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The Future of Primary Research: An Evolution of AI-Driven Expert Insights

By Barbara Tague, Financial Research Leader

Qualitative research has undergone a fundamental transformation over the course of the last three decades, with commoditization and AI-driven enhancements as underlying agents of change. Expert insights have evolved from network-based knowledge to AI-driven intelligence at scale.

In this report, we explore the evolution of expert research as AI-driven enhancements streamline inefficiencies and bottlenecks, creating asynchronous workflows. As access proliferates and AI enables faster synthesis, it is increasingly essential for investment teams to harness complete ecosystems to drive high-stakes decisions with conviction.

About the Author
  • Barbara Tague, Financial Research Leader

    Barb is a Financial Research Leader covering the financial services segment at AlphaSense. Previously, she spent more than a decade at institutional investment managers and at a SaaS startup leading business development, content, and product initiatives.

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EMEA Outlook 2026: Navigating Inflation, Manufacturing Shifts and AI Adoption

The extent to which EMEA economies can tame inflation, manage weakness in the auto sector, and harness AI for growth will be key to their economic prosperity in the months to come. In this report, we explore how these themes will impact EMEA in the second half of 2026.
Report cover for 'EMEA Outlook 2026: Navigating Inflation, Manufacturing Shifts and AI Adoption' by Shelly Hagan, featuring a globe and an upward trend arrow.

Top AI Use Cases for Life Sciences Market Intelligence

Across life sciences functions, platforms like AlphaSense are streamlining the entire decision cycle. This report covers the top AI use cases that have transformed how the industry’s leading teams reach defensible answers.
Top AI Use Cases for Life Sciences Market Intelligence, with illustrations of a DNA helix, bar chart, and building on a blue grid.

Mid-Year AI Checkpoint: The Shift from Wow to Work

The first half of 2026 marked a turning point for AI. The focus shifted away from breakthrough demos to the harder questions of deployment, integration, and real-world impact. As AI became more deeply embedded in products, workflows, and business operations, organizations faced new questions around measurement, governance, workforce impact, trust, and control.
Mid-Year AI Checkpoint: The Shift from Wow to Work, by Sarah Hoffman. A graphic with a timeline, a sparkling marker, and an AIAIAI logo.

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