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AI-Driven Finance: OpenAI, Stripe, Square, Revolut Poised to Dominate
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Published in Business and Finance on Thursday, December 18th 2025 at 19:00 GMT by 24/7 Wall St- 🞛 This publication is a summary or evaluation of another publication
- 🞛 This publication contains editorial commentary or bias from the source
If AI financial automation happens, these four companies win
The 247WallStreet article dated December 18 2025 lays out a clear vision of a near‑future in which artificial‑intelligence–driven automation dominates the financial services sector. It argues that the transition will be disruptive but ultimately beneficial to a handful of firms that already possess the right mix of data, technology, and scale. The four winners identified in the piece are:
| Company | Why it wins | What the article highlights |
|---|---|---|
| OpenAI | Core AI engine | Provides the language models, reinforcement‑learning agents, and inference pipelines that power the next generation of robo‑advisors, algorithmic trading, and customer‑service bots. |
| Stripe | Payment‑processing backbone | Uses its massive transaction volume and data lake to build autonomous billing, fraud‑prevention, and cash‑flow forecasting tools that work seamlessly across ecosystems. |
| Square (Block) | Retail‑to‑bank bridge | Combines point‑of‑sale hardware, small‑business banking, and instant cash‑out services with AI‑driven underwriting and liquidity management. |
| Revolut | Multi‑currency fintech bank | Leverages its global user base and open‑banking APIs to offer fully automated foreign‑exchange, crypto‑trading, and savings products that adapt in real time. |
Below is a synthesis of the article’s main points, organized by theme.
1. The AI‑automation wave is already underway
The author notes that AI has moved from “smart chatbots” to “smart financial engines.” 2025’s financial market is increasingly run on algorithms that can read news feeds, analyze market sentiment, and execute trades in milliseconds. The article cites several recent pilots: JPMorgan’s “J.P. Morgan AI” platform that now manages 20% of the firm’s $50 billion in retail assets, and a “real‑time liquidity‑matching” system that keeps a $15 trillion portfolio of corporate bonds fluid.
The writer stresses that automation will not just replace manual processes; it will create new products. “Think of portfolio‑optimisation that learns from every trade in the market, or a credit‑scoring model that updates itself every hour with transaction data from billions of users,” the piece explains. These developments create a winner‑takes‑most dynamic: firms that already own the underlying data and can monetize it will surge ahead.
2. OpenAI – the neural‑network engine behind everything
OpenAI’s GPT‑5 model (released in late 2024) and its newer, more efficient “GPT‑5‑Enterprise” variant have become the backbone of many financial services. The article points out that many banks have already adopted GPT‑5 to power conversational assistants that can explain complex financial products in plain language. In addition, OpenAI’s “AutoTrader” platform, built on RL‑HF (reinforcement‑learning from human feedback), has been piloted by a handful of wealth‑management firms. The article includes a link to a research whitepaper that shows AutoTrader outperforming human traders on risk‑adjusted returns by 12%.
Because OpenAI controls the best AI models, any company that wants to offer autonomous advisory, fraud detection, or market‑prediction services will need a partnership or licensing agreement with OpenAI. That’s why the article lists OpenAI as a top‑tier winner: it is not merely a supplier; it is the capability engine of the new financial ecosystem.
3. Stripe – the data‑hub for payment flows
Stripe’s unique advantage is its massive dataset of over 300 million merchants and 4 billion payment events per month. The article describes how Stripe has built an “AI‑Inference Layer” that automatically assigns risk scores, optimises settlement timing, and recommends dynamic pricing for merchants. For merchants, the payoff is a 7% reduction in average cost of capital and a 15% lift in conversion rates. For Stripe, the upside is a new revenue stream: “AI‑as‑a‑service” that charges per inference and per dollar of managed liquidity.
The piece also references an interview with Stripe’s head of AI, who says the company’s “AI‑First” strategy will drive the majority of its $6 billion in revenue growth for the next three years. In addition, the article links to a press release announcing the launch of “Stripe Liquidity AI,” a product that provides instant, automated funding to merchants based on real‑time sales data.
4. Square (Block) – banking meets retail
Square has long positioned itself as a “point‑of‑sale to bank” company. The article explains how Square’s latest AI initiative—Square AI‑Payments—now integrates with its Cash App, allowing small‑business owners to receive instant credit and liquidity with zero manual underwriting. Square’s AI model learns from the same transaction data that feeds its Square Capital product, enabling it to issue credit lines that are 20% cheaper than traditional banks.
A key point the author makes is that Square’s hardware network (the Square Reader, the Square Terminal, and the Square Register) creates a data moat. Each device streams data back to Square’s cloud, where AI models can identify spending patterns, predict cash‑flow gaps, and automatically push micro‑loans. The article cites a case study: a chain of five restaurants that received $1.5 million in AI‑driven credit within 24 hours, saving them from a $200 k cash‑flow crunch.
5. Revolut – the global fintech that can scale AI
Revolut’s advantage is its global footprint of 17 million users across 35 countries. The article notes that Revolut has rolled out an “AI‑Savings” feature that automatically moves spare change into high‑yield accounts, based on real‑time spending analytics. Revolut’s open‑banking API ecosystem also allows third‑party developers to build on its platform. The article links to a partnership announcement between Revolut and OpenAI that will bring GPT‑5‑based financial advice to every Revolut user.
Because Revolut already operates in foreign‑exchange, crypto‑trading, and insurance, it can layer AI over all of these services. The article states that Revolut’s AI‑powered trading engine now accounts for 35% of its total trading volume, a 3‑fold increase since 2024.
6. The “winner‑takes‑most” conclusion
The piece concludes that while many firms will adopt AI, the true winners will be those that own the data (Stripe, Square), the AI models (OpenAI), or the global reach (Revolut). The author warns that traditional banks that rely on legacy systems will be left behind unless they can integrate these new AI engines quickly. The article ends with a call to action: “Investors should look beyond the headline—focus on the data pipelines, AI infrastructure, and partner ecosystems that these four companies have built.”
Takeaway
By December 2025, AI financial automation is no longer a speculative concept; it is an operational reality reshaping the entire industry. The 247WallStreet article, through a mix of data‑driven case studies and insider interviews, argues that OpenAI, Stripe, Square, and Revolut will capture the lion’s share of the new market. If you’re looking to hedge on the AI wave, these four names merit a closer look.
Read the Full 24/7 Wall St Article at:
[ https://247wallst.com/investing/2025/12/18/if-ai-financial-automation-happens-it-is-then-these-four-companies-win/ ]
