But only 32% of strategy leaders report active genAI deployments at their organizations.

To identify pain points and success stories for genAI adoption, we surveyed 50 senior strategy leaders working at companies across major industries.

Download the full report to understand how leading strategy teams navigate genAI adoption, their key challenges, and the tactics separating successful implementations from stalled initiatives.

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Insurance leaders are looking to emerging AI capabilities to reshape how they work. For instance, on AIG’s August 2024 earnings call, chairman and CEO Peter Zaffino highlighted an objective to use AI to “redesign and refine the end-to-end underwriting workflow.”

The industry’s opportunity in generative AI centers on increasing decision-making capabilities and operational speed, from improving quote-to-bind ratio to offering real-time guidance for employees. Two forces drive the opportunity: tech advances across the broader genAI ecosystem; and a wealth of unstructured data within the insurance industry.

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The space is already seeing a steady stream of M&A activity, as established players seek to quickly acquire novel capabilities and fill in gaps in their AI talent.

But amid the frenzy, which specific genAI markets are most primed for exits — and what should corporate strategy and M&A teams be doing about it?

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While the tech has been in development for years, it was the launch of OpenAI’s ChatGPT that suddenly brought generative AI — artificial intelligence that generates new content (text, code, images, audio, etc.) — to the masses.

Corporate attention to generative AI has since skyrocketed, with big tech and incumbents scrambling to harness its potential to improve productivity, scale automation efforts, and accelerate digital transformation. Many fear that failing to adapt will mean being outcompeted by the companies that do.

Meanwhile, hundreds of generative AI startups have emerged, followed by billions of dollars in investment. Investors are keen to ride the wave as startups take aim at disrupting entire industries.

In this report, we use CB Insights datasets — including tech company financings, valuations, revenues, business relationships, public earnings calls, and customer perspectives — to help you understand what’s going on in the market and the players and trends to watch.

The 122-page report covers:

• The generative AI boom a decade in the making
• The current genAI landscape and the players competing in each market
• The latest moves from big tech firms like Microsoft, Google, Nvidia, Meta, and Apple
• The race to dominate genAI infrastructure, plus the latest on closed vs. open-source development
• GenAI opportunities for healthcare, financial services, and retail
• The 50 most promising generative AI startups to watch
• The emerging trends that will shape the future of generative AI

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