New research from Economist Enterprise, supported by HCLTech, surveyed over 200 C-suite leaders across the U.S. and Europe to examine the state of AI in the telecommunications, media, and technology sectors. The findings suggest that while AI is successfully accelerating convergence across these industries, creating new competitive dynamics, the transition from experimentation to scaled adoption remains fraught with operational deficiencies. Despite the enthusiasm for AI-driven growth, companies are struggling to align their internal capabilities with their strategic ambitions.
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TMT Leaders Face AI Value Paradox Amid Rapid Industry Convergence
While 91% of TMT executives claim their AI investments are yielding results, only one-third of organizations can actually quantify the business value produced. This disconnect highlights a growing execution gap as traditional industry boundaries dissolve under the pressure of rapid, yet often unmeasured, artificial intelligence deployment.
Key execution hurdles include a profound lack of preparation regarding human capital and oversight. Although executives identify talent upskilling as their primary future investment priority, only 20% of firms have established formal strategies for AI-related hiring or training. Furthermore, governance remains an afterthought; a mere 17% of respondents report that active governance structures are currently shaping their AI system operations. According to Charlotte Bullard Davies of Economist Enterprise, the path to sustained growth requires a shift toward disciplined governance and ecosystem collaboration. HCLTech’s Chief Growth Officer, Anil Ganjoo, noted that the next phase of competitive advantage will belong to firms that move beyond mere experimentation toward full-scale industrialization of AI, ensuring that technology deployments translate into verifiable business impact.
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