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And we’ll be able to transport humans and cargo around planet Earth in 40 minutes or less, opening up unprecedented industries and access.
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I expect military decisions will increasingly be made at the edge, where autonomous drones, sensor networks, and battlefield AI systems operate with minimal human intervention.
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I believe XR devices will become a valuable tool in enabling developers to build physical world applications.
In 2025, I believe we’ll see a surge in demand for nuclear energy.
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In particular, I expect that 2025 will see accelerated demand for: electrical engineers, controls engineers, mechanical and mechatronics engineers, manufacturing engineers, RF engineers, industrial engineers, test engineers, quality engineers, and high-skilled technicians/robotic teleoperators of all types.
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The real commercial opportunity lies in developing verticalized products that use Earth observation as just one tool among many to address industry-specific needs.
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Once we’ve collected billions or trillions of tokens of robot data, however, what comes next?
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By enabling people to monitor their health proactively, these tech options refocus the healthcare model on prevention, early detection, and keeping healthy patients healthy for longer.
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In the coming year, exciting new use cases will be unlocked: everything from generated video companions to AI bandmates.
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With emerging consumer products tailored to this purpose, in the year ahead I predict more people will begin using AI as an infinite memory bank to guide their decision-making, interactions, and personal growth.
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I’m excited to see similar controls come to knowledge work.
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I predict this shift will spawn a new class of analytical tools that seamlessly merge numbers with real-time external context.
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As AIs make the transition from NPCs (non-playing characters) to being the main characters, they will begin to act as agents.
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But the key point here is decentralization: Running on a permissionless set of nodes, and coordinated by a consensus protocol, the chatbot could even become the first truly autonomous billion-dollar entity.
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That’s why the property of privacy-preserving “uniqueness” is the next big idea in building a web we can trust.
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Rather, prediction markets set the stage for more distributed technology-based information aggregation mechanisms — which can be used in applications ranging from community governance and sensor networks to finance and much more.
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In the U.S. — given that the SEC is set to require clearing treasuries through legacy, burdensome, and costly infrastructure next year — expect more conversations around how blockchains could increase transparency, efficiency, and participation in bonds trading.
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We could finally use blockchains to carry out secure, private voting for elections, beginning with low-stakes pilots to limit cybersecurity and auditing concerns.
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As costs decrease due to maturing infrastructure in the crypto industry and other emerging technologies, the practice of tokenizing assets will spread widely across sectors.
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Imagine, instead, that those lengthy documents — including text, images, and case precedents — could be used to train regulation-specific LLMs.
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I predict this sort of cord-cutting — ripping out legacy systems of record in favor of more dynamic upgrades — will be replicated many times over.
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The next frontier will be AI that not only captures such data for the worker, but then suggests a sequence of actions to take.
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While some predict this shift will usher in an era of conventional private equity, where large firms buy and transform assets, I see greater potential in AI-powered, vertical-specific service startups.
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I believe we’re on the precipice of seeing a next generation Pixar leverage AI-native storytelling formats that blur the lines between film and video games.
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I believe the next generation of companions will become much more engaging and lifelike.
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For aspiring creators, content that used to require cameras, audio equipment, and green screens can now be replicated with AI software.
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New gen AI-powered sales tech will likely automate much of sales reps’ administrative work, making sales organizations significantly more efficient and productive.
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Over the next five to 10 years, I believe that a world-class Hypercenter will need to develop about three to six gigawatts of installed capacity to keep a seat at the table of frontier AI.
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In the coming year, I expect smaller, on-device AI models to dominate in terms of volume and usage.
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However, state-of-the-art models are nevertheless showing improved performance on “reasoning” tasks like math, physics, and coding.
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I see AI coming to every application and every device.
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In 2025, I expect continued advancements in free-space optical communications, driven by nearly inelastic demand for communications bandwidth.
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In 2025, “big is back” in the biopharma world, as even early-stage biotech startups begin to go after big, common diseases again.
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We believe 2025 will see specialist AI models serving as “super staffing” platforms in the high stakes environment of healthcare.
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Looking to 2025, startups increasingly need an earned secret: a unique insight (head start) around an emerging target; a differentiated approach to hitting a hot one.
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In 2025, I expect AI-generated video to become further segmented by use case, giving creators more control and better results.
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While we’re seeing some enterprise interest in stablecoins (and early adoption in peer-to-peer payments), I expect to see a bigger experimentation wave in 2025.
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With the U.S. poised to foster and accelerate progress for its crypto ecosystem in 2025, I expect the DUNA will become a standard for U.S. projects.
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That’s why I expect more teams to leverage the contributions of others, reusing more off-the-shelf blockchain infrastructure components in 2025 — from consensus protocols and existing staked capital to proof systems.
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In 2025, more crypto product designers will begin with the end-user experience they want, and then choose the appropriate infrastructure from there.
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That’s why I think our industry will adopt this ethos in 2025: “hide the wires”.
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But we may see more of this porting happening in 2025.
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In 2025, crypto should further develop as a computing movement.
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In 2024, many startups pursued “messy inbox problems” as a wedge to apply LLMs to judgment-intensive tasks. 2025 will be the year of AI companies turning differentiation into lasting defensibility.
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I believe 2025 will be the year that AI-native UI and UX paradigms will be established for the next generation of SaaS companies.
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I predict 2025 will be the year of AI copilots — eventually, every white-collar role will have one, passing off the most painful parts of their jobs, and freeing up workers to focus on more creative or strategic tasks.
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Whether it’s training autonomous systems in virtual environments, helping consumers shop with 3D visuals, or scaling tomorrow’s workforce via simulations, I think game tech will infuse every sector in 2025.
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I predict 2025 will be the year of the AI-native application layer.
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