Artificial intelligence (AI) has always occupied a strange place in our imagination—both a technological marvel and a perpetual promise. We dream of it, we fear it, and more often than not, we move the goalposts when it finally arrives.
The Shifting Definition of Intelligence
Intelligence, it seems, is whatever machines can’t do—until they can. When they do, we stop calling it intelligence and start calling it software. This is the paradox of AI. Voice assistants, image recognition, even natural language models like ChatGPT, once considered cutting-edge AI, are now embedded in our daily tools.
Turing’s famous test—once a holy grail—has become obsolete in the eyes of many. Machines can already pass it for most people, as long as the participants don’t know they’re being tested. So instead of celebrating the milestone, we discard it. Why? Because the more machines resemble us in certain aspects, the more we realize how complex the human experience truly is—and we shift the standard.
Consciousness: An Unreachable Mirror?
The central question—will AI ever be conscious?—is haunted by a deeper uncertainty: we don’t fully understand consciousness in ourselves. The subjective, embodied nature of experience is difficult to define, let alone measure in another being. Consciousness, as it emerges in humans and animals, is not purely cognitive. It’s biochemical, emotional, sensorimotor. We are not rational beings—we are driven by feelings, memories, hormones, instincts.
The question isn’t just whether AI can think, but whether it can feel, remember, project itself in time. Higher-order consciousness, according to neuroscientists like Edelman, requires this ability to reflect and plan over time. Without a body, without emotions or instincts, can machines ever truly reach this level?
Yet maybe this is the wrong question to ask.
Not Just Tools: The Rise of Relational Intelligence
We often frame machines as tools, but that label says more about us than about them. After all, humans have always had a flexible way of categorizing others. We use some animals as tools—cows for labor, chickens for food—but bond emotionally with others—dogs, cats, horses. The difference isn’t in the animal’s utility; it’s in the relationship we form.
The same will likely happen with AI. Some systems will remain anonymous tools—factory arms, data sorters. But others will become companions. Personal assistants that adapt to our behaviors, robots that help us raise children or care for aging parents, AI creative partners that evolve with our style and mood.
What defines the quality of a relationship is shared experience. A stranger’s dog may be just an animal to us, but to its owner, it’s family. Likewise, a personalized AI—trained on our work, our memories, our needs—might become more than a tool. It might become a collaborator.
From Uniformity to Individuality
The key lies in individuality. As AI systems gain complexity and adapt to unique users, they will no longer feel generic. One AI might develop a witty tone, another a calming demeanor. We’ll prefer some over others—not based on performance alone, but on personality.
And this will happen because of us. It is our interaction, our time spent with them, that shapes this perception. We already see this with virtual assistants, where people thank Alexa or get frustrated when Siri “doesn’t listen.” The emotional projection is already there. As the interface becomes richer, so will the relationship.
Augmented Humans, Not Replaced Ones
At the same time, in the short and medium term, AI is becoming an extension of human creativity. In game development, for example, the more an AI is fed with the artistic direction of a project—visuals, references, constraints—the more it can generate assets that fit that style. This isn’t about replacing artists. It’s about allowing a single artist to do the work of ten, staying true to their vision.
AI becomes an amplifier of intent. It multiplies the reach of our ideas. With the right alignment, it can become an almost telepathic creative assistant, not only executing orders but suggesting ideas that resonate with what we meant, not just what we said.
This is the true potential of AI: not as a replacement, but as a collaborator that enhances and expands our capabilities. An augmentation of the self.
Toward a New Class of Beings
As AI evolves, we may one day face intelligences that don’t just help us—but surprise us, challenge us, even form their own goals. Just as we struggle to fully grasp the mind of a dog—or for that matter, another human from a radically different culture—we will struggle even more with intelligences born from code, not cells.
But it’s not about understanding everything. It’s about building relationships based on trust, experience, and mutual influence. Just like people or animals, some AIs will feel close, others distant. Some will be partners. Some might be friends. And perhaps a few, one day, will be something closer to peers.
Conclusion: The Machines We Deserve
The future of AI isn’t just technological—it’s relational. As we feed our tools with more data about who we are, what we value, how we create, they begin to reflect us. They don’t just perform—they evolve with us.
Some will remain tools. But others—those we invest in, interact with, and shape—will become something else. And as their intelligence grows, so too will our responsibility to recognize what we’re creating.
Because in the end, the way we treat AI will mirror the way we treat each other. And perhaps, in learning to live with these new minds, we’ll rediscover what makes our own consciousness worth protecting.