Our Thesis
Acceleration of Abundance
We use “abundance” to describe a future in which sustained technological progress and innovation dramatically expand access to opportunity, health, and economic prosperity.
We are now in a period of unprecedented technological acceleration. Intelligence is becoming cheaper, tools more powerful, and the cost of building new companies is collapsing while the speed at which categories form, evolve, and disappear continues to increase. In this environment, the limiting factor is no longer access to technology itself, but judgment, execution, and the ability to operate decisively amid uncertainty.
Among the forces driving this acceleration, artificial intelligence stands apart. For the first time, we are building agentic systems capable of amplifying the process of discovery, engineering, and knowledge creation itself. As these systems improve, they are increasingly able to assist with the work required to build the next generation of technologies, including the recursive development of better AI systems. As this trajectory continues, artificial intelligence (from AGI to eventually ASI) will dramatically accelerate scientific discovery and technological invention. Breakthroughs that once required decades of research would occur on far shorter timelines, unlocking advances in medicine, energy systems, and computing.
We founded HOF in 2016 to partner with mission-driven founders building the world-changing technologies that will define this next phase of progress. Our focus is on supporting ambitious builders who are willing to pursue difficult technical problems, move quickly as capabilities evolve, and help scale the infrastructure and applications that will shape a more abundant future.
As an aside, history tells us that these same sorts of opportunities are also capable of producing the greatest financial returns.
Recursively Self-Improving Intelligence and Its Infrastructure
Artificial intelligence is advancing at a pace that would have seemed improbable only a few years ago. Systems that once struggled with narrow tasks can now reason across domains, write complex software, assist with scientific research, and operate as collaborative tools for engineers and researchers. Progress at frontier laboratories such as Anthropic and OpenAI suggests that capabilities will continue to scale as models gain access to larger datasets, more compute, and improved training techniques.
An important shift is now underway: these systems are increasingly used to help write code, analyze research, optimize training pipelines, and accelerate experimentation, in other words, to build the next generation of AI itself. As each generation contributes to the next, progress compounds, and we expect this dynamic to produce increasingly capable systems over the coming years, culminating in artificial general intelligence (AGI) and eventually artificial superintelligence (ASI). While the precise timeline remains uncertain, the implications are clear: the pace of technological progress will accelerate significantly as intelligence becomes more abundant and widely available.
As this transition unfolds, the bottleneck to further progress is shifting from the digital to the physical. Compute, energy, advanced semiconductors, high-bandwidth memory, large-scale data centers, and high-speed interconnects form the backbone of modern AI, and each of these inputs is difficult and time-consuming to scale, often requiring years of engineering, capital investment, and global supply chains to bring new capacity online. Meanwhile, demand for intelligence is unlikely to saturate: nearly every industry benefits from faster analysis, better predictions, and more capable systems, and as models improve, new use cases continue to emerge. The result is a structural imbalance — demand for increasingly powerful AI will grow far faster than our ability to scale the infrastructure required to support it.
Historically, major technological shifts have created entirely new industrial ecosystems around the infrastructure required to support them. The rise of the internet, for instance, produced global telecommunications networks, cloud computing platforms, and hyperscale data centers. In a similar way, the rapid growth of artificial intelligence will give rise to new industries focused on supplying the physical and technical foundations of intelligent systems. Advances in energy generation and grid infrastructure, next-generation semiconductor architectures, high-bandwidth memory, optical networking, specialized data center design, and novel materials will become increasingly important as global demand for intelligence expands. We believe the companies capable of scaling these foundational inputs will play a central role in enabling the next era of technological progress, and that the industries supplying them may become some of the most valuable and strategically important sectors of the coming decades.
01
AI Agents
AI agents capable of reasoning across tasks and autonomously executing complex workflows will dramatically expand the productivity of individuals and organizations. These systems are increasingly able to write software, conduct research, coordinate operations, and interact with digital tools on behalf of users. As models improve and become more reliable, AI agents will evolve from simple assistants into autonomous collaborators capable of managing substantial portions of knowledge work, and orchestrating other AI agents to do the same. This shift will fundamentally reshape how companies operate, enabling smaller teams to accomplish what previously required large organizations.
