What is the future of data centers amid the rise of AI?
By: Marta Sánchez, Vice President of the Secure Power and Datacenter Business Unit for SAM at Schneider Electric.
Artificial Intelligence (AI) has ceased to be an emerging technology and has become a critical factor in the evolution of multiple industries.
From chatbots to predictive systems in healthcare and finance, its widespread adoption is reshaping entire sectors.
However, this surge brings an escalating challenge: the exponential increase in data processing demand, pushing data centers to the limits of their energy and operational capacity.
With 5.56 billion internet users (and growing), the rapid adoption of AI technology is driving energy consumption to unprecedented levels.
AI computing capacity is expected to double approximately every 100 days, fueling an annual increase of 26% to 36% in global energy consumption linked to AI over the coming years.
According to Goldman Sachs Research, AI-driven energy demand will grow by 160% by 2030.
Google reported that between 2019 and 2023, its carbon emissions rose by 48% due to training advanced models such as Gemini.
Moreover, each query made to an AI system like ChatGPT consumes ten times more energy than a traditional Google search.
AI is here to stay—and at a rapid pace.
Its online processing capabilities enable the analysis of future scenarios and operational efficiency improvements.
The challenge now is to equip data centers with energy-efficient and sustainable technologies.
Infrastructure to Maximize AI Utilization.
One of AI’s primary benefits in data centers is its ability to anticipate failures and reduce downtime.
Through integrated sensors and software such as EcoStruxure, equipment is monitored in real time, and predictive algorithms can foresee critical issues, preventing costly interruptions.
Previously, shutting down cooling systems for maintenance was a risk.
Today, AI precisely indicates the optimal timing without impacting operations.
Despite its high energy demand, AI is key to enhancing efficiency in data centers and other industrial sectors.
Using advanced algorithms, it is possible to reduce overall energy consumption, minimize costs, and lessen environmental impact.
Schneider Electric and NVIDIA lead energy efficiency initiatives such as microgrids powered by solar and wind energy, eConversion mode in UPS systems achieving up to 99% efficiency, and heat reuse strategies.
Future Trends in Data Centers and AI.
According to a Statista Market Insights survey, the global data center market is projected to grow by 30% and exceed $430 billion by 2028.
In countries like Colombia, the data center sector has shown steady growth in recent years, driven by demand for cloud services, expansion of streaming platforms, and digital transformation across multiple industries.
It is estimated that Colombia will reach an installed capacity exceeding 70 MW by 2029, with significant investments in cities such as Bogotá, Medellín, and Barranquilla.
The rise of streaming, cloud gaming, and AI is propelling investments in digital infrastructure.
The future is not about consuming less data, but about processing it more efficiently.
In Latin America, the data center industry continues to expand.
Initiatives focus on maximizing AI’s potential without compromising environmental commitments, with companies investing in solutions that enable this coexistence.
The AI revolution in data centers is a reality, and its impact will continue to redefine technology infrastructure management, driving greater efficiency, security, and sustainability in an increasingly digital world.
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