The human-AI relationship: What are the differences?

Over the past 2.5 years, there have been significant developments worldwide in generative AI. At the same time, it has become a tool widely used by the general public—something uncommon before 2022. While AI as a concept has existed much longer than the generative models capable of understanding human language and responding “human-like,” it is precisely this latter capability that has driven the AI revolution of the past two years.

This raises a central question for the future of AI: To what extent will people perceive AI as another human, with the same strengths but preferably without the weaknesses—and are AI creators capable of building such systems? Before we can even begin to answer this, however, it’s necessary to examine what currently makes us human.

Currently, AI lacks several fundamental human qualities. These can broadly be grouped into three areas:

1. Intuition

While AI researchers and companies have made great strides in “thinking” AI models—an attempt to mimic human cognitive abilities—AI still lacks intuition. But what exactly is intuition? There are several ways to approach this question:

• One method would be experimental: ask the same question of both humans and an AI model, have them describe their thought processes, repeat this hundreds of times across different participants, and analyze the differences. This kind of research has not yet been fully conducted.

• Another approach is to consult psychological and neuroscientific literature. Intuition is commonly defined as:

  • A direct understanding of a situation without conscious reasoning

  • The ability to perceive patterns without deliberate thought

A defining characteristic of intuition is the absence of a conscious thought process. Humans experience something and immediately form an understanding, something AI cannot do.

Is this a problem? Not necessarily. Human intuition is often flawed and does not always contribute to optimal decision-making. Achieving accurate results, particularly in complex tasks, usually requires deliberation. However, intuition is highly effective in situations requiring rapid decisions, particularly human-to-human interactions—nuances AI cannot yet grasp. Yes, AI can “converse,” but at its core, it is a vast network of statistical computations. Give it a three-word prompt, and it may generate pages of output. Humans communicate through words, but also through body language, intonation, and silence—all of which AI cannot fully interpret.

2. Physical experience of the world

Another major limitation of AI is the lack of true physical experience. Humans perceive the world through a complex interplay of senses—sight, hearing, touch, taste, and smell. AI, by contrast, only processes the data it is given.

This creates a fundamental difference between human and AI interaction with the world. For example, a child learns fire is hot by accidentally touching it and feeling pain. That direct, physical interaction is essential for learning. AI, however, learns from patterns in large datasets without experiencing the real-world consequences.

Spatial and situational awareness is also crucial in human intelligence. We navigate crowded streets, read subtle cues like hurried footsteps, and sense internal states such as hunger or fatigue. AI lacks this situational sensitivity entirely, creating a substantial gap between artificial and human intelligence.

3. Emotional intelligence and empathy

Beyond intuition and physical experience, AI also lacks emotional intelligence. Humans can recognize emotions and respond empathetically, integrating past experiences, social norms, and hormonal responses.

AI can simulate emotions by detecting patterns in language or facial expressions, but this remains superficial. Humans instinctively sense discomfort or sadness even without explicit cues. This is rooted in deep social adaptation, which AI does not possess. While some companies are developing AI models to “read” emotions, whether AI can ever do this genuinely, as humans do, remains uncertain.

In summary, while generative AI has advanced rapidly, it fundamentally lacks the intuition, embodied experience, and emotional intelligence that define human cognition and interaction. These gaps highlight both the potential and the limitations of AI as it continues to integrate into human-centered contexts.

The Future of AI and Humanity

When considering the question, “To what extent will people perceive AI as another human in the future?” the answer largely depends on how well AI can simulate intuition, physical experience, and emotional intelligence. While AI has the potential to communicate more realistically and recognize patterns in human interaction, it remains uncertain whether it will ever serve as a fully equivalent substitute for human presence and experience.

The pursuit of increasingly human-like AI also raises ethical and philosophical questions. Do we want AI that is indistinguishable from humans? What would that mean for our own identity and the value we place on human interaction? Perhaps more importantly: do we need AI to be human-like, or do we need it to support us in being human?

What is certain is that the coming years will be crucial for the development of AI and how we engage with it. Whether AI will ever truly be perceived as human depends not only on technological advancements but also on our perception and acceptance of it.