AlphaSense’s Chris Ackerson on AI, Wall Street & the Future of Finance
Chris Ackerson, SVP of Product at AlphaSense, joins David Weisburd to discuss the transformation of financial research and investment banking through AI. They explore why vertical AI systems outperform general foundation models in high-stakes finance, how autonomous AI agents conduct expert channel checks, and why proprietary data and continuous self-disruption are crucial competitive moats.
- A major investment bank tested AlphaSense across its analyst pool following a business divestiture, documenting a 15% increase in average coverage efficiency over several months of testing. Read →
- Software teams that built heavy wrapper code around foundation models in 2023 are actively deleting it as baseline model capabilities advance. Read →
- AlphaSense is deploying Super Analyst to operate headless inside Excel, PowerPoint, and chat, moving past standalone prompt windows. Read →
- AI models are diverging rather than commoditizing because the majority of enterprise GPU budgets now go toward custom post-training rather than foundation pre-training. Read →
- AlphaSense built an autonomous AI agent to conduct channel checks and expert interviews, matching or exceeding the performance of top buy-side analysts. Read →
- General foundation models post a 5% to 9% error rate on market data tasks, making raw frontier models unacceptable for institutional finance. Read →