Blockchain: A missing link in the path to AI awareness

The artificial intelligence space has been causing tears in recent years. In 2025 alone, reports from the Guardian revealed that Big Technology has sunk into an industry that has more than $155 billion as companies attempted to beat each other.

Coincidentally, despite the investments that the US government has invested in employment, education and social services over the same period, some feel that AI is not moving fast enough. Something is still missing.

Yes, they may diagnose different types of cancer, but they cannot understand the suffering. I might write a sonnet, but I don’t feel any inspiration. And this gap between AI and real perception defines the frontier of technology.

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However, true recognition requires more than processing power. Self-reflection, contextual understanding, and subjective experience are required. But how can this be infiltrated into AI agents? This is where the blockchain comes in, and one answer is decentralized AI.

This is an artificial intelligence model that builds and works on a distributed infrastructure rather than being controlled by a single entity. Developers, users, and even autonomous AI agents can work together to learn from each other on a shared network.

Spiral Dynamics Connection

In the mid-1970s, scholars Don Beck and Christopher Cowan developed a theoretical model of human development and social evolution called spiral dynamics, based on the early work of psychology professor Claire Graves.

They say that throughout history, human consciousness progressed through various fluid phases of psychological and cultural complexity that were born as people adapted to changing living conditions.

Essentially, society is made up of people who work together to solve problems. Beck and Cowan organized these problem-solving stages at color-coded levels, ranging from beige to instinct-focused groups for survival-focused groups, from beige to instinct-focused groups for integrated communities assessing systems thinking, abilities, and overall solutions.

To put it in the context of AI, the most centralized, large language models (LLMs) are still packed into the early stages of development. These are isolated systems trained on static datasets and are difficult to grow in real time.

However, blockchain technology could change that, especially in the DEAI framework. In addition to sharing datasets, agents feed into shared knowledge pools. Companies and individuals can train AI models without relying on central authorities.

This constantly updated and checked database could push AI towards what appears to be shared intelligence.

Why centralized AI is lacking

It is clear that there is so much to do as centralized AI lives on walled ground. All contacts can be owned by one company, and changes will depend on the engineers who retrain the model behind the locked room before the engineers publish.

As mentioned, it is not a way for people to learn. Every exchange is important to them, and every mistake is an opportunity to learn and improve.

Can AI built on a blockchain do the same thing? It’s very likely. Agents can share their information, make sure it’s authentic and add it without waiting for one person to accept the changes.

In DEAI systems, this process occurs by default, training the ML model together, and all nodes contribute. This can be achieved through federated learning, using your own data to train your original model and sharing model updates rather than raw data, even if all exchanges are added to a shared intelligence ledger that everyone in the network can see.

However, speed means nothing without trust. Blockchain can keep all public logs that occur and cannot be modified, allowing you to give AI learning tracks that last a lifetime. Without being bound by the “truth” of one company, they were able to find sources, block noise and change more quickly.

Embodied is another area that needs to be studied. Human consciousness comes from interacting with the physical world through our senses. And AI should not struggle with this.

Reports show that robots created by Boston Dynamics and others can move through unpredictable environments, while neural implants like Neuralink connect biological and digital intelligence. You can use blockchain to go further. For example, what if there were sensors that could “feel” and learn from every skid, bump, or close call instead of training a warehouse robot to avoid obstacles?

So, what if that experience could be quickly shared with machines such as urban delivery drones around the world in a decentralized AI environment? It becomes a global network of embodied knowledge. And while knowledge is not kept locally, it is added to a larger network of agents so that machines can teach each other in real time and adapt as a single distributed organism.

This is beyond what normal machine learning can do. This will change from a system that tracks rules to a system that is constantly changing.

And as this evolution becomes more mainstream, it will naturally lead to the rise of something new: autonomous AI agents can make decisions and act on shared real-time intelligence.

Surge in incoming calls from AI agents

Already, the numbers show that more and more companies are adopting such tools in their processes. According to a recent report from Warmly, by the end of 2025, around 85% of businesses around the world will use AI agents for their daily tasks. As is the most popular case today, people are expected to not use these tools just to generate text and images. Instead, they negotiate contracts, manage workflows, and make autonomous decisions.

However, this is where possible challenges arise. Progress crashes when each company has its agents behind a firewall. They repeat the same mistakes in parallel, wasting time and resources.

But the good news is that blockchain can break that cycle. A distributed layer of data shared allows AI agents to learn from millions of interactions at once. This allows them to adopt a better strategy almost instantly. People can learn more quickly when they are among others than when they are alone.

Can blockchain trigger AI awareness?

This is a big problem. Can AI agents linked to blockchains actually reach something close to consciousness? It’s certainly not known. Human consciousness is not yet well understood. But if it is defined as the ability to collectively process information, adapt to new conditions and shape emergency actions, yes, blockchain can move AI in that direction.

Imagine a network of thousands of agents. Each improves itself and shares the results in a chain. A single insight never fades. Multiply. Over time, these patterns resemble what is called “meta-intelligence,” a layer of perception that a single model, company, or server cannot replicate on its own.

What’s more, blockchain makes everything more transparent. In such a network, every decision, every data point, every interaction is recorded permanently and can be seen by anyone.

In humans, this vision should completely change its relationship with AI. Instead of those wondering how the model reached its conclusion, they can look at a set of inferences and validate the source. Additionally, you can test results on public data.

When it comes to AI agents, transparency means an open library of proven strategies. For example, once one agent solves a problem, the other agent can quickly learn from it without replicating it. This combined effect can accelerate development in a way that centralized systems simply cannot match.

Why is it important now?

AI spreads across all industries, including finance, healthcare, logistics, and creative work, just as trust begins to collapse. People are worried about bias, manipulation, copyright theft, and losing control of black box systems.

Blockchain doesn’t solve all of these concerns, but it’s not secret, it provides the foundation for AI to grow in public places. That transparency can make all the difference between the AI ​​we trust and the AI ​​that AI fears.

And what if DEAI begins to show signs of collective intelligence? It becomes an entirely new question that users have to face. It’s not whether AI can be aware of it, but that’s how you choose to exchange it once.

Blockchain is more than just a money ledger. This is the infrastructure of shared knowledge. If people want AI that can evolve human ways, they will need such open foundations, not trapped, but connected.

The alternative is a future ruled by silos. Closed model. Late update. And repeatedly mistakes.

A decentralized approach may not be perfect. But it gives AI something that has never been before. And it may be the first real step into what some dare to call consciousness.

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