India’s AI Revolution in Corporate Real Estate

• Explosive AI adoption: AI adoption in Indian CRE has exploded from under 5% in 2023 to 91% in 2025, marking a fundamental pivot where real estate is no longer just a cost center but a strategic function with a direct line to C-suite objectives.

• Strategic focus over easy wins: CRE leaders are taking ownership and focusing on complex, high-impact areas like portfolio optimization and energy management that directly support C-suite objectives, deliberately choosing strategic value over quick wins.

• The ambition – reality gap: Given the complexity and extended timelines inherent in AI transformation, only 5% of companies currently report achieving most objectives – a natural early-stage result as organizations work through systemic barriers in the form of outdated legacy infrastructure, a lack of clear AI strategy, cybersecurity paralysis, and a persistent talent shortage.

• Modernization as a critical priority : Advanced AI cannot deliver value on outdated infrastructure. This realization has made tech modernization mission-critical, with 93% of respondents now planning to allocate budget to upgrade their foundational systems, understanding that a solid data ecosystem must be built before enterprise-wide intelligence can be achieved.
   

A fundamental shift is underway across India’s corporate landscape. Artificial Intelligence, once a niche topic, has emerged as the new foundational blueprint for corporate real estate (CRE). The JLL Global Technology Survey 2025, conducted with over 1,000 senior decision-makers across 16 global markets, reveals a story of incredible velocity: the percentage of Indian companies piloting or planning AI-enabled CRE solutions has skyrocketed from under 5% in 2023 to a staggering 91% in 2025.

This is more than a trend; it is the dawn of an ecosystem where buildings think, portfolios predict, and strategies adapt in real time, transforming CRE from a conversation about cost and space into one about strategy, intelligence, and a new form of competitive advantage. 

While AI adoption has reached remarkable scale, translating pilots into measurable impact requires time and systematic execution. With 5% of organizations surveyed reporting achievement of most AI objectives – a reflection of high evaluation standards and the complex, ongoing nature of these initiatives, this article examines what's driving the C-suite focus on CRE, the implementation realities organizations face, and the proven strategies for turning AI ambition into sustainable competitive advantage.

The push for AI in real estate is now a priority for senior executives, driven by clear business objectives. For 93% of senior executive respondents, reducing costs through portfolio optimization is one of their top objectives for their three-year business strategy. This focus has elevated CRE from a support function to a critical component of enterprise strategy.

This strategic shift is reflected in changing reporting structures: by 2030, an estimated 33% of CRE heads will report directly to the Chief Technology Officer, signifying CRE's evolution from workplace management to a technology-enabled business function. Essentially, it signals that buildings are no longer viewed as static assets but as dynamic, data-generating platforms requiring the same strategic attention as any other technology infrastructure. This convergence creates unprecedented opportunities for CRE leaders to demonstrate strategic value and drive organizational transformation.

Importantly, the impact of this strategic elevation is becoming evident. 68% of the total surveyed executives strongly agree that their CRE function is an effective strategic partner. When CRE leaders can predict needs, optimize costs in real-time, and actively support business growth, it earns executive attention and resources typically reserved for revenue-generating functions.

The typical playbook for new technology is clear: start small. Conventional wisdom suggests organizations should begin with simple, low-risk applications – the so-called ‘low-hanging fruit’. For AI, this might mean automating lease abstraction, a document-heavy task with limited connection to other workflows.

Yet, our research reveals that Indian CRE leaders are rewriting that playbook. Instead of dipping their toes in the water with small wins, they are prioritizing high-impact areas that directly address their most pressing C-suite objectives. The top three priorities for AI pilots serve as clear evidence of this bold strategy. 

The intense focus on portfolio optimization is no surprise. For the C-suite, it remains the most critical underlying expectation. AI is being deployed first and foremost to deliver on this core promise. By using AI to analyze market trends, occupancy patterns, and future business needs simultaneously, leaders are turning their portfolios into dynamic assets that can be optimized proactively, not just reviewed quarterly. Similarly, the strong emphasis on energy management confronts the growing pressure of corporate ESG targets head-on. Companies are responding by deploying AI to scale and systematize energy management efforts, fundamentally changing how their buildings consume energy and turning major operational costs into drivers of sustainability and brand value. The third priority use case of real estate data-related workflow reveals deep strategic foresight. Recognizing that AI is only as good as the data it consumes, Indian leaders are prioritizing the foundational, yet complex task of automating and cleaning their data ecosystems. They are building the ‘central nervous system’ first, understanding that this is the only way to enable true, enterprise-wide intelligence, even if it offers less immediate visible payoff.

