AI Coding Skills Now Expected in Finance Hiring
OpenAI's CFO Sarah Friar said finance professionals without AI tool experience will struggle to compete for jobs, comparing the shift to the baseline expectation of Excel proficiency decades ago.
"I would never hire a finance person who didn't know how to use Excel, and I probably wouldn't hire a finance person today that doesn't know how to use a tool like Codex," Friar said at the Liquidity Summit 2026 this week.
Codex is OpenAI's AI coding agent that automates software and technical tasks through natural-language prompts. Knowledge workers now represent about 20% of Codex users and are growing more than three times faster than other user groups.
The hiring shift reflects broader industry movement. Deloitte's Finance Trends 2026 survey of more than 1,300 global finance leaders ranked AI and automation skills as the top priority for sourcing new talent-ahead of traditional competencies like regulatory compliance and cost management.
As AI tools become more capable, the ability to use them effectively will define which finance professionals advance and which fall behind. Organizations are already adjusting their hiring criteria to match this reality.
Compute Shortage Extends Beyond Chips
Friar also addressed a major constraint limiting AI deployment: computing power. She described demand as rising up a "vertical wall" that continues to outpace supply.
"Compute is a very scarce resource at the moment," Friar said. Even with aggressive infrastructure investment, OpenAI expects compute to remain tight through 2026.
The shortage extends far beyond processors. Energy supply, land availability, permitting speed, memory production, talent pipelines, and community relationships all affect whether AI infrastructure can scale quickly enough.
OpenAI previously faced criticism for aggressive compute purchases ahead of demand. Friar defended the strategy, saying the company would still lack sufficient capacity in 2026 without those early investments.
Trust matters too, Friar said. "It's really important there on the trust side, that we don't leave communities behind."
For finance professionals, the practical takeaway is clear: AI competency is shifting from nice-to-have to essential. Explore AI for Finance resources to build these skills, or consider the AI Learning Path for CFOs if you're in a leadership role.
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