{"id":689041,"date":"2026-05-23T18:19:27","date_gmt":"2026-05-23T18:19:27","guid":{"rendered":"https:\/\/www.newsbeep.com\/ca\/689041\/"},"modified":"2026-05-23T18:19:27","modified_gmt":"2026-05-23T18:19:27","slug":"what-anthropic-and-openai-launched-in-72-hours-has-wall-street-paying-attention","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/ca\/689041\/","title":{"rendered":"What Anthropic and OpenAI launched in 72 hours has Wall Street paying attention"},"content":{"rendered":"

Within 72 hours this month, Anthropic<\/a> and OpenAI<\/a> each launched enterprise deployment arms, announced major financial services partnerships<\/a>, and shipped agent tooling targeting Wall Street workflows. The message was the same \u2014 the next phase of frontier AI is not about models. It\u2019s about deployment.<\/p>\n

For developers, the implications are still unsettled.<\/p>\n

The services land grab<\/p>\n

Anthropic\u2019s new services firm \u2014 backed by Blackstone and Hellman & Friedman alongside General Atlantic, Apollo, Goldman Sachs, and Sequoia Capital \u2014 targets mid-sized enterprises that the large consulting and systems integration firms don\u2019t prioritize. These include community banks, regional health systems, and mid-market manufacturers. Applied AI engineers from Anthropic embed directly with clients alongside the new firm\u2019s own engineering staff, doing workflow discovery, building custom Claude-powered solutions, and supporting clients long-term.<\/p>\n

OpenAI\u2019s Deployment Company \u2014 \u201cDeployCo\u201d \u2014 operates one market segment up, targeting large enterprises with the same forward-deployed engineering model. Its acquisition of applied AI consulting firm Tomoro<\/a> brings roughly 150 experienced Forward Deployed Engineers<\/a> (FDEs) from day one, backed by more than $4 billion in initial investment and a partner roster that includes McKinsey, Bain & Company, and Capgemini.<\/p>\n

Both companies are betting on the same thesis: that the deployment gap \u2014 the widening distance between what frontier AI can do and what enterprises have actually shipped \u2014 is the next major revenue opportunity. And both moved on it in the same week.<\/p>\n

\u201cI would say there is a tremendous, somewhat surprising opportunity here,\u201d Brad Shimmin<\/a>, an analyst with the Futurum Group, tells The New Stack. \u201cEven within highly regulated industries, where inaccuracies\u00a0are not tolerated, generative and agentic AI promises to reinvent\u00a0the way\u00a0both consumers and financial professionals work with data.\u201d<\/p>\n

Jason Cutler<\/a>, SVP of Anthropic Consulting and Engineering at Caylent<\/a>, an AWS Premier Partner that recently launched a dedicated Anthropic practice, put it plainly. \u201cA year ago, there was a lot of concern \u2014 is Claude going to take the work of services partners like us?\u201d he tells The New Stack. \u201cAnd just in the last week, we\u2019ve seen Anthropic investing in a services company, OpenAI investing in a services company, Google hiring FDEs. We know there\u2019s a need.\u201d<\/p>\n

Cutler lists three phases of enterprise AI maturity he sees in the field: training and enablement, operating model and governance, and transformation. Most customers, he says, are still stuck in phase one.<\/p>\n

\u201cYou can bring AI into an existing process, but you\u2019re not getting the full advantage of AI yet. You really have to recreate the process alongside AI and your employees to really benefit,\u201d he says.<\/p>\n

Finance is the proving ground<\/p>\n

The financial services sector has emerged as the one where both labs are concentrating their enterprise push. On May 4, PwC and OpenAI announced a collaboration to build AI agents around the core operating functions of the CFO\u2019s office \u2014 planning, forecasting, reporting, procurement, payments, treasury, tax, and accounting close. OpenAI is serving as \u201ccustomer zero,\u201d building a procurement agent inside its own finance organization before exporting those patterns to enterprise clients. Early results include processing 5x as many contracts with the same headcount using Codex and managing more than 200 investor interactions during a recent fundraise using an IR-GPT tool, the company says.<\/p>\n

