HCLSoftware tech trends 2026: AI and autonomy in enterprises

Autonomous intelligence is changing how enterprises operate, influencing digital processes and governance approaches.

HCLSoftware has revealed its latest Tech Trends 2026 report, marking a shift in the digital landscape towards autonomous intelligence. The study, rooted in eight months of research and input from 173 enterprise leaders, highlights the transformation influence of AI-driven systems.

Key Takeaways

  • AI agents and autonomous systems have emerged as global frontrunners, with 76% of leaders prioritising these systems. Meanwhile, 80% of enterprises are in various stages of implementation. However, governance remains underdeveloped for a quarter of the respondents.
  • Low-Code/No-Code AI is anticipated to achieve full-scale adoption within the next 18 months, with the 'Service-as-Software' (SaS) format challenging the traditional SaaS environment.
  • Issues surrounding ethics and technical infrastructure are increasingly being addressed at the board level. Already, 79% of companies have active Responsible AI frameworks, 88% are examining the shift towards post-quantum cryptography, and 60% foresee readiness for 6G within three years.

AI's role is expanding beyond simple assistance to fully autonomous agents capable of executing tasks end-to-end. In this evolving landscape, digital sovereignty becomes crucial, offering a control layer that safeguards compliance, data integrity, and stakeholder trust globally. Organisations embracing governance-by-design will scale with confidence, unlike those that may find themselves grappling with operational disarray and reduced accountability.

According to the report, the primary challenge isn't in deploying autonomy but rather in its design. Effective integration across experiences, data, and operations is important for ensuring autonomy becomes a consistent and reliable system feature rather than merely isolated instances. HCLSoftware's XDO (Experience, Data, and Operations) blueprint aims to provide a cohesive strategy to develop systems that are not only intelligent but also governed, autonomous, and efficient.

Kalyan Kumar, Chief Product Officer at HCLSoftware, highlighted this by stating that enterprises will redefine themselves through technology-enabled decision-making and self-governance. The coming years are pivotal for leaders to cultivate autonomously resilient and sovereign operational models.

Focusing on the future, the 2030 Trend Matrix illustrates the current convergence of technologies into industry-defining frameworks. Leaders are advised to build foundations in governance, talent, and architecture to effectively scale autonomy and orchestration while retaining control and trust. HCLSoftware predicts that:

  • Autonomous cores will become mainstream, optimising decisions across sales, supply, and resources while cutting costs and carbon footprints.
  • The workspace will expand, embracing spatial operations with XR co-piloted environments and virtual reality sites for training and executing tasks.
  • Data governance will lead outcomes, creating a compliant, explainable AI architecture that connects sustainability and health through comprehensive insight platforms.
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