Let's start with a sobering fact: training a single advanced AI model can consume more electricity than 120 U.S. homes use in an entire year. As global AI adoption accelerates, projections indicate data center energy demand could double before 2030. We are, in essence, trying to power a new industrial revolution with a grid designed for the last century. The explosive growth of artificial intelligence is hitting the hard, physical ceiling of terrestrial power generation.
This isn't just a problem for computer scientists; it's a foundational crisis for our technological future. Lado Okhotnikov, founder of the holistic biotech platform Holiverse, cuts to the core of the issue: "The problem is becoming especially urgent now, as AI is advancing rapidly and its energy demands are growing just as fast." His work, which focuses on the synergy of human biology and technology, frames this as a systemic challenge. "Even today," he stresses, "we must think about where we will source that energy without compromising people's lives or existing industries."
The current answer, for many, lies in renewable energy. Lado Okhotnikov acknowledges this progress: "Renewable energy collected on Earth is no longer a fantasy: many countries are actively transitioning to it, and I hope this shift will only accelerate." Indeed, wind, solar, and geothermal are essential pillars. Yet, they come with inherent limitations—geography, weather, and the simple fact of nightfall. They form a vital bridge, but may not be the ultimate destination for a civilization aiming to sustain a perpetually learning, global AI ecosystem.
How Lado Okhotnikov Sees the Energy Future of AI
This reality forces a difficult question: what comes next?
For visionaries like Lado Okhotnikov and a growing cadre of experts, the logical answer lies not on Earth, but above it. "However, terrestrial resources are not limitless," Okhotnikov notes. "Very soon, we will have to look to space—because the future, without question, belongs there."
The concept is Space-Based Solar Power (SBSP). Imagine vast, lightweight solar arrays in geostationary orbit, bathed in unfiltered sunlight 24 hours a day. They would convert this energy and beam it wirelessly—via safe, low-intensity microwaves or lasers—to receiving stations on Earth. The result is baseload, carbon-free power, transmittable to any point on the globe. This is not science fiction. The European Space Agency, NASA, and global research institutions are conducting serious feasibility studies. A 2025 analysis for the European energy grid suggested such systems could provide the stable backbone that intermittent renewables cannot.
"The solar power we can collect here on Earth is only a tiny fraction of what is available in space," Lado Okhotnikov observes, his perspective rooted in long-term horizons. "In my view, this is where an enormous potential lies for new developments—and this is exactly what we are working on at Holiverse." As a logical extension of its philosophy—integrating disparate systems into a cohesive, sustainable whole—the company is actively investigating designs and collaborations to match future AI infrastructure with space-generated power.
Holiverse and the Long-Term Architecture of Space-Powered AI
The path to solar electricity in space is certainly challenging. International governance, orbital construction, transmission efficiency, and launch costs are major challenges. However, given advancements in materials science and reusable rockets, these are increasingly viewed as engineering and diplomatic problems that could be overcome.
Holiverse positions itself as a strategic pioneer in this transition. "We are developing technologies capable of powering the next era of AI," Okhotnikov states. "It's a demanding process that brings together some of the brightest minds in this field, and I believe that in the foreseeable future we will be ready to take tangible steps toward making this project a reality."
The implications are profound. Redefining possibilities would result from releasing AI from terrestrial energy limits. Power budgets would no longer be a barrier to research. A ubiquitous, sustainable energy network may power the massive computational workloads needed for material science, personalized medicine, and climate prediction.
Code and algorithms won't be the only tools used to create AI in the future. The energy we decide to give it will write it. From Holiverse to the specialists rethinking government, pioneers on this path recognize that in order to genuinely advance intelligence, we must first look aloft, beyond the boundaries of our globe. Using the sun's limitless power could be the key to the next major advancement in artificial intelligence.
