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AI Infrastructure · Post-training inference demand will be 5-10x larger than pre-training compute
now playing · AI Infrastructure
AI Infrastructuretailwindscore 9/10gavin baker
Post-training inference demand will be 5-10x larger than pre-training compute
The AI compute stack is shifting from pre-training to post-training (fine-tuning, reasoning, agentic workflows), which requires dramatically more inference compute; this structural shift dr…
AI Bubble / Capex Debatetailwindscore 9/10gavin baker
Supply constraints (TSMC, ASML, energy) prevent oversupply and keep AI CapEx cash-funded
Unlike the debt-fueled dot-com bubble, current AI CapEx is funded from hyperscaler free cash flow; hard physical bottlenecks in chip fabrication, packaging, and power prevent oversupply, ma…
AI Infrastructuretailwindscore 9/10gavin baker
Watts and wafers are the two brick walls limiting AI acceleration
The fundamental constraints on AI growth are electricity (watts) and leading-edge chip fabrication (wafers); so long as demand exceeds supply for both, infrastructure providers will capture…
Sovereign AItailwindscore 8/10gavin baker
Speed of physical deployment is the new moat in AI infrastructure
Bits move exponentially faster than atoms; the ability to permit, power, and build data centers in weeks rather than years is a defensible advantage — companies that compress deployment tim…
AI Hardware & Chip Architecturetailwindscore 8/10gavin baker
Tokens per watt becomes the decisive metric for AI lab procurement
As hyperscalers spend billions on compute, cost efficiency (performance per watt) determines which chips win; labs will switch to cheaper inference even at slightly lower intelligence, maki…
Space-Based Computetailwindscore 8/10gavin baker
Space-based data centers bypass terrestrial grid and permitting constraints
Terrestrial grids are at capacity and face 40% petition rates against new data centers; orbital compute via Starship offers unlimited solar energy and cooling, making space the next infrast…
Semiconductorstailwindscore 8/10ejaaz
ASML's EUV monopoly and 5-year backlog enforce a hard ceiling on chip supply growth
ASML is the single choke point for leading-edge semiconductor manufacturing; its inability to scale EUV output quickly means no amount of capital can rapidly increase chip supply, protectin…
Memory & Storagetailwindscore 8/10ejaaz
HBM scarcity gives SK Hynix unprecedented 70% margins and pricing power
High-bandwidth memory is the tightest sub-sector in AI hardware; SK Hynix allocates supply by price not volume, extracting monopoly rents and signaling a multi-year structural shortage that…
AI Geopolitics & Export Controlstailwindscore 7/10gavin baker
China's energy abundance and manufacturing scale favor inference-focused chip architectures
China has surplus energy and domestic fab capacity, enabling a different AI infrastructure buildout optimized for inference rather than pre-training; this creates a parallel supply chain an…
AI Infrastructuretailwindscore 7/10gavin baker
Verticalized SLMs on device solve enterprise privacy and compliance barriers
Enterprises cannot send sensitive data (medical, financial) to cloud models; small language models running locally on devices (enabled by Apple silicon) unlock AI adoption in regulated vert…