This multi-layer approach explains why organizations are willing to invest in AI despite global budget pressures and uncertain ROI timelines. The potential for AI to transform CRE from a reactive cost center into a proactive value creator justifies the investment in capabilities that will compound over time. Notably, Indian organizations are demonstrating exceptional commitment to CRE technology investment, with 47% planning to increase budgets by 15% or more over the next three years and 93% expecting some level of budget growth. This reflects India's established culture of technology leadership and innovation. Indian organizations have consistently been early adopters of digital transformation across industries, and this tech-forward approach is now extending to CRE AI investments, with executives viewing technology as essential infrastructure rather than discretionary spending.

Despite enthusiastic adoption intentions, the practical reality of AI implementation reveals significant challenges that separate aspiration from achievement. The maturity landscape shows most organizations are still in experimental phases, struggling to translate pilot projects into scalable, value-generating capabilities.

The concentration of companies in the single-objective achievement category suggests that organizations often succeed with isolated use cases but struggle to create systematic AI capabilities that drive broader transformation. This pattern indicates that technical implementation alone proves insufficient – success requires organizational change management, process redesign, and cultural adaptation that many underestimate.

• Strategic vacuum: 57% of organizations lack clearly defined AI strategies, creating confusion about priorities, success metrics, and resource allocation. Without strategic frameworks, pilot projects become isolated experiments rather than building blocks for comprehensive capabilities.

• Security paralysis: Equal numbers cite cybersecurity concerns, reflecting legitimate anxieties about data protection and system vulnerabilities in AI-enabled environments. These concerns often lead to conservative approaches that limit AI's potential impact.

• Talent gap: 29% of companies face a shortage of skilled talent, creating critical bottlenecks in the implementation, management, and ongoing optimization of AI systems.
   

While the above barriers are significant, the most critical obstacle is technical and foundational. Organizations are discovering a hard truth: advanced AI cannot deliver on its promise when built on outdated, fragmented, and unreliable infrastructure. This realization has sparked a wave of much-needed modernization.

So, how do you break away from the pack? The most successful organizations are not just trying harder; they are working smarter. They are replacing ad-hoc efforts with a systematic playbook for change. Their actions provide a clear, actionable model for any leader looking to pioneer this transformation.

First, audit your reality: before building the future, create a comprehensive map of your existing tech, processes, and data. This audit provides a clear-eyed view of your starting point, revealing hidden opportunities and the legacy systems that must be addressed. It’s the foundational step to knowing where you are before you decide where you’re going.

Second, define what success looks like: For every technology initiative, design clear, measurable KPIs that tie directly to broader business goals – be it cost savings, talent retention, or sustainability targets. This ensures every project has a purpose and a demonstrable value, making it easier to secure budgets and champion your vision.

Third, build bridges, not silos: from day one, establish cross-functional teams that bring CRE, IT, HR, and Finance together. AI is a team sport, and a collaborative approach ensures solutions are holistic, integrated, and built for the entire business, not just one department.

India's CRE sector is uniquely positioned to lead the global AI transformation. With 93% of organizations planning budget increases and 47% committing to 15%+ budget increase over three years, Indian companies are making investment decisions that reflect long-term strategic conviction rather than short-term experimentation.

The structural transformation is already underway. By 2030, 33% of CRE heads will report directly to the Chief Technology Officer, signalling CRE's evolution from operational support to strategic technology partner. This organizational shift, combined with India's established digital innovation ecosystem, creates a powerful foundation for sustained AI leadership.

The competitive advantage lies in execution speed. While global markets face 65% budget pressure, Indian organizations' lower constraint levels enable faster decision-making and more aggressive AI adoption. This financial flexibility, paired with India's tech talent depth, positions Indian CRE teams to achieve scale faster than international peers.

For India's corporate leaders, three immediate priorities emerge: First, leverage the current budget commitment window to modernize foundational systems – 88% already recognize this need. Second, establish cross-functional AI teams that capitalize on India's collaborative tech culture. Third, use India's position as an AI early adopter to attract global occupiers seeking tech-enabled spaces, turning CRE AI investments into revenue drivers.

For India's corporate leaders, the message is clear: the revolution is here, and India is positioned to lead it. Success will not be determined by the technology you buy, but by the strategy you build, the talent you nurture, and the vision you pursue.