DAVOS, Switzerland—Accenture PLC Chief Executive Julie Sweet delivered a stark message to global leaders gathered at the World Economic Forum: artificial intelligence isn’t just another technology wave—it’s poised to redefine daily life and corporate growth. In a CNBC Television interview on the sidelines of the annual meeting, Ms. Sweet highlighted findings from Accenture’s latest survey of 3,650 C-suite executives and 3,350 employees at the world’s largest companies, revealing that 78% of top leaders view AI as the paramount driver of expansion.

“The most important insight from that report is that 78% of C-suite leaders believe that AI is going to be most important in growth,” Ms. Sweet told CNBC’s Worldwide Exchange. She dismissed bubble fears echoed by Microsoft’s Satya Nadella, insisting adoption is tangible, particularly in enterprises like Farmer Company, where AI accelerates medicine delivery to physicians. This optimism comes amid Davos discussions shifting from AI hype to return-on-investment scrutiny, as noted by Fortune.

Enterprise Excitement Builds on Real Results

Ms. Sweet emphasized AI’s permeation into everyday interactions, from electronic medical records freeing nurses for substantive patient talks to transformed banking experiences. “It’s going to change how we all live day to day,” she said, extending beyond routine tasks to breakthroughs in disease treatment and new materials. Accenture’s data underscores this shift, with C-suite priorities pivoting from experimentation to scaling, mirroring broader trends in a Deloitte survey showing 50% broader workforce AI access.

Yet adoption remains uneven. While big tech surges ahead, Ms. Sweet cautioned that without enterprise-wide uptake—especially beyond wealthy nations—vast infrastructure investments risk underutilization, echoing Mr. Nadella’s warnings. Accenture’s work with clients demonstrates progress: Farmer Company’s faster physician deliveries exemplify operational gains fueling CEO enthusiasm. Posts on X from industry observers, including echoes of Ms. Sweet’s remarks, reflect mounting sentiment that growth potential outweighs job displacement fears.

Regulated Sectors Demand Tech Fluency

In highly regulated fields like healthcare and finance, leaders must grasp AI fundamentals to navigate constraints, Ms. Sweet stressed. “If you take a regulated [industry] [leaders] don’t understand AI, then you’re going to have limits in all regulated industries,” she told CNBC. This fluency gap differentiates AI from prior innovations, requiring executives and policymakers to make informed choices now. Accenture’s push aligns with its strategy, as CNBC reported the firm plans to exit employees unable to reskill for AI amid a $865 million reinvention.

Davos conversations, per Fortune, reveal persistent hurdles: PwC’s global chairman noted 56% of leaders derive no value from AI, urging a return to execution basics. EY’s CEO survey of 1,200 leaders across 21 countries shows doubled-down bets on AI for growth despite economic uncertainty, with EY highlighting transformation and M&A synergies.

Workforce Reshaping Accelerates

Accenture’s internal overhaul signals broader workforce impacts. Ms. Sweet has positioned the consultancy to profit from AI, reversing decades-old work models while expecting higher headcount through reskilling, as detailed in Fortune. The firm now deploys AI agents advising executives, a capability Ms. Sweet touted in an Axios piece, with billions poured into streamlining operations.

Enterprise examples abound. Beyond Farmer, Accenture partners with Palantir on sovereign AI data centers for EMEA governments, per recent StockTitan reports. CIO Dive notes most C-suites plan AI investment hikes, undeterred by bubble talk, with nearly half committed even in market crashes, based on CIO Dive analysis of Accenture data.

From Pilots to Productivity Payoff

Ms. Sweet warned of AI project pitfalls in an August Fortune interview, flagging three red flags for CEOs: clinging to old playbooks. Her TIME dialogue underscored trust’s role, advocating new workbenches blending human-AI collaboration, as in TIME. Axios detailed the ‘slow, hard AI’ phase, with Accenture expecting years for full enterprise maturity.

Global CEOs express confidence in firm-level prospects over macroeconomic gloom, per EY. Deloitte’s findings affirm scaling momentum, positioning organizations at AI’s untapped edge. Ms. Sweet’s Davos push—that growth trumps hype—resonates as firms like Accenture lead by example, reskilling at scale while exiting laggards.

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