DIA - 501c(6) Filing Plan
Over the last decade, the technology ecosystem has scaled faster than its ability to coordinate. Compute has followed an accelerated trajectory, with advances in specialized hardware and distributed systems pushing performance far beyond traditional expectations of Moore’s Law. Hyperscale data center capacity in the United States has expanded rapidly, driven by cloud providers and AI workloads that now require massive clusters of GPUs and TPUs operating at unprecedented scale. At the same time, global data generation has exploded, with zettabytes of information flowing through systems that are increasingly interconnected, autonomous, and opaque.
Yet while compute, data, and model capabilities have scaled exponentially, the mechanisms for coordination have not kept pace. We now operate in an environment where technical systems are deeply interdependent, but the structures that align them remain fragmented. Organizations like the National Institute of Standards and Technology have developed foundational frameworks for cybersecurity and AI risk management. Government entities such as United States Cyber Command have advanced operational coordination and defense capabilities in cyberspace. Industry groups, academic institutions, and policy bodies continue to contribute valuable guidance and research. But these efforts, while significant, are often domain-specific, institutionally bounded, or limited in their ability to coordinate across the full stack of modern technology systems. What’s still missing is a unifying coordination layer that can operate across domains—connecting research, infrastructure, enterprise deployment, and policy into a more coherent system.
The consequences of this gap.
Data lacks consistent provenance and traceability across systems. AI models are developed and deployed without shared standards for accountability or interpretability. Digital platforms optimize for engagement without durable frameworks for societal outcomes. Public health, economic, and infrastructure data remain fragmented across jurisdictions, limiting real-time visibility and decision-making. Human trafficking and other complex global challenges persist in part due to disconnected data systems and insufficient cross-network intelligence. Economic modeling remains inaccessible or opaque to most stakeholders. Urban development and housing systems lack unified, transparent views. Foundational AI research is often disconnected from applied implementation. Social systems, including relationships and family formation, are increasingly mediated by platforms that are not designed for long-term stability. And marketplace infrastructure remains fragmented, limiting efficient coordination of goods, services, and opportunity.
These are harmony problems.
Beneath the technical fragmentation of western world is a deeper layer of misalignment. We are encountering epistemic problems, where both scientific and social systems struggle to distinguish signal from noise, truth from synthesis, and provenance from generation. We are encountering moral problems, where optimization functions are misaligned with long-term human outcomes, and where technical systems, such as social media, increasingly reward short-term engagement over durable value. And we are encountering civilizational problems, where the structures that support social cohesion, family formation, institutional trust, and long-term planning are being reshaped by technologies that were not designed with those outcomes in mind.
I’d argue all these problems are the result of not realizing technology is an environment layer. We have fooled to belive technology behaves more like a bicycle, when in reality it behaves like a road. So, now faced with a choice, we accept the road, or, re-make the mode of transportation. I’d prefer the latter.
To address this, I am preparing to formally establish the Divine Innovation Association (DIA) and pursue recognition as a 501(c)(6) business league through an upcoming IRS filing. DIA is being designed as a membership-based consortium focused on improving conditions across the technology ecosystem. DIA will convene leaders across industry, academia, and policy through public forums and recurring coordination cycles. It will facilitate the development of practical standards in areas such as AI governance, data provenance, and system accountability. It will organize working groups that translate shared priorities into execution across organizations. And it will contribute coordinated, experience-informed input into policy discussions.
This is an effort to enable alignment across pockets of Christian talent operating in STEM.
