Fintech Looks for an AI Boost

Key Concepts

• Artificial Intelligence (AI)
• Financial Services Industry
• Structured and Unstructured Data
• Generative AI
• Compliance Automation
• Human-in-the-Loop Systems
• Fintech
• Mergers and Acquisitions (M&A)

Artificial Intelligence in Financial Services

The financial services sector is identified as a highly promising vertical for AI adoption due to several key factors:

• Industry Size: Financial services represent approximately 25% of the economy, with an aggregate market capitalization of around $17 trillion.
• Data Abundance: The industry generates vast amounts of both structured and unstructured data (e.g., receipt data, bank statements, 10-K/10-Q filings, earnings call transcripts) that are currently underutilized.
• Economic Value of Improved Decisions: Even marginal improvements in decision-making, such as investment, underwriting (credit/fraud), can yield significant incremental economic value.

Greylock expresses strong optimism regarding the AI opportunity within financial services.

Economic Context and AI's Role

The current economic climate is characterized by underlying risks, exemplified by anxieties surrounding community banks' exposure to credit risk and concerns about auto loan exposure in key companies. This contrasts with the widespread excitement surrounding AI.

The focus is shifting from software as a mere tool for data entry to software capable of completing end-to-end work. This transition is particularly relevant in financial services, where the gap between spending on accounting software ($1.5 billion) and the cost of human bookkeepers and accountants ($140 billion) is expected to narrow significantly as AI-powered software takes on more comprehensive tasks. This trend is observed across various service segments within financial services.

Generative AI and Risk Mitigation

The impactful and productive application of these services hinges on the correct infusion of generative AI. Addressing concerns about potential negative consequences and ensuring that "cockroaches aren't creeping in" requires careful consideration.

Stress Testing and AI Implementation

When evaluating AI advancements, the comparison point is not perfection but rather human performance, which is also imperfect.

• Compliance as a Case Study: Compliance is a significant cost center for banks, with large tier-one banks spending $300-$400 million annually on compliance analysts. Despite this expenditure, the outcomes are often suboptimal, leading to $3-$5 billion in annual compliance fines, slow customer onboarding, and inconsistent results.
• Greenlight Example: Greylock has invested in Greenlight, a company that utilizes AI to automate compliance workflows. To address initial concerns about accuracy, Greenlight employs a "human-in-the-loop" system. AI automates much of the work typically done by L1 analysts, with L2 and L3 analysts then reviewing and approving the output.

Fintech in Public Markets and M&A

Portfolio Performance and Public Market Opportunities

Greylock was an early investor in Coinbase, a public fintech company. The public market opportunity for fintech is characterized by a supply and demand imbalance. Given the substantial market cap of the financial services industry ($7-$17 trillion), the representation of publicly available fintech companies is relatively small. This creates an interesting pipeline for high-performing, late-stage private companies, including those in Greylock's portfolio like Ramp, Revolut, Wealthsimple, and Stripe.

Mergers and Acquisitions (M&A)

The overarching theme in M&A, as in other economic sectors, is AI. Larger companies lacking an AI-native strategy are likely to pursue M&A opportunities to acquire AI capabilities.

Conclusion

The financial services industry presents a substantial opportunity for AI due to its size, data richness, and the potential for significant economic gains through improved decision-making. While economic uncertainties exist, the evolution of software towards end-to-end work completion, powered by generative AI, is poised to transform service delivery. Companies are advised to focus on AI infusion, with risk mitigation strategies like human-in-the-loop systems being crucial for adoption, particularly in areas like compliance. The fintech sector also shows strong potential for public market growth and M&A activity driven by AI strategies.