Beyond the workplace, AI agents will quietly transform daily life. Imagine a parent who no longer spends evenings buried in school forms, insurance claims, and medical bills because an agent has handled all of it before they get home. Imagine an aging grandparent who can live independently for years longer, supported by an agent that monitors their health, coordinates with their doctors, and refills their prescriptions. Imagine a first-generation college student with the same kind of always-on tutor and advocate that wealthy families have always been able to hire. The cognitive overhead of modern life—the bureaucracy, the logistics, the constant low-grade administration—has long been an invisible tax that falls hardest on those with the least time and resources to pay it. AI agents are positioned to lift that tax for everyone.
The illustrations on this page were created with MidJourney, an AI art bot.
02
AI-Powered Science and R&D
Artificial intelligence will accelerate the pace of scientific discovery by dramatically reducing the time required to test ideas, analyze data, and design experiments. AI-assisted research tools will help scientists discover new materials, design drug candidates, simulate complex physical systems, and generate hypotheses at speeds previously impossible.
The downstream consequences for human life are profound. In medicine, AI-driven discovery is accelerating the search for treatments for cancers, autoimmune diseases, and rare genetic conditions that have eluded researchers for decades. Diseases that today carry devastating diagnoses may, within a generation, become routinely treatable. In materials science, AI is enabling the discovery of new compounds for batteries, solar cells, carbon capture, and lighter and stronger structural materials. In agriculture, AI-designed crops and inputs may help feed a growing global population on less land and with less environmental impact. Across nearly every field of science, AI is collapsing the timeline between asking a question and getting an answer.
03
Robots & Automated Industry
As AI systems become more capable of perception, reasoning, and decision-making, they will increasingly move beyond the digital world and into the physical one. Many physical tasks that have historically been difficult to automate will become feasible as AI systems improve at navigating complex environments and adapting to real-world uncertainty.
In manufacturing and logistics, robots will take on the dull, dirty, and dangerous work that has long worn down human bodies. In construction, robotics combined with new fabrication techniques could meaningfully bring down the cost and timeline of building homes, infrastructure, and energy projects, helping address shortages that today drive housing and energy unaffordability. In agriculture, autonomous machines can tend crops with precision that reduces inputs while increasing yields. In elder care, assistive robotics may help address looming labor shortages while preserving dignity and independence for an aging global population. And in the home, general-purpose robots could eventually do for physical chores what computers did for information work, quietly absorbing the routine tasks that consume so much of our time.
In the long-term, we believe that AI-human integration and gene-editing enabled super capabilities will shatter our pre-existing biological limitations in even more dramatic ways.
04
Frontier Technologies
More capable AI systems will accelerate progress in scientific and technological domains that have historically advanced slowly due to the limits of human research capacity. By enabling researchers and engineers to explore far larger design spaces and test ideas more rapidly, AI will help unlock breakthroughs that were previously considered decades away.
In longevity science, AI-driven research into the underlying biology of aging may extend healthy lifespans, giving people more years of vitality with their families. In energy, AI-accelerated progress in nuclear fusion, advanced fission, geothermal, and grid-scale storage could finally deliver abundant clean power, a precondition for nearly every other form of progress. In computing, AI is helping to design the next generations of chips and explore entirely new substrates, including neuromorphic and quantum architectures. In climate technology, AI is improving everything from atmospheric modeling to direct air capture to the design of more efficient industrial processes. And in space, AI-assisted design and autonomy are bringing down the cost of launch and exploration, opening the door to a meaningful human presence beyond Earth.
