Canada

A New Era for Canadian Real Estate: Reinvention Key to Driving Future Growth

A New Era for Canadian Real Estate

“Real estate right now is like driving in fog. Drive too slow, and you’ll get hit from behind. Drive too fast, and you’ll fall off a cliff.”

Canada’s real estate companies are experiencing profound change that requires them to reimagine their business models and how they operate. Take the example of the condominium market, which is facing a wide range of challenges, including the collapse of a business model often focused on large numbers of presales of units to investors. Among the many implications of the sector’s downturn is the urgency to rethink how condo builders finance new developments.

“There will be innovation in this time because we have no choice in this market,” said one interviewee, acknowledging the pressures companies are under to adapt their business models amid the challenges in the condo market.

It’s not just the condo market or even the broader real estate industry that’s facing the need for a deep rethink. PwC’s recent Value in Motion research analyzed the scale of disruption affecting all sectors of the economy. It found trillions of dollars in value will change hands in the coming decade due to growing resource constraints and the supply and demand impacts of global megatrends such as climate change, demographic shifts, and AI. In this year alone, companies reinventing their business models will account for up to US$7.1 trillion in redistributed revenues globally, the research found.

These three megatrends—climate, changing demographics, and AI—are creating investable growth opportunities in domains at the intersection of real estate and other industries, including energy, technology, health care, and government. What does this look like in practice? Consider how real estate companies, working across industries, can turn buildings into revenue-generating sources of clean energy. Or how they can reimagine seniors’ housing to meet the needs of an aging population. And how they can use advanced manufacturing and technology to lower homebuilding costs through modular construction.

Among this year’s interviewees, one developer described how their business model evolved to include acting as a general contractor, which they believed could save them money by allowing them to take control of site construction. The push to reinvent was also evident in PwC’s 28th Global CEO Survey. More than half (52 percent) of real estate respondents who took part in the survey said their organization had begun competing in new sectors in the last five years, showing the industry’s openness toward changing how it does business.

Shifting the Focus to New Domains of Growth

Another way to look at business reinvention is to consider emerging areas of business activity that offer significant growth potential for real estate companies in the future. Some of the opportunities can be seen in PwC’s Value in Motion research, which explored the emergence of new business ecosystems that enable companies to participate in what are called domains of growth focused on serving fundamental human needs: how we move, make and build things, fuel and power our economy, and feed and care for ourselves. Underpinning these six domains are the funding, connectivity, and computing power and governance that support our industrial system in meeting these critical human needs. The evolution of these domains, which PwC Canada’s analysis shows could represent up to $3.65 trillion in Canadian economic activity in 2035, is creating new growth opportunities for companies.

Each of these domains has a real estate component. Consider, for example, how megatrends will alter existing mobility preferences, create new ones, and change how we move. The rise of autonomous vehicles and accelerated investment in transit could prompt city planners and developers to question long-held assumptions about parking. This includes reconsidering the number of parking spaces in new high-rises and redesigning buildings to support new mobility infrastructure, such as dedicated storage for e-bikes and more charging stations for electric vehicles.

Similarly, new capital allocation models are emerging with the potential to rethink how large-scale projects are funded. This cross-sector collaboration between nontraditional partners could change not only how capital is deployed, but who deploys it. For example, to help close Canada’s infrastructure gap, financial players could partner with governments to issue public/private infrastructure bonds. These bonds reduce risk and provide the stable, long-term financing that development firms need to undertake major projects, including the construction of affordable and sustainable housing. This creates an opportunity for developers to innovate. By offering fixed-return infrastructure bonds, developers can tap into new sources of capital to fund the next generation of real estate and infrastructure assets.

These shifts in mobility and funding are just two examples of the large pools of value that organizations from different sectors that intersect with real estate can capture. The following sections describe other domains that will form and grow, offering opportunities for Canadian real estate companies to seize a share of the value in motion. 

