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With the rise of AI, data centers are becoming a bigger part of our everyday lives. But this growing reliance also brings up serious concerns about energy use and the environment. On Ticker’s business news show, Hyperview CEO Jad Jebara discussed how AI is driving data center operators to rethink how they handle these energy-hungry workloads while working toward sustainability goals.

The data center industry is grappling with a major talent shortage as demand for cloud computing, AI and sustainability expertise soars. With critical skills in energy management, cybersecurity and automation in high demand, companies are investing in training, partnerships, and upskilling initiatives to close the gap. As experienced professionals retire, the industry must modernize its image to attract new talent and future-proof its workforce. From competitive compensation to leadership development, a multi-faceted approach is essential to ensuring data centers can meet the challenges of a rapidly evolving digital landscape. We hear from three experts on data centre employment, showcasing the issues, in-demand skills, possible solutions and examples of how to combat the talent shortage in the data center sector.

Jad Jebara, co-founder, president and CEO of cloud-based data centre infrastructure management (DCIM) company Hyperview, underlines that open source and open source standards have been instrumental for innovation. So, it’s not about ditching anything open source to avoid related risk. “For so much open source now, it’s supported commercially, and there are reasons why, including that not everybody has staff to do all the techie stuff,” he says. “Without open source, the internet as we know it, the infrastructure, the digital economy doesn’t exist. So, now on the hardware level, with the Open Compute Project Foundation, you need scale to manufacture the hardware standards, but it drives innovation, sustainability and the density in the datacentres and that will never change.”

Amongst the AI boom, data centres are playing an increasingly important role in the technology landscape. But more demand for computing means more demand for power. Experts discuss balancing these challenges with meeting environmental and social goals.

Our CTO, Rami Jebara sat down with Machine to share his vision of the transformation required over the next 12 months. In 2025, data centers will undergo significant transformations to meet the escalating demands of AI and machine learning workloads, which require substantial computational power, increased energy consumption, and enhanced cooling capabilities. The rise of edge computing will drive the development of smaller, decentralized data centers near urban areas to reduce latency and improve data processing speeds for real-time applications. To accommodate these changes, existing facilities must invest in advanced cooling solutions, renewable energy sources, and modular designs that offer flexibility and scalability. Emphasizing sustainability and efficiency will be crucial in supporting power-intensive technologies while minimizing environmental impact.