TMT Leaders Face AI Value Paradox Amid Rapid Industry Convergence

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.

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.