Turning Insight Into Action
A conversation exploring what distinguishes the 5Perspectives team's investment philosophy and the major themes influencing their long-term market outlook.
Key takeaways
The scale is unprecedented
AI spending from hyperscalers is forecast to approach $1 trillion annually, with roughly half flowing into the physical economy.
SMID companies are cashing the checks
Small and mid-cap suppliers of power, switchgear, cooling, and construction benefit with greater equity sensitivity.
Early in the adoption curve
Binding constraints are increasingly physical and local — power, grid interconnection, skilled labor, and electrical/thermal systems.
Lower AI costs drive more demand
$1B of incremental AI revenue may be negligible for mega-caps, but potentially transformational for SMID companies.
“U.S. small cap investing is the most innovative, the most dynamic universe available in the capital markets around the globe … we think that the pace of innovation is actually accelerating now, largely as a function of this AI phenomenon.”
Topics discussed
The AI capex arms race
How hyperscalers shifted from capital-light digital scale to capital-intensive infrastructure builders.
Navigating market volatility
How the team applied its three-discipline process to navigate the mid-year correction.
Electrification and power
Nuclear energy, aeroderivative turbines, switchgear, and fuel cells as data centers create unprecedented demand.
The agentic economy
AI agents creating new demand patterns as AI-native startups and agent deployments drive usage.
Open vs. closed models
Open models lead to more usage, more tokens, and potentially more compute — not less.
The case for SMID equities
SMID ETFs at their lowest percentage of total equity ETF assets in 25 years. Compelling setup for active managers.
Questions from the webinar
Could regulation or competition derail AI infrastructure growth?
In Drew's view, it is difficult to envision a regulatory framework that would fundamentally undercut demand for AI capability, though regulatory outcomes remain inherently uncertain.
How do you value small-cap companies that aren't yet profitable?
The team evaluates competitive advantage relative to the market opportunity, then models the likely revenue trajectory and future profitability. Revenue multiples and franchise value assessments supplement traditional PE analysis.
What opportunities exist beyond AI?
The team finds opportunities in space, military technology, transportation, and individual company stories unrelated to AI — innovation and opportunity extend well beyond technology.
How does the open vs. closed model debate affect AI infrastructure demand?
Users will increasingly move toward mixed usage of frontier and open models. Lower cost per unit of intelligence drives dramatically more usage. Even open model tokens require the same compute infrastructure.
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