CategoryOpinion-Analysis
3 things sustainability professionals can’t afford to outsource to AI
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Amy Skoczlas Cole argues that three core functions must remain firmly in human hands as AI tools proliferate through sustainability teams. The piece rejects the premise that AI can simply replace strategic thinking in corporate environmental and social programmes. Skoczlas Cole's framing – that sustainability's role is embedding accountability into operating systems, not just hitting targets – positions the article as a pushback against casual automation of governance.
The core claim is sound. Materiality assessment, stakeholder engagement design, and board-level translation of climate risk require judgement calls rooted in an organisation's specific context, market position, and political economy. These aren't tasks AI excels at; they demand trade-off thinking and accountability that sit outside algorithmic optimisation.
What the piece doesn't do – and arguably should – is name the specific pressure sustainability teams face to delegate. Data consolidation, GRI mapping, scope 3 emissions inventory management: these are ripe for AI-assisted workflow. But Skoczlas Cole sidesteps the practical question: which tasks *can* safely move to AI without degrading strategy?
The article lands in an increasingly crowded space. ESG practitioners already understand that outsourcing due diligence or materiality to automation is a compliance and reputational risk. The real tension lies elsewhere: how to use AI to accelerate the mechanical work so human teams have bandwidth for the irreplaceable parts.