A US startup called Seabed Computing is deploying autonomous data centres directly into the ocean, powered by wave energy, to address the surging electricity consumption of artificial intelligence systems. The company positions this approach as a solution to one of tech's most pressing problems: AI's voracious energy appetite.

Traditional data centres consume enormous amounts of power and require constant cooling. Major tech companies like Google, Meta, and Microsoft have faced intense pressure over their climbing energy bills and carbon footprints as AI models grow larger and more computationally demanding. According to industry analyses, data centre electricity consumption could double by 2030.

Seabed Computing's floating centres would harness wave energy, a renewable resource abundant in coastal regions. The autonomous design eliminates the need for human staff on-site, theoretically reducing operational costs. The concept exploits an underutilized energy source while placing computational infrastructure closer to coastal populations that generate significant data traffic.

However, marine engineers and infrastructure experts raise substantial practical concerns. The ocean environment presents severe challenges for sensitive electronics. Salt water corrosion, extreme weather events, biofouling from marine organisms, and pressure variations all threaten equipment reliability. Maintenance becomes extraordinarily difficult when facilities sit submerged or in rough seas. Any malfunction requires specialized underwater repair operations, dramatically increasing downtime and costs compared to land-based centres.

Wave energy itself remains inconsistent. Power generation fluctuates with seasonal weather patterns, creating reliability issues for systems requiring constant electricity. Energy storage solutions needed to smooth these variations add further complexity and expense.

The startup's timeline and technical feasibility remain unproven. While the renewable energy aspect appeals to sustainability goals, experts question whether the maintenance burden and environmental risks outweigh the benefits. Underwater cable systems could disturb marine ecosystems, and equipment failures pose pollution hazards.

The concept reflects genuine innovation in addressing AI's energy crisis, but scept