Borrowed Intelligence

What is Borrowed Intelligence?

Borrowed intelligence is the practice of using the services, assistance, knowledge, judgment, or capability of a third party to extend your own ability to perform a task, solve a problem, or make a decision.

For almost all of human history, intelligence was one of the world’s most valuable and strictly limited resources. Those who possessed it enjoyed opportunities unavailable to anyone else: better decisions, greater influence, specialized professions, and positions of authority. Access was heavily guarded—shaped by wealth, education, geography, or social status—making it a resource that was both profoundly valuable and unevenly distributed.

Importantly, intelligence could not simply be acquired on demand.

It could not be downloaded.

It had to be earned.

Even an enthusiastic amateur researching a subject had to invest time and effort before reaching a basic level of understanding. For professionals, the investment was an order of magnitude greater:

• Years of study.
• Years of experience.
• Years of mistakes.
• Years of observation.

Becoming an authority in any meaningful discipline required an extraordinary sacrifice of time. Knowledge accumulated slowly; judgment developed through scars. Understanding was built over decades rather than moments.

Crucially, we often overlook the value of simply working alongside genuine expertise—the ability to absorb the wisdom others gained through years of repetition and investment. It wasn’t simply facts that were transferred in those environments. It was a framework of thought:

• How to approach an ambiguous problem.
• How to recognise subtle patterns.
• How to exercise judgment when there is no obvious right answer.
• How to know what matters, and what can safely be ignored.

These cognitive frameworks rarely came from a textbook. They were forged in repetition and refined by working alongside people who had already made the mistakes themselves.

That scarcity shaped the world. If intelligence was humanity’s most valuable resource, then access to it was the ultimate unfair advantage.

Now, for the first time in history, an individual can instantly access an extraordinary body of borrowed intelligence without undertaking the journey that traditionally produced the wisdom required to use it well.

That is an extraordinary achievement.

It is also one of the largest social experiments humanity has ever conducted.

Throughout history, knowledge, judgment, and experience arrived together. The years spent learning a profession were not just about accumulating information; they were about developing discipline, learning from failure, recognising patterns, and understanding when knowledge should—and should not—be applied.

Artificial intelligence separates those things. For the first time, access to intelligence no longer requires an investment in understanding.

This raises a fascinating, urgent question:

What happens when we gain access to the answers without first developing the habits of thinking required to trust them?

The Separation

For thousands of years, intelligence and understanding travelled together. If you wanted access to expert knowledge, you had to walk the road that created it. You learned the theory, practiced the craft, made mistakes, corrected them, and gradually developed judgment. The destination was inseparable from the road.

Artificial intelligence changes that relationship entirely. It allows anyone to access an extraordinary body of knowledge without acquiring the understanding that traditionally accompanied it.

This is not a criticism; it is one of the greatest technological milestones humanity has ever achieved. But it is also the largest social experiment we have ever conducted.

Knowing the answer is not the same as understanding the answer. Knowing what to do is not the same as knowing why it should be done. Knowing how to produce an asset is not the same as understanding whether it should exist at all.

Failure taught humility. Experience taught judgment. Repetition taught discipline.

Artificial intelligence compresses that entire decades-long journey into a single prompt. The destination arrives first. The road may never be travelled.

If the journey disappears, what else disappears with it?

The Side Effects of Borrowed Intelligence

The Responsibility Gap

The responsibility of the individual user is obvious: if we use borrowed intelligence to make decisions, we remain entirely accountable for the outcomes.

But that cannot be the end of the conversation.

Artificial intelligence isn’t waiting for people to seek it out. It has been quietly embedded into our phones, customer service channels, workplaces, and everyday software. As organisations aggressively embrace AI, the workforce is expected to keep pace.

If society is actively encouraging billions of people to adopt one of the most powerful cognitive tools ever created, then society—and the technology companies driving this shift—must accept a parallel responsibility.

Their job cannot simply be to market it. It must be to educate people on how to co-exist with it.

Most of us have heard stories of drivers who blindly followed their satellite navigation systems and steered directly off a cliff. Borrowed intelligence presents the exact same risk.

Only this time, the cliff edge is completely invisible.

The user remains responsible for where they drive. But we can no longer ignore the responsibility of those placing the keys to borrowed intelligence into the hands of everyone, everywhere. If we mandate widespread adoption without fostering widespread understanding, we have no right to be surprised when the consequences begin to arrive.