Fintech's Maturation--AI's Dual Role in Fraud and Excellence
TL;DR
- Fintech's venture funding collapsed from 25% of all dollars to near zero by late 2022, indicating a severe market contraction and a "fintech winter" that lasted through 2023.
- AI's primary current use case in financial services is by fraudsters, leading to an 18-20% annual growth in financial fraud, outpacing defensive measures.
- The fintech industry has matured from solving "access" problems to focusing on making financial services "excellent," addressing issues like credit scoring and fraud detection.
- Incumbent financial institutions are increasingly embracing external software and technology, shifting from in-house development to adopting best-in-market solutions, accelerated by AI.
- Fintech companies are moving "full stack," acquiring banks and generating significant revenue from deposits, transitioning from origination-focused models to more stable, interest-rate-sensitive businesses.
- Embedded finance is expanding beyond traditional banking, integrating financial services into non-financial companies and everyday consumer experiences across various categories.
- The next horizon for fintech involves agentic financial services and AI-driven automation, potentially revolutionizing processes like mortgage applications and customer service.
Deep Dive
The fintech industry has experienced a dramatic cycle of explosive growth, a subsequent freeze, and a renewed surge, driven by macro-economic shifts and technological advancements. This volatility has not only redefined the market landscape but also underscored the maturation of fintech, moving it from a niche startup sector to an integral part of mainstream financial services. The current "spring" phase signals continued innovation, particularly in leveraging AI for enhanced fraud detection and underwriting, and the increasing adoption of external software by incumbent institutions.
The cyclical nature of fintech funding, peaking in 2020-2021 with 25% of venture dollars and collapsing to near zero by late 2022, highlights the sensitivity of the sector to interest rate environments and investor sentiment. Low rates fueled lending-driven growth, but rising rates shifted revenue models towards deposits, forcing companies to adopt "full-stack" approaches, often by acquiring banks. This period also led to a significant market consolidation, where stronger companies, particularly those offering essential infrastructure like Plaid, not only survived but expanded their offerings and reach, becoming larger and more resilient. The "fintech winter" acted as a crucible, testing true believers and fostering a community focused on building enduring value rather than chasing ephemeral trends.
Looking ahead, the integration of AI is poised to be a transformative force, but it also presents a significant challenge: fraudsters are currently leveraging AI more effectively than legitimate institutions. This escalating threat of AI-driven financial fraud, growing at an estimated 18-20% annually, necessitates a robust and evolving response. Plaid's development of network-linked anti-fraud tools, analyzing user actions across multiple fintech companies, represents a critical step in this arms race. Beyond fraud, the next horizon for fintech involves moving beyond mere digital access to creating truly excellent financial experiences, exemplified by innovative credit scoring models that consider real-time financial health and the broader application of AI to automate complex workflows within financial institutions, thereby accelerating digital transformation and offering new avenues for investment in software-led solutions.
Action Items
- Audit authentication flow: Assess 10 key endpoints for three common vulnerability classes (SQL injection, XSS, CSRF) to proactively address security risks.
- Create runbook template: Define 5 essential sections (setup, common failures, rollback, monitoring) to standardize operational knowledge and prevent future incidents.
- Implement AI-driven fraud detection: Deploy tools to analyze user actions across 100+ fintech companies and bank accounts, assigning trustworthiness scores to mitigate escalating fraud.
- Develop consumer credit scoring model: Build a new credit score based on income, expenses, and daily financial behavior to provide more accurate risk assessment for lenders.
- Track 5-10 high-variance financial events per period: Analyze outcomes of events like loan originations or deposit flows to measure their impact on revenue and profitability.
Key Quotes
"2018 2019 in fintech was late spring you get into 2020 and covid and that was utter insanity of a story like 25 of all venture dollars in that period went into fintech wow 25 the stat after that is not a good stat which is um starting in like the second half of 2022 like basically 0 of venture dollars went into fintech that's a drought maybe yeah yeah fintech winter was the second half of 2022 most of 23 and 24 things started to thaw a little bit and like now we're very much back into spring"
Zach Perret explains the cyclical nature of the fintech industry, comparing its phases to seasons. He highlights the extreme boom in venture funding during 2020-2021, where fintech attracted 25% of all venture dollars, followed by a severe drought in late 2022. Perret notes that the market is now showing signs of recovery, returning to a "spring" phase.
"it turns out the biggest use case for ai is fraudsters committing fraud against financial services companies financial fraud is growing at like like 18 to 20 a year which is insane and it's already a huge market i mean the cattle win long term but the mouse is winning right now"
Zach Perret makes a striking observation about the current impact of AI in financial services. He argues that fraudsters are the most significant users of AI, driving an alarming increase in financial fraud. Perret uses the analogy of a cat and mouse game, stating that while the "cat" (financial institutions) may win in the long run, the "mouse" (fraudsters) is currently ahead due to AI advancements.