How We Fuel and Power

One of the biggest cross-sector opportunities relates to the intersection of real estate, energy, and infrastructure enabled by efforts to digitize, decentralize, and decarbonize our power systems. These shifts create an important role for various classes of real estate, given the scarcity of land and the need to manage energy costs.

This is a chance for real estate organizations to align their sustainability objectives with their growth goals. As one developer explained, the decision to invest in alternative energy sources such as geothermal is a business-driven choice focused on creating new long-term revenue streams.

But the opportunities extend even further. Consider the possibility of embedding battery storage components in building materials such as cement. By storing power generated by renewable energy sources to provide electricity and supply the grid as needed, buildings can generate new revenues and better manage costs.

There’s also the example of real estate companies putting solar panels on the roofs of industrial buildings and retail properties such as grocery stores. This is by no means a new phenomenon, but it’s one that’s gaining traction in some countries, especially given the new possibilities enabled by creative partnerships that can make rooftop solar panel projects more viable given traditional barriers including initial capital outlays. 

Examples include grocery stores partnering with solar panel companies to install energy infrastructure at no upfront cost. The grocery store in effect becomes an energy-producing asset as the solar panels feed electricity into the grid. The retailer also benefits from cost savings used to pay back the solar panel company.

Sidebar How Canadian Real Estate Companies Are Putting AI to Work

Canadian real estate companies are advancing along a spectrum of AI adoption. While some organizations remain in the exploratory phase—testing AI for basic administrative functions—others are using AI to drive operational efficiencies and unlock new sources of value. The most advanced firms are moving beyond pilots, integrating AI into core business processes, and achieving measurable results. 

Moving Beyond Pilots: Real-world Impact

Some companies have already realized significant benefits from AI. For example, a Vancouver property manager implemented an AI virtual leasing agent across thousands of units, resulting in an increase in tour-to-lease conversions and improvement in tour-to-application rates. In Toronto, some organizations are using AI-powered lease extraction tools to process agreements and are achieving critical time savings over manual methods. Elsewhere, companies are demonstrating how AI can deliver tangible business outcomes in leasing and tenant engagement. These include AI-powered dynamic pricing that adjusts rents in real time, predictive maintenance platforms that cut maintenance costs and improve tenant satisfaction, and AI-driven tenant screening and retention tools that lower turnover and improve rent collection. 

Data Quality and Integration: A Foundational Challenge

Despite these successes, a recurring theme is the lack of clean, integrated data. Many interviewees cited data integration as their top challenge, with legacy systems consuming a large amount of information technology (IT) budgets. Fragmented and outdated property management systems limit the effectiveness of AI for analytics and forecasting. While some companies have made progress in data management, real estate–specific integration remains a significant hurdle. 

Quebec stands out for its data governance leadership. Driven by Law 25 compliance, several Quebec-based real estate organizations have invested in centralized data lakes and standardized governance frameworks, enabling robust AI applications in asset optimization and risk management.

Real estate organizations that prioritize cross-provincial data standards and invest in scalable infrastructure can enhance AI outcomes nationally. Collaboration with real estate boards and technology councils can accelerate the development of shared data protocols, reducing duplication and improving interoperability. 

Privacy, Security, and Responsible AI

Privacy and security concerns are especially acute in provinces with stringent data protection regimes, such as Quebec’s Law 25, which imposes penalties up to $25 million or 4 percent of global revenue for noncompliance. Rather than hindering adoption, this regulatory clarity has accelerated responsible AI implementation by providing compliance certainty.

Enterprise security implementations are also advancing. For example, a Toronto-based REIT deployed AI to protect both IT and operational technology (OT) infrastructure, including elevators and building management systems. This unified approach to security is critical as Internet of Things (IoT) adoption increases across the sector. In contrast, some firms report uncertainty around compliance requirements, which has slowed AI adoption. Establishing province-specific compliance playbooks and investing in ongoing staff training can help address these gaps. 

