Capability frontier
Better hardware
Models demand more bandwidth, lower latency, higher density, larger coherent clusters, and cooling architectures built for rack-scale compute.
Directional Holdings
The demand for intelligence has no natural ceiling.
Better models create more use cases. More use creates more hardware demand. More hardware investment enables better models. Directional studies the second-, third-, and fourth-order effects of that loop.
AI usage compounds
01 Better models
02 More use cases
03 Higher usage
04 More hardware demand
05 More hardware investment
The forcing function
The flywheel demands hardware.
The loop does not merely create more software usage. It demands that the physical substrate keep accelerating: faster systems, larger clusters, denser packaging, more memory, better networks, more power, and more capacity than the market expected to build.
Capacity frontier
More hardware
Adoption demands raw volume: more memory, more accelerators, more networking gear, more data center capacity, and more electrical infrastructure.
Directional work
Find the narrow gates
Bottlenecks are not assumed. They are discovered where forced change runs through scarce capacity, irreplaceable equipment, or hard-won process knowledge.
Value migration
Infrastructure captures first. Applications follow.
The current AI trade is still bottom-heavy: hardware captures outsized value because it is the scarce base layer. A functioning technology market should eventually look like an inverted pyramid: hardware at the bottom, infrastructure above it, and the application layer becoming the largest value pool. Directional is built to follow that migration.
Current AI value capture
Applications
Infrastructure
Hardware
Mature cloud-like value stack
Applications
Infrastructure
Hardware
Directional filter
The philosophy is simple. The work is not.
Atoms over bits
When thought gets cheaper, action and physical constraints become more valuable.
Narrow gates
We look for scarce control points created by forced change, not broad thematic exposure.
AI only
The universe is limited to AI and its derivative effects across infrastructure and the economy.
Evidence updates the view
Strong conviction matters only if the thesis remains loose enough to absorb new facts.
From thesis to platform
A thesis scaled into an information platform.
Directional began as a concentrated AI infrastructure thesis that compounded from roughly $600k to more than $6M. The next phase is not a new mental model. It is scale: industry experts, technical advisors, sell-side work, specialized research, and the institutional knowledge required to keep asking the same question with better inputs. Where does rising AI usage force capital to move next?