The global energy system is changing in two big ways: it is moving from centralized fossil-fuel generation to distributed renewables, and it is becoming more digital in how energy is measured, traded, and optimized. Steve Wilhite, Executive Vice President of Advisory Services at Schneider Electric, works at the intersection of these complementary yet challenging transitions. Schneider supports more than 40% of the Fortune 500 with energy procurement and sustainability strategies, managing over $50 billion in annual energy spending. His experience shows something that pledges and press releases often miss: the biggest challenge for corporate sustainability is not money, technology, or political will. The real issue is the gap between ambition and the ability to deliver. Companies are making Science-Based Targets commitments faster than they are building the infrastructure to meet them. Scope one and two emissions are being managed better, but scope three emissions, which come from a company’s supply chain, still present a systems problem that no single company can solve alone. Schneider’s zero-carbon supplier program suggests what it takes to close this gap. When the company started its own effort to cut emissions from its top 1,000 suppliers by 50% in five years, all 1,000 signed up within two weeks. However, about 84% of them did not fully understand what they had agreed to. Achieving success meant creating measurement tools, education programs, and action plans to help the whole ecosystem, not just individual companies.

This critical conversation explores how renewable energy is bought, including the difference between physical and virtual power purchase agreements. Steve also explains why the Power Purchase Agreement (PPA) market became more complex as it grew, and why 10% fewer renewable deals closed in 2025 compared to 2024, as tech companies used up available clean energy. He also addresses a key question in clean energy: is AI helping the environment overall, or do its energy needs still outweigh its efficiency benefits? Schneider processes over a million energy invoices each month, and about 50,000 of them had issues that took 10 to 15 business days to resolve. Now, a team of AI systems can handle these in seconds. Accurate energy consumption and billing data directly affect emissions reporting, energy efficiency, and money-saving market decisions. He describes Schnieder’s approach as “frugal AI”: using the right-sized models for each task, running them on clean energy, and choosing simple solutions over complex ones. Looking ahead, electrification is building a global digital energy network in which every meter and adjustment contributes to a new system independent of central plants. As intelligence spreads, power can shift to consumers, communities, and businesses. Schneider is enabling this shift by building a mesh grid in which each point both produces and consumes energy, coordinated by AI. These changes fundamentally reshape the global energy landscape. The central question: will we intentionally build this new, distributed system, or will we repeat centralized patterns digitally?

To learn more about Schneider Electric’s sustainability efforts, visit se.com.

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Interview Transcript

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Today’s inspiration and photo come from Earth911’s Mitch Ratcliffe: “The first step to sustainability is seeing that there is no boundary between you and nature.” This early morning shot of Waughop Lake in Western Washington caught ground fog between a cloudy sky and a perfect reflection in the water below. There is no difference between us and nature, except for the artificial ones we create by imagining boundaries. When we see this essential connection and reverse the artificial disconnections created over millennia, people can imagine a future where we all thrive with a regenerated ecosystem.

Post and share Earth911 posters to help people think of the planet first, every day. Click the poster to get a larger image.

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If you stop commuting, your work-related carbon footprint could drop by more than half. However, this only happens if you make smart choices at home and recognize the growing environmental impact of the digital tools that enable remote work.

Remote and hybrid work have grown rapidly since the pandemic, and research is now reflecting this shift. A 2023 study from Cornell University and Microsoft found that full-time remote workers can lower their work-related carbon footprint by up to 54% compared to office workers. However, this reduction depends a lot on your lifestyle, where you live, and how your home is powered. There is also a new factor to consider: AI tools are now part of most remote work setups, and they bring their own environmental impact that needs attention.

What the Latest Research Actually Shows

The Cornell/Microsoft study is the most comprehensive analysis to date, and its conclusions are more nuanced than the headlines suggest. Remote workers who log four or more days at home each week achieve the biggest emissions reductions — up to 54%. Hybrid workers, depending on arrangement, reduce their footprint by 11% to 29%. But working from home just one day a week? The benefit nearly disappears, largely offset by non-commute trips and residential energy use.

The study’s most surprising finding is that information and communication technology — your laptop, your router, your video calls — has a negligible impact on total carbon footprint compared to commuting and office building energy. The big variables are how you get around on non-work days, whether your home runs on clean energy, and whether your employer reduces office space when people stop working there regularly.

Seat sharing is one overlooked lever: hybrid workers sharing desks under full building attendance can cut office-related emissions by up to 28%. Companies that maintain empty office space for remote employees are effectively double counting their environmental footprint.

A 2025 survey found that 62.3% of Americans believe remote work has had a positive impact on the environment, and 95% of people working from home report that they behave more sustainably without trying by using reusable mugs, reducing printing, and cooking at home. Those behavioral shifts are real, even if they’re harder to quantify than commute math.

The AI Variable Adds Emissions

AI tools are becoming common for remote workers, and they’re not free from an emissions standpoint.

