Analysis: Anthropic Just Walked Into $5T of Market Cap
A $380B AI company is now competing with $5T in financial incumbents.
Gm Fintech Architects —
Today we are diving into the following topics:
Summary: We argue that Anthropic’s $30B-backed expansion of Claude’s financial “skills” suite represents a direct challenge to roughly $500B in annual revenue across financial analysis, investment banking, equity research, private equity, and wealth management — industries representing over $5T in market capitalization. With Anthropic valued at $380B and reportedly approaching OpenAI in ARR, its Cowork agent can now execute structured workflows such as DCF modeling, comparable analysis, earnings reviews, due diligence prep, and portfolio planning at near-human quality. While network-driven businesses like investment banking and private equity may prove more resilient, junior analyst labor, research production, and commoditized advisory functions appear structurally exposed. The release reframes vertical AI startups as fragile middle layers, vulnerable to disintermediation by foundation models with infinite distribution and capital. We conclude that the financial services stack is entering an S-curve of cognitive automation, where successive skill domains collapse into LLM-native workflows, compressing labor economics and forcing incumbents to either integrate or be abstracted away.
Topics: Anthropic, Claude, OpenAI, Altruist, SAP, Oracle, Microsoft, IBM, Workday, Intuit, Salesforce, JPMorgan, Goldman Sachs, Morgan Stanley, Bank of America, Citigroup, UBS, Barclays, Deutsche Bank, Evercore, S&P Global, Moody’s, LSEG, MSCI, FactSet, Morningstar, Blackstone, KKR, Apollo, Brookfield, Ares, EQT, TPG, Carlyle, Partners Group, Charles Schwab, BlackRock, Ameriprise, Raymond James, LPL Financial, T. Rowe Price, St. James’s Place, Envestnet
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Long Take
It’s Anthropic’s World, and We Are Living in It
Anthropic has come for the future of work.
The market has reacted and over-reacted. Luke did a great write-up earlier this week on how Altruist has nuked the public wealth management companies by doing a high-quality integration into its custodian stack of financial planning software.
Which is great, until you realize what Anthropic has done. Any vertical AI application can be disintermediated at a moment’s notice by an LLM with $30B in venture capital.
Aside from looking like it will pass OpenAI on ARR, Anthropic has just launched a full suite of financial skills for Cowork, its automated work agent. Now, the skills themselves are really just instructions for how to execute tasks that require more thinking and time.
You can understand this as an anchoring knowledge coordinate via the systems we described below. Longer and longer tasks are now going to approach human quality.
Anyone skilled in a financial skill could theoretically do a good job of specifying a common financial function to an LLM, and having it give you back repeatable recipes to perform them. Here are the major categories —
This gives Claude at least 5 industries to blow up:
Financial Analysis / CFO Suite — $10B+ per year of revenue
Investment Banking — $100B+
Equity Research — $10B+
Private Equity — $140B+
Wealth Management — $300B+
All in, we are looking at around $500B+ in revenue and $5 trillion or more in market capitalization of the top affiliated firms. Anthropic’s $380B valuation seems timid in comparison!
By the way, this AI news should be of no surprise to anyone! For careful readers of this newsletter, as well as industry participants, these outcomes are obvious. They have been telegraphed for over a decade. Consider the write-up I did here in 2015.
There have been many Cassandra prophets who have told you the future, and we are tired of screaming into the void and talking about discounted cash flows when the entire fortress is on fire.
So let’s dive into what each of these Anthropic releases looks like and what this has done to the market.
We show the public company and start-up market maps in each industry to highlight the types of players that are now in the cross-fire of a hyper-intelligent inference machine with infinite money.
Good luck!
Financial Analysis (Corporate Finance Software/Services)
The software and services that power the corporate finance function: budgeting, forecasting, variance analysis, risk management, and financial reporting. Revenue comes from SaaS subscriptions, enterprise licenses, and consulting engagements sold to CFO offices.
Top Public Companies: SAP (~$310B marketcap), Oracle (~$430B), Microsoft (~$3T), IBM (~$210B), Workday (~$65B), FICO (~$52B), Intuit (~$180B), Salesforce (~$260B), Domo (~$0.5B), Qlik (private)
Revenue: ~$11B/yr
These SaaS financial servicing companies seem to have taken quite a hit. Of course, we can’t isolate the impact to Anthropic’s feature releases, and the comps are imperfect. The world is on fire with interest rates, high valuations, resource wars, and political destruction.
But let’s see what’s actually live on Anthropic by digging into the GitHub.
Now things get a bit more interesting once you click into one of the skills, like 3-statements or dcf-model. Each of the folders has a SKILL.md file, which contains written instructions for how to create a deliverable. Think of it as a mechanical labyrinth that squeezes the LLM octopus intelligence goo into a workflow.
Here are a few screenshots, because we know you won’t click on our links.
It feels like somebody took a finance textbook and re-formatted it in a way that a student can execute homework problems. This student is endlessly patient and has an enormous amount of GPU compute instead of a human squishy brain.
It is tricky to summarize these skills for you without dumping out an endless sequence of words and numbers, so we’ll try to do it with some infographics. The infographics are built literally on the skill file, which means they capture what the skill is designed to do using prompt instructions.
Here’s one for comparable company analysis.
We won’t do every single skill listed within financial analysis. You should have a good sense now of how an accountant or a financial analyst could become much more productive at their job. Instead of doing the math, you gather all the required information, dump it into Claude, and wait for an integrated answer.
If you are a smart robot, then instead of having a human feed you this info, just eat it directly via MCP, API, RSS, or another structured data feed.
Additionally, if you start with a highly personalized profile of yourself or your business and then execute these skills, the results become customized to your situation.
Let’s move on to the other categories.