AI in recruitment: Why human judgement still matters in sustainability hiring

Artificial intelligence is becoming a much bigger part of recruitment. From CV screening and workflow automation to interview analysis and candidate matching, hiring processes are evolving quickly.

Used well, these tools can bring genuine benefits like reduced administrative workload, improved efficiency and help managing large volumes of applications more effectively.

But sustainability hiring presents a more complicated picture.

Sustainability careers rarely follow linear paths

In professions with clearly structured career routes, automated screening can work relatively well. Roles such as accountancy or audit often follow standard qualification pathways and predictable progression patterns.

Sustainability is different. Many experienced sustainability professionals have moved into the field from operations, engineering, finance, consulting, supply chain or strategy roles. Value comes from the breadth of their experience and their ability to connect different parts of a business together.

As a result, the strongest candidates do not always fit neatly into standardised application patterns or keyword-based screening processes.

Soft skills matter more than ever

As sustainability becomes more integrated into core business strategy, technical expertise alone is rarely enough.

Many organisations are also looking for professionals who can influence stakeholders, navigate ambiguity and work across multiple functions. These softer skills are increasingly important, particularly in lean sustainability teams where collaboration and communication are central to success.

While AI can support efficiency within recruitment, qualities such as judgement, adaptability and leadership are much harder to assess through automation alone.

The risk of over-reliance on automation

Recent research has started to highlight some of the limitations of AI-assisted hiring.

One study found that AI-generated CVs were significantly more likely to be preferred by AI screening systems than equivalent human-written applications. In practice, this suggests automated systems may favour familiarity and pattern recognition over broader context and potential.

In sustainability hiring, where careers are often non-linear and capability is highly contextual, this distinction is vital to ensuring the best candidates.

Why human judgement still plays a central role

Technology will continue to improve recruitment processes and there is clear value in using AI thoughtfully. The strongest outcomes are likely to come from approaches where technology supports human decision-making rather than replacing it entirely.

This is particularly relevant in sustainability, where understanding someone’s long-term potential often depends on more than technical alignment alone. Cultural fit, communication style, motivation and the ability to influence change across an organisation all play an important role.

Many of the strongest sustainability professionals are also not actively applying for roles. They are already embedded within organisations, leading projects and building capability internally. Reaching those individuals still depends heavily on relationships, market insight and human perspective.

As sustainability continues to evolve, hiring successfully in this space is becoming more nuanced rather than less. AI will undoubtedly shape recruitment moving forward, but in specialist areas like sustainability, people still understand people best.