The technological environment is becoming increasingly complex and dynamic.
For an IT professional, staying up-to-date with information from reliable and verified sources is no longer just a competitive advantage. It's a strategic necessity. The digital infrastructure industry is evolving rapidly, especially in data centers and AI architectures. Therefore, constant access to rigorous analysis is essential to make informed decisions and anticipate disruptive trends.
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The Top 5 News Stories of the 4th Week of January 2026
Below, I share a summary of the five main news items from the most recent edition of our newsletter, which reflect the structural change that the data center industry is undergoing towards a new logic. “power-first” (energy first):
1. OpenAI and the “power-first” shift in AI data centers
Date: January 20, 2026 | Fountain: Network World
OpenAI announced a radical strategic shift in the design of its mega-data centers for artificial intelligence, moving from a traditional fiber-first approach to one that prioritizes power availability. In the context of the Stargate project and other large-scale model training complexes, the company is committed to funding dedicated power generation and transmission infrastructure to avoid overloading local grids. Deloitte projects that the power demand of AI-focused data centers in the United States could increase more than thirtyfold by 2035, from approximately 4 GW in 2024 to nearly 123 GW. This shift makes power the primary limiting factor, radically altering cost structures and site selection.
2. Legislative debate on data centers outside the public electricity grid
Date: January 21, 2026 | Fountain: Mid-Latitude
US lawmakers are pushing bills to create private “power islands” for data centers.
These islands would allow operation completely outside the public electricity grid.
The idea has the support of think tanks such as the Cato Institute.
They are seeking to have hyperscalers finance their own electricity generation, especially using natural gas.
This is how they try to avoid cross-subsidies and reduce regulatory pressure on utilities.
An emblematic case is the Oracle-OpenAI Stargate campus in Texas.
This project is supported by a 700 MW gas microgrid.
There are no plans to connect it to the public electricity grid.
At the federal level, the White House has called for auctions of emergency capacity.
Several governors support these auctions to ensure additional power generation.
They acknowledge that the demand for new data centers could strain the electrical system as early as 2027.
3. Telcos scale massive investment in AI infrastructure
Date: January 21, 2026 | Fountain: Omdia
An Omdia report shows a new wave of investment in AI.
Telecommunications operators in Asia, Europe, Canada, and the Middle East are leading this movement.
They are committing multi-year investments in cloud, data centers and GPU-as-a-Service.
They also allocate capital to AI RAN solutions and other advanced infrastructures.
The change responds to a strong demand for computing power for AI.
Also to digital sovereignty agendas that favor local providers.
These agendas seek to balance power against global hyperscalers.
Among the notable cases is SK Telecom.
Today it obtains about 4.1% of its revenue from data centers.
The company has set itself the goal of reaching 1 trillion KRW by 2030.
Another key example is Ooredoo.
The company wants digital infrastructure to account for 12.1% of its revenue.
To achieve this, telcos are changing their business model.
They create specialized subsidiaries focused on AI infrastructure.
They also form joint ventures with technological and financial partners.
Furthermore, they are redirecting capex to capture more value from the supply chain.
With these actions they seek to lead national programs of technological autonomy.
4. Latin America as a preferred destination for AI data centers
Date: January 7, 2026 | Fountain: Frost & Sullivan (webinar)
A Frost & Sullivan webinar explains how Brazil and other Latin American markets are positioning themselves as strategic destinations for AI- and HPC-ready data centers. It highlights the use of abundant renewable energy, such as hydroelectric, wind, and solar, along with improvements to the electrical grid. The region allows for the design of energy-dense campuses focused on AI workloads.
One example is Scala Data Centers, which operates several sites in Brazil, Mexico, Chile, and Colombia, connected to highly reliable substations capable of scaling to gigawatt loads. The analysis also indicates that latency requirements, bandwidth costs, and regulatory compliance are driving more computing power closer to the Latin American user. This makes the region a relevant alternative to mature markets that are already saturated.
5. Recognition of the regional hyperscale strategy in Latin America
Date: January 11, 2026 | Fountain: Frost & Sullivan
Frost & Sullivan recognized Scala Data Centers for its leadership in digital infrastructure in Latin America. It highlighted its hyperscale expansion strategy and its focus on energy sustainability.
Scala has developed a broad investment portfolio. This includes several high-capacity campuses and dedicated electrical substations to support AI and cloud workloads. These facilities make intensive use of certified renewable energy and high-density modular designs.
The report notes that the company is raising the professional standards of the regional ecosystem by introducing best operating practices and efficiency standards similar to those of mature markets. As a result, Latin America is consolidating its position as a key emerging market for critical AI infrastructure, at a time when other hubs are already facing land and energy constraints.
These five news stories illustrate a profound paradigm shift. Data centers are no longer just connectivity nodes. They are now becoming complex energy infrastructures. Energy availability, especially renewable energy, has become the key factor in assessing the viability of large-scale AI projects. It also determines their scalability.
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