Leonid Reiman: Why 5G Is About More Than Faster Internet
5G is often presented through the experience of the smartphone: faster downloads, more responsive applications, smoother video and fewer interruptions. But Leonid Reiman argues that this view misses the more important change. The significance of 5G lies less in how quickly a person receives information and more in how quickly connected systems can detect an event, make a decision and act.
Each generation of telecommunications has initially been understood as a service and only later as an architecture. 3G became associated with mobile internet, while 4G was closely connected with video, applications and continuous connectivity. 5G has similarly been marketed through speed. Yet the more consequential question is what happens when machines and infrastructure become active participants in a communication loop.
Previous networks primarily transported signals to a person or a remote system, which then interpreted the information and made a decision. With 5G, a much wider range of physical objects can be connected: cranes, robots, sensors, medical devices, power grids, transport hubs, cameras and industrial equipment. A signal no longer has to end on a screen. It can change an operating mode, redistribute a load, stop a process or trigger a command.
This is the sense in which Reiman describes a less human world. It does not mean a world without people. It means a world in which a person is no longer necessarily the fastest element in the decision loop.
A port terminal provides a useful illustration. A crane can be operated remotely while cameras, telemetry and wind sensors provide information about the equipment and its surroundings. In the example described by Reiman, a change in wind can be detected by sensors before a human operator has fully interpreted the movement. A local system can recalculate the trajectory and send a corrective command within milliseconds. The operator remains in control, but the system may act first.
The difference is therefore not simply network speed. It is the timing of action.The technical language of 5G reflects these different functions. Enhanced mobile broadband, or eMBB, addresses human traffic such as mobile internet, video and applications. Ultra-reliable low-latency communications, or URLLC, concerns situations where communication is linked to physical action. Massive machine-type communications, or mMTC, is designed for large numbers of connected sensors and devices.
The first widely visible stage of 5G was largely eMBB. The next stage depends on combining connectivity with other elements, particularly edge computing, where processing is located closer to the source of data.
This changes the role of latency. For entertainment, a small delay may have little practical significance. For a crane, robot, autonomous transport system or power grid, the time between detecting an event and responding to it can determine whether a person can still intervene.
Artificial intelligence strengthens this architecture. AI can recognize patterns, predict deviations and make decisions under uncertainty. But the network still determines where and how quickly those capabilities can be applied. A system may need to process information close to the environment in which conditions are changing.
The next stage is therefore not simply about adding more base stations. It can require a standalone core, private networks, edge nodes, rules governing data access and clear accountability for local decisions. An antenna alone does not transform a port, factory or hospital; it creates the conditions for those environments to operate differently.
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For Reiman, the central issue with 5G is therefore not how many megabits a subscriber receives. It is where the decision is made and who has the authority to turn a signal into an action. Networks are moving from being channels that carry information toward systems that can determine the timing of physical processes.
That shift may make the world less human in the familiar sense. It does not necessarily make it worse. It means that rules designed around slower human decision-making have to be reconsidered when connected systems can observe, calculate and respond much faster.
