Hassabis's latest shocking prediction: The time left for the old world is less than 2,000 days
On May 29, 2026, on the Stanford campus.
After the Google I/O Developer Conference, Demis Hassabis, CEO of Google DeepMind, didn't return to London. Instead, he sat on the stage of a dialogue at Stanford. The auditorium was filled with students, young entrepreneurs, and tech professionals.
During this dialogue, Hassabis said three important things.
The first one silenced the audience for two seconds.
The second one made everyone start calculating the days.
The third one actually has a great deal to do with all entrepreneurs.
This article will thoroughly explain these three statements, then point out three common mistakes Chinese entrepreneurs tend to make, and finally offer four specific action suggestions.
It is hoped that today's content will inspire you.
1. Hassabis's Three Statements
Each One Deserves In - Depth Reading
The first one: "Humanity is standing at the foot of the singularity."
Note his choice of words, "at the foot of the mountain," not "at the top of the mountain" or "half - way up the mountain." If he thought the singularity had arrived, he would have said, "We are crossing the ridge." If he thought it was still far away, he would have said, "There's a mountain in the distance."
"At the foot of the mountain" means that you've reached the base of the mountain but haven't started climbing yet, yet you can already see the slope getting steeper when you look up.
This is not a metaphor. Hassabis is someone who values precision as a belief. He is a chess grandmaster, a neuroscience doctor, and a Nobel laureate in chemistry. His choice of the words "at the foot of the mountain" was well - considered.
He used the term "singularity" because he sees that AGI (Artificial General Intelligence, the same below) is only 4 to 5 years away from us.
In the field of artificial intelligence, "singularity" specifically refers to a turning point in technological development. After reaching the singularity, the intelligence level of technologies such as artificial intelligence will surpass human intelligence, entering a stage of "intelligence explosion."
Subsequently, technological growth will become uncontrollable and irreversible, and human society will face fundamental changes.
The second one: "AGI will probably arrive around 2030, with an error of no more than one or two years."
This statement is extremely information - dense. Breaking it down, there are three layers:
The first layer: He is talking about AGI, not "more powerful AI." AGI means that machines can reach or exceed human levels in most cognitive tasks, which is a qualitative change.
The second layer: He gives a time anchor: 2030. It's about 3 to 4 years from now. As a top figure in the global AI industry, Hassabis is willing to publicly bet on this time after looking at training data, computing power curves, and model architectures.
The third layer: "An error of one year." This is much bolder than saying "around 2030." He is narrowing the range of uncertainty.
The third one: "Most importantly, firmly grasp your own initiative. The script of the future has not been written yet. Don't believe anyone who says the future is already predetermined."
This statement may sound like a cliche, but it's not.
Think about it: Standing at "the foot of the singularity," Hassabis has just told you that AGI may arrive in 3 - 4 years. He knows better than anyone how powerful AI is. So he advises everyone to embrace and explore the capabilities of AI tools, but he emphasizes seizing your own initiative even more.
He put this statement at the end of the entire dialogue. It's not just a casual remark; it's probably a conclusion he's thought about for a long time.
How impactful are the two things, "standing at the foot of the singularity" and "AGI arriving around 2030"?
Let's first discuss these two things thoroughly. Otherwise, the weight of the third statement won't be felt.
2. The Picture Painted by the First Two Statements
1. What does 10 - fold impact multiplied by 10 - fold speed equal?
Hassabis said, "The impact (of AI) is ten times that of the Industrial Revolution, and the speed is also ten times. It will happen within 10 years, not 100."
What did the Industrial Revolution change?
The mode of production changed from manual to machine;
The urban form changed from villages to cities; the class structure changed from feudal to capitalist;
The global power pattern changed from agricultural empires to industrial powers. It reshaped human society.
A 10 - fold impact compared to the Industrial Revolution means that human society will undergo earth - shattering changes.
What does 10 - fold speed mean?
The Industrial Revolution in the UK took nearly 100 years, from the 1760s to the mid - 19th century when it was initially completed.
Now, 100 years are compressed into 10 years. This speed of change will make most people out of breath.
It took a British textile factory owner about 15 - 20 years from the first time he heard about the steam engine to the time when the entire production line was powered by steam. They had an entire generation to observe, make mistakes, and adapt.
Now, you don't have an entire generation. You only have a window period of about two or three years.
This is the true meaning of "standing at the foot of the singularity": The magnitude of change brought by AI is on the level of the Industrial Revolution, but the time left for you to react is only one - tenth of that in the Industrial Revolution era.
Hassabis didn't make this judgment out of thin air.
He has seen AlphaFold solve a protein - folding problem that had troubled the biological community for 50 years in just a few months; he has seen AI swallow up work in materials science, weather forecasting, and chip design that used to take human teams several years to complete at a visible speed.
As an entrepreneur, what assumptions should you make based on this judgment? Obviously, it's to prepare in advance.
