Solar power is on course to become the largest source of electricity within the next decade, according to a BloombergNEF outlook described in the supplied report. The basic argument is straightforward: solar keeps getting cheaper, and that cost trajectory is becoming difficult for rival generation sources to match on economics alone.
Yet the same forecast points to a more complicated energy future than a simple clean-energy triumph. A historic rise in electricity demand, driven in part by artificial intelligence and the electrification of major industries, could preserve a meaningful role for fossil fuels well beyond the point where solar takes the top spot. In other words, solar may dominate the next era of power growth without fully displacing the fuels it is overtaking.
Why solar keeps pulling ahead
The report cited in the source material projects another 30% drop in solar panel costs by 2035. If that trend holds, solar would continue a pattern that has already reshaped power markets around the world: as manufacturing scales and deployment accelerates, costs fall further, creating a reinforcing cycle of adoption.
Two drivers stand out in the reporting. One is China’s industrial policy, which has supported manufacturing and contributed to a global oversupply that pushed prices down. The other is mass production itself. As more solar capacity is installed, manufacturers and developers continue to lower costs through scale, process improvements, and learning effects. A BloombergNEF executive quoted in the story says solar has become even cheaper faster than the usual pattern in which costs decline with each doubling of installed capacity.
The economic consequences are already visible. The report points to Pakistan, which added 25 gigawatts of solar over the last two years after natural gas prices rose sharply following Russia’s invasion of Ukraine. That example suggests solar’s expansion is not only a policy story or a climate story; it is also a hedge against fuel-price volatility and import dependence.
AI demand changes the shape of the transition
The clean-energy narrative becomes more complicated when the focus shifts from average costs to the specific needs of data centers. AI infrastructure is power-hungry, and data center operators value constant, predictable supply. The BloombergNEF outlook cited in the article expects data centers to drive substantial additions across multiple technologies, including utility-scale solar, other solar buildouts, natural gas, and even coal.
Most striking is the report’s conclusion that gas and coal could provide 51% of incremental electricity generation for data centers by 2050. The reason is not that they are cheaper than solar on a simple levelized basis. It is that they can run around the clock without requiring the same balancing strategies that variable renewables depend on.
That creates a strategic tension. The fastest-growing digital sector is also becoming one of the most influential buyers in future electricity markets. If hyperscalers and data center developers prioritize always-on capacity above all else, they may help preserve fossil assets that would otherwise lose ground more quickly.
The article frames this plainly: technology companies and data center builders could have an outsized influence on which energy sources remain viable through mid-century. That is a major shift. The energy transition is no longer being shaped only by utilities, regulators, and fuel producers. It is also being shaped by the computing demands of AI.
The rivals trying to fill the gap
Solar is not the only technology seeking a role in that future. The supplied report notes that long-duration storage, geothermal, and nuclear are all competing for a share of the data center buildout. Those technologies are attractive for the same reason gas remains durable: they may help provide firm or flexible power that complements intermittent generation.
Battery storage, in particular, appears to be gaining momentum. The article cites Google’s inclusion of $1 billion worth of 100-hour batteries from Form Energy in a recent data center project. Geothermal and nuclear are also described as promising after recent initial public offerings involving Fervo Energy and X-energy.
Still, the report suggests photovoltaics will remain hard to beat on cost. Even if alternative firm-power technologies grow rapidly, solar’s economics may ensure it remains the backbone of new generation. The question is whether the rest of the system can evolve quickly enough to reduce dependence on fossil backup as demand surges.
What the forecast really says
The important takeaway is not that solar is somehow failing to win. On the contrary, the source material portrays solar as the clear cost leader and the likely largest source of power by 2035. The harder truth is that leadership in installed capacity or total generation does not automatically settle the problem of reliability, load growth, or system design.
AI data centers are exposing that distinction in real time. Their electricity demand is helping create fresh opportunities for renewables at enormous scale, but it is also supporting the case for dispatchable power sources that can run continuously. That dual effect could slow the retirement of fossil infrastructure even as solar expands dramatically.
For policymakers and investors, this means the next phase of the energy transition may hinge less on proving solar’s competitiveness and more on solving the integration challenge around it. If storage, transmission, geothermal, nuclear, and other balancing resources advance fast enough, solar’s rise could translate into deeper fossil displacement. If they do not, solar may become the largest power source in a system that still leans heavily on gas and coal when digital demand peaks.
The forecast described in the report captures that contradiction well. Solar is winning on price. But the shape of the power system around AI may determine how complete that victory becomes.
This article is based on reporting by TechCrunch. Read the original article.
Originally published on techcrunch.com
