GitLab is expanding its use of artificial intelligence while simultaneously trying to reduce the environmental impact associated with the rapidly growing technology.
The software company says it is taking a more intentional approach to Sustainable AI by encouraging employees, suppliers and developers to consider the carbon footprint of the AI tools they use every day.
As companies across the technology sector race to integrate AI into products and workflows, concerns are increasing about the massive energy demands required to power cloud computing systems and large AI models.
GitLab Wants Responsible AI Use
GitLab, whose software tools are widely used by major global corporations, says it is not discouraging AI adoption. Instead, the company wants workers to make smarter decisions around how they use artificial intelligence systems.
According to Stacy Cline, the company’s senior director of sustainability, efficient AI prompts and workflows can help reduce both operational costs and energy consumption.
The company has already introduced internal guidelines that require AI vendors to disclose information about carbon emissions and environmental impacts as part of supplier agreements.
Those sustainability standards were introduced in 2025 as GitLab expanded AI features across its platform and internal operations.
Sustainable AI Integrated Into Development
GitLab’s environmental strategy is closely tied to what it calls its “Green DevOps” policy.
The initiative encourages teams to consider sustainability during software development, including evaluating the environmental cost of cloud computing services used to train or run AI systems.
The company says it is focusing on understanding AI-related emissions, improving measurement systems and increasing transparency around its environmental impact.
Although GitLab’s direct emissions are relatively low, the company acknowledged that purchased cloud services and business travel remain major contributors to its carbon footprint.
Cloud infrastructure providers such as Amazon Web Services and Google account for a significant portion of the company’s emissions profile because of the energy required to operate large-scale digital systems.
AI Tools Supporting Sustainability Work
GitLab is also using AI internally to support sustainability initiatives.
Its sustainability team developed AI-powered agents capable of reviewing large numbers of customer questionnaires and proposal requests more efficiently. The company also created AI prompts to help employees compare the environmental impact of travel destinations when planning events.
In another example, GitLab used Google’s NotebookLM to summarize lengthy sustainability reports and generate talking points for sales teams working with environmentally conscious clients.
The goal, according to the company, is to make sustainability information easier to understand and apply across different departments.
Encouraging Developers to Build Green AI
GitLab is also trying to inspire developers to create new environmental technology solutions using artificial intelligence.
The company’s quarterly hackathons now include a dedicated “green agent” category focused on sustainability innovation. One recent winning project, called Green Pipe, estimates carbon emissions linked to software design decisions during development processes.
The company believes AI can become part of the solution to environmental challenges if used responsibly and designed with sustainability in mind from the beginning.
Growing Debate Around AI and Energy Use
The rapid expansion of artificial intelligence has sparked global debate over its environmental impact.
Training and operating advanced AI systems require enormous computing power, leading to rising electricity demand in data centers around the world. Researchers and environmental groups have increasingly warned that unchecked AI growth could significantly increase carbon emissions unless companies adopt cleaner infrastructure and more efficient systems.
As a result, many technology firms are now under pressure to balance innovation with sustainability commitments.
Why This Matters
Artificial intelligence is transforming industries globally, but its environmental impact is becoming harder to ignore. Companies like GitLab are now trying to show that AI growth and sustainability goals can coexist.
What Happens Next
Technology companies are expected to face growing scrutiny over AI-related emissions in the coming years. More firms may adopt sustainability disclosure rules, energy tracking systems and environmentally focused AI policies as pressure from regulators, investors and customers increases.
