and other large language models—across hedge funds, asset managers, banks, fintechs, and regulators.

While financial institutions have used traditional AI and machine learning for decades, we focus on the new wave: automating equity research, creating custom portfolios, building novel datasets, and deploying AI agents that can reason through complex financial decisions.

What topics do you cover?

  • Breaking news on AI adoption at major financial institutions (JPMorgan, Goldman Sachs, UBS, etc.)

  • Regulatory developments from the SEC, Federal Reserve, and other financial regulators

  • Fundraising and startup news in the AI + finance space

  • Interviews with founders building finance-focused AI tools

  • Technical trends (retrieval-augmented generation, fine-tuning, vector databases) applied to markets

  • Tools and vendors gaining traction inside financial institutions

How is this different from other AI newsletters?

We generally don’t cover broad AI news. We write about AI through the lens of finance and its practical implications.

"We can be using AI and LLMs to convert and discover alphas in different domains. Possibilities are endless."

WorldQuant founder Igor Tulchinsky

Readership & Audience

Who reads AI Street?

AI Street is read by quants, portfolio managers, CTOs, consultants, data scientists, Big Law attorneys, venture capitalists, and academics from some of the most recognized names on Wall Street: Bloomberg, BlackRock, Citigroup, DRW, Millennium, Gartner, Morgan Stanley, Skadden, Federal Reserve, and Chicago Booth.

Who is AI Street for?

  • Investment professionals exploring AI workflows and seeking competitive advantage through technology adoption

  • Quant researchers and data scientists using large language models in market analysis. As WorldQuant founder Igor Tulchinsky says: "We can be using AI and LLMs to convert and discover alphas in different domains. Possibilities are endless."

  • Innovation leads at banks and fintechs tracking competitive deployments and understanding how peers are implementing AI at scale

  • VCs and founders building or backing AI tools for financial services, navigating a landscape where Norway's $1.8 trillion sovereign wealth fund now mandates: "It isn't voluntary to use AI. If you don't use it, you won't get a job."

If you're trying to understand how generative AI, large language models, and agent-based systems are actually being used in finance—this is for you.

Why Now

What kicked off this AI boom?

The recent AI boom traces back to an academic paper published by researchers at Google in 2017. The eight co-authors thought their research was important but didn’t see its lasting impact. They randomly assigned their names to the paper.

If he knew how famous the paper would become, he “might have worried more about the author order."

Noam Shazeer co-author

That paper introduced the transformer architecture that powers everything from ChatGPT to Claude. This framework has since become the core architecture for large language models used in tasks like summarizing documents, generating code, and parsing financial filings.

The architecture has also been adapted for use in fields like computer vision, protein folding, and time-series forecasting.

Practical Details

Is this free?

Right now, AI Street is free. Some longer breakdowns, curated databases, and deep-dive reports may be available as paid offerings later.

Who's behind AI Street?

AI Street is run by Matt Robinson, a former Bloomberg financial journalist with 15+ years of experience covering Wall Street.

Can I suggest a topic or get in touch?

Absolutely. Reach out via [email protected] or connect on LinkedIn.