The case for dark factories is often framed around automation. But does that miss the bigger commercial question?
For those driving the energy transition, the issue is not whether factories can operate without people on the production floor. It is whether full automation changes the economics of making renewable energy technologies enough to justify the investment.
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That distinction is important. GlobalData expects the number of fully automated factories to increase from a handful today to hundreds by 2030. Even then, they will remain a small part of global manufacturing. Their importance lies less in becoming the dominant factory model than in redefining where advanced manufacturing becomes commercially viable.
For companies producing equipment for the energy transition, that could influence decisions on where to invest, how to manage supply chains and which projects deserve capital.
Productivity, not power bills, is the main prize
Dark factories offer obvious operational benefits. AI, robotics, IoT sensors and digital twins allow production systems to monitor performance continuously and adapt in real time. Removing routine human activity also reduces demand for lighting, heating and air conditioning.
Those energy savings are real, but they are unlikely to be the primary reason manufacturers invest.
The stronger commercial argument is higher asset utilisation, more consistent production and greater operational control. Continuous manufacturing can improve output from expensive production assets while reducing disruption caused by labour shortages or shift patterns.
That is particularly relevant to energy-transition manufacturing, where producers face intense pressure to reduce costs while expanding capacity. Whether manufacturing batteries, power electronics or other clean energy technologies, improving factory economics may prove just as important as improving product performance.
The focus then shifts from automation as an engineering exercise to automation as a capital allocation decision.
Industrial policy is changing the investment case
Technology alone is not driving interest in dark factories.
Labour shortages and rising wages in major manufacturing economies, including the US, China and Japan, are important factors accelerating automation. At the same time, governments increasingly treat renewable energy manufacturing as strategically important, while companies continue to reassess supply chains following the pandemic and heightened geopolitical tension.
Those forces reinforce one another.
Reshoring or nearshoring production is easier to justify if automation narrows the labour cost gap between manufacturing locations. In that context, dark factories become part of a broader industrial strategy rather than simply another productivity programme.
China’s position is especially significant. Its leadership in robotics and AI is helping reduce the cost and improve the capability of automation technologies. That gives Chinese manufacturers an advantage that extends beyond labour costs. Other regions seeking to expand domestic renewable energy manufacturing will increasingly compete on automation capability as well as industrial policy.
The constraints are commercial as much as technical
None of this suggests rapid or universal adoption.
Fully automated facilities require substantial upfront investment and are generally more practical in greenfield developments than in existing factories. The software architecture needed to integrate AI, robotics, sensors and operational systems is complex, while specialist engineering and software skills remain in short supply.
Cybersecurity also becomes a strategic operational risk. The more autonomous a manufacturing site becomes, the greater the potential disruption from a successful cyberattack. Investment in digital resilience therefore needs to be considered alongside investment in automation itself.
Some sectors face additional regulatory hurdles. In pharmaceuticals, for example, production requirements may limit the pace of adoption regardless of technical capability.
Nor does automation eliminate the need for people. GlobalData notes that human oversight remains essential for maintenance, complex repairs and operational exceptions. The workforce changes, rather than disappears.
A selective shift with lasting consequences
The most likely outcome is incremental deployment. Manufacturers will automate production lines, manufacturing cells and logistics functions before considering fully autonomous facilities. That reflects commercial discipline rather than technological caution. Companies invest where returns are strongest, not where automation is most technically impressive.
For the energy transition, this is the point that matters.
Dark factories are unlikely to transform manufacturing through scale alone. They could, however, reshape the economics of producing strategically important technologies. That would influence where new capacity is built, how supply chains evolve and which investment programmes offer the strongest long-term returns.
The competitive question is therefore who identifies the parts of manufacturing where automation changes the economics enough to justify the capital. For businesses supplying the energy transition, that may prove to be the more durable advantage.
