Perspectives

Point of view.

What we think about AI, sustainability and the decisions the data should change. New pieces appear on LinkedIn first.

The principle

If it doesn't change a decision, it's reporting, not intelligence.

The Environmental Profit & Loss account at Kering was never meant to be a report. It put a cost on supply-chain impact so executives could weigh it against margin, and its main finding reset the Group's priorities: more than 66% of the impact sat in raw materials.

Frontier AI deserves the same test. It can now read a fragmented supplier estate, a decade of disclosures and a shifting rulebook in days. That is only useful if someone does something different on Monday morning. So every piece of our work starts by naming the decision, who makes it, and what would change it.

Talks

Your climate risk model stops too early

Why exposure assessment follows the org chart instead of the material flow, and what sits in the gap.

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Most Scope 3 plans are aimed at the wrong lever

Supplier energy versus overproduction, inventory, and demand forecasting.

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What frontier AI actually changes for sustainability teams

Capability, limits, and the governance question that stalls adoption.

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Use cases

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