Fostering an Innovation Mindset and Upskilling 

Organizational culture also remains a critical hurdle, especially in traditionally risk-averse real estate organizations. Cultural barriers often outweigh technical constraints in limiting AI adoption. However, targeted initiatives can accelerate transformation. For example, the Alberta government is working with an Edmonton AI company to encourage the growth of AI skill sets. And British Columbia offers opportunities for real estate professionals to enhance their AI literacy through the province’s educational and technology sectors. 

Executives who champion experimentation, reward innovation, and embed AI competencies into professional development can drive broader cultural change within their organizations. Sharing success stories across provinces can help demystify AI and build momentum, especially in regions where uncertainty remains high. 

The Rise of Agent AI in Real Estate

While many companies look to AI solutions in pursuit of efficiency gains, the next frontier is using AI to create new business models and revenue streams. 

In Calgary, an investment manager used AI-powered analytics to identify market trends and inform capital allocation. In Vancouver, an AI system combined MLS data with a large language model to provide property analyses and market intelligence, serving hundreds of daily users. 

Yet the next wave of AI in real estate is likely to be driven by agent AI—autonomous, conversational, and decision-support systems that go far beyond today’s chatbots or workflow automation. These AI agents will fundamentally reshape how real estate is transacted, managed, and experienced. 

For agents and brokers, agent AI holds the potential to automate lead qualification, property matching, and client communications, freeing up time for high-value relationship building. It's positioned to provide real-time market intelligence, pricing recommendations, and negotiation support, enhancing both speed and accuracy in dealmaking. Agent AI will also enable 24/7 virtual property tours, document generation, and transaction management, improving client experiences and reducing cycle times. 

For owners and investors, agent AI is expected to continuously monitor asset performance, flagging risks and opportunities based on live data feeds. It can enhance leasing, maintenance, and capital-planning decisions through predictive analytics and scenario modeling. Additionally, opportunities exist to facilitate compliance and reporting by automatically tracking regulatory changes and updating documentation.  

For tenants and end-users, agent AI holds the promise of personalizing the search, leasing, and service experience, offering tailored recommendations and instant support. It may also integrate with smart building systems to increase comfort, energy use, and security. 

While only a few interviewees said they’re currently investigating the use of agents, the future impact will be profound. Agent AI will compress transaction timelines, reduce operational costs, and unlock new revenue streams. It will also raise the bar for data quality, privacy, and ethical governance, as these systems will require access to sensitive information and make increasingly autonomous decisions. 

A Call to Action for Canadian Real Estate Executives 

This year’s interviews illustrate that Canadian real estate companies have made meaningful strides in AI adoption in 2025, with firms actively using AI and achieving success in energy management, leasing optimization, and operational efficiency. The next 12 to18 months represent a critical window for Canadian real estate firms to advance their AI strategies.

How We Connect and Compute

Another key trend generating significant new demand for real estate is the growth of data centres in the connect and compute domain. Combining attributes related to infrastructure, technology, and real estate, data centres represent another example of how lines between different sectors and players are blurring. It’s also an area where constraints are a significant concern, given both the need for substantial amounts of electricity to power and cool a data centre and for sufficient land close to sources of demand.

Data centres have been a top prospect for investment and development in Emerging Trends surveys of Canadian real estate companies in recent years, and some interviewees raised them as an area of focus for their business. Despite challenges such as power availability and large capital requirements, data centres remain an opportunity given the significant amount of compute capacity needed for AI models.

Part of what’s happening is a rationalization of what had been an oversupply of interest in data centres to focus on investors with the balance sheets and capital needed to move massive projects forward. Even so, there are opportunities for others to play in this space without making massive investments in new data centres. There may be ways, for example, to upgrade existing data centres to serve AI computing needs. In other cases, real estate companies can acquire existing data centres sold by other players and then partner with an operator to run the facility. 

These examples show that while data centres do come with a complex set of considerations, requirements, and constraints, there remains a key role for the real estate industry in providing the land, expertise, and capital needed to develop them. 

