The annual Voice of Our Clients report, which surveyed business and technology executives, identifies a critical disconnect between ambition and execution. Although generative AI implementation has surged by 37 percentage points over the last two years, organizational agility remains low; only 23% of leaders currently classify their operating models as highly agile. Legacy infrastructure continues to act as a primary anchor, with 45% of executives citing aging systems as a significant barrier to their digital transformation goals.
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U.S. Firms Push AI Adoption Despite Persistent Infrastructure Gaps
While 58% of American organizations now integrate artificial intelligence into core business processes, a wide readiness gap persists. New research from CGI reveals that only 36% of these companies possess an enterprise-wide AI strategy, leaving many struggling to balance rapid technological acceleration with outdated legacy systems and talent shortages.

Vijay Srinivasan, President of U.S. Commercial and State Government operations at CGI, noted that the industry is shifting from mere exploration toward measurable outcomes. Success now hinges on shoring up data foundations and security protocols before attempting to scale. Despite the focus on innovation, geopolitical uncertainty and economic constraints are driving 40% of firms to prioritize data sovereignty, while cybersecurity and cost management remain the dominant factors pushing cloud adoption. To bridge these gaps, many organizations are increasingly turning to managed services and external strategic partnerships to compensate for internal talent deficits.
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