Powering America in the Age of AI: Environmental Sustainability
Updated: 23 hours ago
Technology is becoming more powerful, more pervasive, and more physical.
Artificial intelligence (AI) is moving beyond browsers and applications into data centers, manufacturing, robotics, vehicles, buildings, critical infrastructure, and autonomous systems. That progress creates extraordinary economic opportunity, but it also consumes electricity, water, materials, land, equipment, and other physical resources. AI is changing how America computes, builds, learns, and competes. It is also changing how America consumes power. The next phase of technology will not be measured only by model performance, data speed, or server capacity. It will be measured by whether the infrastructure behind it can grow exponentially and responsibly.
For DEW Diligence, responsible technology therefore cannot stop at tech risk, AI governance, or business value. It must also consider the infrastructure and natural resources that make technology possible. That is where DEW Diligence’s commitment to a sustainable America matters. The AI age needs more than bigger data centers, hyperscalers, and faster chips. It needs disciplined, responsible planning, renewable and clean energy, resilient electrical systems, and environmental practices that meet current U.S. Environmental Protection Agency (EPA) expectations and reflect stewardship.
Our Environmental Sustainability Commitment reflects that practical view of progress: responsible resource use, measurable action, continuous improvement, and environmental stewardship grounded in what an organization can actually influence. Our pledge is grounded in a clear idea that growth and responsibility must advance together. A stronger digital economy should support cleaner energy choices, lower emissions, better resource management, and infrastructure that serves communities for the long term.
We are not promising environmental perfection. We are committing to making responsible decisions as technology, our company, and the economy evolve.
The AI era is also an energy era
AI is often discussed as software. Physically, however, AI depends on semiconductor fabrication, servers, networking equipment, data centers, cooling systems, power generation and transmission, backup systems, and extensive supply chains.
The "United States Data Center Energy Usage Report: 2025 Update," published June 2026, estimates that U.S. data centers could consume between 9.5% and 15.3% of total U.S. electricity by 2030, with a reference estimate of 649 terawatt-hours and 11.8%. The study's overall range is 521–843 TWh. These figures describe data centers broadly, but rapidly expanding AI infrastructure is an important contributor to increasing demand. Put that reference estimate into perspective: 649 TWh is approximately 1.8 times the combined 2024 retail electricity sales of New Jersey, New York, and Pennsylvania. The Lawrence Berkeley National Laboratory (LBNL) report arrived amid rising electricity prices and pressure on utilities and regulators, and FERC opened a probe into whether grid-upgrade costs are allocated fairly.
Energy strategy should be a part of technology strategy. The challenge is to expand the energy, grid, computing, and physical infrastructure necessary for innovation while improving efficiency, reliability, resilience, and environmental performance for America.
DEW Diligence’s pledge for a sustainable America
DEW Diligence’s Environmental Sustainability Commitment reflects a practical view of commitment to progress, recognizing that environmental performance is a core part of due diligence, planning, energy strategy, and responsible growth. As a digital-first consulting company, sustainability begins with practical operating decisions rather than distant promises. We prioritize electronic records, communications, invoicing, and documentation; reduce unnecessary printing and physical materials; recycle appropriate materials and electronics; and support remote and virtual work where practical to reduce avoidable transportation and resource use.
We are beginning with modest actions. Environmental commitments become credible when they are connected to actual operating practices, and not unsupported claims about emissions reductions that have never been measured. Our approach therefore begins with Digital-First & Waste Prevention, Responsible Technology Lifecycle, Remote & Low-Impact Operations, Energy & Transportation Transition, and Environmental Stewardship & Continuous Improvement.
DEW Diligence’s sustainability page centers on five commitments that support this standard.
Responsible environmental sustainability stewardship
DEW Diligence has long approached technology through the interconnected lenses of business value, security, governance, resilience, risk, and responsible innovation.
AI workloads consume energy. Data centers require electricity and, depending on their cooling architectures, water. Electronics depend on metals, minerals, plastics, batteries, semiconductors, and global supply chains. Cloud infrastructure ultimately resides in physical facilities. Robotics and industrial AI connect software decisions to machines, transportation systems, buildings, factories, and infrastructure.
Good stewardship also means planning for the full life of the asset. Responsible innovation therefore requires leaders to look beyond what a technology can do and consider what is required to build, operate, scale, maintain, and eventually retire it. That is the reasoning behind DEW Diligence's commitment to a Responsible Technology Lifecycle.
EPA similarly encourages organizations to consider the entire electronics lifecycle, including purchasing environmentally preferable products, extending equipment life, reuse and refurbishment, donation, and responsible recycling. EPA recommends certified electronics recyclers under the R2 and e-Stewards programs for organizations managing unwanted electronics. For technology executives, that turns sustainability into lifecycle management.
Environmental risk belongs in technology due diligence
Large technology and AI infrastructure projects introduce another consideration. Environmental requirements can become material operational and investment risks. Depending on a facility's architecture, equipment, fuels, location, and jurisdiction, considerations may include air emissions from stationary generators, fuel storage and spill prevention, construction stormwater, refrigerant management, batteries and hazardous or universal waste, electronic waste, and greenhouse-gas reporting requirements.
