Case Study: Salesforce Scope 3 Target Shift

Scope 3 Targets for Tech Companies and AI: Where Do We Go From Here?

There's a move happening in enterprise tech that isn't getting the attention it deserves.

Salesforce — one of the earliest companies from any industry to commit to net zero, back in 2015 — has fundamentally shifted its Scope 3 strategy [Trellis]. And they're not alone. This isn't just a footnote in an annual sustainability report. It's a signal about what's coming for IT companies with climate commitments.

What Changed and Why

In its most recent stakeholder impact report, Salesforce moved from an absolute Scope 3 reduction target to an economic intensity target — measuring emissions relative to gross profit rather than in absolute terms. The company describes this as a "more actionable and pragmatic" approach, one that's "more practical given that growth may outpace the global rate of decarbonization."

Here's what's driving that: Scope 3 represents more than 90% of Salesforce's total emissions. And despite real progress on Scopes 1 and 2 — the company hit its 2030 reduction goals for operations and electricity use two years early — absolute Scope 3 emissions swelled 10% between 2019 and 2025 [Trellis]. The culprit: AI-related emissions, “including in the data centers that power its AI products,” canceling out other gains.

This isn't a Salesforce-specific problem. AI data centers are projected to consume 12% of all U.S. electricity by 2028. Amazon, Google, and Microsoft have all seen emissions increase as AI investment has accelerated. Design software firm Adobe made a similar Scope 3 intensity target shift in August 2024. Other well-known software developers are reportedly weighing the same move as part of SBTi's mandatory five-year target reviews.

This is a sector-wide reckoning.

What I Like About This Move — And What Concerns Me

Salesforce didn't simply drop its target when the numbers stopped cooperating. They didn't quietly let a commitment expire. They pivoted — and there's real value in that.

That said, the new target deserves scrutiny. Trellis analyzed Salesforce's emissions intensity since its 2019 baseline and found the company had already reduced intensity by 62% — meaning it may hit its new near-term goal as early as 2026, just one year after setting it. There's also a structural limitation worth understanding: if Salesforce's gross profit grows by more than 50% over the next five years, the company could meet its intensity goal while absolute Scope 3 emissions still increase.

The pitfall of profit-based intensity targets isn't theoretical. It's math.

My bigger concern is the long-term horizon. Simultaneously shifting the 2031 and 2041 targets is a significant move. Why not adjust the near-term target to create breathing room, while using that time to learn, test, and build better data? 

Still, a pivot is better than a retreat. And the underlying challenge Salesforce is navigating is one that every tech company with a Scope 3 commitment will face.

Where AI Hits Your Scope 3: Categories 1, 8, and 11

For tech companies, the emissions picture for AI isn't coming from one direction — it's coming from multiple angles simultaneously, and it maps directly to the Scope 3 categories that are most difficult to control.

Category 1 — Purchased Goods and Services: Where are your suppliers starting to use AI? Many of your strategic suppliers are also software companies. As they expand AI capabilities, their own energy demand increases, potentially canceling out the decarbonization progress in their supply chains.

Category 8 — Upstream Leased Assets / Data Centers: Will the energy demands of AI outpace your data center suppliers' efficiency initiatives? Even suppliers who have made strong commitments are facing the same energy math as Salesforce. The decarbonization roadmap you agreed to with them two years ago may no longer reflect their actual trajectory.

Category 11 — Use of Sold Products: If your company is integrating AI into its software products, what does that mean for the downstream energy footprint of customer use? This is the category where I see the most uncertainty. Frameworks are catching up, but the data is still lacking to support a unified approach that provides actionable insights to drive outcomes in this category.

What Tech Companies Should Be Doing Now

This is manageable — but it requires moving before your target gets off track.

Start supplier engagement now. Salesforce's ability to navigate this situation is partly due to the fact that more than half of its strategic suppliers already have emissions reduction commitments embedded in their contracts. That kind of leverage doesn't happen overnight. If you don't have supplier engagement infrastructure in place, the time to build it is not when you're already off track.

Loop sustainability into AI implementation planning early. Every AI roadmap your company is building has emissions implications. Sustainability teams need a seat at the table during planning — not as a post-hoc check, but as part of scoping. The moment an AI use case is approved is the moment to understand its Scope 3 footprint.

Build your data infrastructure before you need it. Salesforce ran a dedicated data science effort — modeling headcount, expansion plans, revenue projections, and grid decarbonization forecasts. Not every company is resourced for that, but every company with a net-zero commitment should be improving Scope 3 data quality and building some version of scenario modeling, scaled to where they are.

Build the sustainability-product team relationship. Category 11 emissions are driven by product decisions. Sustainable AI strategy isn't a sustainability function problem — it's a product strategy problem that sustainability teams need to help frame.

Design flexibility into your targets from the start. SBTi's five-year review process is what surfaced this reckoning for Salesforce. Companies setting or renewing targets should build in review mechanisms and scenario contingencies from day one.

Why This Matters Beyond Compliance

The companies that get ahead of this problem aren't just protecting their net zero commitments — they're building competitive infrastructure.

Supplier engagement programs reduce supply chain risk and create the data visibility that cuts reporting time and costs. Sustainability-product alignment drives product development efficiencies and positions companies to win on increasingly common ESG-screened RFPs. And for companies with SBTi commitments, demonstrating a credible, data-driven Scope 3 strategy — rather than a reactive pivot — is what preserves stakeholder trust.

A pivot, executed well, is a story of resilience. An unmanaged miss is a reputational problem.

The Question for Your Organization

If AI is already woven into your product roadmap, it's already affecting your Scope 3 trajectory — even if you can't see it in the numbers yet.

The companies that will manage this well are the ones building the supplier relationships, internal alignment, and data infrastructure now. The ones that wait will spend far more time and resources responding to a problem they could have gotten ahead of.

If your ESG and product teams aren't already aligned on this, that's the first conversation to have.

Not sure where to start, → Book an Introductory Call.

Case Study Source — Trellis Article, October 1, 2025