By: Joshua Dusbabek
At Rodwin Architecture and Skycastle Construction, we’re applying the same values we’ve always held—integrity, connection, and sustainability—now through the lens of AI. As we integrate these tools, we use them selectively, making sure they reflect our commitment to quality and environmental responsibility. Across the office, we match the right AI tools to the right tasks, avoiding wasteful use where a simple search would do. Even when AI makes sense, we lean toward smaller, intentional, and more efficient models to conserve time and energy. Our team also keeps AI a constant point of conversation, asking how we can refine our processes while staying true to our environmental goals. In the future, architecture and construction will depend on AI to develop new building methods, and design more rigorously reviewed homes. All in the name of energy performance and sustainability. For now, the question we continue to weigh most is, how do we harness AI in a way that strengthens our stewardship of the planet today?
Artificial intelligence has a reputation problem. Some hail it as the innovation that will change everything. Others condemn it for consuming massive amounts of energy and undermining environmental progress. Both views contain truth, but they miss the larger picture. Like the automobile in its early years, AI is powerful, resource-hungry, and often reckless. Yet, just like cars, AI can evolve into something cleaner, smarter, and indispensable. The same technology straining our power grids today might soon help us repair them.
AI requires tremendous natural resources and energy. Training a single state-of-the-art model can use as much electricity as thousands of homes consume in a year. Globally, many data centers cool themselves with fresh water—sometimes the equivalent of an Olympic pool each day. That means billions of gallons of drinking and agricultural water are diverted annually, often in places already experiencing drought. The minerals required to power these systems are also frequently mined in vulnerable regions, compounding environmental strain.
Big ticket places like Washington, D.C., the Silicon Valley, Beijing, São Paulo, Singapore, Kuala Lumpur, and Dublin have all felt the pressure of AI’s rapid expansion. At the same time, AI tools flood the world with dopamine-driven novelty, often without accountability for the scale of their impact.
But we have been here before. Cars once belched smoke, factories ran unregulated, and even the first computers were met with hesitation. Today, electric vehicles, green buildings, and renewable energy define some of the world’s fastest-growing markets. Public demand for environmental responsibility has never been stronger. Data centers and AI systems are likely to follow the same path. They consume unsustainable resources now, but they are rapidly becoming more efficient.
AI is already proving useful in ways that support sustainability:
AI consumes significant energy today, but it also lays the groundwork for conservation at a pace humanity alone could not match. Like renewable technologies, AI needs time to evolve. Think of its debut as the Model T and its potential as the Prius. Expecting Prius-level efficiency right now would be unrealistic—but progress is coming fast.
The question is not whether AI can help. The question is whether we will build and use it responsibly. That requires:
Abandoning AI would be shortsighted. What we need is iteration—refinement that steers it toward sustainability. Yes, corporations will drive much of that innovation, but even money-driven stakeholders recognize the value of opening new markets through green technology.
And individuals are not powerless here. Every choice to use or reject an AI tool influences the path forward. You cannot drive a vehicle you refuse to touch. Get behind the wheel, and make sure AI gets regular “tune-ups” so it stays in its lane and serves environmental goals.
AI is only as responsible as the people guiding it. Used carelessly, it pollutes and accelerates damage. Used wisely, it becomes one of the most powerful tools for sustainability and regeneration.
Picture AI’s trajectory as a J-curve. Today, the curve dips into spiraling concerns about environmental realities. Soon, though, it hooks upward and thoughtfully helps us solve environmental problems of large proportion. Recent studies predict that by 2035, AI could reduce global greenhouse gas emissions by 3.2 to 5.4 billion tonnes. If nothing else, AI has forced us to confront the urgency of environmental action—and it is capable of doing the heavy lifting to keep us honest.
The steering wheel is in our hands. Demand renewable-powered AI. Research the tools you use. Support companies that prioritize ecological protection. Talk about AI at work and with friends. Push this technology to serve not just innovation but our stewardship of the planet itself.
The future of AI, and the environment it shapes, depends on the choices we make today.