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The Future of AI: A Midyear Review of Leaders, Opportunities, and Threats

By Sarah Hoffman, Director of AI Thought Leadership

In the first half of 2025, the generative AI landscape has undergone significant transformation. While established players strengthened their positions, new entrants also disrupted the status quo. As models grow more capable and infrastructure investments surge, organizations are beginning to separate hype from measurable business impact.

At the same time, new genAI use cases are emerging across industries.

In this report, discover:

  • The major model advancements and competitive shifts of the AI landscape in 2025
  • The emerging capabilities, from hybrid reasoning to agentic AI, expanding what AI models can support across industries
  • The strategic infrastructure bets and high-profile acquisitions accelerating the development of AI
  • The workforce shifts already underway and what the future of work will look like in an AI-driven environment
  • The rising risks that organizations must navigate to scale responsibly
About the Author

  • Sarah Hoffman, Director of AI Thought Leadership

    Sarah Hoffman is Director of AI Thought Leadership at AlphaSense, where she explores artificial intelligence trends that will matter most to AlphaSense’s customers. Previously, Sarah was Vice President of AI and ML Research for Fidelity Investments, led FactSet’s ML and Language Technology team and worked as an Information Technology Analyst at Lehman Brothers. With a career spanning two decades in AI, ML, natural language processing, and other technologies, Sarah’s expertise has been featured in The Wall Street Journal, CNBC, VentureBeat, and on Bloomberg TV. Sarah holds a master's degree from Columbia University in computer science with a focus on natural language processing, and a B.B.A. from Baruch College in computer information systems. Sarah is based in New York.

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

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

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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.
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