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Laura and the team at SlovakiaTech in Kosice invited Matthew back as their keynote for the third time in three years, this time to speak on the future of AI and generative AI.
The backdrop was a white hot market. OpenAI had reached a market cap of over $30 billion in a few months, and ChatGPT had passed 100 million monthly users to become the fastest growing app in history. To call it a hot area would be an understatement.
"When you dig deeper into the world of Generative AI you'll suddenly realise that everything that's happening is just the tip of the proverbial iceberg."Matthew Griffin, Kosice, December 2023
Most people know OpenAI and developers such as Amazon, Anthropic, Baidu, Google DeepMind and Meta for their large language models and chatbots. But having studied generative AI for the past decade, Matthew argued that what people see is only the tip of the iceberg, and that most of the technology's most interesting capabilities are being missed.
The keynote looked to 2045 and beyond, asking what comes next, exploring the world of AI creativity, and visiting the corners of the AI universe that very few people see. The aim was to show the audience what the technology will do for, and to, society over the next 25 years.
311 Intelligence
What this means for your leadership team
Chatbots are only the surface.
The market is crowded around large language models, with ChatGPT passing 100 million monthly users. Matthew's point is that this visible layer hides most of what the technology can do. A team that plans only around chatbots will plan too narrowly.
Think in decades, not quarters.
The keynote looked to 2045 and beyond, a span of 25 years. Exponential technologies keep reshaping the economy, so short planning cycles will miss the larger shifts. Leaders need a long view alongside near-term action.
Local power is part of the story.
The session asked what the technology will do for, and to, society. Technology colonialism is a live trend, as countries push back when foreign AI shapes local culture, data and economic power. Boards should weigh who controls the systems they rely on.
Three questions for your next leadership meeting
Which of our plans assume chatbots are all generative AI can do?
What would change if we planned to 2045 rather than next year?
Who controls the AI systems our organisation depends on?
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.
It means the visible chatbot market is a small part of a much larger shift. Organisations should look past current tools and plan for what generative AI may do to their sector over the next 25 years.
How does generative artificial intelligence relate to this keynote?
It is the core subject. Generative AI makes new text, pictures, sound, video and code from a prompt, and our data places wide use at 2025 with an action of Act now. Matthew argues its range is far wider than most people see.
How do large language models relate to the keynote?
They are the part most people know, through chatbots from firms such as OpenAI, Google DeepMind and Meta. Our data places wide use at 2024 with an action of Act now, but the keynote treats them as the tip of the iceberg.
How does the exponential technologies trend relate?
It explains why the long view matters. These technologies keep improving and reshaping the economy even as classic chip scaling slows, so a 2045 horizon is a practical planning tool. Our action for this trend is Act now.
How can 311 brief our leadership team on this?
Through a private executive briefing or leadership workshop, tailored to your sector, in person first.
Bring this to your leadership teamA private executive briefing or leadership workshop, tailored to your sector. In person first, anywhere in the world.
Analysis by the 311 Strategic Intelligence Unit, from Matthew Griffin’s session and 311 data.
If Matthew gave this session today
Creative machines may become the dominant creative force.
The Future of Innovation and Creativity asks what happens when creative machines, not humans, become the dominant creative force in the world, the question at the heart of the AI creativity Matthew explored in Kosice.
