In 2026, AI will be deployed massively: companies and agents collaborate under reinforced governance, with quality data at the heart of success and the rise of sovereign clouds.
The market slowdown is a myth: in 2026, AI adoption will continue to grow at a steady pace. Demand for generative AI and agentic AI will continue to be strongly driven, as companies move from experimentation to deployment, trying to satisfy user appetite while seeking measurable ROI.
Here is a major challenge to overcome: connecting AI agents to data and business context, a prerequisite for making these systems truly useful. Many organizations have demonstrated their capabilities in agentic AI, but now they must transform them into production-ready systems, while overcoming persistent barriers related to data access, governance, security, and permissions.
What other priority projects lie ahead for business and technology leaders as AI adoption continues to accelerate?
The definition of responsible AI will continue to evolve
In 2026, as AI systems become increasingly complex, responsible AI will need to consider not only model bias and objectivity, but also end-to-end accountability, encompassing data processing and system behavior.
For companies adopting agentic AI, this means establishing stronger governance frameworks, similar to security and compliance controls in traditional software purchasing. Effective management of these systems will require new capabilities such as agent registries, observability, and versioning of entire agentic workflows.
While public models will continue to dominate in 2026, business-specific adaptation through fine-tuning and model distillation will rapidly accelerate. Voice AI is also expected to gain popularity to become one of the most transformative growth areas in the coming year. This is the royal road for anyone wishing to use AI.
Organizations become 100% agentic
By 2026, every organization will begin to develop its own “digital workforce,” that is, fleets of agents trained on proprietary data, governed by corporate policies, and monitored like employees. Thus, over the next decade, human collaborators will work hand in hand with digital collaborators, not to replace them, but to complement them, in order to gain efficiency and productivity.
To do this, a service will be created responsible for ensuring the compliance, alignment and efficiency of these agents, like an HR service dedicated to agents. While agentic AI will primarily be used to enhance human capabilities, the real transformation will be cultural, as businesses learn to manage intelligence, not just deploy it.
Sovereign AI becomes reality
In 2025, governments and industries alike have started to think about how to control their data and AI models. In 2026, they will move from reflection to action, as sovereign AI becomes a reality in enterprise architectures. A nation with a powerful sovereign AI could be recognized in the future, as France is today for its wine and gastronomy.
Europe, like other regions of the world, is already working to define national clouds dedicated to AI, a trend that will accelerate. 2026 will therefore see the convergence of public clouds, sovereign clouds and private data centers, managed by unified policy engines that ensure compliance, transparency and interoperability.
So, in 2026, the success of AI will not depend on the number of models deployed, but on the quality and integrity of the data that supports them. The next generation of data platforms will need to enable explainability, compliance and trust natively, transforming what was once a back-office data infrastructure into a strategic AI backbone.
