The pace of progress in modern computing has long been shaped by the expectation that processing power would continue to scale efficiently, often aligned with the trajectory explained by Moore's Law. Today, that assumption is being revisited as technical and physical constraints become more visible. Madison Hanberry, Co-Founder of TriMagnetix, suggests that silicon-based systems are beginning to encounter practical limits, particularly as efforts to shrink and densely pack transistors introduce new complexities. From his perspective, these challenges are prompting a broader conversation about how computing architectures may need to evolve moving forward.
This constraint is emerging at a time when demand for computing resources is accelerating rapidly. Hanberry notes that the expansion of data centers, driven in large part by artificial intelligence and other compute-intensive applications, is placing increasing pressure on existing infrastructure. Estimates suggest that data centers could account for over 20% of global electricity consumption within the next decade, reflecting the scale of growth underway. From his perspective, this is not simply a technical challenge but one that carries broader implications for energy systems, operational costs, and long-term sustainability.
As AI adoption continues to scale, the strain on infrastructure becomes more pronounced. Aspen White, Co-Founder, explains "The current approaches often focus on generating more power to meet demand rather than addressing the root inefficiencies within computing itself." In her view, this creates a cycle where energy consumption grows alongside technological progress, raising questions about how sustainable that model can be over time. She notes that while alternative energy solutions are being explored, they often introduce additional complexity and cost rather than resolving the underlying issue.
It is within this context that TriMagnetix has positioned its work. The company focuses on developing computing systems based on nanomagnetic logic, an approach that differs fundamentally from traditional silicon-based designs. Hanberry explains this shift in rethinking how information is processed at a foundational level. "We are not trying to push silicon further than it can go," he says. "We are exploring a different way to compute that removes many of the constraints we are currently facing."
According to him, one of the defining characteristics of this approach is its ability to operate using brief pulses of electricity rather than continuous electrical flow. "This distinction significantly reduces energy consumption while also limiting heat generation, two factors that are central to current infrastructure challenges," Hanberry explains. "Nanomagnetic systems are not subject to the same physical limitations as semiconductors, which allows greater density without the risk of electrical interference between components."
From a business perspective, accessibility also plays a role. Hanberry notes that early prototypes have been developed with relatively modest resources compared to traditional semiconductor fabrication. He attributes this to differences in manufacturing processes, which may lower barriers to experimentation and development. While still in the early stages, he sees this as an indication that alternative computing architectures could be brought to market without the same level of capital intensity typically associated with chip production.
The potential applications extend beyond terrestrial data centers. Hanberry points to growing interest in orbital computing infrastructure, where challenges such as heat dissipation and radiation exposure create additional constraints. In that environment, he explains, systems that generate less heat and are inherently resistant to radiation could offer practical advantages. While discussions in this space remain exploratory, he suggests that nanomagnetics may align well with these evolving requirements.
Beyond infrastructure, Hanberry also highlights longer-term possibilities that touch on everyday life. He points to areas such as augmented reality and embedded medical devices, where power efficiency and thermal limitations currently restrict design and usability. In more human-centered applications, he reflects on the challenges associated with medical implants that require invasive procedures for maintenance.
"Imagine a future where devices no longer need to be replaced because they are built to last for the lifetime of the person using them," he says. "That shift is not just about improving performance; it is about reducing the need for invasive procedures and meaningfully improving quality of life over time."
At its core, the conversation reflects a broader shift in how progress is defined within the computing industry. Rather than focusing solely on speed or scale, Hanberry frames the next phase as one that must balance performance with sustainability and practicality. From his perspective, addressing the limitations of silicon is about enabling continued innovation in a way that aligns with both economic and environmental realities, along with overcoming technical barriers.
As demand for computing continues to rise, the question is no longer whether new approaches will emerge, but how quickly they can be realized. Hanberry says, "The path forward may depend less on refining existing systems and more on reimagining the materials and methods that underpin them."
