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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Chief Sustainability Officers are more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Chief Sustainability Officers are labeled "Resilient" because the most important parts of their job — setting strategy, holding companies accountable, and building trust with stakeholders — require human judgment and leadership that AI simply can't replicate. While AI is genuinely helpful for things like drafting reports, processing regulatory data, and speeding up audits, someone still needs to validate those outputs, make the tough calls, and take responsibility for the decisions.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is resilient
Chief Sustainability Officers are labeled "Resilient" because the most important parts of their job — setting strategy, holding companies accountable, and building trust with stakeholders — require human judgment and leadership that AI simply can't replicate. While AI is genuinely helpful for things like drafting reports, processing regulatory data, and speeding up audits, someone still needs to validate those outputs, make the tough calls, and take responsibility for the decisions.
Read full analysisAnalysis of Current AI Resilience
Chief Sustainability Officer
Updated Quarterly • Last Update: 5/13/2026

Right now, AI is mostly augmenting Chief Sustainability Officers (CSOs) rather than replacing them — which lines up with the relatively low automation scores on their most strategic tasks. A BSR study that interviewed representatives from 20 corporate sustainability teams to explore how AI is reshaping their work found that sustainability teams are using AI to draft reports, summaries, and emails, summarize external data and regulations, translate documents, create presentations, and synthesize large volumes of material into briefings — exactly the reporting and outreach tasks O*NET flags as most automatable [1]. One company integrated AI into compliance workflows and reduced review cycles by up to 75% [1], while another cut facility audits "from three months to two or three days." Deloitte similarly notes that AI can accelerate both halves of CSRD double-materiality assessments [2], from stakeholder interviews to peer benchmarking.
Strategy, supervision, and stakeholder accountability — the lowest-automation tasks — remain firmly human, because companies remain responsible for validating outputs, certifying results, and owning the consequences of decisions informed by AI.

Adoption is moving quickly because tools are cheap, commercially available, and tied to a real pain point: regulations like CSRD and ISSB are exploding in complexity. A guest post in ESG Today argues that traditional approaches to materiality assessments, Scope 3 mapping, and scenario planning are often too slow and resource-intensive, and generative AI can act as a powerful accelerant. But there are brakes.
BSR warns of a capacity gap — most leaders expect AI to change their work soon, but only a minority feel they have the skills to leverage it [1]. There are downsides for early-career workers too: Eco-Business reports that the rise in AI doing labour-intensive jobs like sustainability reporting is depriving junior and mid-level staff of experience and creating "massive talent issues" for CSOs [3]. The good news for students?
CSO Futures concludes that Chief Sustainability Officer roles appear safe from automation — but AI is already changing CSOs' mandate, rewarding people who can blend climate knowledge with curiosity about new tools.

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They help companies be more eco-friendly by creating plans to reduce waste, save energy, and promote green practices.
Median Wage
$206,420
Jobs (2024)
309,400
Growth (2024-34)
+4.3%
Annual Openings
22,200
Education
Bachelor's degree
Experience
5 years or more
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Supervise employees or volunteers working on sustainability projects.
Develop or execute strategies to address issues such as energy use, resource conservation, recycling, pollution reduction, waste elimination, transportation, education, and building design.
Develop, or oversee the development of, sustainability evaluation or monitoring systems.
Evaluate and approve proposals for sustainability projects, considering factors such as cost effectiveness, technical feasibility, and integration with other initiatives.
Review sustainability program objectives, progress, or status to ensure compliance with policies, standards, regulations, or laws.
Develop methodologies to assess the viability or success of sustainability initiatives.
Identify and evaluate pilot projects or programs to enhance the sustainability research agenda.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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