Globally recognized futurist & keynote speaker, Sophie Hackford delivers 220+ talks on emerging tech. Advisor to John Deere & co-founder of 1715Labs. Expert in AI, quantum computing & the future of humanity.

Sophie will talk about the Earth becoming a computer, or a machine. Our home planet is being augmented to be capable of calculating things about itself, and about us.
New sensing technologies are stretching the fabric of intelligence to include robots, satellites, and sensors, both powered by - and creating - huge amounts of data. Our lives are becoming increasingly entangled with robots, as our data powers their lives.
From tiny antbots to drones to orbiting satellites, we are materially changing the surface of our planet (and beyond!) with hardware and software. Terraforming our planet just as much as others plan to terraform Mars.
Machine intelligence now lives out in the wild, in our homes, offices, cities, farms, countries. These computational landscapes are starting to change how we understand and optimise life here on Earth – what we can know and what we can do.
Finally, a new kind of intelligence is evolving from this planetary computer that we didn't program in. Generative AI is one of the first examples of this emergence. As we can no longer lift the lid and see how it works, we need to ask some important questions about regulation, privacy, ethics, equity, and the ability to audit and control these new technologies. The role of humans in this brave new future will likely be a source of debate for years to come.
Sophie will argue that we need a new science of intelligence to help us get to grips with our new robot buddies and our new robot home.
Simulations and digital twins will power our largest assets, from wind turbines to airports to supply chains. Vast amounts of data powers these new kinds of tools: simulations that can monitor and manage buildings, cities, ports. Even a virtual version of ourselves running in the cloud - alerting us to possible 'maintenance' needs. We will connect these simulations together using software, in the same way that we connected computers in the 90s. The resulting 'physical internet' will create huge software worlds that we can use to tackle climate change or pandemic management. There is no autonomy (cars, robots, drones) without these synthetic brains. The intersection of AI with robotics and with synthetic environments is the holy trinity where the exciting stuff will happen. As we build this shadow world, with digital replicas of our homes, our cities, and our bodies, Sophie will explore the profound questions that emerge as we hook up to the machine.
Sophie will explore the technologies being developed for the new space race. Far from being just niche aerospace engineering, some may surprisingly hold the keys to solving some of Earth's major challenges.
Not only are we already dependent on space for Earth's key infrastructure, many critical new technologies (biotech, autonomy, cybersecurity...) are currently being tested off-Earth.
Extra-terrestrial innovation teems with opportunities to test novel manufacturing techniques or robotics in unusual conditions (low-gravity, high radiation, low temperatures). Experiments on cancer cells are conducted on the ISS, autonomous robots recently landed on Mars, solar sails offer the promise of 'free' energy in space.
Whether beaming power from space, connecting an interplanetary internet, or terraforming Earth to mitigate climate change - these innovations will shape our lives on our home planet just as much as they might make us a multi-planetary species.
It's getting very busy in space, feeling sometimes like a cross between the Gold Rush and a giant laboratory. Sophie's talk will explore how this bustling living lab might change our world.
Quantum algorithms and hardware offer new power and new routes to answering complex questions. Whether novel chemistry, the foundations of biological life, battery innovations or supply chain complexity, this new compute architecture suggests we could unlock bottlenecks in science and tech using quantum muscle and brains.
Quantum sensing could transform global positioning and complement GPS, and so enable widespread robotic autonomy. Nearer term than quantum computing, quantum sensors will be integrated into our everyday lives, from soil sensing to cardiac diagnostics.
A lot of money will be spent on physical intelligence infrastructure in the next decade - upwards of $7 trillion. This has already started re-orienting supply chains and geopolitics, and making a very real imprint on our planet: Meta’s Prometheus data-centre cluster will be almost the size of
Manhattan.
What are the consequences will this massive injection of capital and enthusiasm, beyond AI? Can we expect cheap, tested compute components to flood the market? And an acceleration of once-unfashionable energy technologies, like fusion or geothermal? The 2nd and 3rd order consequences of this capex explosion will lead to tremendous innovations in unexpected places. Perhaps a return to supersonic flight?
These new compute and energy facilities will be robot-built and robot-maintained. We might finally see gainfully employed robots out in the real world. How shall we design for, and inhabit, these landscape-scale robotics.
If AI to evolve, we don’t just need more data but a new class of data collected by a new class of sensors—ones co-evolved between compute and biology.
If we feed AI with human-centric data—as we do today—it can only access a limited portion of the vast hypersensory space available to many other species: if we can’t follow chemical trails in the oceans like a mysid or navigate like a bat, perhaps our computers can?
Great strides have been made in the past 2 decades in computer vision—but our sight is tangled up with our cognition. AI might free us from what language does to us - and allow us to see, hear, smell, taste, and sense the world in glorious technicolor.
Sophie will explore how navigation, disease diagnostics, weather forecasting... will be improved by novel sensing technologies.
Computation is not a human construct. After 3bn years of evolution, there are an incredible number of models of computation out there—most of which are new to science and process information in an entirely different way.
Language models are amazing. But if we want to understand our planet, what humans say about it is tiny and imperfect. How we compute about our planet is tiny and imperfect.
Experimental drones already run on biological computers built from cultured mouse brain cells. Singapore is building a data-centre with racks of cultured human neurons where you’d expect silicon to be. We might be able to grow leafy supercomputers everywhere. These are not aiming to replace silicon, but to be part of the orchestra of available compute.
AI is revealing physics, chemistry, and biology to us in thrilling ways and might enable us to build computers as Feynman predicted. Computers that operate on the same principles as - for example - penicillin operates itself.
The space economy is a puzzle, and few can see the full picture. 2026 is seen as an inflection point in the story of the space economy.
Space is at the center of global resilience. The more skyscraper-sized rockets launched into space, the more Earth’s economy relies on orbiting robotic infrastructure. It is getting very busy up there...
The latest buzz is around million-satellite data centers in space. Space is becoming a computing domain but also an industrial one. Orbiting autonomous warehousing, zero-G manufacturing, pharmaceutical R&D, and energy generation will accelerate as launch continues to fall in price.
Some see space as a transport logistics layer for Earth—the 'last 62-mile delivery'—keeping military essentials like batteries in pods for delivery anywhere on Earth within an hour. Musk has long promised to transport humans from Sydney to NY outside of the Earth’s atmosphere.
We may have to share strategies with Lunar/Martian architects in designing habitats for extreme environments—housing in Texas with 45-degree summers. Will we need Earthsuits in parts of the world?
The off-world economy may dwarf that of Earth’s in our lifetimes. Sophie will explore the competing interests, from those who see it as a theatre of war, trillion-dollar economy, mysterious scientific frontier, or sci-fi dream
We do not have mastery of the quantum world yet. But the cutting edge of quantum R&D is full of promise for AI, biotech, compute, security + codebreaking, materials science, sensing, military technologies, and much more.
Today, compute is (relatively) easy, it’s the framing of the problem that is where competitive advantage lies. Then it’s just an optimisation problem which classical and quantum are both seeking to solve.
Quantum optimisation R&D has led to a renaissance in classical compute optimisation, but we still act as if we don’t believe in the story of the last half-century of compute. Take-off in compute is always happening (quantum or not), and we have only just begun on this journey.
Sophie will tackle some of these questions: