๐ฆ "CHEAPER AI = BIGGER DEMAND": MORGAN STANLEY BACKS
$NVDA 'S THRONE ๐ฅ
Wall Street's brain trust just flipped the bearish script on AI costs. Morgan Stanley argues open-weight models like Kimi K3, Qwen, and Llama won't weaken industry leaders โ they'll supercharge adoption by slashing prices.
The kicker? The Jevons Paradox. Every jump in efficiency historically fuels more consumption, not less โ steam engines, chips, now AI. Cheaper models mean wider enterprise integration, and 63% of companies already run both open and closed architectures. ๐
NVIDIA sits at the intersection of every path forward. Whether open-weight or closed-source eventually dominates, the demand for AI compute keeps climbing. And when institutional giants anchor on a thesis this deep, the ripple tends to reach crypto's AI sector as well. ๐
๐ฌ Which side takes the crown long-term โ open-weight pragmatism or closed-source polish? Drop your take below. ๐
โ ๏ธ Not financial advice. Always manage your risk. ๐ก๏ธ
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#NVDA #AI #JevonsParadox #InstitutionalFlow #CryptoAI ๐ฆ ๐