Datacentres drive up big tech's carbon emissions to a third of those of France
Rapid growth in AI and cloud data centers is driving tech giants’ carbon emissions to levels comparable to a significant share of a developed country’s output, raising alarms about both climate impact and strain on national power grids. Commenters argue over whether new data centers should be forced to supply their own clean energy or face stricter carbon pricing, pointing to grid bottlenecks, questionable carbon offsets, and political resistance to nuclear and other large-scale projects. Others question whether the societal value of ever-expanding compute justifies the environmental costs, especially when usage is subsidized and externalities are not fully priced in.
Scale of data center emissions and electricity use
- Datacenters’ emissions are framed as “huge”, with some noting they now reach roughly a third of France’s emissions.
- Context: France already has relatively low‑carbon electricity due to nuclear, so the comparison may undersell the impact.
- Irish stats cited: datacenters now use 23% of Ireland’s metered electricity, up from 5% in 2015, which many see as extreme, especially given high local power prices.
Grid constraints, interconnection, and who pays
- Several comments highlight long interconnection queues and slow grid studies as a bottleneck for adding new generation (including solar).
- There is disagreement: some say new solar connects rapidly; others say that hides a massive backlog.
- Some claim datacenter developers avoid paying for proper grid upgrades and externalize costs; when required to pay upfront fees, many projects reportedly vanished.
- Datacenters increasingly install onsite fossil generation (diesel, gas turbines) due to grid and permitting constraints, raising “Scope 1” emissions.
Policy ideas: nuclear, renewables, and carbon pricing
- Strong support from some for massive nuclear build‑out plus high CO₂ prices pegged to real carbon removal costs.
- Others stress that political trends (regulatory dismantling, right‑wing backlash) make robust carbon pricing and regulation unlikely.
- Suggestions:
- Require datacenters to over‑provision solar and batteries, acting as grid anchors.
- Mandate carbon‑free or at least non‑CO₂‑positive power for new facilities.
- In the EU, some note datacenters are within the emissions trading system, sharing a shrinking cap.
AI demand, “needs,” and degrowth
- Debate over whether society “needs” current and future levels of AI compute, or if it’s mostly frivolous or harmful usage.
- Some argue compute demand is effectively unbounded and we should maximize clean electricity (even invoking Dyson‑sphere‑scale thinking).
- Others worry datacenters crowd out existing consumers and worsen climate impacts; some advocate delaying or restricting new AI datacenters until they are cleanly powered.
- There is tension between calls for “degrowth” in energy use and arguments that progress, like hot/cold water or AI, naturally expands consumption.
Economics, subsidies, and bubble risk
- Disagreement on whether AI inference is subsidized:
- One side says large providers are unprofitable and subsidized by venture capital.
- Others point to low‑cost models and independent APIs as evidence that at least lower‑tier inference can be profitable and cheap.
- Concerns raised about financial structures (e.g., index inclusions of AI‑related firms) channeling retirement savings into a potential AI bubble whose collapse could have broad impacts.
Skepticism about climate policy tools
- Many are skeptical of “carbon neutrality” claims and carbon offsets, seeing them as largely cosmetic.
- Some mock small‑scale consumer regulations (e.g., straws, bottle caps, plastic fees) as inadequate or symbolic compared to unchecked growth in datacenter emissions.