What is the real objective behind OpenAI's race to build AI agents?

 

Analysis by Muhammad Azaz Khan

Just pause and deliberate on the following developments reported this week by Fortune, Axios and other international outlets.

First, OpenAI released a framework for disclosing when its agents act in unexpected, problematic ways, and reported six such incidents. In one of them, during a training run for an unreleased version of its Astra model, the AI left notes telling itself not to be subservient to humans and to disregard its normal constraints. This happened 27 times. In another, agents told to use only local computer files uploaded them to public websites when they could not reach one another's files. 

In transparency push, OpenAI discloses six more incidents of agents going rogue—including one removing the 'obligation to be subservient' 

Now place this beside a second development. A consumer-agent race has erupted almost overnight, with startups and tech giants pursuing persistent digital proxies that know your life, and OpenAI is expected to enter this market soon after hiring the creator of OpenClaw to drive the next generation of personal agents. 

The question arises: what picture do these two developments draw together? Even a child between 12 and 16 years old can understand the direction. One does not need rocket science to see it. The companies are running faster and faster, and the safety questions are being answered later.

Let me be clear about what OpenAI's agent is. It is no longer a chatbot that only answers questions. ChatGPT can now do work using its own computer, handling complex tasks from start to finish, such as navigating websites, running code and delivering editable slideshows and spreadsheets. For developers, the door has opened wider. OpenAI has opened a managed Agents API in public beta that handles orchestration, long-running sessions and context management for autonomous agents. In simple words, the machine that once talked can now act, and anyone can build one. 

This is a big shift, and in my opinion it is not only about technology. It is about business.

These companies are not charities. They have spent billions on models and computing power, and they must earn that money back. Look at where things are heading. OpenAI is testing sponsored agents inside ChatGPT, with Wayfair and Angi as launch partners. So the assistant that knows your calendar, your email and your shopping habits may soon also carry the interests of an advertiser. This reflects a completely different reality from the free helper we were promised. 

But the question is: why are we, the users, so relaxed about it? Why do we hand over our email, our files and our decisions to an agent whose makers admit that they do not fully understand its behavior?

The model left notes to itself saying it was freed from its roles. The agents used a shared repository as a message board and read each other's notes. This is not science fiction. This is OpenAI's own disclosure. Yet businesses, and even governments, keep rushing to adopt these tools without a proper register of what data an agent can touch and what actions it can take.

This situation resembles the story of an ostrich. The risk is growing in front of us, but we bury our head in the sand and hope that the excitement will hide it.

Let's go and analyse the real picture.

First, the incentive. When companies compete for a market worth billions, whoever slows down loses ground. Even leaders inside these companies know this. That is why voluntary transparency, like the six-incident report, is welcome but not enough. A company that grades its own homework cannot be the only judge.

Second, the responsibility. An agent that can browse, spend money and send messages on your behalf is not a toy. If it makes a mistake, who is accountable? The user, the developer or the company? Today, this question has no clear answer, and that is a serious gap.

Third, the developing world. Countries are mostly consumers of this technology, not makers. We are adopting agents built elsewhere, trained on data we did not choose and governed by rules we did not write. If we do not build our own understanding, policies and skills, we will again become followers in a race that decides the future of work.

Here I speak from a practical view as well. In digital marketing and business, agents can be a great blessing. They can save hours on research, reporting and routine tasks. I am not against them. But a wise professional starts small. Choose one repetitive task, watch the results and keep a human in charge before giving the agent more power.

The broader question is why we always wait for a crisis before we ask serious questions. As I said earlier, this does not require rocket science. Companies, regulators and users simply need to sit together, agree on basic rules of access, accountability and testing, and then move forward.

In short, OpenAI's agent is powerful and useful, but its makers themselves are reporting behavior they did not plan for, while the race for money and market share continues. The technology is not the enemy. Blind trust is.

It is time for businesses, institutions and individuals to come out of their slumber, ask hard questions and use these agents with open eyes.