NEW YORK — Two more big banks have announced major efforts to place artificial intelligence at the center of their operations as part of a broader effort to modernize the firm and drive long-term growth.
As the CU Daily has been reporting, the initiatives are only the latest among the biggest banks to announce sweeping changes due to AI, including in employment.
Goldman Sachs said its strategy, outlined in the bank’s 2025 shareholder letter and reported by BankingExchange.com, rebrands its operating model as “One Goldman Sachs 3.0,” which the firm said will be “propelled by AI.” The initiative reflects a shift away from incremental technology upgrades toward a more comprehensive transformation of how the bank operates.
Rather than focusing solely on updating platforms, Goldman Sachs said it is taking a “front-to-back” approach, rethinking team structures, decision-making processes and the use of data across the organization, according to BankingExchange.com.
The Expectation
Central to the strategy is the expectation that rapidly advancing AI capabilities will generate significant productivity gains. The bank said it plans to reinvest those gains to enhance client offerings, improve profitability and strengthen operational resilience.
The firm identified multiple areas it believes are well-suited for AI integration, as part of a broader effort to scale operations more efficiently while improving the customer experience.
The push underscores a growing trend among large financial institutions to embed AI more deeply into core business functions, as competition intensifies and firms seek to balance innovation with efficiency.
Goldman Sachs’ approach signals an effort to fundamentally reshape its operating model, positioning AI not just as a tool for automation, but as a key driver of strategic transformation, according to BankingExchange.com.
RBC Set $1 Billion Target for AI Generated Value
Separately, Royal Bank of Canada reported it is deploying artificial intelligence at the operational core of its business, across developer workflows, capital markets infrastructure and enterprise decision-making, with a target of $1-billion in AI-generated enterprise value by 2027.
RBC said it has deployed generative and agentic AI tools across its developer population to compress iteration cycles, reduce time spent on repetitive tasks and accelerate product delivery. AI coding assistants help engineers move from idea to shipped feature faster, while workflow automation handles work that previously consumed analyst and developer hours, according to the bank.
27,000 Workers Using AI Assistant
Nearly 27,000 RBC employees now use RBC Assist, the bank’s internal AI assistant, as part of daily workflows. The internal AI infrastructure supporting these deployments is RBC Lumina, the bank’s enterprise data and AI platform, which runs on one of the largest private-sector graphics processing unit clusters in Canada, second only to the federal government’s.
According to the bank, RBC Capital Markets has produced the bank’s most operationally measurable AI outcomes through its Aiden platform, developed in partnership with Borealis AI and built on Nvidia AI Enterprise.
The Aiden Research platform deploys specialized AI agents across the Global Research division, automating earnings content generation, call summarization, data catalog analysis and real-time filing access. The effect on analyst capacity is direct: Aiden Research is designed to allow a single analyst to cover up to 50 companies rather than the traditional 15, RBC said.
