Skip to content
Resources > Reports

Enterprise Software: Assessing AI Adoption Trends

By Michelle Brophy, Director of Research, Tech, Media and Telecom and Sean Carmichael

Generative AI is moving from isolated pilots to full-scale deployments, with adoption accelerating in areas like software development and IT service management. However, broad access to genAI tools hasn’t translated into consistent engagement. Most firms still lack the training, governance, and integration needed to realize full ROI.

This report examines where genAI is driving real, positive business outcomes and what separates successful enterprise-scale efforts from those that stall. Challenges like data security, accuracy, and scaling costs persist. The firms overcoming these challenges are those with structured data and repeatable workflows, which enable fast, measurable impact.

About the Authors
  • Michelle Brophy

    Michelle Brophy, Director of Research, Tech, Media and Telecom

    Michelle Brophy serves as the Director of Research, Tech, Media and Telecom at AlphaSense. Prior to joining AlphaSense, Michelle spent 3 years as the Strategist for TMT at Guidepoint Insights. Prior to this, Michelle spent 18 years on the buy side, in both portfolio manager and senior equity analyst roles, at Hilltop Park Capital and Kingdon Capital Management. Michelle resides in New York City.
  • Sean Carmichael

    Sean Carmichael

    Sean is a Senior Business & Finance Editor at AlphaSense, specializing in sector-specific content production. Previously, he spent nearly a decade in various roles across financial services, where he was responsible for equity research and content generation geared toward institutional investors.

Explore more

Security, Privacy & Trust in the Age of AI

In this report, discover the foundational questions and principles that firms should be requiring of AI providers as they prioritize scaling trustworthy AI infrastructure.

Top AI Use Cases for Investor Relations

The AI era has ushered in a new reality for investor relations. Discover how the leading IR teams are harnessing AI to unify peer tracking, sentiment analysis, and real-time market monitoring into a single intelligence layer.
Title: Top AI Use Cases for Investor Relations. Blue isometric illustration shows a shield with a checkmark, binoculars, and a filing cabinet.

Top AI Use Cases for Venture Capital Firms

In this report, discover how venture capital teams are leveraging AI for decision-grade intelligence that distills signal from noise in a crowded environment.
A blue graphic titled "Top AI Use Cases for Venture Capital Firms" featuring an upward trending arrow, a stack of money, and a globe.

Transform intelligence
into advantage

Develop bold strategies, seize opportunities,
and lead with clarity and confidence.