Keep pulling the thread on Kelly Granat.
The rise of multi-manager "pod" shops has made predicting stock reactions to earnings a "coin toss," where positioning and whisper numbers are more influential than the fundamental results.
Over the last six to eight years, Lone Pine Capital has reduced its gross exposure from approximately 170% by 200% to around 150% by 180% to maintain flexibility for market dislocations.
Lone Pine Capital believes that most of the value from AI will ultimately be created at the application layer, not by the large language models themselves.
Lone Pine Capital holds a large position in Meta, viewing it as the most prominent real-life example of commercializing AI capabilities at scale within core products.
The primary constraint in the AI ecosystem is shifting from semiconductors to electrical power.
In the current economic environment with a real cost of capital, there is a growing divergence between winners and losers in many industries, citing examples like Boeing vs. Airbus, Uber vs. Lyft, and DoorDash vs. its competitors.
Lone Pine Capital's worst performance period, excluding the 2008 crisis, occurred in late 2021 and early 2022 because the firm failed to pivot quickly enough out of high-growth stocks as the Federal Reserve began an aggressive hiking cycle.
AlphaSense's market intelligence platform is trusted by 75% of the world's top hedge funds and 85% of the S&P 100.
Following its acquisition of Tegas, AlphaSense now holds a library of over 150,000 expert transcripts from 24,000 public and private companies.
Investment management operating system Ridgeline has approximately $350 billion committed to its platform.
Ridgeline experienced a 60% increase in customers since October and has 100% of its users opted into its AI capabilities.
The marginal dollar of trading volume is now dictated more by firms like Citadel, multi-manager pods, and passive funds, rather than by long-term fundamental investors like Fidelity or Capital Group.