Earnings season can be like finals for asset managers. Tons of reading, late nights, and extra stress – but instead of once a year, it’s four times. And the season can stretch over almost a full month. Quarterly reports can have upwards of 40,000 to 50,000 words each – multiplied by 500 per quarter in the S&P 500, that’s 20 million words, which is like reading for 50 days straight, without breaks. So analysts are either skimming, missing critical information, or having an “all hands on deck” situation for earnings season where critical insights can get lost in a silo.
Artificial intelligence is helping portfolio managers by synthesizing this sea of data and giving digestible insights to look more deeply. But beyond simple reading and providing an output, agentic AI is doing more by giving managers proactive insights into earnings season like what macro trends might emerge and what they need to be on the lookout for in the upcoming season.
Join one of Boosted.ai’s Product Managing Directors, Alexander Kolb, CFA, to learn more about how asset managers are creating AI agents to work for them and save them tons of time during earnings season – freeing them for more high level tasks, whether that’s taking clients to a game or more analysis or more time at home, the decision is with them.
You’ll learn:
– A background on agentic AI
– The real life benefits asset managers are seeing using AI during earnings season
– Beyond summaries – the value agentic AI is unlocking with macro insights
– A brief product demo
