Dark factories: why the future of AI-automated manufacturing depends on connectivity  

24 April 2025

#AI#Manufacturing#Mining#Connectivity

AI adoption is reshaping industries globally, and manufacturing is no exception. In the race to create more efficient, scalable and cost-effective production, news of “dark factories” are beginning to emerge. These fully automated facilities operated by AI and robotics are a glimpse into the future of industrial operations. Designed to operate 24/7 with minimal intervention, they run without the need for human oversight or even lighting. For industries like automotive, electronics and consumer goods, that are increasingly embracing automation and robotics, this could be a huge shift. 

Such factories are not common at present. The high cost of robotics and infrastructure and complexity of automating every part of the process are two factors Add to this cybersecurity and system reliability factors and the transition of people into new roles, mean there are challenges to development. However, as automation technology advances this could be set to change and if so then the role of seamless, reliable connectivity will be crucial.

Connectivity is a Crucial Component across all Industries

As manufacturers race to embrace automation, the conversation is often dominated by the potential of AI. However, the vital connectivity infrastructure required to support it is often overlooked. Without reliable, round-the-clock connectivity networks, dark factories cannot function. AI-powered systems, no matter how advanced, still depend on seamless data transfer and real-time monitoring to avoid downtime, errors or even operational breakdowns.

We have seen a similar challenge in autonomous mining, another industry focusing heavily on automation. Like dark factories, autonomous mining vehicles and machinery rely on robust connectivity to receive instructions, report data and adjust to real-time variables. If that connection fails, the entire system falters. It’s a similar story in AI-driven manufacturing. The risk is not just a brief pause in production, it is the ripple effect of unplanned downtime, missed quotas and increased costs.

Seamless Connectivity for Effortless Maintenance

As AI adoption continues at full speed, manufacturers must remember that intelligent machines cannot operate in isolation. Whether it’s for predictive maintenance, performance analytics or quality control, connectivity ensures that machines speak the same language across the entire production line. Without it, even the smartest robots are rendered powerless.

Reliable connectivity also supports cybersecurity protocols, firmware updates and remote diagnostics, all of which are critical for keeping operations running smoothly. This ability to identify, troubleshoot and solve issues remotely could mean the difference between a minor hiccup and a full-blown shutdown.

As we move further into this AI-driven era of manufacturing, leaders must view connectivity not as a supporting role, but as an essential pillar of success. AI and automation are redefining the future of work. But if this and other industry automation opportunities are to succeed, they need to recognise that connectivity is the crucial link that will ensure the machines of tomorrow keep pace with our vision for the future.

Embracing and Powering the Connected Future

FleetWallet are helping to usher in a new more connected era. To learn more about our products and how they can benefit you then contact us online to talk to a member of our team. Here at Cubic3 we’re at the coalface when it comes to automation and connect. Our products like

About Cubic3

Cubic3 provides advanced connectivity solutions for software-defined vehicles (SDVs) across 200+ countries. We help automotive, agriculture and transportation OEMs navigate the complexities of connecting vehicles while ensuring compliance with global regulations. With access to over 550 mobile networks, our smart connectivity empowers OEMs to innovate, scale and unlock new opportunities, driving efficiency and growth.