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The Future of Generative AI: An Analysis of the Leaders, Opportunities, and Threats

The likes of ChatGPT, Stable Diffusion, Dall-E, and Midjourney have awakened the business world to generative AI (genAI). While startups race to build disruptive products and excite investors, incumbents seek to acquire and deploy the right genAI systems to push their business forward.

Goldman Sachs predicts this technology could boost annual global GDP by 7% over the next 10 years. To capitalize on today’s whirlwind of activity—and not fall behind your peers—you must evolve into a genAI strategy owned by the C-suite.

In this report, we take a deep dive into the generative AI market from the perspective of analysts, executives, experts, and journalists so you can quickly get smart on this evolving technology. Download the report now to uncover:

  • The current market size of generative AI and growth forecasts for the next 5-10 years.
  • The key areas of business that will be most heavily and immediately impacted by genAI.
  • The companies leading this AI transformation and the industries most likely to drive adoption.
  • The risks and areas of opportunity of the fast-growing market that investors and business leaders should watch closely.

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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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