AI trends 2026: From everyday tool to strategic operating system

«If the past few years have been about understanding what AI can do, then 2026 will be about observing what happens when it is inextricably linked to the way we work and live. Companies in Europe, the Middle East and Africa are no longer concerned with the question of whether they should use AI, but with how they will remain successful in a world where AI influences every decision and every process.»

Multimodal AI is becoming the new normal

The way in which people work with technology has changed significantly in recent years. For a long time, working with digital systems was characterized by clearly defined forms of operation. Users switched between individual applications, controlled processes via keyboard and mouse and oriented themselves to fixed user interfaces. These boundaries are now beginning to dissolve.

Modern business software is developing into multimodal systems in which voice, text, images, clicks and video merge into an integrated working environment. Communication with technology is increasingly geared towards how people think, speak and gather information.

The consequences of this can be seen immediately in day-to-day work. Teams can set up projects in conversation, while AI structures, documents and visualizes content in parallel. Service teams switch seamlessly between chat and voice interactions and AI anticipates the next steps and provides contextual information. Analyses can also emerge from the interaction and can be visually deepened without media breaks, for example.

All of this is changing the relationship between people and technology. AI is not an isolated tool, as it can be seamlessly integrated into existing workflows.

Governance versus speed becomes a question of leadership

The more natural AI becomes in everyday corporate life, the more a classic management question becomes the focus of attention: how can the enormous speed of development and the issue of reliability be reconciled? For many managers, it is therefore less about technology integration and more about responsibility.

With the EU AI Act this question becomes concrete and anchors the topic of regulation in business reality. But rules alone do not create responsible AI. The decisive factor is how companies deal with them in their day-to-day work. What is needed are clear guidelines that provide orientation and do not slow down decision-making processes.

Successful organizations embed governance in their work processes. Responsibilities, transparency and clear decision-making channels are not added retrospectively, but are integrated from the outset and flow automatically into existing processes. In this way, risks can be limited without losing innovative strength.

For management, this means a change of perspective. Governance should not be seen as an obstacle, but as an instrument of active control. Clear rules create trust, both internally and externally, and give managers the security they need to remain capable of acting.

Agentic AI demands new responsibility from CIOs

2026 will also be the year in which agent-based AI platforms make their way into the corporate landscape across the board. This refers to networks of intelligent agents that coordinate tasks independently, control workflows and prepare decisions.

This development increases efficiency and speed, but also brings with it new risks. The familiar problem of shadow IT is being replaced by a new phenomenon: shadow AI. Models and agents that are created outside of defined governance structures can cause security, data protection and compliance risks.

As technological innovation often progresses faster than regulation, CIOs and board members must act with foresight. What is needed is a uniform platform architecture that brings together governance, data management and decision-making logic from the outset. This is the only way to make AI activities visible, coordinate and control them across all areas of the company.

AI becomes part of the work - not just an additional tool

Perhaps the biggest change concerns everyday working life itself. In 2026, AI will no longer stand alongside work processes, but will be an integral part of daily work. What began as an additional level of efficiency will have developed into operational intelligence that supports decisions, speeds up processes and focuses on value-adding activities.

This development does not mean simply supplementing existing applications with AI. Rather, it is crucial to identify the right AI application for each use case and to orchestrate AI agents in such a way that they work together in a task-specific manner. Context, industry knowledge and individual working methods play a key role here.

AstraZeneca provides an illustrative example from the life sciences industry. There, all levels of work are gradually being connected with AI - from research and operational processes to onboarding. This frees up capacities, shortens research cycles and accelerates the market launch of vital therapies. The company is already saving over 30,000 working hours a year: Tasks that used to take up to 30 minutes are now completed in seconds, speeding up research and decision-making throughout the company.

For employees, this development is increasingly becoming a personal one. In the future, talented individuals who can work confidently with AI, control their own agents, give precise instructions and critically assess automated results will be in particularly high demand. Many organizations are already beginning to embed AI skills as an integral part of performance assessment and development.

This form of collaboration will be a matter of course for new generations of specialists. Companies must therefore clearly define how collaboration between humans and AI will be designed and established as a new working environment. 

Outlook

2026 will be the year of decision. AI will lose its project status and become a matter of course for companies. The difference will come from the way in which companies reorganize work, management and responsibility. Multimodal interaction, integrated governance and agentic systems will interlock, work together and amplify each other's impact.

Companies that see AI as part of their operational core gain speed, transparency and room for maneuver. On the other hand, those who cling to isolated solutions or add governance risk friction losses and a loss of control. The question is no longer how advanced AI is used, but how consistently it is integrated into everyday working life.

Source: ServiceNow