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The Future of Generative AI in Business

The future of artificial intelligence (AI) is now.

No longer is AI and its various iterations sequestered to “high-tech” use cases, but instead, it’s being implemented into day-to-day business operations and decision-making. And while the excitement around generative AI (genAI) is rightly palpable amongst C-Suite executives, a number of important questions remain unanswered.

Which industries are ripe for disruption? What are the risks and unknowns of leaning on genAI for information? What societal behavior changes can be expected?

To gain answers to these pressing questions, we spoke with Eric Schmidt, Co-Founder of Schmidt Futures and Former CEO & Chairman of Google, and David Solomon, Chairman and CEO of Goldman Sachs. Learn what we can expect to see unfold with the rapid growth and implications of genAI in this informative Q&A.

The information contained in this podcast does not constitute a recommendation from any Goldman Sachs entity to the recipient, and Goldman Sachs is not providing any financial, economic, legal, investment, accounting, or tax advice through this podcast or to its recipients.

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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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