Generative artificial intelligence is yet to take a firm hold within investment research workflows, with more than half of quant-team professionals interviewed in a Bloomberg survey saying that had yet to implement the technology.
The study of 150 quant leaders found that machine learning is well established but 54 per cent hadn’t yet adopted GenAI. The authors said this was probably because of a lack of data readiness rather than a low appetite for the technology.
Notably, a large majority – 71 per cent – are focusing their AI capabilities on acquiring sector and industry-specific data, such as company key performance indicators. The report said this aligns with findings in the survey that quant teams are most commonly using AI for stock selection, content précis and thematic analysis.
Angana Jacob, Global Head of Research Data, Bloomberg Enterprise Data, said: “The survey points to a pivotal shift in investment research: progress with AI is increasingly shaped by data readiness rather than experimentation alone.
“Firms are prioritising sector-specific datasets for deeper company and industry context, alongside tick data and measures of investor expectations that capture how markets behave. Together, this reflects a move toward more context-rich inputs for alpha generation.”
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