AI algorithms drive short-term market inefficiencies
The speaker argued that artificial intelligence and algorithmic trading create short-term market volatility and mispricings by reacting to backward-looking data without contextual understanding.
The argument
Using a recent Tidewater earnings release as an example, the speaker noted the stock swung wildly due to automated systems analyzing historical metrics rather than forward-looking prospects. He argued that data and information are no substitute for genuine thinking, especially during structural shifts.
The thesis, stress-tested
✓ What validates it
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▸ Risks discussed
- ▸Increased short-term volatility and price dislocation from fundamental value
Hear it yourself
"I see plenty of applications in Tidewater's business for us to do things with artificial intelligence because there's a lot of data and information, to analyze that data and information, to understand what do we do in terms of prevent maintenance on the equipment, the effectiveness of the equipment, the cargos we move, the efficiencies,…"
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