Google has done it. In a massive update to Google Pay, the company highlighted exactly the direction of travel for high tech, fintech, and the global banks. It has articulated a vision for competing with Apple Pay and Ant Financial. Let's walk through the features.
In this conversation, we chat with Adam Hughes – the Chief Executive Officer at Amount, a technology company focused on accelerating the world’s transition to digital financial services via its digital retail banking platform, world-class digital authentication & fraud prevention tools, and ecommerce point-of-sale financing technology.
More specifically, we touch on digital lending industry Buy Now Pay Later (BNPL), as well as the trends of working with large banks and enabling their digital transformation to access some of these themes as part of embedded finance and banking-as-a-service.
The fintech industry is coming up on the tipping point of funding, revenue generation, and user acquisition to rival traditional finance with $20 billion in YTD fintech financing, the several SPACs, and Visa’s $2B Tink purchased. Defensive barriers have eroded.
Let’s take a moment to compare capital. While it is not the money that wins markets, it is the transformation function of that money into novel business assets that does. And while the large banks have a massive incumbent advantage with (1) installed customers and assets, and (2) financial regulatory integration (or capture, depending on your vantage point), there is a real question on whether a $1 generates more value inside of an existing bank, or outside of an existing bank — even when it is aimed at the same financial problem.
In this discussion, we explore ways that Stripe — arguably the best American fintech company full-stop, although who would want to mess with Square — could be entering the crypto space. We consider approaches similar to the payment onramps, then discuss the underlying market structure powering those experiences, and highlight more generally the role of gateways relative to protocols. We touch on the role of custodians, banks, and wallets, as well as Square’s attempt, the tbDEX, where KYC/AML comes down to forms of opt-in identity. Finally, we address questions about Circle and USDC, and how stablecoins differ from the rails on which they travel.
In this analysis, we focus on Goldman Sachs launching an institutional embedded finance offering within Amazon Web Services, and Thought Machine raising a unicorn round for its cloud core banking platform. We explore these developments by focusing on the emerging role of cloud providers as distributors of third party software, think through some of the implications on standalone fintechs and open banking, and check in on AI company Kensho. Last, we highlight the difference between Web3 and Web3 approaches to “cloud”, and suggest a path as to how those can be rationalized in the future.
Let's make a collective decision to see the glass as half-full. While physical banking (7,000 US branches gone during 2012-2017) and employment in the sector (425,000 jobs lost since 2013) has been contracting, digital commerce, banking, and investment management have been growing. Even DFA is finally giving in and lowering fees on their $600 billion institutional mutual fund family. Of course, Fintech has been a slow and gradual transformation, not a rapid disruption. We can make a choice to bemoan the loss of the past, or a choice to express an excitement for the future and participate in its making. Which side are you on?
Robo 1.0 success Personal Capital was acquired for nearly $1 billion by Empower, a major retirement savings manager. Softbank-backed insurtech darling Lemonade IPOed at less than $2 billion, in a successful fundraise and listing, and has since seen its market cap rise to over $4 billion. The IPO is a landmark for an insurtech industry in desperate need of successes. And PayPal announces the impending launch of crypto trading to its 325 million users. The move isn’t overly interesting in its own right, but the implications for the crypto space are worth exploring.
I've got a gentle, data-backed story this week inspired by a great distinction made in this Techonomy article by the Chief Digital Officer at Schneider Electric. The thesis tracks three key lessons from attempting to bring large companies into the 21st century: (1) transform the core of your business instead of fumbling around at the edges, (2) digitize your processes and separately figure out a distinct digital model, and (3) catalyze a digital ecosystem from the new model. You can think about the distinction as either taking the existing business and slowly swapping out parts from human to machine (e.g., like RoboCop), or building the robot from scratch utilizing the latest platforms, markets, and artificial intelligence (e.g., like Terminator).
In this conversation, we geek out with Horacio Barakat, who serves as the Head of Digital Innovation for Capital Markets and the Head of DLT for the Repo Platform of Broadridge, about digital transformation, capital markets, and the role of blockchain in the institutional part of the financial industry.
Additionally, we explore the embedded complexities of capital markets and how fundamental they are to the smooth functioning of our economy, determining the growth of companies, and funding expansion. Touching on everything from the engine that powers capital markets, how that engine has evolved to becoming computational, and lastly how companies like Broadridge are leading the deep work going on in making that engine better.
This week, we look at:
The nature of innovation hubs, and how close groups of actors within a particular environment can be massively, fundamentally productive. Take for example the 30 million years of the Cambrian explosion.
The difficulty of experimenting with banking and money frameworks, the limits of traditional econometrics, and an overview of “free banking” in the 1840s.
How evolutionary theory can help us think about selection of economic models, and the hyper-competition and hyper-mutation that we see in crypto. DeFi protocols, like BadgerDAO and ArcX among hundreds of others, are experiments in designing different monetary policies and banking regime experiments in real time.
We have never before had such acceleration in the design space of the economic machine, subject to evolutionary pressures, built by a closely-wound nexus of developers. It is a fortune for the curious.
