Construction Insights 2026
Bucharest, March 2026: Artificial intelligence is starting to have a visible impact on the real estate market, influencing not only how buildings are operated, but also the criteria by which they are valued, leased and transacted. From offices and retail spaces to logistics and urban development, AI is accelerating a structural transition in which flexibility, infrastructure and adaptability are becoming key drivers, according to ”The Impact of AI on the Built World” report released by the Cushman & Wakefield global real estate consultancy company.
The report analyses the AI impact on major commercial asset classes – office, industrial and retail – as well as on cities.
In the office sector, artificial intelligence is already driving structural changes in how companies create value, with direct implications for demand and the way office space is used.
Offices were predominantly designed for the ‘average tenant’ during the last few real estate cycles: a broadly similar set of needs around desks, meeting rooms, and amenities, delivered through familiar specifications.
Some firms will double-down on in-person collaboration and client experience. Others will redesign work to be more distributed, while some tenants will prioritize cost and flexibility. The result is not a single ‘new office’, but a wider range of requirements.
In the Romanian office market, this transition is reflected through a growing focus on quality and functionality rather than sheer volume. The best-performing buildings are increasingly assessed based on their ability to support high‑value interactions – through efficient collaboration spaces, robust digital infrastructure and environments that enable faster, better‑informed decision‑making.
At the same time, AI is amplifying the differentiation at both market and asset levels. Romanian assets and locations anchored in high value‑add activities, complex decision‑making and client‑facing functions tend to be more resilient over the medium and long term. By contrast, buildings designed primarily for standardized, repetitive activities may be more exposed to the structural risks generated by automation. This dynamic is shifting the focus for investors and occupiers from ”how much space is needed” to ”what type of space best supports the business model”.
Over the long term, the competitiveness of Romania’s office market will be increasingly tied to the assets’ ability to accommodate adaptive work models, credible digital infrastructure and a diversity of uses. As occupier requirements become more specialized and product differentiation deepens, buildings that can respond to a wide range of needs will have a clear advantage in attracting and retaining demand.
In the retail sector, AI is contributing to a redefinition of physical stores. These are no longer perceived solely as points of sale, but as part of a broader ecosystem that integrates brand experience, services, logistics and customer engagement.
Personalization, shorter waiting times and more efficient management of inventories and returns are enhancing the attractiveness of certain locations and formats. In this context, retail spaces capable of supporting multiple functions – experience, services, delivery or returns – are becoming more relevant, while rigid formats are losing appeal.
AI is also accelerating the transformation of logistics and industrial spaces into dynamic hubs capable of responding rapidly to shifts in demand. Warehouses no longer function only as storage facilities, but as intelligent nodes that redistribute goods in real time and support more efficient and resilient supply chains.
This evolution increases the importance of location, access to infrastructure and the technical specifications of buildings. Assets capable of supporting automation, higher energy loads and intensive operational flows are better positioned for the long term.
At an urban level, AI is accentuating differences between cities and zones. Access to energy, digital infrastructure, mobility and the speed of administrative processes are becoming genuine competitive advantages. Urban areas that can integrate these elements more effectively will be better placed to attract investment, including in real estate.
In this context, the real estate market can no longer be analysed in isolation from urban development strategies, and collaboration between the public and private sectors becomes essential.
Vlad Săftoiu, Head of Research, Cushman & Wakefield Echinox: “Artificial intelligence is not only changing how buildings are operated, but also the fundamental logic behind real estate demand. We are observing a growing polarization between assets which can adapt to new requirements – flexibility, infrastructure and connectivity – and those which remain anchored in outdated models. For owners, occupiers and investors alike, adaptability will be a decisive criterion in the years ahead. For Romania’s real estate market, AI is a catalyst for change rather than an isolated trend. Buildings and projects which successfully integrate these transformations will benefit from stronger long‑term positioning in an increasingly selective market.”
