Interview review · Global sustainability, supply chain & product

The second five years begin where the easy wins end.

Five years of program shipped. Five years now open — 2026 to 2030 — in the two loudest load curves on the planet: the AI PC on the desk and the AI datacenter behind it. This is a working roadmap: global goals, industry and market benchmarks, supply-chain data intelligence, LCA modelling, and the business decisions that actually move tonnes. Research and refresh only. Nothing confidential. Everything sourced.

415 → 945TWh of global data-centre electricity, 2024 to 2030 (IEA, Energy and AI, 2025)
−45%ICT sector GHG reduction between 2020 and 2030 in the 1.5 °C trajectory (ITU-T L.1470)
70–90%share of a client device's footprint that sits upstream of our own factories — Scope 3, categories 1 & 11
1.56average reported PUE plateau across surveyed operators (Uptime Institute) — efficiency alone has stopped paying

No one decarbonizes alone. A roadmap only one company can read isn't a roadmap — it's a wish with a logo on it.

Framing for the 2026–2030 review

The wedge, honestly drawn

Technical roadmap · 2026 → 2030
tCO₂e — indexed, whole value chain 20262027202820292030 demand-driven path target path
  • Carbon-free electricity, hour by hourSite-matched CFE, VPPAs with additionality, granular certificates, grid-aware siting and flexible load.
    34%
  • Use-phase efficiency per unit of workPerf/W at rack and NPU level, liquid and immersion cooling, idle and power-capping policy, model-side efficiency.
    24%
  • Embodied carbon: silicon, boards, metalsFab electricity and process gases, low-carbon aluminium and steel, packaging, upstream logistics mode shift.
    22%
  • Lifetime, repair, second lifeLonger service life, refurbishment channels, modularity, recovered-material content, take-back at scale.
    12%
  • Residual — durable removalsWhat abatement cannot reach by 2030, contracted with measurement, verification and honest permanence claims.
    8%

How to read it: the weights are illustrative planning weights for the review conversation, not commitments and not company data. The point of the shape is that the top wedge is grid-shaped — largely outside any single firm's factory — and the bottom wedge is a cost, not an achievement.

Six sites, one grid

Nothing here works one-sided

Site — Global goals

The maths we did not choose

Paris and AR6 set the budget; SBTi turns it into a corporate rate; GHG Protocol decides what counts and how. The live edges for 2026–2030 are the Net-Zero Standard V2 debate, the Scope 2 market-based revision, and whether ICT keeps its own −45%-by-2030 trajectory.

Site — Industry benchmarking

Compare like for like, or don't compare

PUE has flattened; the useful metrics now are perf-per-watt under a declared workload, WUE in stressed basins, and product carbon footprints computed the same way twice. Semiconductor Climate Consortium, OCP and MLCommons are where those definitions get argued in public.

Site — Market benchmarking

What the buyer is now asking for

The AI PC refresh cycle put TOPS-per-watt on the spec sheet; enterprise and public tenders put hourly CFE, PCF per SKU and repairability beside price. Marketing claims that cannot survive an ESPR-style substantiation test are becoming a liability, not a differentiator.

Site — Supply chain data intelligence

From spend-based to measured

The 2021–2025 program ran on averages. The next one cannot: primary supplier energy and process-gas data, PACT-conformant product footprints exchanged machine-to-machine, hourly certificates where the claim is hourly, and assurance that survives an auditor.

Site — LCA modelling & data

Where the uncertainty actually lives

ISO 14040/44/14067 give the frame; ecoinvent and the JRC EF datasets fill the gaps; the gaps are exactly where AI hardware sits — advanced nodes, HBM stacks, substrate, and grid mixes that change every hour. Publish ranges and the cut-off rules, not single hero numbers.

Site — Business decision

Tonnes priced against capital

A marginal abatement cost curve rebuilt on measured data, an internal carbon price with teeth at the capex gate, PPA versus on-site versus tariff structures, and product trade-offs stated openly: thinner, or longer-lived? Cheaper cell, or lower embodied carbon?

2026 → 2030, year by year

Anchored to public dates, not internal ones

Questions I want in the room

Open, not rhetorical
  1. If the grid decarbonizes slower than the load grows, whose target breaks first?Ours, the cloud customer's, or the utility's — and which contract clause decides?
  2. Is hourly CFE worth its premium in every market, or only where the marginal emissions factor is genuinely dirty?What is the honest cost per tonne, market by market?
  3. Does a longer-lived AI PC beat a more efficient one?At what NPU efficiency gain per generation does replacement actually win on lifecycle terms?
  4. What do we do when two ISO-compliant LCAs of the same board differ by 40%?Whose dataset wins, and do we publish the range?
  5. How do we count process gases and fab electricity at advanced nodes without asking suppliers to expose yield?Aggregation, third-party assurance, or sector averages with a penalty for opting out?
  6. Should embodied carbon be a bidding criterion with a weight, or a gate with a threshold?Weights get traded away; gates stop deals. Which do we mean?
  7. Who pays for a supplier's on-site renewables — them, us, or the customer?And how is the resulting reduction claimed only once across the chain?
  8. What is our internal carbon price actually allowed to veto?If the answer is nothing, it is a number, not a policy.
  9. Where does water, not carbon, become the binding constraint?Cooling design and site selection in stressed basins may decide the roadmap before emissions do.
  10. What claim will we deliberately not make?Restraint is now a competitive asset under substantiation rules.

What's next

Four moves, in order of dependency
Bring your challenge to the review

Reference library

For deep diving · all public sources

Grouped the way the roadmap is built. Figures quoted on this page come from the IEA, ITU and Uptime Institute sources below; everything else is method, standard or benchmark material.

Materials, circularity, removals

Ecosystem reporting to read side by side

Read peer reports for method, not for score. The interesting differences are in boundary, matching and data quality statements — not in the headline percentage.