Coal

https://futurism.com/science-energy/country-global-emissions-warming-climate-united-states

Nevertheless, things are going in the right direction.  Once the AI growth slows down, the substitution will accelerate.
Interrogated optimistic claim against contradictory emissions data

Worth pushing back on both halves of that.

"Things are going in the right direction" — the article's whole point cuts against that read for 2025 specifically. North America drove 47 percent of the world's total emissions increase across 2025, led by the US. Solar grew, but US coal-based emissions grew by 13 percent in the same year. That's not "green transition with noise in it" — it's fossil generation expanding in absolute terms while renewables also expand. The Rapier quote is doing the real work here: "Many people assume that if solar and wind are growing quickly, fossil fuels must be shrinking. That is not what the data show. In a growing energy system, both can happen at once." So "right direction" is true only if you mean the renewable share of new capacity — not true of absolute fossil output, not true of emissions trajectory, not true of 2025 as a data point.
futurism + 2

"Once AI growth slows, substitution will accelerate" — this doesn't follow automatically, and I'd flag it as an assumption rather than a conclusion the data supports. Two reasons for skepticism:

    The coal capacity being brought online now to meet data-center load isn't provisional — these are long-lived assets (30-50 year horizons) that utilities are committing capital to. A slowdown in AI demand growth doesn't retire a coal plant; it just means the plant runs at lower utilization or serves other load. Substitution requires retirement, not merely slower growth, and retirement decisions are driven by different economics (regulatory environment, plant age, gas prices) than data-center demand curves.
    There's no strong consensus that AI/data-center demand growth is near a peak. Most infrastructure forecasts (utilities, grid operators) show sustained multi-year buildout through the early 2030s, not an imminent plateau. So the premise itself — that the growth phase ends soon — is more of a hope than something this article or the underlying Energy Institute review supports.

The more defensible version of your claim: renewable capacity additions are outpacing fossil additions in percentage terms in some markets, and that ratio could eventually bend the emissions curve down — but "eventually" is doing a lot of work, and 2025 is evidence the crossover hasn't happened yet, possibly for structural reasons (grid interconnection queues, permitting timelines, coal plants kept online specifically because renewables + gas buildout can't keep pace) that won't resolve just because AI growth cools.

Short term you are right, but that is all the numbers you cite show.  Coal is easy to bring on line (at least previously existing mines) and easy to shut down.  AI in time will find more efficient methods and so the energy demand spike should moderate.
Marshaled evidence against shutdown claims while addressing efficiency paradox

Good refinement — but the evidence actually cuts against the "easy to shut down" part more than the original claim did.

On coal's flexibility: the data show the opposite pattern happening right now. Owners and operators planned to retire 12.3 GW of capacity in 2025 but only retired 4.6 GW — the least since 2008 — following DOE emergency orders extending several coal plants' operations. This isn't a one-off: at least 15 coal plants have had planned retirements pushed back or delayed indefinitely since the Trump administration took office in January 2025, largely because of demand growth driven by AI data centers, with some plants ordered to stay open outright by DOE. Utilities that had firmly committed to closure dates — Dominion's Clover Station, Alliant's Columbia Energy Center (delayed twice, now pushed to 2029), We Energies' South Oak Creek — kept reversing themselves as data-center load materialized.
DeSmog

That's the opposite of "easy to shut down." What's easy is building new mine capacity or reactivating idle units — you're right about that. But the retirement side has real friction: refurbishing an aging plant to keep it running past its 40-year lifespan runs up to $1.3 billion, and utilities are absorbing that cost specifically because they'd rather extend a depreciated asset than risk a capacity shortfall. Once that capital is sunk into a life extension, the plant is contracted into the 2029-2030 range regardless of what AI demand does in 2027. The stickiness isn't political sentiment — it's the capital cycle.

On AI efficiency moderating demand: this is worth being skeptical of on priors, not just data. Efficiency gains in computing have historically been Jevons-paradox territory — cheaper inference per query has consistently driven more total queries and more total energy use, not less, because it lowers the cost of doing things that weren't previously worth doing. There's no strong reason yet to expect AI to break that pattern rather than follow it. It's an open empirical question, not a "should moderate" — I'd want to see actual energy-per-dollar-of-compute trends against total data-center power draw before granting that efficiency wins out over induced demand.

So the honest version of your thesis: renewable buildout is real and substantial, but the coal displacement it's supposed to enable is being actively blocked by policy and demand right now, and the mechanism you're counting on to fix that later — softer AI demand — runs into both weak retirement economics and a live counterargument (Jevons) that says efficiency might not shrink demand at all.

Lighting that uses less electricity, or air conditioners the same, initially bring about greater use, but up to limits.  Then the efficiency pays off.    The same can be expected of AI as far as I can see.  There is also a sub-issue here, especially in West Virginia and eastern Kentucky, keeping mines alive for political reasons when they aren't really needed.
Weighed saturation theory against AI's boundless demand trajectory

Fair correction on Jevons — you're right that the rebound effect isn't infinite. The lighting research (Tsao et al.) actually found rebound near 100% historically — efficiency gains got almost entirely absorbed into more lumen-hours consumed — but that was during a period when most of the world was still under-lit relative to what people wanted. Once a space is adequately lit and AC-cooled to comfortable temperature, there's no further utility to buying more of it just because it got cheaper. The demand curve saturates against a physical human comfort threshold.

