Uploaded July 2026 | Updated September 2026, 2 weeks ago
Carbon data is becoming a condition of market access.
If your product-level information is weak, the problem is no longer reporting. It is whether you can sell.
I’m joined by Stephen Jamieson, Chief Marketing Officer for SAP Sustainability, to examine how product carbon footprints, Scope 3 data and digital product passports are moving into procurement, finance and supply-chain decisions. The operational problem is straightforward: most organisations still depend on averages, fragmented supplier information and sustainability systems that sit outside the processes where products, suppliers and investments are actually approved.
That matters now because regulation, customer requirements, energy volatility and geopolitical disruption are converging. EV batteries are only the beginning. Metals, fashion, packaging and other sectors are moving towards more granular, auditable product data. A company may complete its annual disclosure and still lack the evidence required to place a product on a market, challenge a supplier claim or understand its exposure to carbon-intensive inputs.
Three points changed how I think about the problem. First, AI does not automatically improve supply-chain decisions; it optimises the inputs the business trusts, so missing carbon, water or materials data can simply accelerate short-term thinking. Second, agentic AI could materially reduce the cost of analysing tens of thousands of products—but automation cannot assume accountability. Third, the real bottleneck is integration: unless sustainability data reaches procurement, financial planning and supply-chain operations, better reporting changes very little.
This is for supply-chain, procurement, operations, compliance, technology and risk leaders responsible for product access, supplier decisions and business continuity.
If you’re dealing with product carbon data or digital product passport readiness, I’d like to hear where the process is breaking down.
🎧 Resilient Supply Chain Podcast:
resilientsupplychainpodcast.com
Subscribe on YouTube and follow the podcast in your preferred app for weekly conversations on supply-chain resilience, operational risk and better decision-making.
⏱ Chapters and timestamps below.
Chapters / Timestamps
00:00 – No carbon data, no market access
00:31 – Carbon reporting becomes an operating condition
04:55 – Climate shifts from ambition to business economics
06:07 – Product carbon data enters the transaction
09:23 – Regulation gives way to cost and supply risk
11:34 – AI can optimise the wrong supply-chain metrics
14:48 – Agentic AI changes carbon-data economics
18:04 – Disconnected data makes AI sustainability fail
20:56 – Humans remain accountable for automated decisions
24:30 – Scope 3 breaks across multi-tier supply chains
27:59 – Product carbon data becomes a sales advantage
29:13 – Sustainability becomes the AI control layer
Carbon data is becoming a condition of market access.
If your product-level information is weak, the problem is no longer reporting. It is whether you can sell.
I’m joined by Stephen Jamieson, Chief Marketing Officer for SAP Sustainability, to examine how product carbon footprints, Scope 3 data and digital product passports are moving into procurement, finance and supply-chain decisions. The operational problem is straightforward: most organisations still depend on averages, fragmented supplier information and sustainability systems that sit outside the processes where products, suppliers and investments are actually approved.
That matters now because regulation, customer requirements, energy volatility and geopolitical disruption are converging. EV batteries are only the beginning. Metals, fashion, packaging and other sectors are moving towards more granular, auditable product data. A company may complete its annual disclosure and still lack the evidence required to place a product on a market, challenge a supplier claim or understand its exposure to carbon-intensive inputs.
Three points changed how I think about the problem. First, AI does not automatically improve supply-chain decisions; it optimises the inputs the business trusts, so missing carbon, water or materials data can simply accelerate short-term thinking. Second, agentic AI could materially reduce the cost of analysing tens of thousands of products—but automation cannot assume accountability. Third, the real bottleneck is integration: unless sustainability data reaches procurement, financial planning and supply-chain operations, better reporting changes very little.
This is for supply-chain, procurement, operations, compliance, technology and risk leaders responsible for product access, supplier decisions and business continuity.
If you’re dealing with product carbon data or digital product passport readiness, I’d like to hear where the process is breaking down.
🎧 Resilient Supply Chain Podcast:
resilientsupplychainpodcast.com
Subscribe on YouTube and follow the podcast in your preferred app for weekly conversations on supply-chain resilience, operational risk and better decision-making.
⏱ Chapters and timestamps below.
Chapters / Timestamps
00:00 – No carbon data, no market access
00:31 – Carbon reporting becomes an operating condition
04:55 – Climate shifts from ambition to business economics
06:07 – Product carbon data enters the transaction
09:23 – Regulation gives way to cost and supply risk
11:34 – AI can optimise the wrong supply-chain metrics
14:48 – Agentic AI changes carbon-data economics
18:04 – Disconnected data makes AI sustainability fail
20:56 – Humans remain accountable for automated decisions
24:30 – Scope 3 breaks across multi-tier supply chains
27:59 – Product carbon data becomes a sales advantage
29:13 – Sustainability becomes the AI control layer
