What are we optimizing for?

Having worked in regenerative systems design for more than fifteen years, I have learned that the quality of a solution is directly connected to the quality of the questions that precede it. Yet many of the conversations I hear about AI begin with the assumption that faster solutions are always better, that efficiency is inherently valuable, and that any problem that can be automated should be automated. Rarely do we pause long enough to ask whether we are solving the right problem in the first place.

For decades, innovation culture has celebrated speed. Move fast. Disrupt. Scale. Optimize. These ideas have produced extraordinary technological advances. They have also contributed to many of the social, ecological, and psychological challenges we now face.

We live in a world where productivity has increased while burnout continues to rise. We are more connected than ever, yet loneliness has become a public health crisis. We have access to unprecedented amounts of information, yet many people struggle to discern what is true, meaningful, or worthy of attention. The challenge before us is not simply a lack of solutions. In many cases, we are drowning in solutions. What we lack is the collective capacity to distinguish between symptoms and root causes.

Too often, we encounter a complex social problem and immediately begin designing tools to address its visible manifestations. We optimize the symptom while leaving the underlying conditions untouched. The result is a cycle of intervention without transformation.

The closest metaphor I can find is that of inheriting the home of a relative who spent decades accumulating possessions. Every room is full. Every drawer contains forgotten stories. Every object represents a decision, a relationship, a memory, or a need that once made sense. Standing at the front door, the task feels impossible.

Sorting through everything carefully would require patience. It would require listening. It would require understanding how things came to be this way.

Instead, our cultural instinct is often to bulldoze the house and start over.

The old structures are inefficient. The process is too slow. We need results now.

Yet in our rush to clear the clutter, we often destroy the wisdom embedded within it. We lose context, history, and the opportunity to understand how the system evolved in the first place.

This tendency extends far beyond technology. It shapes how we approach education, governance, economics, healthcare, community, and increasingly, artificial intelligence.

When confronted with complexity, our reflex is often acceleration. What if the wiser response is curiosity?

I want to pause here and state that I do not believe artificial intelligence is inherently good or bad. Nor do I believe we can simply close the metaphorical Pandora’s box that has already been opened. AI is here. It will continue to evolve. It will likely transform every sector of society in ways we can scarcely imagine. The question is not whether these tools should exist. The question is whether we are cultivating the wisdom necessary to wield them well.

What kinds of people do we need to become in order to design responsibly with technologies of this magnitude?

What are we willing to sacrifice in the name of progress?

What do we mean when we use the word progress?

Who gets to decide?

What values are being embedded into the systems we are building?

Whose voices are absent from those conversations?

What assumptions remain invisible because they are so deeply embedded in our culture?

These questions are not technical questions. They are human questions. So, as artificial intelligence becomes more capable, certain human capacities become more important.

Discernment.

Wisdom.

Humility.

Systems thinking.

Ethical reflection.

Relational intelligence.

The ability to work across differences.

The ability to recognize unintended consequences.

The ability to ask better questions before rushing toward answers.

Technology can help us do many things faster. It cannot tell us what is worth doing. It cannot determine which futures are desirable. It cannot decide what kind of society we want to create. Those responsibilities remain ours. If anything, the emergence of AI makes them more urgent.

At Gaia U, we believe that the challenges of the twenty-first century cannot be solved through technology alone. They require new ways of thinking, learning, collaborating, and relating. They require us to examine the values, assumptions, and mental models that shape the systems we participate in every day.

Most importantly, they require us to slow down long enough to understand the problems beneath the problems. This is the conversation we hope to begin. Not a conversation about whether AI is good or bad. Not a conversation about fear or hype. A conversation about responsibility, design, wisdom, and about the kinds of futures we are creating, whether intentionally or by default.

If these questions resonate with you, we invite you to join us at Trellis Coworking in San Francisco, CA on August 21st from 9am-12pm for an event exploring values-centered design, systems thinking, and the human capacities needed to navigate an age of accelerating technological change.

Because before we ask what AI can do, perhaps we should first ask:

What are we optimizing for?