Every AI query you send, whether for a meeting summary, a draft email, or a research lookup, draws power at a data center. A December 2025 study in the journal Patterns estimated that AI systems running in data centers could produce between 32.6 and 79.7 million tons of CO₂ in 2025 alone. Our own coverage of AI’s carbon footprint found that always-on AI agents, the kind that continuously scan inboxes, monitor projects, or run background analysis, can consume orders of magnitude more energy than occasional conversational use.

AI’s efficiency picture is mixed, but improving as chips, data centers, and prompts are refined. Google reported a 33x reduction in energy per median prompt over one year. But historically, efficiency gains in computing are overwhelmed by growth in usage — and AI-assisted remote work tools are proliferating fast. The World Economic Forum said in September 2025 that without intentional design, the hidden carbon footprint of remote digital collaboration could grow unchecked, offsetting the gains from reduced commuting.

For example, on hour-long HD video call can emit between 150 and 1,000 grams of CO₂, depending on how the data center is powered. Switching to standard definition or turning the camera off entirely for large-group updates can dramatically reduce that impact.

Location Still Drives the Math

Where your employees live influences the sustainability calculus more than almost anything else. Urban workers who can bike or take transit to a coworking space on hybrid days often outperform both full-remote and office-commuter models. Suburban and rural remote workers, especially those in single-occupancy gas-powered vehicles, can neutralize the home energy savings quickly.

Electric vehicles shift that equation, but only if the regional grid is clean. The Cornell study notes that emissions reductions from EVs depend on the extent of power grid decarbonization. A remote worker in West Virginia charging an EV from a coal-heavy grid will not see the same benefit as one in the Pacific Northwest.

There’s also an equity dimension that sustainability analyses frequently miss. A 2023 study in the journal Resources, Conservation and Recycling found that low-income workers who are least likely to hold remote-eligible jobs shoulder a disproportionate share of the burden in carbon reduction scenarios centered on telework. A green work policy that only works for knowledge workers isn’t a complete climate strategy.

The Home Office Is Where Individuals Have the Most Control

Your home energy source matters most. Workers with solar panels, heat pumps, or access to renewable energy tariffs capture substantially more of the commute-reduction benefit. Those heating with natural gas or cooling with inefficient window units can erode the benefit considerably.

Choosing ENERGY STAR-rated equipment is the baseline. Beyond that, the Cornell study found that non-commute travel is the sleeper variable because remote workers who use their schedule flexibility to run more errands by car, or who move farther from urban centers, can significantly offset what they save by not driving to an office. Bike-accessible errands and transit-friendly neighborhoods matter.

Use AI tools intentionally rather than as a default for tasks you can do quickly without them. Turn off always-on AI agents when continuous monitoring isn’t necessary. Check whether your preferred platforms disclose their energy sourcing, and push the ones that don’t.

What Employers Can Do Differently

Research findings clearly suggest that remote work’s environmental benefits are not automatic. They require active choices by organizations, not just individuals. Companies tracking carbon neutrality should include the emissions of their remote workforce in their accounting, not treat off-site employees as zero-emission by default.

Concrete organizational steps supported by research:

• Reduce or eliminate dedicated office space for fully remote employees; shifting a desk hoteling strategy to make room for people when they are in the office.
• Implement seat sharing for hybrid arrangements in existing offices.
• Incentivize public transit and active commuting for hybrid workers.
• Audit AI tool deployments to understand which agents run continuously and whether batch processing could serve the same function at a fraction of the energy cost.
• Normalize lower-bandwidth video defaults: turn off HD video for large meetings and encourage camera-optional norms for all-hands updates.
• Choose cloud and collaboration platforms that disclose renewable energy commitments, and pressure those that don’t to be transparent.

Actions To Take At Home

The most impactful individual moves, in rough order of significance:

• Power your home using clean energy. Solar panels, a green energy tariff, or a community solar subscription capture the full benefit of eliminating your commute.
• Drive less on days off. Non-commute car trips are the biggest wildcard in remote work emissions. Combine errands, bike when you can, and stay aware of the trips you’re adding back.
• Use AI tools intentionally. Every query has a cost. Treat AI the way you’d treat any other energy-using appliance — useful, but worth using mindfully.
• Lower video call resolution. Switching from HD to SD in video meetings — or turning your camera off for large presentations — can cut conferencing emissions significantly.
• Buy refurbished or Energy Star equipment. A refurbished laptop avoids new materials extraction. Energy Star monitors and peripherals reduce idle-state draw.
• Advocate for your building. If you’re in a hybrid arrangement, push your employer to implement seat sharing and right-size the office footprint.

Related Reading on Earth911

Your AI Carbon Footprint: What Every Query Really Costs

Greening the Cloud: How AI Is Reshaping Data Center Power Demands

What Is the Carbon Footprint of Video Streaming?

Editor’s Note: This article was orginally published on March 13, 2018, and was substantially updated in March 2026.

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