The words of 2026: Relevance. Responsibility. Resilience.
These reflect our focus on staying connected to real tenant needs, acting responsibly toward communities and the environment, and building resilient strategies that perform under change.
AI-based technologies changing the company’s competitive edge in 2026
In 2026, AI is strengthening our competitive edge primarily through the way we understand markets, communicate, and position our projects. We use AI extensively in marketing and communications to improve content relevance, campaign performance, and audience insight, helping us act faster and with greater precision across channels.
Beyond marketing, our approach is selective and pragmatic. We are testing and gradually introducing AI-enabled analytics where the value is clear and measurable – especially in building performance monitoring, reporting, and early-stage predictive insights. Rather than “AI everywhere”, we focus on specific use cases that support efficiency, sustainability targets, and a better tenant experience, while keeping human control and accountability at the centre.
What’s the biggest misconception business leaders still have about AI?
One major misconception is that AI is either a shortcut to instant transformation or simply an automation tool for cost cutting. In practice, sustainable value comes when AI is embedded into well-defined processes, supported by reliable data, and governed responsibly.
Another misconception is treating AI as a one-off implementation. Real results require iteration, clear ownership, continuous calibration, and robust governance – particularly around data security, privacy, and quality. When these foundations are in place, AI can meaningfully enhance planning and decision-making without replacing leadership or strategic judgment.
AI-led Business decisions
We don’t consider decisions to be “AI-led.” Decisions remain management-led and are ultimately owned by people. Where we use AI, it is to inform decisions with better analysis and faster visibility.
Today, our most mature use is in marketing and communications—optimising messaging, segmentation, and performance. In operations, we are running targeted pilots and analytics initiatives related to energy monitoring, consumption patterns, and scenario evaluation, where the data supports it. We see AI as a decision-support layer that improves clarity and responsiveness—especially in complex, multi-tenant environments—while maintaining human oversight and accountability.
AI changing the customers’ expectations
AI has accelerated expectations around speed, responsiveness, and transparency. Tenants and their employees increasingly expect clear information, more personalised communication, and visible progress on sustainability performance.
In real estate and campus environments, this translates into a stronger focus on experience: consistent comfort, proactive services, and credible reporting. AI helps us meet these expectations first through improved communications and insight; and, progressively, through more advanced performance analytics where appropriate. We are careful not to overpromise “fully autonomous” buildings—our priority is reliability, service quality, and measurable outcomes.
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