Fintech experienced an investment supercycle framed as seasons: a 'late spring' in 2018-19, an 'EDM pumping summer' of insane growth in 2020-21, a sudden 'winter' in late 2022, and a return to 'spring' in 2024. This pattern was driven by macro conditions and investor sentiment.
The concept of a fully automated financial agent appeals to tech-savvy power users but overlooks a critical barrier for mass adoption: trust. The average person is uncomfortable with an algorithm moving their money without explicit instruction, making this a product built for creators, not the actual market.
The 2022-2023 market downturn acted as a forcing function for survival. Point solutions like neobanks had to expand into lending or investing to retain users. This culling process resulted in the winners emerging as much more comprehensive, full-fledged financial platforms, not just niche apps.
Counterintuitively, the period of slower market growth was more fulfilling for Plaid's leadership. The hyper-growth 'summer' felt like just riding a wave, whereas the 'winter' demanded true innovation and customer focus, leading to a 'refounding moment' and increased product velocity.
The end of the zero-interest-rate period compressed lending margins, but it had a silver lining. It forced fintech companies to become 'full-stack' by acquiring bank charters and building significant revenue streams from customer deposits, ultimately making their business models more durable.
While many focus on AI for consumer apps or underwriting, its most significant immediate application has been by fraudsters. AI is driving an 18-20% annual growth in financial fraud by automating scams at an unprecedented scale, making it the most urgent AI-related challenge for the industry.
The 'every company is a fintech company' thesis has evolved. Its most powerful manifestation isn't just in software but in legacy industrial companies. Giants like Ford and John Deere are now major consumers of financial infrastructure, embedding services directly into their core, non-digital products.
Large financial institutions, which once insisted on building all tech in-house (even email clients), have undergone a cultural shift. Humbling experiences and the clear ROI of AI have made them more open to adopting best-in-class external software, creating a huge market for B2B fintechs.