AlphaSense and Wall Street Productivity: The 15% Analyst Lift
AlphaSense SVP Chris Ackerson explains how automated research drove a 15% coverage increase at a major bank and shifts analyst workflows.
AlphaSense’s Chris Ackerson on AI, Wall Street & the Future of Finance
With David Weisburd, Chris Ackerson · Sunday, September 27, 2026
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.
Key takeaways
- 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 more →
- Software teams that built heavy wrapper code around foundation models in 2023 are actively deleting it as baseline model capabilities advance. Read more →
- AlphaSense is deploying Super Analyst to operate headless inside Excel, PowerPoint, and chat, moving past standalone prompt windows. Read more →
- 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 more →
- AlphaSense built an autonomous AI agent to conduct channel checks and expert interviews, matching or exceeding the performance of top buy-side analysts. Read more →
- General foundation models post a 5% to 9% error rate on market data tasks, making raw frontier models unacceptable for institutional finance. Read more →
6 articles from this episode
Delete the Scaffolding: AlphaSense on AI Technical Debt
AlphaSense SVP Chris Ackerson explains why enterprise AI moats disappear when foundation models improve and why teams must delete software scaffolding.
Why Autonomous Agents Are Making Financial Software Headless
AlphaSense's Chris Ackerson explains why investment software is moving to headless agents via MCP and where human judgment still drives alpha.
Why Frontier LLMs Fail at Financial Search
AlphaSense's Chris Ackerson explains how custom post-training and low-latency hardware cut financial research costs by 40x.
AlphaSense's AI Expert Calls Beat Buy-Side Analysts
AlphaSense built an AI interviewer that matches top buy-side analysts on expert calls by tapping a proprietary library of 300,000 transcripts.
Why Frontier LLMs Fail in Finance and How Vertical AI Wins
Chris Ackerson explains why general LLMs produce 5-9% error rates in financial research and how vertical data architecture delivers 3x higher accuracy.
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