This week, Barcelona will once again host Gartner IT Symposium/Xpo, Europe’s largest gathering of CIOs and technology leaders. Under the theme “Agents of Change: Leading Through Intelligence”, the event highlights how artificial intelligence is reshaping the enterprise landscape. For the robotics and automation community, the message from Gartner is clear: AI has moved beyond experimentation. The challenge now is to turn it into measurable value, governed ecosystems, and intelligent collaboration between humans, robots, and AI agents.
At the opening keynote, Gartner will address what it calls the growing “value divide” in enterprise AI. While many organisations have invested in AI, a majority still see limited return. Only a minority succeed in scaling projects into tangible business outcomes. According to Gartner, this divide is not caused by a lack of technology, but by an absence of operational maturity and leadership focus. AI has become a strategic capability, but too often remains confined to pilots or isolated innovation programs.
This observation mirrors findings Gartner has shared throughout the year. In its recent Hype Cycle for Artificial Intelligence, the research firm noted that “AI agents” and “AI-ready data” are now among the fastest-moving technologies, but also among the least understood. The shift from generative AI toward more autonomous, context-aware systems is underway. Where generative AI produced text, images, and code, the next step is about AI systems that act—collaborating across processes, analysing intent, and coordinating with both people and machines.
The concept of AI agents also marks the convergence between artificial intelligence and robotics. Automation increasingly depends on systems that can interpret, decide, and interact, rather than execute pre-programmed tasks. This makes AI a natural extension of robotic capabilities. Gartner analysts emphasise that success will depend on data quality and governance. Without clean, contextualised and accessible data, organisations cannot achieve the level of autonomy that AI-driven robotics requires.
Another central topic at this year’s Symposium is the rise of sovereign AI. Especially in regulated sectors such as government, defence, energy, and healthcare, AI must operate within defined national or organisational boundaries. Gartner predicts that sovereign AI will become a foundation for trust and compliance in automation. For robotics, this means that data residency, model transparency, and interoperability with local infrastructure are no longer optional—they are essential design principles.
Leadership and governance form the other key layers of Gartner’s AI vision. The firm often refers to AI as a “technology sandwich” with three layers: enabling data and infrastructure, responsible AI operations, and business value delivery. The Barcelona sessions underline that leadership sits on top of all these layers. CIOs are expected to build not only architectures, but cultures—where experimentation is encouraged but guardrails are clear. This requires an adaptive mindset: decisions about AI, cloud, and automation must align with both strategic goals and regulatory realities.
At the same time, Gartner stresses that workforce readiness is critical. AI and robotics are not simply technical upgrades; they redefine roles and workflows. Organisations need to invest in skills that combine data literacy, automation design, and ethical awareness. In this sense, the “agents of change” from the event’s theme are not just digital entities, but also the people guiding their adoption.
For robotics and automation professionals, Gartner’s message translates into a few key imperatives. First, the era of pilots is over. Enterprises must focus on scaling AI and robotics projects that demonstrably create business value. Second, integration between robotic systems, AI agents, and orchestration platforms will determine competitive advantage. Third, governance must evolve alongside innovation—covering safety, ethics, and compliance. And finally, collaboration between IT and operational technology teams will be vital to make automation both intelligent and resilient.
Across the Symposium, sessions on AI-ready data, AI agents, and sovereign AI reveal a maturing discourse. The question is no longer whether AI will change work, but how organisations can lead that change responsibly. Vendors at the Xpo floor are expected to showcase increasingly integrated solutions, combining robotics, automation, and cognitive orchestration layers.
For the robotics ecosystem, the takeaway from Barcelona is that Artificial intelligence is no longer an isolated discipline but the connective tissue of automation. The winners of the coming decade will be those who combine innovation with governance, speed with transparency, and automation with intelligence. Gartner’s vision positions AI not as a disruptor but as a strategic instrument—one that must be mastered, measured, and aligned with real-world outcomes.