The next day, Anthropic released 10 ready-to-run agent templates targeting the most labor-intensive workflows in finance: pitch building, KYC screening, month-end close, GL reconciliation, earnings review, and underwriting. The templates ship as plugins in Claude Cowork<\/a> and Claude Code<\/a>, and as cookbooks for Claude Managed Agents. New data connectors \u2014 Dun & Bradstreet, Verisk, SS&C Intralinks, Third Bridge, Moody\u2019s \u2014 give the agents access to the live data financial professionals use. Claude Opus 4.7, Anthropic says, leads Vals AI\u2019s Finance Agent benchmark at 64.37%.<\/p>\n

Sanjay Subramanian<\/a>, PwC Partner, US & Global Anthropic Alliance Lead, Global AI Analyst Relations Lead, and a 27-year firm veteran, described the calculus for regulated industries in a briefing with The New Stack.<\/p>\n

\u201cFinancial services companies are looking at documents,\u201d he says. \u201cIntelligent document processing with both structured and unstructured data \u2014 that\u2019s been one of the great use cases.\u201d<\/p>\n

Subramanian cited an insurance engagement in which an underwriting cycle was compressed from 10 weeks to 10 days through a three-phase deployment: backtesting against historical outcomes, co-delivery with human oversight, and agents providing first-pass deliverables, with underwriters reviewing at checkpoints.<\/p>\n

Liability, he was careful to note, has not changed. \u201cThe human still has to review it before it goes to the next level. We\u2019re not changing that process. I think it\u2019s too early to change that process.\u201d<\/p>\n

What breaks<\/p>\n

Not every use case has worked, however. Subramanian identified a pattern in what fails: high-variance, unpredictable input.<\/p>\n

\u201cA supply chain company where they\u2019ve got lots of parts that need to get fixed \u2014 if those parts are so diverse, the questions are so diverse, there\u2019s less precision around that outcome,\u201d he says. The cases that work are deterministic and back-testable: ticketing systems, underwriting, and document review against known policy. The cases that struggle are open-ended customer service scenarios where the question space is effectively unbounded, he says.<\/p>\n

\u201cThe quality of these models is going up and up\u2026 The ability for companies to deploy them is not keeping up. That gap is increasing.\u201d \u2014 Sanjay Subramanian, PwC<\/p>\n

The harder lesson, he notes, is organizational. \u201cIf we look at the models that have come out the last two years \u2014 the AI revolution \u2014 the quality of these models is going up and up,\u201d Subramanian tells The New Stack. \u201cThe ability for companies to deploy them is not keeping up. That gap is increasing.\u201d <\/p>\n

CIOs conditioned to cost containment resist the temporary increase in spending required to rebuild legacy infrastructure. \u201cThat\u2019s probably one of the toughest things to get people comfortable with \u2014 that reinvention.\u201d<\/p>\n

Cutler echoes the point from a developer angle. The governance conversation is now the first conversation. \u201cWhen we see things like PHI and credit card authorizations and sensitive information, we need to make sure we\u2019re setting that up correctly on the foundational layer, so that customers feel safe that by leveraging AI, they\u2019re not out of bounds from what they have to do from a compliance standard,\u201d he says.<\/p>\n

The junior developer question<\/p>\n

Both Cutler and the Subramanian were asked directly whether junior developers benefit from Claude Code or get squeezed out by it. Both pushed back on the displacement narrative, though with different positioning.<\/p>\n

\u201cIn some cases, junior developers seem to be catching on even faster,\u201d Cutler says. \u201cIn the age of AI, some people are catching up very, very fast, and their own curiosity is lending itself to leveraging the tools effectively.\u201d Caylent has built what it calls a \u201cPlaybook Catalyst\u201d \u2014 an engagement designed to harvest how developers are actually using Claude Code across an organization, surface what good looks like, and use that to drive enablement for the rest of the team.<\/p>\n

Subramanian frames it in terms of baseline shift. \u201cWhat it\u2019s going to do is re-baseline what normative is \u2014 what quality is, what the expectation of time to value is. But it also means that if you\u2019re a new developer, you\u2019re able to learn quicker, you\u2019re able to test things out quicker. We can create automated packages to review your code, to coach you.\u201d<\/p>\n

