CommBank opens San Francisco technology hub to accelerate AI learning for Australian teams

Commonwealth Bank opened a San Francisco hub this month to embed engineering teams with AI partners including OpenAI and Anthropic. Engineers do two-week residencies, then return to scale what they learned across CommBank's 10,000-plus technologists.

Categorized in: AI News Product Development
Published on: May 12, 2026
CommBank opens San Francisco technology hub to accelerate AI learning for Australian teams

CommBank opens San Francisco hub to accelerate AI adoption across 10,000 engineers

Commonwealth Bank has opened a San Francisco Technology Hub to embed Australian engineering teams with frontier AI labs including OpenAI, AWS, Anthropic and Microsoft. The hub, which opened this month, follows CommBank's Seattle location launched in March 2025 and aims to bring AI learnings back to Australia at scale.

More than 70% of CommBank's engineering teams already use AI tools. The San Francisco hub is designed to accelerate that adoption across the bank's 10,000-plus technologists by having teams work directly with AI model creators.

How the hub works

CommBank sends squads of engineers, product owners and data scientists to San Francisco for two-week residencies. During that time, they collaborate with strategic partners on real problems and observe how leading companies operate.

The goal is straightforward: teams return to Australia as "force multipliers" who can teach others what they learned. Martha McKeen, CommBank's lead for AI-powered engineering and international tech hubs, said the model treats technologists as knowledge carriers. "We bring our best technologists from Australia to embed really deeply with our strategic partners," she said. "The goal is to have them take away all the learning they can and bring that back to Australia to scale and compound that capability."

George Beniac, a crew lead in core foundations, said working with OpenAI changed how his squad thinks about AI across the full product lifecycle-from planning through code development to deployment. Henry Chan, a product owner, noted that the San Francisco environment itself is a teaching tool. "Very quickly, from the moment you land in San Francisco you notice all the billboards are AI-related," he said. "Your brain automatically switches."

What product teams are learning

Product development teams are studying how other companies have changed their delivery processes to move faster. One consistent insight: teams need freedom to experiment. Chan said prototyping has become the way AI allows people to translate ideas into working use cases. "Only by giving team members time to explore a prototype will we be able to get the next best idea," he said.

CommBank is also focusing on AI-powered engineering tools that handle manual tasks, freeing engineers to focus on high-value work like system design and product decisions. McKeen said these tools relieve "the toil and burden of manual tasks and allows them to focus on what matters most."

Why proximity matters

Dom Grillo, global head of technical success at OpenAI, said physical proximity accelerates learning for both organizations. "Proximity sets the pace," he said. "The fact that we're next door to each other now and that we have the ability to deeply share what's happening with our roadmap and current initiatives, creates a real flywheel of feedback."

CommBank CEO Matt Comyn framed the hub as part of the bank's strategy to work at the frontier of technology. "We're investing significantly in our people and capability, because attracting and supporting the best talent means giving them access to the best tools, expertise and opportunities globally," he said.

What comes next

Grillo said 2026 will be the year of agent democratization. Agentic AI technology will reduce the engineering effort needed to get new systems operational, he said, meaning organizations won't need large technical teams just to deploy AI-powered solutions.

For product development teams, the shift is already underway. CommBank's experience suggests the competitive advantage will go to organizations that can move from experimentation to deployment faster-and that requires both the right tools and people trained to use them at scale.

For teams looking to build similar capability, consider exploring AI for Product Managers training to understand how AI is reshaping product delivery, or Generative AI and LLM courses to deepen technical knowledge of the models driving these changes.


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