AI-driven growth remains central for the data center sector, with NVIDIA guiding about 70% revenue growth in fiscal 2028 and ongoing demand for AI infrastructure, though margins may be squeezed by memory price moves.

The idea of AI factories frames data centers as integrated hubs where compute, memory, networking, storage, and security work together around data movement, not just server housing.

Global spend on AI data centers is expected to surpass $3 trillion by 2030, a figure that could rise as more firms adopt AI, with productivity gains already noted by users.

Some states, including Queensland, oppose mandatory renewables guarantees, signaling potential legal and political hurdles to nationwide rules.

Experts warn that water withdrawals can overstate indirect water use for hydropower, urging focus on consumptive use and local conditions to assess risk.

The government emphasizes that a pause on certain rules is not a free pass for tech firms; developers should prioritize clean power, responsible water use, local jobs, and community investment.

The broader debate over data centers emphasizes environmental, economic, and governance dimensions, with candidates proposing different paths for local involvement and state oversight.

There are concerns about foreign influence shaping online criticism related to AI infrastructure, though no proven conspiracy, with potential attackers seeking to slow development.

Equinix has urged FERC to adopt reliability reforms and targeted changes to PJM’s procurement to protect reliability, transparency, and affordability for large users like data centers.

Equinix highlights resource adequacy concerns in PJM and calls for urgent reliability reforms to address them.

AI agents automate tasks previously done by humans, raising governance and guardrail needs; guidance suggests treating agents as untrusted contractors with isolated environments and human oversight for live actions.

Australia’s data center policy debate gains momentum with national cabinet discussions on legislation to ensure AI’s economic benefits, address copyright, and set security, safety, and skills standards.