He described AI as effectively substituting for the senior developer mentorship that junior developers often can\u2019t access. \u201cThings that would have taken a long time, you can learn a lot quicker.\u201d<\/p>\n

On the COBOL<\/a> modernization front \u2014 a significant concern for financial institutions running decades-old core systems \u2014 Subramanian described a dynamic that mirrors what developers are seeing elsewhere. Senior developers who were initially skeptical of Claude Code are finding they have more capacity, not less.<\/p>\n

\u201cThey\u2019re not spending time in meetings where developers working under them need to ask questions,\u201d he says. \u201cThey\u2019re actually able to reduce time to value in their deployment capabilities, and allow senior developers to spend time really building new capabilities as they transform from an old code base to a new code base.\u201d<\/p>\n

The fox in the henhouse<\/p>\n

Not everyone reads the partnerships as cleanly beneficial. Venture capitalist Chamath Palihapitiya<\/a> issued a blunt warning on X<\/a> after the DeployCo announcement: \u201cIf you are running a consulting business and you are deploying Anthropic or OpenAI directly into your organization (I\u2019m looking at you, PwC and Accenture) you are letting the fox into the henhouse.\u201d<\/p>\n

\u201cIf you are running a consulting business and you are deploying Anthropic or OpenAI directly into your organization\u2026 you are letting the fox into the henhouse.\u201d
\u2014 Chamath Palihapitiya<\/p>\n

His argument: \u201cOpenAI and Anthropic are openly funding and starting competitors to you while also using your usage to drive more success for them. This is not a failure on their part but a failure on your part.\u201d<\/p>\n

PwC now holds formal partnerships with both Anthropic and OpenAI. It sits in the Claude Partner Network alongside Accenture and Deloitte, and simultaneously co-develops finance agents with OpenAI\u2019s own finance organization. Anthropic\u2019s unnamed services firm targets a market segment just below PwC\u2019s. DeployCo, with McKinsey and Bain & Company as investors, targets the same large enterprises PwC serves.<\/p>\n

However, Caylent\u2019s Cutler did not share Palihapitiya\u2019s concern. He says he sees DeployCo\u2019s launch as a validation, not a threat.<\/p>\n

\u201cIt shows that private equity companies know that this work is going to need to get done. I think it actually validates Caylent going out and creating this practice, because the business is out there today,\u201d Cutler tells The New Stack.<\/p>\n

Whether that optimism is well-founded, or whether Palihapitiya\u2019s warning proves prescient, could depend on how quickly the labs\u2019 own deployment arms can scale.<\/p>\n

For developers building AI in financial services right now, the answer may matter less than the immediate reality, because the infrastructure is being built, the agent templates are shipping, and the certifications are being written. The work is there.<\/p>\n

\t<\/p>\n

\n\t\t\t\tYOUTUBE.COM\/THENEWSTACK\n\t\t\t<\/p>\n

\n\t\t\t\tTech moves fast, don’t miss an episode. Subscribe to our YouTube
\n\t\t\t\tchannel to stream all our podcasts, interviews, demos, and more.\n\t\t\t<\/p>\n

\t\t\t\tSUBSCRIBE<\/p>\n

\t<\/a><\/p>\n

Group
\n Created with Sketch.<\/p>\n

\t\t<\/p>\n

\t\t\t\t\t<\/p>\n

\n\t\t\t\t\t\t\tDarryl K. Taft covers DevOps, software development tools and developer-related issues from his office in the Baltimore area. He has more than 25 years of experience in the business and is always looking for the next scoop. He has worked…\t\t\t\t\t\t<\/p>\n

\t\t\t\t\t\tRead more from Darryl K. Taft\t\t\t\t\t\t<\/p>\n

\t\t<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"Within 72 hours this month, Anthropic and OpenAI each launched enterprise deployment arms, announced major financial services partnerships,…\n","protected":false},"author":2,"featured_media":689042,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[62,276,277,49,48,61],"class_list":["post-689041","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-ca","tag-canada","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/689041","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/comments?post=689041"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/689041\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media\/689042"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media?parent=689041"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/categories?post=689041"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/tags?post=689041"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}