Robots and Drones: The Future of Insurance Hardware

The insurance industry is shifting toward a hardware-first strategy. Emerging robotics technology could fundamentally change how insurers manage, mitigate and respond to risk. From humanoid surveyors to autonomous repair fleets, James York argues that insurers may soon deploy fleets of AI-powered robot machines to intervene before, during and immediately after losses.

The Economics of Automation

The first generation of advanced robotics will be expensive, but the technology could create opportunities for insurers’ investment and claims functions to back repair networks and service providers that reduce long-term claims costs. As risk controls evolve, robotic intervention could also reduce some of the more distressing losses faced by certain sectors.

Keeping things simple, humanoid, wheeled and specialist autonomous hardware are already beginning to emerge. Many readers will recognise Boston Trends’ Atlas and Tesla’s Optimus robots. Another contender is Neo, developed by 1X Technologies. Although still relatively slow, one of its most interesting capabilities is remote operation.

Because every remotely controlled task also serves as training data, these systems improve as they are used. That opens up the eventual possibility of remote surveys and inspections, from factory risk assessments to ship hull examinations. UK startup The Humanoid has attracted substantial investment to develop commercial-grade robots. Over time, such technology could support repairs across motor, property and marine claims, potentially reducing claims inflation and accelerating remediation.

Read Also: Silver poised to outpace gold after steep fall

Remote Operations and Disaster Response

Disaster response could become another area of opportunity. Insurer-owned or insurer-funded robots could arrive alongside loss assessors, beginning remediation work and gathering intelligence almost immediately after catastrophic events.

With Neo currently priced at around $20,000 for early adopters, some robotics platforms could become affordable within a decade. Financing their deployment through repair networks, leasing firms or claims suppliers may become increasingly attractive where they reduce losses. Imagine claims teams arriving virtually at the scene of a disaster moments after first responders, remotely operating robots that gather evidence and accelerate settlement. Loss adjusting could become significantly faster.

Extending Beyond Personal Lines

Brokers, too, could play a role by helping clients finance, insure and deploy this new hardware layer. Self-driving vehicles may further expand these possibilities. As the UK’s Automated Vehicles Act is implemented, autonomous transport could allow fleets of robots to be deployed quickly and efficiently to industrial sites and loss locations.

There may even be applications in road safety. Organisations such as the Motor Insurance Bureau (MIB) already intervene to tackle uninsured driving through initiatives such as Operation Tutelage. In future, autonomous vehicles equipped with sensors could potentially support wider road-risk monitoring, subject to data protection requirements and other laws.

More mundane opportunities also exist. British startup Robotiz3d is developing pothole-repair robots. Given Aviva’s estimate of an average pothole claim costing £3,863, preventing even a relatively small number of incidents could justify insurer investment in this technology.

Read Also: Demat accounts outpace investors, challenge brokerages

Delivery robots may also have insurance applications. For health insurers, rapid delivery of medication or emergency equipment such as EpiPens could reduce claim severity and improve outcomes. Similarly, life insurers have long had an incentive to prevent deaths where possible. Mobile, on-demand defibrillator delivery could become another form of active risk management.

Granular Risk Management

Even seemingly niche technologies may have insurance relevance. Devices that identify bird species today could be adapted to detect vehicle collisions, hazardous events or environmental risks tomorrow. What appears to be a novelty may eventually become a valuable loss-prevention tool.

Cargo technology company Reelables develops smart labels that track inventory and shipments. Such innovations create opportunities for parametric products, proactive intervention and more granular risk management. Construction could also change significantly. UK startup All3 is developing robotic systems capable of generating vast quantities of project data. As construction risks evolve in real time, insurers may eventually be able to adjust pricing and cover dynamically rather than relying solely on a static project assessment.

These technologies offer only a glimpse of the insurance opportunities that may emerge from the AI economy. And while questions around evidence standards, liability, obsolescence, concentration risk and regulation remain substantial, the direction of travel seems clear. Insurance is likely to become a hybrid force, combining software, AI and physical hardware to monitor, mitigate and transfer risk in new ways. An underwriter viewing a loss through a robot’s eyes? It may sound far-fetched today, but it could be the reality tomorrow.