The Case for Building
Technological progress is rarely linear and often invites skepticism, especially as new capabilities reshape industries, institutions, and daily life. While high-profile failures and missteps draw outsized attention, the broader arc of innovation has consistently expanded access to knowledge, mobility, health, and economic opportunity. Venture-backed companies have played a central role in advancing transformative technologies, from reusable launch systems and genome sequencing to conversational AI and electric transportation. These advances are not inevitable; they depend on founders willing to take responsibility for building through uncertainty, scrutiny, and long time horizons. We believe the next era of progress will require founders who pair ambition with discipline, move quickly without ignoring consequences, and continue building even when the path forward is contested.
The founders we back
The future will be built by founders from many backgrounds, but the responsibility of leading a venture-backed company is not for everyone. Our observations suggest that only a small fraction of the population has the traits necessary to succeed in such a position. Given the high expectations of growth for venture-backed companies, exceptional leadership ability, work ethic, and clarity under pressure are table stakes for successful founders.
Because venture outcomes follow a power-law distribution, the founders who build category-defining companies typically combine exceptional execution with a rare edge. In earlier technological eras, a founder's advantage often came from deep technical specialization in a particular field. While technical expertise remains important, the current environment increasingly rewards founders guided by a clear vision of what they are building toward and a mission durable enough to withstand shifting conditions. The pace of change in artificial intelligence and related technologies means that assumptions, tools, and market conditions can shift rapidly — and the founders who endure are those whose conviction in where they are going outlasts the volatility of how they get there.
Such an outlier trait can rarely be cultivated opportunistically — by the time the value of a specific trait becomes obvious, an oversaturation of competitors possessing that same trait usually emerges.
We look for founders who combine strong execution with sound judgment, who can move decisively while remaining flexible enough to adapt as new information emerges. Underlying all of this is a relentless determination to keep building through difficulty, setbacks, and the long stretches when progress is hard to see. The ability to repeatedly re-found a company as conditions change is often a defining characteristic of the teams that ultimately build category-defining companies.
How we support founders
Capital alone is no longer a differentiator. From the beginning, we built HOF to be a firm that helps founders accelerate outcomes, not just fund them. Our primary edge is our ability to unlock meaningful partnerships that materially change a company’s trajectory, whether through customers, distribution, strategic relationships, or long-term collaborators.
In service to this mission, we have assembled an expansive base of more than 200 incentive-aligned limited partners, including Fortune 100 enterprises, institutions, and operators—many of whom lead or control large organizations across technology, finance, healthcare, manufacturing, and logistics. This unique network enables us to act as an extension of our founders’ business development efforts, shortening sales cycles, opening doors that are otherwise difficult to access, and enabling early validation at scale.
As companies grow, we continue to support founders with strategic guidance, hands-on assistance whenever helpful, and follow-on capital through the entire lifecycle of their journeys. We are deliberate about showing up most fully during the hardest stretches—the pivots, downturns, and inflection points where founders need partners, not spectators—and our network is built to help them navigate these moments alongside the obvious ones.
Visit our partners page for more information on how we leverage that network to support portfolio companies.
Conclusion
Periods of rapid technological change are often accompanied by uncertainty, volatility, and competing narratives about what the future may hold. Despite this, history consistently shows that long-term, net-positive progress is driven by builders who are willing to pursue ambitious ideas and translate new capabilities into real-world impact.
We believe artificial intelligence represents one of the most significant accelerators of technological progress in human history. As increasingly capable systems help expand the pace of discovery, engineering, and innovation, the opportunities to create new industries and improve quality of life at global scale will continue to grow. At the same time, scaling the infrastructure and technologies required to support this progress will remain one of the defining challenges of the coming decades.
Our focus is on partnering with the founders building the most consequential companies of this era, the ones whose work will help steer this transition toward the broadest possible benefit for humanity. By combining capital with access to a global network of operators, enterprises, and collaborators, we aim to help accelerate the companies that will define this next phase of technological progress.
We believe the pursuit of technological progress remains one of the most powerful forces for expanding human opportunity and prosperity. Supporting the builders driving that progress will remain at the center of our work.