Europe puts a data centre energy label on the grid, California sends the bill

Share
Europe puts a data centre energy label on the grid, California sends the bill

The European Commission proposed a mandatory A-to-G sustainability label for data centres, with the first labels expected to appear in 2027. The delegated regulation, published Monday, requires operators of facilities of 500 kW or more to disclose how efficiently they use energy and water, how clean their electricity is, and whether they can hand waste heat back to the local grid — plus information on how their water use sits against water stress in the area. Smaller sites can adopt the label voluntarily. It does not cap consumption or force operators to publish total power use, and EU governments and the European Parliament have two months to object before it enters into force, with the rules applying from August 2027.

The stakes are arithmetic. Data centres already draw around 2.5% of EU electricity, capacity is expected to more than double to 28 GW by 2030 from 12 GW last year, and Brussels wants to triple data centre capacity over seven years to keep pace on AI. Energy Commissioner Dan Jørgensen was explicit that Monday's label is stage one: minimum performance standards, which the Commission wants to present in spring 2027, "will put more pressure on those who may not voluntarily wish to be as sustainable as we want them to."

The uncomfortable number is 36%. That is the share of EU sites that currently disclose what existing energy-efficiency rules already require of them, per an accompanying Commission report — so a rating built on self-reported figures is only as strong as the reporting underneath it. A Commission document seen by POLITICO suggested around 20% of Europe's data centres could land at the bottom of the scale. Industry is already pushing back: the European Data Center Association warned earlier this year the requirements would kill investment, and CCIA said the scheme "overlooks engineering and geographic realities."


Governor Gavin Newsom signed seven bills ordering California's data centres to report water and electricity use — and to pay for the grid and water upgrades they need. The package covers reporting (AB 1577), water-use disclosures and water resources (AB 2469, AB 2619), and electricity cost allocation (AB 2383, SB 886, SB 1168), which routes transmission, distribution and generation costs onto data-centre customers instead of ordinary ratepayers. SB 887 strips data centres of blanket environmental exemptions: they must show state standards on energy, water and fuel use are met before any judicial streamlining. Newsom framed it as a split with Washington — "we are ensuring that Californians remain in the driver's seat — and that those profiting from data centers aren't doing so at our expense."

Note the difference in instrument. Europe is grading; California is billing. Both land in the same place, because the political pressure is identical: we covered the local opposition that blocked $68 billion of US data centres in one quarter this morning, and 61% of Americans now oppose local data centres. Washington's answer so far has been a House bill to make data centres pay their own power costs — the 417–3 vote — and deregulation from the White House. The states and the EU are filling the gap. For the wider context on why this fight has numbers attached, our explainer on how much power AI actually uses is the background.

What to watch: whether member states object within the two-month window, and whether spring 2027 brings binding thresholds rather than labels.

Should an energy label decide where the next data centre goes, or should the community next door get a veto? Tell us in the comments.

Read more

Akhetonics says its all-optical CPU reaches a customer in 2026

Akhetonics says its all-optical CPU reaches a customer in 2026

Light-based computing keeps promising more than it delivers — but one Munich startup has just put a date on its bet, and the interview laying it out is doing the rounds on Hacker News this week. Akhetonics says it will deploy its first commercial machine with a major customer by the end of 2026, with several more planned for 2027. The company, founded by Michael Kissner and Leonardo Del Bino, is building a computer where data enters as light, is switched as light, and circulates through memory

The Week in AI — October 5–11, 2026

The Week in AI — October 5–11, 2026

Every big claim this week turned out to rest on fine print more interesting than the headline: revenue only the company reporting it can define, safety tests sandboxed while the product keeps the web, and a Pentagon phase-out nobody would confirm until reporters kept asking. The week's top 5 1. OpenAI's revenue was $20 billion below the numbers everyone quoted — and the gap was definitional. The Financial Times reported Thursday that OpenAI's annualized revenue runs roughly $20 billion unde

Drone strike shuts a third Yandex data center, taking YandexGPT offline

Drone strike shuts a third Yandex data center, taking YandexGPT offline

Russia's largest tech company is learning what the AI era's infrastructure war looks like from the receiving end — three data centers in four days, and with them much of the cloud layer Russian businesses run on. A Ukrainian drone strike knocked out Yandex's data center in Vladimir early Sunday morning, the third of the company's facilities hit since October 8. The site — reported at roughly 50 MW and designed for about 2,880 server racks — stopped operating completely after the attack, Yandex

Agent teams cost up to 5x more, barely score higher

Agent teams cost up to 5x more, barely score higher

The multi-agent hype train hit a benchmark this weekend — and the grid and the trucking regulators had quiet weeks of their own. Vals AI put agent teams head-to-head with single agents on its Vibe Code Bench, and the teams cost between 1.8 and 5.1 times more for almost no extra quality. The evals company ran GPT-6 Sol and Claude Opus 5.5 solo and in teams across 50 apps at two reasoning efforts; out of four comparisons, only one was statistically significant — Sol at medium effort, where the t