Идеи
Financing partners win from GPU-backed lending.
Josh argues the assembled Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR can lend against transferable NVIDIA GPUs, collect high rates, and rely on NVIDIA's depreciation insurance/backstop; if borrowers fail, GPUs can be clawed back and redeployed. He calls the deal a huge win for the banks/asset managers.
NVIDIA GPU supply tight and financing tailwind.
NVIDIA has a monopolistic, versatile GPU platform that even custom chips from Google, Meta, OpenAI, or Anthropic cannot match. The $500B GPU-financing deal turns GPUs into an asset class: NVIDIA provides depreciation protection/backstops up to 25% of opportunities, can take revenue splits from AI labs, and sees 2020-era A100s re-signed into 2029 at higher prices. Supply is sold out into 2027/2028 while AI demand compounds faster, so Ejaaz says he struggles to see a world where AI does not need NVIDIA GPUs and calls NVIDIA very bullish.
CoreWeave revenue surge shows GPU demand.
CoreWeave reported a 464% YoY revenue increase and signed an A100 contract extending to 2029, despite the 2020 GPU originally being expected to last 3.5 years. This shows versatile NVIDIA GPU demand and re-signing at higher prices; as a neocloud, CoreWeave is positioned to benefit from NVIDIA financing/revenue-sharing structures.
AI semiconductor supply remains constrained years.
Physical semiconductor supply cannot match AI GPU demand. Top memory manufacturers can expand capacity roughly 20% per year, while demand is compounding 45-60% per year, implying a constrained semiconductor supply chain until at least 2028/2029. That tight supply underpins pricing and supports the AI semiconductor complex.
TSMC wafer capacity constrains GPU supply.
Ejaaz names TSMC and wafer capacity as one of the hard limits on how quickly NVIDIA GPUs can be produced, which counters fears that new NVIDIA releases will flood the market and supports foundry pricing/volume tailwinds.
Watch Google capex return on AI.
Josh says the most important risk to monitor is hyperscaler return on invested capital. Using Google's earnings as the visible gauge, if AI spend stops generating revenue on schedule and margins shrink, hyperscalers will cut capex; if returns hold, the cycle remains fine. This makes Google a key signal for the AI infrastructure trade.
This Bankless video, published August 13, 2026,
features Josh Kale, Ejaaz Ahamadeen
discussing APO, BLK, GS, BX, KKR, BEP, NVDA, CoreWeave, SMH, TSM, GOOG.
6 trade ideas extracted by AI with direction and confidence scoring.
Speakers:
Josh Kale,
Ejaaz Ahamadeen
· Tickers:
APO,
BLK,
GS,
BX,
KKR,
BEP,
NVDA,
CoreWeave,
SMH,
TSM,
GOOG