"According to Bill Briggs, Deloitte's chief technology officer, as we move from AI experimentation to impact/value at scale, that fear is driving a lopsided investment strategy where companies are pouring 93% of their AI budget into technology and only 7% into the people expected to use it. Briggs highlighted this "93-7" split as something that really surprised him-and a critical error. Organizations are obsessing over the "ingredients"-the models, chips, and software-while ignoring the "recipe," which includes the culture, workflow, and training required to make the technology work."
"Fortune was talking to Briggs at Deloitte's New York City office, braving the holiday-shopping crowds at 30 Rockefeller Center, to discuss the firm's 17th annual Tech Trends report, an initiative that Briggs has been a part of for nearly two decades. Back then, Briggs recalled, he was a senior manager, having been hired straight out of Notre Dame as part of a wide effort to bring a tech flair to what was then mostly a tax and audit firm."
A corporate anxiety about buyer's remorse is driving rapid AI adoption and a skewed spending pattern that assigns roughly 93% of AI budgets to technology and 7% to people. Organizations focus heavily on models, chips, and software while neglecting the culture, workflows, and training needed to realize impact at scale. This technology-first approach risks failing to convert infrastructure investment into business value. Internal efforts to build technical capability and formal CTO functions emerged from consulting engagements and the creation of recurring technology trend initiatives to guide long-term strategy and capability development.
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