HCLTech-backed research shows high AI confidence in TMT but limited business impact
HCLTech-supported research reveals 91% of TMT organizations believe AI investments yield results, but only a third can measure business value. An execution gap exists, with only 20% having AI upskilling strategies. The report highlights the need to move beyond experimentation to industrialization for measurable impact.
The research, supported by HCLTech, provides insights into AI adoption trends and challenges within the TMT industry. This information can influence strategic decisions for companies in this sector and highlight areas where HCLTech can offer solutions, impacting medium-term business strategies.
The report presents findings on AI adoption in the TMT sector, highlighting both optimism and challenges. While it indicates high confidence in AI, it also points out limitations in measuring business impact and execution gaps, making the overall sentiment neutral.
HCL Technologies Limited (HCLTech) has announced the release of a new research report, "The Value Edge: Powering the Next Era of TMT," conducted by Economist Enterprise and supported by HCLTech. The report examines the impact of Artificial Intelligence (AI) on the Telecommunications, Media, and Technology (TMT) industries.
Based on insights from over 200 C-suite executives in the US and Europe, the research indicates that AI is accelerating convergence within the TMT sector, prompting companies to reconsider traditional industry boundaries. A significant finding is the AI value paradox: while 91% of organizations believe their AI investments are yielding results, only one-third can accurately measure the business value generated. This raises questions about how organizations can fully leverage AI without consistent quantification of its benefits.
The report also points to an execution gap in scaling AI adoption. Talent upskilling is identified as the top future AI investment priority, yet only 20% of organizations have a defined strategy for AI upskilling or hiring. Furthermore, despite rapid AI deployment, only 17% report that governance actively shapes their AI systems' operations.
Charlotte Bullard Davies from Economist Enterprise noted that industry leaders recognize AI's potential for new revenue models and stronger customer relationships. Anil Ganjoo from HCLTech emphasized that the next era of growth will favor organizations that move beyond AI experimentation towards industrialization, focusing on measurable business impact and differentiated experiences.
The report is available at https://uat.hcltech.com/value-edge-powering-next-era-tmt. HCLTech, a global technology company with over 223,000 employees across 60 countries, reported consolidated revenues of $14.8 billion for the 12 months ending June 2026.
What to do with a filing like this
HCL Technologies Limited filed this with the NSE as a statutory disclosure, categorised under other company updates. It is a primary document, not a recommendation, and the desk marks it medium impact: worth reading, rarely worth acting on by itself.
That call is the part a filing cannot make for you. On RealCase, SEBI-registered research analysts and investment advisers read announcements like this one and turn the ones that matter into actions inside their model portfolios: a change in weight, a hold, or nothing at all. You are not left working out which of the roughly 250 filings published each day needs a response. The portfolio you follow is updated when a filing actually warrants it, with the reason written down.
See the model portfoliosA plain-language summary of a public exchange filing by HCL Technologies Limited. Read the original for the full detail.