Market & Competitive Intelligence Special Reports and Analysis

AI promises productivity improvements by off-loading repeatable, mundane tasks to algorithms and robots. If an IT services company or consultancy can do things faster with AI and automation, clients can reasonably expect their time-and-materials bill will decline. Accenture, Deloitte, Infosys and all their peers now find themselves — or, really, have found themselves since at least mid-2023 — challenged with managing the cannibalization that their AI investments may be bringing to their traditional IT services.

HCLTech’s strengths lie in its engineering DNA; entrenched and well-managed client relationships; and extensive alliance partnerships, which include critical technology players and even HCLTech competitors. Playing to those strengths has been one element separating HCLTech from IT services peers in the last few years, especially with respect to profitability. With a suite of AI Advisory Services, the company continues to follow its proven strategy: focus on core values, deliver relentlessly, partner smartly, and expand within an existing client base.

Enterprises are under pressure to do more with less. Infrastructure estates are becoming more complex, user expectations are rising and support organizations are being asked to deliver faster, more personalized and more consistent support across varying geographies, device types and service channels. TBR’s 2026 Infrastructure Strategy survey reflects this operational burden, with 66% of respondents agreeing or strongly agreeing that most of their team’s time is spent trying to keep up with day-to-day tasks. Additionally, according to respondents, shortages of skilled IT staff remain a major compounding constraint. The result is a widening gap between what customers expect from support services and what traditional operating models can consistently deliver.