EPA now maintains Clean Air Act resources specifically addressing data centers and notes that stationary engines and combustion turbines commonly used for primary or backup power can be subject to federal emissions standards. EPA's Section 608 rules separately govern aspects of refrigerant handling, recovery, servicing, and disposal for stationary refrigeration and air-conditioning equipment.
We do not need to become an environmental engineering firm to recognize environmental risk as part of responsible technology governance. Executive technology leaders should know when a project creates environmental, regulatory, infrastructure, financial, or resilience dependencies, and when qualified environmental, engineering, legal, utility, or regulatory specialists need to be brought into the decision.
Cleaner energy, stronger infrastructure, responsible growth
AI will require more electricity. The source of that electricity will shape the environmental impact of the sector. DEW Diligence supports the transition toward greater energy efficiency, renewable and solar energy, cleaner transportation, and environmentally preferable technology where practical.
AI systems, hospitals, financial infrastructure, telecommunications, manufacturing, transportation, government services, and critical infrastructure all depend on dependable electricity. An energy strategy for America's technological future could mean using energy intelligently, reducing unnecessary demand, diversifying where appropriate, improving efficiency, strengthening resilience, reducing emissions, and measuring the consequences of the choices being made. That is, Energy & Transportation Transition is approached as a business strategy rather than symbolism.
Waste prevention is also technology strategy
The environmental footprint of technology does not end with electricity. The AI era depends on physical infrastructure. Servers, computers, networking equipment, storage systems, batteries, displays, cables, power electronics, and other equipment contain materials that require energy and natural resources to extract, refine, manufacture, and transport.
For businesses, this aligns with technology management. Buy deliberately. Maintain equipment appropriately. Avoid unnecessary refresh cycles. Reuse or donate functioning assets where security and operational requirements permit. Protect information before equipment leaves organizational control. Use responsible recycling channels when assets reach end of life.
Accountability and continuous improvement — Measure first. Claim second.
A pledge becomes real when performance is tracked. Sustainability requires clear goals, assigned responsibility, and reliable data. Perhaps the most important part of DEW Diligence's environmental commitment is what we do not promise.
We do not claim to be carbon neutral.
We do not claim zero waste.
We do not claim emissions reductions we have not measured.
Our commitment is to responsible resource use, documented action, environmental awareness, and continuous improvement.
As our business grows, we intend to evaluate environmentally preferable and energy-efficient technology, renewable and solar energy, cleaner transportation, responsible electronics management, clean-water and conservation initiatives, and other opportunities where our actions can produce meaningful results. That is Environmental Stewardship & Continuous Improvement in practice.
AI is raising the stakes for energy planning
AI workloads are power-intensive because they rely on dense computing. Training large models, running inference at scale, storing data, and moving information across networks all require electricity.
Hyperscalers, cloud providers operating massive computing environments, design facilities that can support extraordinary loads. Racks that once supported general IT equipment now may hold dense servers with high-performance accelerators. These chips can draw hundreds of watts each, and advanced modules can draw much more. Multiply that by thousands of servers, then add cooling, power conversion, networking, lighting, monitoring, and redundancy. The result is a new kind of energy challenge.
AI infrastructure must be reliable enough to serve critical workloads, yet clean enough to align with environmental and reliability expectations. Utilities, developers, regulators, and communities are already evaluating how large electrical loads affect grid capacity, generation needs, water use, emissions, and local resilience.
The electrical backbone of AI must be cleaner and more resilient
Power enters a data center through utility feeds, substations, transformers, switchgear, and distribution systems. From there, it moves through uninterruptible power supply systems, power distribution units, busways, rack equipment, and backup systems.
Every part of that chain affects efficiency, environmental impact, and reliability.
EPA-aligned best practices make sustainability measurable
Environmental claims need evidence. EPA-aligned best practices help organizations turn intent into performance. For AI and technology infrastructure, that means building a program around actions.
Measure energy and emissions
Reduce pollution before it happens
Manage water with care
Document compliance clearly
Design for the full asset lifecycle
Powering progress responsibly
The next generation of American technology will require enormous amounts of computing power, physical infrastructure, electricity, materials, capital, and human expertise. That creates opportunities and requires better decisions. America can build AI infrastructure while modernizing its electric grid. It can expand advanced manufacturing while improving efficiency. It can deploy renewable and cleaner energy while strengthening reliability. It can accelerate innovation while improving electronics stewardship, water management, land use, and community resilience.
At DEW Diligence, we believe responsible technology must account for the systems on which technology depends: information, infrastructure, energy, water, materials, communities, and the environment. Our Environmental Sustainability Commitment is deliberately practical. Reduce avoidable impact. Use resources responsibly. Manage technology throughout its lifecycle. Support cleaner energy and transportation where feasible. Measure meaningful progress. Keep improving.
The path forward is clear. AI infrastructure must be powerful, reliable, and environmentally responsible. Solar power and clean energy planning belong at the center of that work, supported by careful due diligence, EPA-aligned practices, and a disciplined view of long-term impact.
A sustainable America will not be built by technology alone. It will be built by the energy choices, infrastructure decisions, and environmental commitments that support technology at scale. DEW Diligence is committed to helping that future take shape with clarity, confidence, and responsibility. Learn more about the DEW Diligence Environmental Sustainability Commitment: https://www.dew-diligence.com/sustainability. Review how our services can support your organization and contact us for a free consultation.
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