Only by preparing in advance can your efficiency be higher than others', and your team can find the combination point between AI and your business earlier than others.
If you prepare as if "it's still early," one day you'll suddenly find that the entire track has been re - created, and you don't have a ticket to enter.
There have been too many such lessons in history.
In 2007, when Steve Jobs held up that iPhone, Nokia's executives thought the touch - screen was just a toy. Four and a half years later, Nokia's mobile phone business was sold to Microsoft.
In 2015, many people had heard of the term "artificial intelligence," but very few companies actually started to restructure their businesses using deep learning.
By the end of 2022, when ChatGPT was released, those who had prepared for seven years and those who had just heard the term "large - scale model" were no longer on the same starting line.
Humans have a systematic bias: We always underestimate the speed of technological change. It's not because we're stupid; it's because past experience tells us that change always comes slowly.
But this time, the change won't come slowly.
2. From Panic to Action
So, if you accept the two premises of "standing at the foot of the singularity" and "AGI arriving around 2030," you'll have two instinctive reactions:
One is panic: "Five years? I don't have time to do anything."
The other is giving up: "Anyway, AI can do everything. It's useless for me to do anything."
Hassabis's third statement is aimed at these two reactions. Panic is useless because it's not an action.
Giving up is even more useless because AGI is not the end of the world; it's a rewrite of the old world. And Hassabis tells you that the power to rewrite is still in your hands. The only thing worth betting on is your initiative.
3. What Exactly is Initiative?
Let's first talk about what it isn't.
It's not "you have to work hard," which is a meaningless statement. It's not "execution ability." Execution ability means doing known things well, but in the AGI era, you often don't know what to do at all.
So what is it? Breaking it down, there are three things.
The first: You have to be able to make choices, not just optimize.
Suppose you're the owner of a restaurant.
What has been your core competitiveness in the past ten years? Maybe it's good food, a good location, and a high turnover rate. These abilities have one thing in common: They all answer the question of "how to do existing things better," which is optimization.
AGI is best at this. It can cut your supply - chain costs by 15%, maximize the turnover rate, and dynamically adjust the menu according to the season and customer flow to the optimal level. The experience you've gained through ten years of exploration, it can calculate in a month.
But there's one thing it can't calculate: Should your restaurant switch to only doing take - out? Should you introduce pre - made dishes? Should you merge with another brand and change the track?
Why can't it calculate? Because the answers to these questions are not about "being better," but about "being different."
Optimization is about working within a framework, while making a choice is about changing the framework. AGI can achieve the best within the framework you give it, but it can't decide "what framework to give." Only you can do that.
After AI has optimized things to the extreme, what's left? It's making a choice. Choosing what to do is much more valuable than choosing how to do it.
The second: You have to actually get involved, not just watch.
Often, a thing that you've been hesitating about for three months can be fully understood in three days once you start doing it.
This is not because you suddenly become smarter. It's because when you sit there thinking, all you have in your mind are simulations.
Simulations don't cost anything and don't generate real information. Only when you actually do it, invest money, hire people, meet customers, and get rejected can you get feedback from reality.
AGI can help you simulate ten thousand market strategies, but it can't take the hit for you or bear the pain of losing money. But it's precisely that pain that can improve the accuracy of your next judgment.
This is why "wait and see" is the most dangerous strategy. Those who wait think they're observing, but in fact, they're missing out. The truly valuable information can only be obtained through actions. Those who wait for two years to start are not starting from zero; they're starting from a negative number because their competitors have already gone through several iterations.
In the era of information explosion, the information obtained through actions is actually the most scarce. It's bought with real money, not searched for on a search engine.
The third: You have to know who you are, not let the market decide for you.
An entrepreneur has data supporting two directions: AI + healthcare and AI + finance. He chooses healthcare. Why? You could say it's intuition.
But what is intuition?
It's all the experience, values, failures, preferences, and beliefs about "what's worth doing" that he's accumulated over the past few decades. These things are intertwined to form an inseparable whole. You can't write it as a prompt and feed it to a large - scale model because even he himself can't clearly explain the weight of each layer.
AGI can help you create better healthcare AI and better finance AI. But it can't answer the question of "why healthcare," because the answer is not in its data but in this person's experience.
What you choose defines who you are.
Putting these three aspects together, it can be summarized as: The stronger AGI is, the more valuable initiative becomes.
Because AGI has made "how to do" almost free - execution, analysis, and optimization are everywhere. But the three things of "what to do," "whether to do it," and "who I am" will always have limited supply.
4. Three Common Mistakes
The three mistakes are increasingly hidden.
The first: Treat cost - saving as a strategy.
For example, laying off customer service staff and implementing AI. The response time is reduced, and work orders are closed faster. The boss looks at the report and thinks it's right. A few months later, the renewal rate starts to decline. Customers can't say what's wrong, they just feel that "it's not as close as before."
This kind of failure is the most unjust: All the visible indicators are rising, but the cause of death is hidden in the invisible places.
