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Sinch research: 60% of executives are confident their AI programs are succeeding. Only 43% of the teams delivering them agreeSTOCKHOLM, July 20, 2026 /PRNewswire/ -- Sinch AB (publ) today announced findings from its global research report, "The AI Production Paradox". The study reveals a significant disconnect between executive confidence and operational reality as enterprises scale AI for customer communications. While 60% of C-suite executives say they are very confident in their organization's AI programs, only 43% of directors and managers responsible for implementing and operating those programs share that confidence. The survey findings help explain why many organizations may struggle to move AI for customer communications from pilot projects to reliable production deployments. This is a familiar challenge for Sinch as enterprises scale conversational AI across messaging, voice, email, and other customer channels. Overview of findings
"For years, the AI conversation has largely focused on whether organizations can get AI into production. Our research suggests another challenge is emerging: making sure leadership and operational teams are working from the same reality," said Sophie Cheng, Chief Marketing Officer at Sinch. "Executives see investment, deployment, and strategic progress. The teams responsible for delivering AI for customer communications are more likely to see the operational challenges, from governance to communications infrastructure, that ultimately determine whether those initiatives succeed in the real world." The research suggests that the disconnect stems from differing day-to-day experiences rather than strategic priorities. While executives track investment and deployment, implementation teams are more likely to confront the governance, reliability, and communications infrastructure challenges that determine whether AI for customer communications succeeds in production. "The teams closest to AI deployments experience these operational challenges firsthand. When infrastructure falls short, they're the ones responsible for keeping systems running despite those limitations," said Daniel Morris, Chief Product Officer at Sinch. "At Sinch, we believe this reveals a deeper reality. The challenge is more about production readiness than AI capability. We're focused on building the infrastructure layer that helps teams move from experimentation to trusted, reliable, production-scale AI systems for communication." One of the study's clearest findings was that communications infrastructure satisfaction was the strongest predictor of confidence in AI deployment. Organizations with stronger infrastructure foundations consistently reported greater confidence in scaling AI safely and effectively, outperforming factors such as governance maturity, deployment experience, and investment levels. Full Report: The AI Production Paradox Methodology For more information, please contact: Frerik Hallstan Shannon Hames Mia Nordlander This information was brought to you by Cision http://news.cision.com The following files are available for download:
SOURCE Sinch AB
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