"We explore how the industry moved from the explosive growth of 2020 and 2021 into a deep freeze, and why we are now seeing real momentum return. We also dig into the forces reshaping fintech today: AI’s outsized impact on fraud and underwriting, incumbents finally embracing external software, the renewed importance of deposits, and the rise of embedded finance across entirely new categories."
This quote from the episode description outlines the key themes discussed in the podcast. David Haber and Zach Perret aim to unpack the fintech industry's boom-and-bust cycle, explaining the transition from rapid growth to a standstill and the current resurgence. The description also highlights critical trends like AI's role in fraud and underwriting, the adoption of external software by established players, the significance of deposits, and the expansion of embedded finance.
"We've solved the access problem not completely not in every little niche but for the most part we as a collective industry have solved the access problem so i grew up in a small town only one bank in our town and if you didn't happen to be a member of that bank you couldn't get a loan easily now if you live in that same town you just go online and you apply for a mortgage and you got 30 mortgage offers in an hour or you can do it with rocket mortgage and be done in five minutes and these are awesome experiences that said what we've done is we've taken traditional financial services and we've made it digital we haven't necessarily made it excellent that's like the next horizon for us"
Zach Perret reflects on the fintech industry's progress, asserting that the primary challenge of providing digital access to financial services has largely been overcome. He contrasts his past experience of limited banking options with the current ease of obtaining financial products online. Perret identifies the next frontier as moving beyond mere digitization to creating truly "excellent" financial experiences, focusing on areas like credit scoring and overall service quality.
"The one benefit that i think has shown up more recently in fintech and the thaw period is that rates went up and it sort of shifted the mix of revenues for many of these fintech companies from lending driven kind of origination oriented stuff to deposits so many of these fintech companies decided i forget the exact timing but to go kind of full stack so you saw fintech companies like sofi you know buy banks lending club i think square got an iolc charter robinhood mercury many of these companies are generating very significant percentages of their revenue and profits today from deposit flows as rates have gone up and so that i think has helped thaw the market to some degree more recently"
David Haber discusses a positive outcome from the recent shift in the macroeconomic environment, specifically the rise in interest rates. He explains that this change has prompted many fintech companies to pivot their revenue models from lending origination to deposit-based income. Haber points to numerous companies that have become "full stack" by acquiring banks or obtaining charters, now deriving substantial revenue from managing customer deposits, which has contributed to the market's recovery.
"The one thing that we said for a long time that andrewson horwitz also likes to say is that every company's a fintech company and that was kind of quite common from 2018 onward now you see the emergence of embedded finance so some applied customers are like ford and john deere and these companies that like yes they do have captive financial services embedded within them but you do not think of them as financial services companies or large billers or it's expanded quite a lot and then you see the banks themselves historically they said oh we need to be fintech companies too now they're saying we have the biggest fintech companies like we invested as heavily in technology and so you've seen this startup industry now become mainstream and the firmament of financial services but also powering experiences well beyond financial services"
David Haber elaborates on the mainstreaming of fintech, referencing the common saying that "every company's a fintech company." He highlights the rise of embedded finance, where companies like Ford and John Deere integrate financial services into their offerings, blurring the lines of what constitutes a financial services company. Haber also notes the evolution of traditional banks, which now recognize their own significant technological investments and their role in powering experiences beyond traditional finance.
Resources
## External Resources
### Articles & Papers
- **"The Rise, Fall & Reset of The Fintech Industry"** (The a16z Show) - Mentioned as the title of the podcast episode.
### People
- **David Haber** - a16z General Partner, co-host of the podcast, discussed the fintech industry cycle, AI's impact, and investment opportunities.
- **Zach Perret** - Plaid cofounder and CEO, co-host of the podcast, discussed the fintech industry cycle, Plaid's evolution, AI's impact, and fraud.
### Organizations & Institutions
- **a16z (Andreessen Horowitz)** - Mentioned as the host of the podcast and a venture capital firm.
- **Plaid** - Discussed as a fintech company that provides data infrastructure, antifraud suites, and consumer credit scores.
- **Visa** - Mentioned in relation to a past acquisition agreement with Plaid.
- **DOJ (Department of Justice)** - Mentioned in relation to an investigation into Visa.
- **Goldman Sachs** - Mentioned as an example of an incumbent financial institution and its evolution with technology.
- **Spark** - Mentioned as an early investor in Plaid.
### Websites & Online Resources
- **a16z.com/disclosures** - Provided for more details on a16z investments.
- **a16z.substack.com** - Provided for more episodes and content.
### Other Resources
- **AI (Artificial Intelligence)** - Discussed as a significant force reshaping fintech, impacting fraud, underwriting, and future financial services.
- **Embedded Finance** - Mentioned as a trend where financial services are integrated into non-financial companies.
- **Fintech** - The primary subject of the podcast episode, discussing its boom, bust, and recovery cycle.
- **Consumer Credit Score** - Discussed as a product Plaid launched, based on income and expenses.
- **Lend Score** - Mentioned as the name of Plaid's consumer credit score product.
- **Protect** - Mentioned as Plaid's antifraud product suite.