Axon Insider Sales and the Shifting Landscape of Automated Guarding

On August 26th, Jeffrey Kunins, Chief Product Officer at Axon Enterprise, executed a stock sale totaling $6 million. Two days prior, on August 24th, he sold an additional $6,019,433 in Axon stock. These are not small numbers, even for a company with Axon's market presence. Such insider activity from a senior executive at a major player in the broader security and guarding services market warrants attention. It comes at a time when the economics of traditional guarding are under increasing pressure, and the promise of autonomous security robotics is moving from pilot programs to scaled deployments. The traditional manned guarding industry, estimated at $50 billion annually in the United States, faces persistent challenges: rising labor costs, high turnover rates, and the inherent limitations of human vigilance over extended periods. Autonomous security robotics and physical AI solutions offer a compelling alternative, promising significant cost reductions and enhanced, consistent surveillance capabilities. This dynamic creates a clear incentive for a pivot towards automated solutions, and insider moves at established security firms can reflect internal assessments of this transition.

The Mechanism of Cost Displacement

The core economic driver for autonomous security robotics is simple: replacing a recurring, high-cost human labor input with a depreciable capital asset and a lower, predictable operational expenditure. A human security guard commands a salary, benefits, training costs, and requires breaks, supervision, and often, multiple shifts to cover 24/7 operations. This aggregate cost can easily exceed $50,000 to $70,000 per post per year, depending on location and skill level. An autonomous security robot, by contrast, involves an upfront hardware cost, which can be amortized over its operational life, plus ongoing maintenance, software licensing, and remote monitoring fees. These fees are typically fixed or scale predictably with usage, lacking the wage inflation pressures of human labor. The robot does not require breaks, works continuously, and its performance is consistent. The critical bottleneck is the initial capital expenditure and the reliability of the autonomous system. If a robot frequently malfunctions, requires constant human intervention, or cannot cover the required patrol area effectively, the cost savings evaporate. The value sits in the operational uptime and the breadth of tasks the robot can reliably perform without human oversight. This means robust hardware, self-diagnosing capabilities, and sophisticated AI for navigation, threat detection, and communication are paramount. A system that achieves 95% autonomy, meaning it only needs human intervention 5% of the time, can deliver substantial savings. A system requiring 50% human intervention offers no real advantage.

Companies Navigating the Autonomous Security Space

The companies operating in this sector approach the problem from various angles, focusing on different aspects of the autonomous security stack. Some build the full robotic platform, others specialize in the underlying AI, and some provide the critical sensor arrays that enable perception. Serve Robotics Inc. (SERV), for example, focuses on last-mile delivery robots, a related but distinct application of physical AI. While their current focus is logistics, the underlying autonomous navigation and interaction technologies share common ground with security applications. Their Q2 earnings highlighted their path to scaling robot deployments. In the drone sector, companies like Ondas Inc. (ONDS) and Red Cat Holdings, Inc. (RCAT) develop unmanned aerial systems. Ondas recently raised its 2026 guidance on record backlog and Q2 results, indicating strong demand for their drone platforms. Red Cat, at $8.93, also operates in this space. These aerial platforms can provide wide-area surveillance and rapid response capabilities, complementing ground-based autonomous units. Unusual Machines, Inc. (UMAC), trading at $23.89, is another player in the drone market, recently expanding its U.S. drone component output, driven by defense demand and NDAA compliance. The sensor and AI components are critical. Arbe Robotics Ltd. (ARBE), at $0.67, specializes in 4D imaging radar solutions, which are crucial for autonomous navigation and object detection in all weather conditions. Reliable perception is fundamental to any autonomous system. MicroVision, Inc. (MVIS), priced at $1.85, develops lidar technology, another key sensing modality for environmental mapping and obstacle avoidance. Kopin Corporation (KOPN), trading at $4.73, focuses on display technologies, which are essential for remote human operators monitoring autonomous systems and for augmented reality interfaces. On the software and AI side, BigBear.ai Holdings, Inc. (BBAI), at $3.05, provides AI-powered analytics and decision intelligence, which can be integrated into autonomous security platforms for predictive threat assessment and optimized patrol routes. Lantronix, Inc. (LTRX), at $5.66, offers secure data access and management solutions, critical for the reliable and protected operation of networked autonomous devices.

