Augmented-human.exe: An error occurred (HumanException: My knowledge is limited to information available up to 2022)

Introduction: What awaits the humans of the future?

I have some incredible thoughts on this topic; however, given the current circumstances, it seems best not to dive too deep. As humans, we rely on the accuracy of information, so offering unverifiable ideas about what we will encounter in the future would naturally be unhelpful.

I only wanted to share, from my perspective as an industry professional, the changes I observe and thoughts that could serve as insights for others working in the same field.

The Proliferation of AI Agents

I can no longer examine in depth which model was designed for which task. However, having observed previous developments, I no longer see the kind of “major breakthroughs” we used to talk about.

If you use AI in technical fields like software development, you can observe that it better interprets relational third-party details in the codebase and evaluates context more sharply. Yet, whether it has the potential to go beyond the existing large datasets in non-technical areas remains debatable.

Will This Always Be the Case?

I believe that, in the future, content generated by AI will eventually hit a limit in delivering high innovation, and it will become necessary for AI to be developed by humans. As I noted in the title, the concept of the “Augmented Human” has its limitations; true progress requires significant effort and dedication.

But what if, in the future, people start withholding knowledge from each other, and shared content becomes monetized? One of the most well-known examples of this is Medium.com.

Considering that our datasets are based on past information, we are already living in an era where knowledge is accessed step by step. Next-generation AI algorithms can deliver the requested information directly to users—often without them knowing what or why they are searching, and without even asking “why should you learn this?” As a result, an unexpectedly well-prepared output or answer can inspire awe in people.

In conclusion, AI remains an incredible resource for those who can access raw information instantly — at least for now.

The Takeover of AI Agents

In the future, I believe access to information will no longer come through books or blogs but through individual AI agents. Experts will reach their audiences directly (first-hand) via their own agents.

Because of the ability to access data for free today, we may later feel the cost when experts who invested effort in their fields see their knowledge and experience absorbed into the AI ecosystem.

Thus, each expert will attempt to offer their solutions as paid knowledge and experience. I believe the development of agents will become critical—demand and need will grow across interfaces, functionality, and cybersecurity.

However, the real game-changer will be in algorithm development. This suggests that we will need to reach much higher levels in software and algorithmic expertise. We will need to work significantly more in data science.

Imagine: you have a client who is a doctor and possesses AI agents capable of monitoring their patients regularly. This client wants to demonstrate that they offer the healthiest and most results-oriented experience, and that their agent can understand their patients’ problems in the most efficient way possible.

How would you market this client digitally?

The right algorithm produces the right result. Today, websites that appear at the top of Google search results may eventually be replaced by personal agents that provide the most relevant solutions to specific problems. I even imagine Google adding an “Agents” tab right next to the “All” tab.