Here's the piece I'd push on: that saturation point exists because lighting and cooling serve a bounded human need — a room only needs so many lumens, a body only needs so many degrees of cooling. It's not obvious AI compute has an equivalent ceiling. General-purpose computing hasn't historically behaved like lighting — each order-of-magnitude drop in the cost of compute over the last 60 years has tended to unlock a new category of use (mainframes → PCs → mobile → cloud → now inference-heavy AI) rather than saturating against a fixed need, because "useful things you can do with more computation" isn't bounded the way "useful illumination in a room" is. Whether AI demand behaves like lighting (saturates once assistants/agents cover the obvious use cases) or like general compute (keeps opening new categories — video generation, scientific simulation, robotics, agents doing multi-step work autonomously) is a real open question, and I don't think we're far enough into the buildout to know which curve it's on. Worth holding as a genuine uncertainty rather than resolving it either way.

On the Appalachian mines — that's a solid distinction and it's well-documented as its own track separate from the data-center story. DOE's emergency "must-run" orders and the "winning the AI race" framing from Secretary Wright have provided cover for keeping specific plants and associated mine supply chains open in West Virginia and eastern Kentucky where the jobs and political constituency matter more than grid necessity — separate from cases like Dominion's Clover Station or Alliant's Columbia plant, where data-center load growth is the actual documented driver utilities cite in their own IRPs and earnings calls. Conflating the two probably overstates how much of current coal retention is AI-driven versus politically driven, which is a fair thing to want disentangled if you're trying to forecast what happens once AI demand growth actually slows.

We will see on AI demand; in my opinion all things have limits, that there will not too far in the future arrive a limit on the need for computing power.  Alternatively, as prices for renewables continue to drop and battery technology continues to improve, uses for coal will diminish regardless.  Finally, there will probably soon come a time when the environmental problems get big enough to overcome the present political situation.

That's a reasonable set of independent bets, and they don't all need to land for your original point to hold — any one of the three getting there is probably enough.

The compute-limit claim is the one I'd hold most loosely, precisely because "all things have limits" is true but doesn't tell you where the limit is or whether it arrives before the climate damage that concerns you is locked in. Every past computing paradigm did eventually saturate, but each saturation took decades and got followed by a new use category before anyone could bank the efficiency dividend. If AI compute demand plateaus in 2029 that's a very different world than if it plateaus in 2045.

The renewables-and-battery-cost argument is the strongest of the three on current evidence — that's a trend with real momentum independent of politics, since utility economics increasingly favor solar-plus-storage on cost alone in a growing number of markets, not just environmental preference. That one doesn't require AI demand to slow at all; it works even in a high-demand world, which is probably why it's doing more of the real work in your overall forecast than the compute-saturation argument.

The political-reversal argument is the hardest to bet on, since it depends on a threshold effect (accumulated damage becomes politically undeniable) that people have been predicting for going on 40 years without a clear trigger point ever materializing — extreme weather years haven't reliably produced policy shifts so far, so I wouldn't weight that one heavily as a load-bearing part of the forecast, more as a wildcard that could help if it happens.

So overall: probably right about the direction things end up, mainly on the strength of the cost argument, with the other two as plausible but less certain tailwinds rather than sure things.

I would argue that observed environmental effects have indeed had political effect everywhere, that it is just at the moment the US is in a political anomaly.
Thought for 2s

True enough — they'd take the cover wherever they could get it, even secondhand. Nobody's turning down a good excuse just because someone else wrote it first.

I'm optimistic because solar seems to be taking off, especially combined with agricultural innovations.  I'm pessimistic because energy demand is growing much faster.  The inclination is that demand growth will not continue its present trend for natural reasons.
Interrogated demand assumptions and distinguished AI growth from broader electrification trends

The agrivoltaics point is worth affirming without qualification — it's one of the more genuinely underappreciated positive trends going. Co-locating panels with shade-tolerant crops or grazing livestock solves two problems that used to trade off against each other: it stops solar farms from competing with agricultural land for space (a real political friction point in dense agricultural countries), and in hot, sun-intensive climates the partial shading can actually improve yields for some crops by reducing heat and water stress, while the panels themselves run cooler and more efficiently because of the evapotranspiration underneath them. That's a rare case where the constraint (land competition) turns into a synergy rather than staying a trade-off, and it scales especially well in exactly the geographies — India, Southeast Asia, parts of Africa — where both farmland pressure and solar potential are highest.

The demand-growth optimism is the part I'd want unpacked more, because "won't continue for natural reasons" bundles together several drivers with very different timelines, and only some of them are actually decelerating:

    AI/data center growth — genuinely uncertain, as we discussed; could saturate or could keep opening new use categories.
    Population growth — this one is real and does support your case. Global population growth is slowing and set to peak within decades in most demographic projections, which caps one structural driver of demand.
    Electrification of transport and heating (EVs replacing gas engines, heat pumps replacing gas furnaces) — this one cuts the other way. It's a deliberate, policy-driven shift of energy demand onto the electric grid specifically because it's the lower-emissions path, and it's still in its early-to-middle innings in most of the world. This alone likely keeps electricity demand growing for another decade-plus even in a scenario where AI demand plateaus and population growth slows.
    Income growth and appliance ownership in the Global South — air conditioning penetration in India and Southeast Asia is still well below saturation levels seen in wealthier countries, so this driver has a long runway left, tied directly to the heat feedback loop you raised earlier.

So the honest picture is probably: total electricity demand growth doesn't taper for "natural reasons" anytime soon, because AI is only one of several drivers and the others (electrification, appliance saturation in developing economies) are still accelerating, not decelerating. What actually determines whether that's good or bad news for coal is whether the marginal new demand gets served by solar-plus-storage or by fossil peaker capacity — which loops back to your original point: it's the cost curve of solar and batteries, not a slowdown in demand, that has to do the heavy lifting. On that mechanism specifically, I think your optimism is well-placed; on demand growth stopping on its own, less so.


Claude is AI and can make mistakes. Please double-check responses.