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Industry Insights·December 11, 2025·3 min read

Tech Trends Shaping 2026: What NewCo Sees in Capgemini's Latest TechnoVision Insights

Tech Trends Shaping 2026: What NewCo Sees in Capgemini's Latest TechnoVision Insights

Capgemini's TechnoVision 2026 spotlights the technologies expected to reach a breakthrough moment this year. AI is moving from experimentation to enterprise-wide deployment — and the implications for digital trust infrastructure are significant.

Paris, December 9, 2025 — Capgemini has released its TechnoVision Top 5 Tech Trends to Watch in 2026, spotlighting the technologies expected to reach a breakthrough moment in the coming year. While AI and generative AI continue to dominate the innovation agenda, their influence is now extending far beyond experimentation, reshaping software development, cloud strategies, and enterprise operations.

For businesses navigating rapid digital transformation, these insights offer a clear message: 2026 will be a defining year for scaling intelligent, resilient, and future-ready systems.

AI Reaches Its "Moment of Truth"

AI has accelerated faster than many organisations can deploy it — resulting in years of pilots that often lacked measurable impact. Capgemini's analysis suggests that in 2026, businesses will shift toward enterprise-wide AI, grounded in strong data foundations and "Human–AI chemistry." This means moving from proof-of-concept to proof-of-impact:

  • AI integrated into core processes
  • Clear governance and trust mechanisms
  • Measurable business outcomes
  • Scalable architectures built for long-term transformation

AI Is Reshaping Software Itself

"Software has eaten the world, and now AI is eating software." Capgemini predicts that development cycles will shift from manual coding to intent-driven development, where humans define objectives while AI generates and maintains parts of the software lifecycle. This evolution accelerates delivery but also increases the need for:

  • Strong oversight
  • Governance frameworks
  • Reskilled development teams
  • AI-driven system orchestration

Cloud 3.0: The Backbone of AI

Cloud is entering its next evolution. With AI workloads demanding unprecedented performance and low latency, businesses will turn to hybrid, private, multi-cloud, edge, and sovereign cloud models. Cloud 3.0 is not about choosing a platform — it is about orchestrating an ecosystem. Key drivers include:

  • Resilience and redundancy
  • Geopolitical pressures
  • Outages and supply chain risks
  • The need for sovereignty and portability
  • Scaling AI and agentic workloads

The Rise of Intelligent Operations

Enterprise systems are evolving into living, self-improving operational engines. With agentic AI entering the mainstream, businesses can orchestrate entire value chains instead of isolated processes. This shift enables:

  • End-to-end automation
  • Human–AI co-steering
  • Dynamic workflows across supply chain, finance, HR, and CX
  • Proactive operations instead of reactive ones

Tech Sovereignty: The Borderless Paradox

As geopolitical uncertainty grows, nations and organisations are prioritising control over critical technologies. Yet full autonomy is impossible — leading to a new paradigm of resilient interdependence. Emerging developments include:

  • Sovereign cloud solutions
  • Regional AI models
  • Open platforms
  • New chip ecosystems
  • Diversified suppliers and risk mitigation strategies
NEWCO S.A.

Published by NEWCO S.A.December 11, 2025

3 min read · 422 words

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