Business & Finance · October 16, 2026
Wall Street Trading Desks Get Undermined
Business Insider reports on a growing trend where AI companies are seeking out workplace data—including internal communications, transaction records, and legal archives—to better train models for automating professional tasks. This demand is revitalizing the 'alternative data' market, a sector previously focused on providing unique datasets like satellite imagery to hedge funds. While alt-data providers once struggled to scale by selling to corporations, the specific needs of AI developers for deep, unstructured catalogs offer a new potential market, though challenges regarding data quality and accessibility remain.
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Wall Street Trading Desks Get Undermined
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Reported by multiple outlets
- AI companies are actively seeking internal workplace data, such as Slack DMs, memos, and contracts, to train models.
- The alternative data market, which includes non-traditional datasets like satellite imagery and credit card transactions, gained prominence in the mid-2010s.
- Former Point72 executive Kirk McKeown launched a data startup aimed at packaging data specifically for AI models.
- Alt-data providers have historically faced difficulties in scaling their products while maintaining high data quality.
Reported by only some outlets
- Robotics companies are paying people to record everyday tasks like cooking and cleaning to generate training data.
Industry-friendly coverage frames it as…
The coverage highlights how AI's need for data acts as a catalyst for growth in the alternative data sector, presenting it as a solution to previous scaling issues faced by data providers.
Skeptical / consumer coverage frames it as…
The article mentions 'growing pains' such as difficulty maintaining data quality and the risk that firms might simply use their own internal data rather than buying from providers.
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