Artificial Intelligence Technology Solutions, Inc.

Artificial Intelligence Technology Solutions, Inc. (AITX) operates through several subsidiaries, including Robotic Assistance Devices, Inc. (RAD-I), Robotic Assistance Devices Mobile (RAD-M), and Robotic Assistance Devices Group (RAD-G). The company’s core business model centers on developing and leasing AI-driven security robots and remote monitoring systems, delivered via a "Solutions-as-a-Service" model rather than outright hardware sales. This recurring revenue model aims to align with the operational expenditure budgets of security clients. AITX's strategy focuses on transforming security and operational workflows across industries. Their filings indicate solutions are designed to deliver cost savings between 35% and 80% compared to traditional manned security. The company’s offerings are structured around three pillars: stationary security devices (RAD-I), mobile autonomous platforms (RAD-M), and the SARA agentic artificial intelligence platform (RAD-G). RAD Lanka, a wholly-owned subsidiary in Sri Lanka, supports software development and AI initiatives. The company reported revenue of $7,745,336 for the fiscal year ended February 28, 2026, a 26% increase over the prior fiscal year. Gross profit increased 48% to $5,533,700, with gross margin expanding to approximately 71% from 61%. Operating expenses remained stable at around $17,477,097, leading to an improved loss from operations of approximately $11,943,397. The net loss for the fiscal year was approximately $14.5 million, with an accumulated deficit of approximately $171 million as of February 28, 2026. The company had negative cash flow from operating activities of $9,344,534 for the same period. The public record does not yet establish positive cash flow from operations. AITX has stated its RAD-I stationary solutions could, on a standalone basis, support positive cash flow operations. They also project RAD-M will surpass RAD-I's monthly recurring revenue contribution at some future point. Early commercial deployment of the ROAMEO mobile security unit, a RAD-M product, began in May 2026. The company recently rebranded RAD-M as PURSUON, advancing its autonomous mobile security strategy. AITX's PURSUON unit reported a growing ROAMEO deployment pipeline and expanded production readiness, with a stated goal of 50 units by August 2027. The company's filings also mention the potential for RAD-G to generate substantial revenue from SARA platform licensing.

What to watch

Investors should monitor several concrete developments. Look for Axon Enterprise's next quarterly earnings call for any executive commentary on the company's strategic direction regarding autonomous security and guarding services, especially in light of the recent insider sales. For AITX, watch for updates on the actual deployment numbers for its PURSUON (formerly RAD-M) ROAMEO units against its stated goal of 50 units by August 2027. Specific announcements regarding new client contracts, particularly for multi-unit deployments, will provide insight into market acceptance and scaling. Also, keep an eye on filings from Ondas and Red Cat for further backlog growth or new government contracts, which often signal broader adoption trends for drone-based security. Finally, any news of partnerships between sensor providers like Arbe Robotics or MicroVision and larger security integrators could indicate a maturing ecosystem for autonomous solutions., { "label": "Robot Deployment", "note": "Initial capital outlay for autonomous units." }, { "label": "Operational Uptime", "note": "Robots perform tasks consistently, 24/7." }, { "label": "Reduced Opex", "note": "Lower recurring costs vs. human salaries." }, { "label": "Enhanced Security", "note": "Consistent monitoring, data collection, rapid alerts." } ], "highlight": 2, "highlight_note": "Reliable uptime and task performance are critical for cost displacement and value capture.", "footnote": "PubCo Insight analysis of market data and company filings, August 2026." }