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The Great Technology Race: Who Wins by 2040

Most leaders plan for the future they can see, which is about 30% of what is coming. This keynote shows the rest, who is set to lead by 2040, and what one person can do about it today.

Matthew Griffin: The Great Technology Race: Who Wins by 2040ClickTap to watch with sound
9.3/10Audience ratingRated by 20 attendees straight after the sessionSPP Media
Cyprus, October 2026
Matthew GriffinFounder, 311 Institute
G7 · G20governments advised
850+keynotes
102countries
17codexes
Future of society sessions forSlovakiaTechSamsungCalifornia Governor's OfficeThe Mentor ProjectBritish Property FederationRWE
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About this keynote

Firstly, thank you to the team at SPP Media for inviting me to Cyprus to give a keynote on the great technology race, and who wins it by 2040. After hearing some very big numbers from the speakers before me, data centres in space, millions of GPUs and trillions of dollars of AI spending, I wanted to bring it all back to just one number. One. You.

Everything is changing at once: technology, society, the environment and the economy, and it is all getting faster. The problem is that we build our lives, companies and countries for the future we can see, and most of us only see about 30% of what is here and what is coming. In 2016 I talked to Bloomberg in London about what we then called creative machines. In 2022 generative AI arrived, and no company survived first contact with it. Today we are scrambling again, this time with agentic AI, which we were calling personal digital assistants more than a decade ago. The future was being built long before most people noticed.

So we explored the 70% most people miss. A future shaped by humans using AI, and a future shaped by AI itself, which we think starts setting its own goals in earnest from about 2031. AI that has already created and pumped money through cryptocurrencies. AI that has been put in charge of mission critical cyber defence. And, yes, all of the bad news you read about, from autonomous weapons to misinformation.

But the world also has solutions, and that is the part the news rarely shows you. At the 311 Institute we work with national security agencies, governments and large organisations to build them, such as fully autonomous and adaptive cyber defence systems, while elsewhere AI is now being used to detect and watermark synthetic DNA in labs. In healthcare, predictive AI and wearables can now tell you that you are going to be ill before you feel it, which moves us from sick care to health care.

Then we looked at speed. When a new frontier model is released its capabilities reach everyone who is connected at the same moment, so your world can change in about 69 milliseconds. Today's leading models score an IQ of about 155 on Mensa tests, have around 4,000 times more general knowledge than any human, and learn around 500 million times faster. Between 2028 and 2032 we expect artificial general intelligence with an IQ of 800 or more. Are you building your company, or your country, for that?

And who wins the race? We think about 39 things decide national power, from AI, compute, energy and critical minerals to talent, standards, manufacturing and capital. On that basis our view of the leading powers in 2040 is the United States, China, India, Russia, the UK, Germany, France, Japan, South Korea and Brazil. Europe is declining on that index, but it is getting a lot right, including regulating AI, because no one wants an unregulated AI loose in their banking system. The bigger questions are who owns the AI, whether the largest technology companies are now more powerful than many governments, and what a country does if the intelligence layer it depends on can be switched off. One answer is compound AI: using several models from different places.

Finally, we came back to the one number that matters. Over the next 15 years we think the cost of intelligence falls about a thousandfold, that by 2030 AI produces around half of the world's new knowledge, and that by 2040 anyone making physical goods can make about five times more, while digital output, software, content and apps, rises about 770 times. For Cyprus, an economy of about $50 billion, the question is what happens to output, earnings and GDP when every adult can command a team of AI agents.

So my challenge to the audience was simple. This afternoon, use an AI tool to build a small piece of software, for your life, your family or your sports club. Then ask the most dangerous question there is: what else can I build? And then ask how you could sell it.

311 Intelligence

What this means for your leadership team

Most leaders see only part.

The session argued that most of us see about 30% of what is here and what is coming. Any plan built on that view misses the other 70%. Leadership teams should test where their strategy rests on what they can see today.

Speed shrinks the warning time.

A new frontier model reaches every connected user at once, so conditions can shift in about 69 milliseconds. 311 expects artificial general intelligence between 2028 and 2032, with an IQ of 800 or more. Our data puts wide use at 2033 and the action level at Explore.

Own your intelligence supply.

The session asked who owns the AI, and what a country does if the intelligence layer it depends on can be switched off. One answer is compound AI, which uses several models from different places. 311 rates it Act now, with wide use by 2027.

Three questions for your next leadership meeting

  1. Which parts of our strategy rest on the 30% we can currently see?
  2. What would we do if our main intelligence supplier were switched off?
  3. How will staff building their own apps be governed in our organisation?

The trends and technologies behind this session

From the 311 Starburst, the 311 Strategic Intelligence Unit’s map of the technologies and trends shaping the next 50 years.

Questions and answers

What does this session mean for organisations?

Technology, society, the environment and the economy are all changing at once, and faster. Over the next 15 years the cost of intelligence is expected to fall about a thousandfold. By 2040 digital output may rise about 770 times and physical output about five times. Organisations need plans that assume this scale of change.

How does compound AI relate to the session?

The session raised the risk of depending on an intelligence layer that can be switched off. Compound AI joins several models with search and other tools into one system. 311 rates it Act now, so leaders can start building that resilience today.

How does artificial general intelligence relate to the session?

The session expects artificial general intelligence between 2028 and 2032. 311 data shows a first product by 2032 and wide use by 2033, with the action level at Explore. Leaders should decide now how they would respond if it arrives on that timeline.

How can 311 brief our leadership team on this?

Through a private executive briefing or leadership workshop, tailored to your sector, in person first.

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Analysis by the 311 Strategic Intelligence Unit, from Matthew Griffin’s session and 311 data.

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"Secured the highest average rating on the day. One client rated the session 10 out of 5."John Rugg, AXA Investment Managers

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