Code, Culture, and the Future of AI

In the disruptive technology world, the current gold rush is unmistakable. Artificial Intelligence is being integrated into everything from supply chain logistics to creative arts. But as we move deeper into this “AI Era,” a critical question is being ignored: Whose intelligence are we actually building?

At Pliadez, our journey in technology spans nearly two decades. We’ve seen the rise of the mobile web, the birth of blockchain, and the evolution of cloud computing. If there is one lesson we’ve learned, it’s that technology without a moral or cultural anchor eventually becomes extractive.

For AI to truly serve humanity, it must move beyond the “Silicon Valley Vacuum” and integrate what we call Ancestral Intelligence.

The Problem with “Extractive” AI

Most Large Language Models (LLMs) are trained on a massive “scrape” of the public internet. While impressive, these models are fundamentally Western-centric. They prioritize efficiency over ethics and individual output over community health.

When applied to Native communities, this “global” AI often stumbles. It views Indigenous languages as mere data points to be translated, rather than living vessels of history. It views land-use data as a resource to be optimized, rather than a relative to be protected. This isn’t just a technical glitch; it’s a form of digital colonialism.

Defining Ancestral Intelligence

Ancestral Intelligence is the practice of building technology that reflects Relational Ethics. It is the recognition that data isn’t just “bits”—it is heritage, genealogy, and sovereignty.

At Pliadez, we are shifting our investment focus toward founders who are building the “Ethical Stack” for Native tech. This involves three core pillars:

Data Sovereignty and the CARE Principles

In traditional VC, “Open Source” is often praised. But for Native nations, “Open” has historically led to exploitation. We back companies that implement the CARE Principles (Collective Benefit, Authority to Control, Responsibility, and Ethics). We look for platforms where the community—not the corporation—holds the “private keys” to their cultural and genetic data.

Small Language Models (SLMs) over “Big Tech” Bloat

The future of Indigenous AI isn’t a billion-dollar model that tries to know everything. It’s a Small Language Model that knows one thing perfectly. We are interested in hyper-local AI that can assist in language revitalization or tribal law without requiring massive server farms or compromising privacy. These models are leaner, more accurate, and can run on community-owned infrastructure.

The “Seventh Generation” Algorithmic Test

Standard AI is optimized for the next quarter’s earnings. Indigenous-led tech is optimized for the Seventh Generation. When we evaluate a startup, we ask: “Does this algorithm solve a problem today at the expense of the community’s future, or does it build a sustainable foundation for those not yet born?”

The “Cultural ROI”

Critics often ask if “Ethical AI” is as profitable as traditional AI. Our 17 years in the industry tell us the answer is yes.

In the coming years, “extractive” AI will face a wall of regulation, litigation, and social pushback regarding data privacy and bias. Conversely, companies built on consent-based data and community partnership are inherently de-risked. They have the trust of their users, the accuracy of their data, and a clear, sustainable mission.

The New Bottom Line: Relational Wealth

The next decade of innovation will not be defined by who has the most data, but by who has the most trusted data. As global markets begin to recoil from the “move fast and break things” era of tech, the Indigenous model of stewardship offers a stabilizing path forward.

Our seventeen years in the technology sector have led us to this conclusion: the most disruptive thing a company can do today is to be accountable to its community. By merging the precision of Artificial Intelligence with the permanence of Ancestral Intelligence, we aren’t just building better software—we are ensuring that the digital age has a soul.

We believe that when technology is rooted in heritage, its growth isn’t just profitable; it’s meaningful. The future isn’t about escaping our history through machines; it’s about using machines to honor the history that made us.