Eseye Warns of the 'Great IoT Re-Alignment'—Sentient AIoT Demands Managed Connectivity, Not DIY

Eseye CEO Nick Earle declared a Great IoT Re-Alignment at Mobile World Congress 2026, arguing that the convergence of AI and IoT into what he calls sentient AIoT devices demands a fundamental shift from DIY connectivity to managed connectivity services. The argument: when devices make autonomous decisions at the edge, connectivity reliability becomes an operational requirement, not an IT preference. A sensor that misses a data upload is an inconvenience. An AI agent that loses connectivity mid-decision is a safety risk.

The AIoT Shift

The traditional IoT model deployed sensors that collected data and sent it somewhere for processing. Connectivity was important but not critical in real time. The AIoT model deploys devices that contain AI inference capabilities and make autonomous decisions locally. These devices still need connectivity for model updates, fleet management, telemetry aggregation, and coordination with cloud systems. But the nature of connectivity changes. It needs to be always-on, self-healing, and guaranteed, because the device is no longer just a data collector. It is an autonomous actor.

Why DIY Connectivity Breaks Down

Earle's specific target is enterprises that manage their own cellular IoT connectivity through direct carrier relationships and custom SIM management. His argument: managing global cellular connectivity across multiple carriers, multiple countries, and multiple radio technologies (4G, 5G, LTE-M, NB-IoT) is not a core competency for manufacturers, energy companies, or logistics operators. When devices were simple sensors, connectivity gaps were tolerable. When devices are AI agents making real-time decisions, connectivity gaps cascade into operational failures.

The Managed Connectivity Model

Eseye's business is managed IoT connectivity: multi-network SIMs, intelligent network switching, and guaranteed uptime SLAs. The company claims its platform can automatically switch between carriers and radio technologies based on signal quality, cost, and application requirements. For AIoT use cases, Eseye is positioning guaranteed connectivity as the infrastructure layer that makes autonomous edge operations viable. Without it, every AI agent deployment carries the risk of disconnected autonomous behavior.

The Market Validation

The managed IoT connectivity market is growing faster than the broader IoT market. Berg Insight projects the global IoT connectivity management market will reach $12.3 billion by 2028. The growth is driven by exactly the complexity Earle describes: enterprises deploying IoT at scale across multiple geographies discovering that managing connectivity internally is expensive, unreliable, and distracting from core operations. The shift to AIoT accelerates this trend because the cost of connectivity failure increases when devices are making autonomous decisions.

What Enterprise Buyers Should Consider

If you are planning large-scale IoT or AIoT deployments that require cellular connectivity across multiple regions, the build-versus-buy decision on connectivity management deserves the same rigor as any other infrastructure decision. The key evaluation criteria: SLA guarantees on uptime and failover, multi-carrier coverage in your deployment geographies, support for the specific radio technologies your devices use, and total cost of ownership compared to managing carrier relationships directly. The counterargument to managed connectivity: vendor lock-in on a critical infrastructure layer. The counterargument to DIY: you are building and staffing a telecom operations center that is not your core business.