Three ways organisations can balance AI adoption with sustainability goals

Artificial intelligence is rapidly becoming part of everyday working life. From drafting content and analysing data to automating routine tasks, AI is helping organisations improve productivity, enhance decision making, and create more efficient ways of working. 

But as AI adoption accelerates, so does awareness of the resources required to support it. Research from USwitch Business Energy estimates that use of AI in workplaces consumes 1.37 GWh of electricity each year in Britain, driven by approximately 22 million AI prompts generated every working day. That's enough energy to power around 508 UK homes annually. 

While figures like these have sparked debate about AI's environmental impact, organisations do not have to choose between technological innovation and sustainability. In fact, the two can complement one another.  

When implemented strategically and responsibly, AI can help employers drive efficiency, reduce waste, and support broader environmental, social, and governance (ESG) objectives. 

Here are three ways organisations can embrace AI while staying aligned with their sustainability goals: 

1. Focus on purposeful AI adoption 

As with any technological investment, the greatest benefits come when AI is introduced with a clear purpose and strategy. 

With AI tools becoming increasingly accessible, organisations can easily fall into the trap of adopting technology simply because it is available. However, introducing AI without clearly defined objectives can lead to duplicated processes, unnecessary costs, and inefficient use of resources. Instead, employers should identify specific business challenges or opportunities where AI can deliver measurable value and support wider organisational goals. 

As Michele Smith, Managing Director of Reed's technology division, noted in our webinar, ‘Workforce planning in 2026: How AI is reshaping talent strategy’: "AI is obviously removing all the low complexity, high volume, repeatable work." While this presents significant opportunities for improving efficiency, it also highlights the importance of deploying AI where it can deliver meaningful business value. 

This makes it increasingly important for organisations to take a considered approach to adoption. Rather than encouraging blanket use across all activities, leaders should assess where AI can be most effective, whether that's improving customer service, streamlining administrative processes, supporting data analysis, or enhancing decision making. 

A clear AI strategy should also establish guidelines around when and where the technology should be used, helping to ensure investments are aligned with business priorities. By focusing on meaningful use cases from the outset, organisations can maximise the value of AI while avoiding unnecessary consumption of time, money, and resources.  

2. Equip employees with the skills to use AI effectively 

The success of any AI initiative depends heavily on the people using it. Without the right knowledge and training, employees may struggle to use AI effectively, leading to inconsistent outputs, repeated prompts, and unnecessary trial and error. 

Investing in AI literacy is therefore an important step for organisations looking to balance innovation with sustainability. Employees should understand not only how AI tools work, but also their strengths, limitations, and appropriate use cases. 

Training can cover areas such as effective prompting, critical thinking, fact checking, and the responsible use of AI-generated content. When employees know how to ask better questions and evaluate responses effectively, they are more likely to achieve useful results in fewer interactions. 

As Carlos Diaz, VP of People and Talent at Jasper, said in the same webinar: "The opportunity, really, for companies is to invest more in that education. Teach your most valuable talent how to use these tools and how to look for mistakes." 

Helping employees use AI efficiently can therefore support both productivity and more responsible resource use. Employees who understand how to craft clear prompts, assess outputs, and apply AI appropriately are more likely to generate accurate results the first time, reducing unnecessary interactions and improving consistency. 

In addition, stronger AI literacy can help employees identify new opportunities to improve processes, drive innovation, and enhance productivity across the organisation, ensuring AI delivers value beyond day-to-day task automation. 

3. Include AI in sustainability planning 

Many organisations already measure factors such as energy consumption, carbon emissions, and wider ESG performance. As AI becomes increasingly integrated into business operations, it should form part of those discussions. 

Rather than viewing AI solely through the lens of productivity or technological advancement, leaders should consider how it aligns with broader organisational priorities. This means assessing both the opportunities and responsibilities associated with AI adoption. 

In a recent 'ITBrief’ article, Ben Gallizzi, Energy Expert at Uswitch, explained: "As organisations continue to embrace AI, understanding the impact this could have on future electricity demand will become increasingly important. 

“Businesses already carefully monitor energy use from equipment, heating and lighting. As AI becomes more deeply embedded in workplace processes, organisations may also need to consider how digital tools contribute to their overall energy footprint."

 Including AI within sustainability planning allows organisations to take a more balanced and long-term approach. Leaders can ask questions such as: 

• How does AI support our sustainability objectives? 

• Can AI help improve operational efficiency and reduce waste? 

• Are there opportunities to use AI to support environmental initiatives? 

• How can we ensure AI is being used responsibly and efficiently across the organisation? 

• What governance measures should be in place to support sustainable use? 

By considering these factors early, organisations can create frameworks that encourage innovation while supporting responsible resource management. This can help ensure AI contributes positively to both business performance and sustainability goals. 

As AI becomes increasingly embedded in the workplace, organisations have an opportunity to balance innovation with responsible resource use. Those that take a thoughtful approach will be better positioned to support both business performance and sustainability objectives. 

If you’re looking for a talented professional to join your team or a new career to help you develop and grow, contact your nearest Reed office today.