Why the Next 20 Years of Discovery Could Outpace the Last 100

(4-5 minute read)

There is a moment, easy to miss, where the future quietly accelerates.

Not with a single invention or a headline that changes everything overnight, but with a shift in how quickly ideas can move from one mind to another. That shift has been happening for a long time, and we are now reaching a point where its consequences are becoming difficult to ignore.

For most of human history, knowledge was slow.

If you go back far enough, learning depended on memory, storytelling, and the fragile oral transmission of ideas from one generation to the next. When writing emerged, it changed everything, though only for a few. Monks copying manuscripts by hand preserved knowledge with extraordinary care, yet each copy took time, and each mistake could alter meaning. A book was not just valuable. It was rare.

Then came the printing press.

What had once taken months could now be done in days. Ideas began to multiply. Books became more common. Knowledge started to move, not just through small circles of scholars, but outward into society. Over time, newspapers followed, carrying information faster still. Radio and television extended that reach further, bringing news and ideas into homes in near real time.

Alongside this, something equally important was happening.

Literacy was spreading.

Schools became more widespread. Education moved from privilege toward expectation. Entire populations learned to read and write, opening access to knowledge on a scale that had never existed before. Libraries filled with books that anyone could enter and explore. Encyclopedias gathered vast bodies of knowledge into structured forms. Universities expanded, and institutions like the Open University in the UK made it possible for people to learn regardless of where they lived or what stage of life they were in.

For the first time, knowledge was not just available. It was reachable.

And then the internet arrived.

At first, it felt like an extension of what had come before. A faster library. A larger encyclopedia. A place where information could be accessed instantly from anywhere. But there was still a constraint. You had to know what you were looking for. You had to ask the right question.

Search became the skill to master.

Those who knew how to navigate information could find extraordinary things. Those who didn’t could feel overwhelmed by the sheer volume of it. The world had not run out of knowledge. It had run into abundance.

Now we are entering another transition.

Artificial intelligence is changing the relationship entirely.

You no longer need to search in the same way. You can ask a question in natural language, and instead of being given a list of links, you are given a structured response. Something that connects ideas, interprets context, and presents information in a form that can be used immediately.

That may sound like a small step, but it is not, because it dramatically reduces friction.

And when friction disappears, speed increases.

What we are beginning to see now is not just faster access to knowledge, but faster creation of it. Researchers are using AI to analyze data, generate hypotheses, and test possibilities at a pace that would have been unthinkable even a decade ago. Patterns that might have taken years to identify can now be surfaced in days. Experiments can be designed, refined, and iterated with far greater efficiency.

Discovery itself is accelerating.

This matters more than it might appear at first glance.

Every major improvement in human life has come, in one way or another, from the accumulation and application of knowledge. Better medicine. Better energy systems. Better infrastructure. Longer, healthier lives. Each of these is the result of ideas being discovered, tested, and then built into reality.

If the rate of discovery increases, the rate of improvement increases with it.

Looking ahead over the next twenty years, it is reasonable to expect that this acceleration will continue and possibly intensify. AI systems will become more capable, more integrated into research, and more proactive in identifying areas worth exploring. Instead of waiting for questions, they will begin to surface possibilities.

Not just answers, but directions.

That changes the nature of innovation.

Rather than relying solely on human intuition to decide what to investigate next, we will have systems that can scan vast fields of knowledge, identify gaps, and suggest paths forward. Human researchers will still be essential. Creativity, judgment, and ethical consideration remain deeply human strengths. But they will be supported by tools that extend their reach dramatically.

The result is likely to be a compounding effect.

Faster discovery leads to better tools. Better tools lead to even faster discovery. Over time, this creates a feedback loop that can push progress forward at an increasing pace.

What might that mean in practical terms?

In medicine, we are already seeing earlier detection of diseases, more personalized treatments, and faster development of new therapies. In energy, we may find more efficient ways to generate, store, and distribute power. In materials science, new substances could emerge that change how we build everything from homes to spacecraft.

Some of these changes will be visible and dramatic. Others will be subtle, improvements that accumulate quietly until the difference becomes undeniable.

But one thing is certain: AI is.

The genie is not going back inside the lamp. We have all seen dramatic changes happening through the use of AI and we know how often we see it mentioned in print, on television, on the internet, and in quiet conversations in the cafe or pub.

But with all those changes, all those conversations, all that new innovation, there is one thing we should remember when we think about the speed of progress.

ChatGPT was only released for public use on November 30, 2022, less than three and a half years ago. Its impact on society has been profound.

That's what makes the next 20 years so interesting and exciting.

There are, of course, challenges.

Access to knowledge does not automatically guarantee good outcomes. The way information is used matters as much as the information itself. There will be questions about control, bias, and the concentration of capability. There will be debates about how far automation should go, and where human oversight must remain.

These are important discussions, and they will shape how this next phase unfolds.

Yet alongside them sits something that is easy to overlook.

Possibility.

We are moving toward a world where knowledge is no longer limited by access, geography, or even the ability to search effectively. It is becoming something that can be brought to you, shaped to your needs, and extended beyond what any one individual could manage alone.

That has profound implications.

It means that more people, in more places, can contribute to solving problems. It means that ideas can move faster from concept to reality. It means that the gap between imagining something and building it may continue to narrow.

You might see it most clearly not in a laboratory, but in a hospital room. A child arrives with symptoms no one can quite explain, the kind of case that once would have taken months to unravel, time that child may not have had. Now the data is analyzed in minutes, patterns matched, a treatment found before the condition can take hold.

The child recovers. The crisis passes. The room shifts from fear to something quieter, more fragile. A hand held a little tighter. A breath that finally steadies. The kind of relief that leaves people shaken because it came so close to going the other way.

And in that moment, those parents are not thinking about technology or systems. They are thinking that the child they love so deeply is still here. That this future, with all its speed, gave them something that would not have been possible before. And it is hard not to feel that this kind of progress is something worth believing in.

If you then step back and look at the knowledge arc, from monks copying manuscripts by hand to AI systems helping to generate new inventions, the direction is very clear.

We are increasing the speed at which humanity can think.

And when that happens, everything else tends to follow.

The question is not whether this will change the world.

It is how we choose to use it when it does.

Because the tools we are building now will shape not just what we know, but what we become capable of doing with that knowledge.

And that, perhaps, is the most important shift of all.

Until next time,
​Brian​
BA Gillies

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