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Finance leaders are reconsidering how junior employees develop the judgment required for senior roles as artificial intelligence (AI) increasingly performs entry-level modeling, accounting, and analytical work. Teikametrics CFO Brian Beaupre said AI fluency is becoming a standard qualification for graduates, but relying on the technology too early could weaken the critical-thinking skills traditionally developed through solving difficult problems and learning from mistakes. He is placing less emphasis on technical proficiency when evaluating candidates and more on how they have handled adversity, uncertainty, and failure. Industry executives also argue that experienced professionals remain essential for reviewing AI-generated results, making complex judgment calls, and taking accountability for financial work. Beaupre is pairing experienced employees with AI-comfortable newer hires so they can exchange institutional knowledge and technology skills, while emphasizing that the long-term differentiator will be developing professionals who can identify important problems, recognize what they do not know, and earn trust as business partners.
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