Artificial intelligence presents corporate leaders with an unprecedented paradox. It’s simultaneously
the biggest threat to your sustainability goals and the most powerful tool to achieve them.

By 2030, AI infrastructure will add between 24 and 44 million metric tons of CO2 to the atmosphere
annually. Yet if deployed strategically, AI could reduce global emissions by 3.2 to 5.4 billion tonnes
of CO2-equivalent annually by 2035. That potential benefit is three to four times larger than data
centers’ entire carbon footprint.

The question isn’t whether AI will reshape your sustainability strategy. It’s whether you have
the organizational capability to capture the opportunity before the costs overwhelm you.

What the Research Show

Companies using AI to help reduce emissions are 4.5 times more likely to see significant
decarbonization benefits. The leaders capturing these gains report economic returns averaging $221
million per company. Yet only 7% of large companies comprehensively measure their emissions, and
just 13% have set comprehensive targets according to the BCG + CO2 AI 2025 Climate Survey. The
gap between potential and execution has never been wider

3 Barriers Blocking AI-Enabled Sustainability

Shadow AI and Measurement Blind Spots:

Teams across your organization are already using AI tools: ChatGPT for drafting, Copilot for coding,
free generative tools for design. Most of this usage is untracked, making it nearly impossible to
establish a realistic baseline for AI’s carbon footprint within your operations. Without knowing what’s
being used and where, you can’t measure impact or optimize for efficiency.

The IT-Sustainability Divide:

In most organizations, the people making AI infrastructure decisions (CIOs, IT teams, infrastructure
architects) are physically and organizationally separated from the people who own sustainability
targets. CIOs optimize for performance and uptime. Chief Sustainability Officers focus on emissions
reduction and ESG reporting. Nobody owns the integration. This structural disconnect means AI
deployment decisions that will lock in emissions for years get made without sustainability input, while
sustainability teams set ambitious targets without understanding the carbon implications of the AI
infrastructure being built to support them.

The People Problem:

Research shows that 80% of AI adoption challenges are people issues, not technology issues. Tech
leaders have the vision and understand the potential, but they lack the organizational capability to
execute. Bold transformation visions fail not because leaders got the strategy wrong, but because
organizations haven’t identified and empowered the internal change agents who can translate strategy
into action. For AI and sustainability, success requires coordinating across IT, operations, procurement,
and sustainability teams. Companies invest in carbon accounting platforms and AI tools, but if the
people who could drive adoption don’t have mandate, skills, resources, or recognition, nothing scales
beyond pilot projects.

Questions You Should Be Asking

• How are you measuring AI’s dual impact (both its carbon cost and emission reduction potential)?
• Who connects AI infrastructure decisions with sustainability strategy, and are they talking at the
  planning stage or only in cleanup mode?
• Who are the internal change agents across IT, sustainability, and procurement who could drive this,
  and do they have the mandate, skills and resources to succeed?
• These aren’t technology questions. They’re transformation questions, and the answers will
  determine whether your organization captures the opportunity or gets buried by the cost.

Looking Ahead: AI & Sustainability Roundtable

On March 19, Catalyst Constellations will convene senior leaders driving AI and sustainability initiatives to work through these challenges. Ralph Loura (former CIO of HP, Clorox, Lumentum; co-founder of SustainableIT.org) and Kai Martin (Chief Sustainability Officer, The Pasha Group) will share what’s actually working inside global enterprises.

This isn’t a lecture. It’s a working session on identifying internal change agents, building cross
functional coalitions, and executing when resources are scarce. Save your seat now!

Join us on March 19, for a working session on driving AI and sustainability initiative.