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The SaaS squeeze: Why AI is the greatest threat proptech has ever faced
The core shift from software to intelligence
Thought Leadership by Andrew Stanton CEO Proptech-PR
‘For the better part of two decades, the proptech sector has ridden the same wave that transformed fintech, martech, and every other corner of the digital economy, with its Software-as-a-Service model. Subscription based platforms, sold to business clients on recurring contracts, became the default model for innovation. Predictable revenue, scalable infrastructure, and high margins made SaaS not just viable, but highly investable.
But what happens when the very foundation of that model begins to erode?
We are now entering a phase where artificial intelligence is no longer just a feature, it is becoming the operating system of business itself. And if AI can effectively ‘hoover up’ data, learn workflows, and execute tasks autonomously, then we must confront an uncomfortable hypothesis, the traditional proptech SaaS model may be heading for a structural decline in value.
The core shift from software to intelligence
At its core, SaaS delivers structured functionality. A CRM manages contacts. A property management system tracks tenancies. A valuation tool processes comparables. A platform runs facility management or ESG operations. Each faithfully solves a defined problem within a defined interface.
AI does not respect boundaries
Modern large language models and agent-based systems can ingest vast datasets, understand context, and perform multi-step tasks across domains. Instead of logging into five different proptech tools, a user can increasingly rely on a single AI layer to coordinate operations by pulling data, generating reports, responding to tenants, analysing deals, and even executing transactions.
According to a 2025 McKinsey report, generative AI could automate up to 60–70% of current business activities across sectors. In real estate specifically, early studies suggest that over 50% of administrative workflows, from lease processing to client communications can already be partially automated. This is not incremental change. It is a change in basic assumptions.
The SaaS value proposition under pressure
The traditional SaaS value proposition rests on three pillars: centralised data management, process efficiency through structured workflows, and user-friendly interfaces for non-technical operators. Now AI challenges all three.
First, data is no longer confined to a single platform, as AI can aggregate and normalise information across multiple sources in real time. The ‘data moat’ that many proptech firms rely on becomes far less defensible when AI can replicate or reconstruct that dataset dynamically.
Second, workflows are no longer rigid. Rather than following predefined steps within a SaaS platform, AI can adapt processes on the fly. For example, a lettings agent could instruct an AI agent to ‘onboard this new tenant,’ and the system would then manage referencing, documentation, compliance checks, and communications without the need for a dedicated platform.
Third, interfaces themselves begin to lose relevance. With the rise of natural language interaction, users no longer need to navigate dashboards or learn software environments, instead they simply ask.
Taken together, these shifts fundamentally reduce the perceived value of paying £50–£500 per user per month for multiple SaaS tools when a single AI-driven system can replicate much of that functionality.
The economic implications let us consider the numbers
The global proptech market was valued at approximately $33 billion in 2023, with SaaS models accounting for a considerable proportion of that valuation. Venture capital has poured billions into platforms promising efficiency gains and digital transformation.
However, Gartner forecasts that by 2027, over 40% of enterprise software spend could shift toward AI-centric solutions, many of which will be usage-based rather than subscription-based.
This has two critical implications. The first is revenue compression, as clients increasingly replace multiple SaaS subscriptions with a single AI solution, thereby reducing overall spend. The second is margin pressure, since AI infrastructure, particularly at scale, is expensive, making it harder to sustain the high margins traditionally associated with SaaS.
Moreover, buyers are becoming more sophisticated. A 2025 Deloitte survey found that 62% of B2B clients expect AI capabilities to be embedded as standard, rather than sold as premium add-ons. In other words, AI is no longer a differentiator; it is a baseline expectation.
Disintermediation risk
The most significant threat is disintermediation, if AI can directly interface with core systems such as CRMs, accounting software, and listing portals, it effectively positions itself between the user and the SaaS provider. Over time, this intermediary layer becomes the primary interface, reducing both the visibility and perceived importance of the underlying platforms.
In such a scenario, proptech companies risk becoming commoditised infrastructure—necessary, but no longer valuable. We have seen this pattern before. In the early days of the internet, websites served as the primary interface. Then search engines emerged, aggregating and mediating access. Today, AI threatens to become the next layer of abstraction.
If your product is no longer the interface, your pricing power diminishes.
2026 a new order is coming
This is not to say that proptech SaaS is doomed. However, it does signal that the sector is approaching a moment of reckoning. The winners in this next phase will not be those who simply add AI features to existing platforms, but those who fundamentally rethink their value proposition.
This could involve transitioning from subscription models to outcome-based pricing, building AI-native platforms rather than retrofitting legacy systems, leveraging proprietary data in ways that AI alone cannot easily replicate, and positioning themselves as infrastructure providers within emerging AI ecosystems. Crucially, this shift demands a change in mindset—from selling software to delivering intelligence.
The human factor
One counterargument is that real estate is inherently human. Relationships, trust, and local knowledge cannot be fully automated. This is true, but it misses the point. AI does not need to replace humans in order to disrupt SaaS; it only needs to reduce reliance on specialised tools. If agents, property managers, and investors can operate more efficiently with fewer platforms, then demand for those platforms will inevitably decline.
In fact, AI may enhance human capability by enabling smaller teams to achieve more with fewer resources. Yet that very efficiency comes at the expense of the tools that once underpinned those operations.
Stanton’s Analysis
The proptech sector has always been driven by innovation, but innovation is rarely comfortable. The hypothesis that AI will erode the value of SaaS-based proptech companies is not alarmist, it is grounded in observable trends that I have been following for some time. Data aggregation, workflow automation, and interface simplification are all accelerating at a pace few anticipated even two years ago.
For founders, investors, and operators, the message is clear, the rules are changing. Those who adapt, who fully embrace AI as a foundational layer rather than a bolt-on feature, will uncover new opportunities for growth and value creation.
Those who do not may find that their once compelling SaaS offering becomes increasingly difficult to justify in a world where intelligence, not software, is the ultimate commodity. The question is no longer whether AI will impact proptech. It is how quickly and how profoundly.’
PROPTECH-PR is both a consultancy for Proptech Founders and an Advisory Service for the wider Proptech & Real Estate Industries, if you are running low on ideas, strategy or revenue, or just plain confused – please book an exploratory personal call to see if I can help. Using this LINK.
Andrew Stanton Executive Editor – moving property and proptech forward. PropTech-X
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