Many surveyors and commentators are talking about the present and how AI integrates into existing workflows. Very few are predicting the future of AI in surveying and how “role” displacement will naturally occur.
By “role displacement,” I mean the way the surveyor is nudged into a new direction within the property industry. This nudging will most likely not come from within the property industry but from innovative disrupters who understand the capabilities of AI and how to deploy them. These people will look at existing workflows and rewrite them entirely.
Let’s look at the dilapidations process and how a building surveyor could be nudged out of it, reduced to becoming an “expert” who simply reviews the evidence presented in a dispute.
Using known technologies and language models, this is how the process could be completely changed.
Reading the Lease
On 18th June 2026, the government announced that it wanted to speed up the conveyancing process for residential property transactions. Using digital property logbooks and AI-assisted conveyancing. This will require language models to be trained to read title deeds and leases and consistently produce accurate output.
There is now demand for this capability, backed by government policy, so the costs associated with training such a model can be commercially justified.
Once AI can read a lease and highlight the relevant items of disrepair covered by specific repairing covenants, that is one less step for a building surveyor to undertake.
Schedule of Condition Before Occupancy
This is where technology can be used to create a comprehensive visual record of a property.
LiDAR scanning and photogrammetry are already widely used in the construction and property industry. It is currently possible to position a scanning device in the centre of a room and create a detailed 3D measured record of it, complete with photographs. Alternatively, a high-resolution 360-degree image can be captured.
This is effective, but it takes time, setting up the instrument, capturing the images, and then repeating the process methodically throughout the building.
That process will change dramatically as humanoid robots, equipped with 360-degree cameras and lidar scanners, are deployed to navigate buildings autonomously.
The stumbling block for this type of technology was operating a door handle. NVIDIA’s research lab has solved this with a new robotic learning system called “DoorMan.” They equipped a $16,000 humanoid robot with the ability to open door handles, meaning humanoid robots can now enter and leave rooms independently. DoorMan uses vision-only reinforcement learning, trained in a lab environment and then deployed to the robot. Because it operates using only raw RGB pixels, it can be implemented cheaply using a standard video camera.
DoorMan makes fully autonomous photography and LIDAR scanning of a building possible. The robot simply navigates its way through the property. Externally, the same robot can be used to photograph the façade, with a drone deployed to capture the roof.
The 360 photographs and lidar scans can be processed in real time whilst the robot is recording the other areas of the building.
A complete photographic schedule of condition is produced automatically at the end of the process.
During the Occupancy of the Lease
Future leases will require tenants to log all work undertaken to the fabric of the building digitally, using software that allows the data to be exported in a standardised format, creating a full audit trail of alterations and maintenance throughout the term.
End of the Lease
The humanoid robot is deployed again to inspect the building.
This is where the technology becomes very accurate and fast.
Using sensor data and the 3D mapping from the original pre-lease inspection, the robot retraces its near-exact route, capturing 360-degree photographs and LIDAR scans from almost the same positions, accurate to within a few centimetres.
Those photographs are compared against the originals in real time. The differences identified are passed to a language model, which produces the final dilapidations schedule, fully costed, with measurements calculated from the LiDAR mapping the robot has already completed.
The final schedule is then reviewed and signed off by the domain expert, in this case, a building surveyor.
Who Disrupts the Disruptors?
The surveying profession is largely looking inward, asking how AI can make existing workflows more efficient. The more important question is who is looking at those workflows from the outside.
The answer is unlikely to be another surveying firm. It will be a large technology corporation or a well-funded start-up with no attachment to how things have always been done. These organisations will build their own robot fleets. In time, those robots will not need to be accompanied by a human operator. They will be loaded, dispatched from a depot, driven to the property by a self-driving vehicle, and begin work autonomously, or under the light supervision of a single remote “chaperone” monitoring multiple deployments simultaneously.
We just have to turn to the motor car industry to see a prime example of this.
Tesla was at the forefront of the electric car revolution with their first mass-produced electric car. Under the guidance of Elon Musk, Tesla disrupted the motor industry, leaving many existing car manufacturers rapidly playing catch-up.
The building surveyor does not disappear from this picture entirely. But the role shrinks to the top of the process, expert review, dispute resolution, and sign-off, while everything beneath it is automated.
When we look at the dilapidations process, it is quite theatrical in many ways. The landlord prepares their schedule, the tenant prepares the counterclaim, and then a settlement figure is agreed.
Both sides are working from the same lease and the same condition of the property. The stronger the data collected, the harder it is to disagree.
As technology advances and automation increases, the underlying expert opinion of the surveyor will still be required, but those hours of inspection and billing will be reduced.
Could we see the demise of the traditional surveying firm with its replacement by high-tech corporations with in-house domain experts?
The reality is yes. As more technology is introduced into building surveying, we will see a slow removal of actual billable hours as those manual tasks are automated.
What will be crucial in the adaptation will be how the technology is introduced. Let’s look at agriculture; autonomous tractors are here and being used on farms.
The farmer can buy the machine, lease it, or engage the services of a subcontractor who has one.
Once set up, the tractor can run whilst the farmer does something else. The stream of data from the tractor can be monitored in real time, from anywhere in the world. That means the farmer can be productive doing another task on the farm.
This is most likely what will happen to the surveying industry. The surveyor will arrive in their mobile control vehicle. Deploy the humanoid robot and monitor it from their vehicle whilst undertaking other work.
As reliability and technology advances, the robot will be delivered to the site using a self-driving vehicle, and a remote operator will monitor it from a remote location, along with a number of other robots.
“The profession has time to adapt. But only if it takes the blinkers off.”