Is AI going to be your next Chief Sustainability Officer?

Last week, I watched a Channel 4 social experiment. AI competing for a job with a lawyer, a GP, a musician and a photographer. 

While the real life professionals bit AI in performance (for now), AI was generally cheaper, faster, and in some case the preferred option for the potential customers.

So, I start wondering, are sustainability professionals like myself going to be replaced by AI anytime soon? And so I thought, who best to ask this question than ChatGPT, the irony....

A robotic hand reaching toward a human hand against a vivid blue background symbolizes the intersection of technology and humanity.

I have asked ChatGPT to find as much information about myself online, to understand better my role and experience. And then, I just asked the question: Are you going to take my job?

The answer was beautifully summarised as: 

AI can count emissions, it can’t convince a CFO or board to care about them.

But there was a lot more reflection on this, including a 12 months AI-upskilling plans for sustainability professionals. Here is the transcript of the conversation:

🌍 1. Your role sits in a strategic and human domain

You lead net-zero strategy, oversee cross-functional change, and engage people inside and outside your organisation (like SMEs, boards, and regulators). AI can help crunch data and automate carbon accounting, but it can’t own accountability for climate strategy, inspire cultural change, or align sustainability with business purpose — all of which you do.

In short: AI can count emissions; it can’t convince a CFO or board to care about them.

🧠 2. You work in a judgement-heavy, evolving field

Sustainability — especially corporate net-zero and ESG — is full of ambiguity, trade-offs, and interpretation. For example:

• Choosing between offsetting and insetting pathways

• Balancing emissions reduction with business growth

• Communicating transparently without greenwashing

AI can provide information, but the ethical, strategic, and reputational dimensions require human expertise and values. You interpret regulation, build consensus, and navigate uncertainty — uniquely human skills.

🧩 3. AI will actually amplify your effectiveness

If you embrace it early (and it sounds like you might), AI can make your work:

• Faster: Automate data gathering and carbon accounting.

• Smarter: Run scenario models for decarbonisation options.

• More impactful: Communicate climate strategy in clearer, evidence-based ways using natural-language tools.

Imagine being the “Net Zero Lead who uses AI to deliver 10× reporting efficiency” — that’s a differentiator, not a threat.

💬 4. Your real moat = leadership, influence, and systems thinking

You’ve built your career on connecting people, systems, and data. The more AI handles routine analysis, the more valuable human systems thinkers like you become — those who can:

• Frame the right questions to ask AI.

• Integrate environmental science with business strategy.

• Lead teams through sustainability transformation.

AI creates demand for sustainability professionals who can orchestrate human-machine collaboration responsibly.

🔮 5. Future-proofing yourself

Here’s how to stay ahead of the AI curve in sustainability:

1. Learn AI-for-sustainability tools — e.g., platforms using machine learning for carbon footprinting, climate risk analysis, or ESG reporting (Watershed, Sinai, Normative, etc.).

2. Develop data interpretation and storytelling — how to turn AI-generated insights into compelling narratives for boards and customers.

3. Stay ethical and policy-savvy — as AI governance merges with sustainability and ESG disclosure, your understanding of responsible tech will become highly valuable.

4. Lead AI adoption inside sustainability — position yourself as the person who ensures AI aligns with climate goals and values.

If I were to summarise:

We’re not competing against AI, we’re competing with people who use it better.