How We Care

Another domain that is seeing the impacts of key megatrends—notably demographic shifts and technological disruption—is how we care for ourselves. An aging population is driving notable change in real estate, evidence of which can be seen in the much warmer sentiment among interviewees this year toward seniors’ housing. “The silver tsunami is coming,” said one interviewee. “People are now waking up to the reality of senior living.”

But opportunities in this domain extend beyond traditional seniors’ housing. One area gaining attention is medical office space, an asset class one developer noted is largely uninfluenced by economic cycles. Demand is instead driven by two powerful forces: the demographics of an aging population and a government policy shift toward delivering more health-care services in community settings. As specialized assets with unique infrastructure requirements, medical offices are a clear example of an emerging real estate category that requires new partnerships and capital to scale. This opens the door to thinking even further about what the future of care could look like and the innovative real estate models to support it.

Consider, for example, the possibility of gently densifying single-family home lots to include multiple units to house seniors while allowing the owner to age in place. Such an approach could include consideration of other aspects of caregiving, such as setting aside a unit for a personal support worker to care for the seniors residing there. Builders could also work with partners to incorporate technological solutions such as fall-detection tools that link seniors directly with first responders in case of an emergency.

The point about technology integration is critical when it comes to looking at seniors’ housing that includes an operational component. While operating assets overall are seeing increasing interest as a way to grow business during these challenging times, costs remain a significant concern, highlighting the need to invest in technologies such as AI solutions that improve efficiencies and streamline operations. 

How We Build

The domain that relates most directly to real estate, how we build, is also evolving in response to the urgent need to significantly increase housing supply and affordability—not just in Canada but also in many other countries. As builders face constraints such as labour availability and rising costs, attention is shifting to construction methods that have the potential to speed up homebuilding. Among them are various forms of prefabricated homes, such as modular housing, that have quickly risen up the agenda of policymakers and the real estate industry during 2025.

By combining standardization of home designs and building processes with advanced technologies such as AI and innovative manufacturing capabilities, modular housing has the potential to increase productivity and, if scaled significantly, help mitigate cost and affordability pressures. As with other domains, partnerships will be critical to enabling modular housing given the need to bring together diverse players across engineering, construction, manufacturing, technology, finance, and real estate.

That is not to say that the real estate industry doesn’t have concerns about the viability of modular homes as a solution to Canada’s housing challenges, an issue one interviewee alluded to when they asked, “How do you get modular to work?” Interviewees noted the significant structural, financial, and operational challenges associated with modular housing, including the need for consistent demand for units to justify large upfront capital expenditures to build new facilities and achieve scale.

One interviewee highlighted the importance of engaging consumers on what modular housing entails. “Modular is less choice but not less quality, and that’s part of the education,” they noted.

Many interviewees acknowledged the role of modular housing as part of a broader reinvention of the industry and how homes are built, but they also emphasized the importance of supportive public policies. These include measures that de-risk the industry against downturns in demand through government procuring modular homes and acting as a first buyer to help companies scale their operations. 

Another key challenge relates to regulatory issues such as building codes that can create barriers to efficiently building modular housing. Interviewees also emphasized the need to carefully study experiences with modular housing elsewhere in the world, including not just countries that have seen successes but also those where government efforts to stimulate the industry have failed to deliver expected outcomes.

A recurring theme from this year’s interviews is the urgent need for new financing models tailored to modular construction. Unlike traditional builds, modular projects require significant upfront investment in materials and manufacturing, but conventional project financing only releases funds as onsite milestones are met. This mismatch creates a major barrier to scaling modular solutions and highlights the importance of bridging the gap between upfront capital needs and traditional financing models.

Government support—through procurement, first-buyer programs, and underwriting upfront costs—can address this challenge. At the same time, innovative private financing structures, such as equipment, inventory, and revenue-based models, are emerging to better align with modular production cycles. Bulk order commitments, like those from BCH, also enable manufacturers to secure expansion financing and reduce investor risk, further supporting industry growth.

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