Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

AutoPR: Let’s Automate Your Academic Promotion! – Takara TLDR

Kitsa transforms clinical trial site selection with Amazon Quick Automate

It’s no surprise MIT’s Sally Kornbluth is the first to flatly reject Trump’s deal

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • OpenAI (GPT-4 / GPT-4o)
    • Anthropic (Claude 3)
    • Google DeepMind (Gemini)
    • Meta (LLaMA)
    • Cohere (Command R)
    • Amazon (Titan)
    • IBM (Watsonx)
    • Inflection AI (Pi)
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • AI Experts
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • The TechLead
    • Matt Wolfe AI
    • Andrew Ng
    • OpenAI
    • Expert Blogs
      • François Chollet
      • Gary Marcus
      • IBM
      • Jack Clark
      • Jeremy Howard
      • Melanie Mitchell
      • Andrew Ng
      • Andrej Karpathy
      • Sebastian Ruder
      • Rachel Thomas
      • IBM
  • AI Tools
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
  • AI Policy
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
  • Business AI
    • Advanced AI News Features
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
CBInsights AI

Insurance’s new frontier: 3 innovation imperatives for 2025 and beyond

By Advanced AI EditorMay 21, 2025No Comments3 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


We use CB Insights data and on-the-ground analysis from the InsurTech NY Spring Conference to provide innovation imperatives for insurance executives.

The bar for insurance innovation is getting higher.

GenAI adoption is changing how insurance companies operate, incumbents are meeting new competitors, and startups face a more selective dealmaking environment focused on profitability.

Industry leaders echo this reality: commentary from the InsurTech NY 2025 Spring Conference emphasized an increasingly fast-paced — and fast-changing — insurance industry.

Below, we highlight 3 innovation imperatives for insurance leaders in 2025 and beyond. We base these on CB Insights’ datasets like Business Relationships, Instant Insights, and Public Company Financials, along with executive commentary from panel presentations at the InsurTech NY 2025 Spring Conference.

Here are the 3 imperatives:

GenAI adoption is becoming table stakes for insurance companies.
Strategic customer touchpoints are the new competitive frontier.
Profitability is now the insurtech survival factor.

1. GenAI adoption is becoming table stakes for insurance companies

Insurance companies are no longer just discussing using genAI to build their future — they’re actively pursuing it.

GenAI is enabling insurance leaders to build — rather than exclusively buy — future operating systems, as Tokio Marine North America EVP and CIO Robert Pick noted on an InsurTech NY 2025 panel titled “The New AI Tech Stack.”

Insurance companies that do not invest in genAI capabilities risk losing a competitive advantage. Industry leaders from AIG to Marsh McLennan have invested in such capabilities for years, with Marsh McLennan CEO John Doyle mentioning the company’s internal generative AI platform (“LenAI”) as early as its Q3’23 earnings call.

Human talent will distinguish future genAI-powered operating environments. For example, insurtech managing general underwriter Counterpart — one of 2024’s Insurtech 50 winners — prioritizes a hiring strategy focused on aggressive AI integration across core operations. Counterpart CEO Tanner Hackett mentioned the need for “human-in-the-loop” genAI operations on a panel at the conference.

Tech vendors are betting on specialized talent to build genAI products to sell to insurance companies. For instance, AI underwriting platform Federato has a hiring approach that prioritizes genAI-focused talent and product development. The company has more than doubled its headcount over the past year and raised $40M in a November 2024 Series C round.

CBI iconExplore Federato’s Hiring Insights

At the conference, Will Ross, Federato’s CEO and co-founder, pointed to the industry’s widespread genAI adoption by highlighting the rapid development of concepts such as foundation models, agentic workflows, and the model context protocol (MCP), an Anthropic-developed standard for AI agents and copilots to connect to data systems.

As major tech companies adopt the MCP, it’s driving widespread interest in the standard and triggering the emergence of new startups like Smithery, a registry of MCP servers founded in 2025. Dnotitia, a winner of CB Insights’ 2025 AI 100, also recently launched an MCP-based vector database.

Skyward Specialty Insurance Chief Information and Technology Officer Daniel Bodnar highlighted MCP on a conference panel, further signaling the standard’s role in genAI interoperability.

Looking forward, insurance executives should expect the MCP to accelerate genAI-powered insurance operations as the standard enables greater interoperability between data sources and agentic applications.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleAt Google I/O, Sergey Brin makes surprise appearance — and declares Google will build the first AGI
Next Article Trump crypto czar Sacks stablecoin bill unlock trillions for Treasury
Advanced AI Editor
  • Website

Related Posts

Dual AI engines: LLMs and optimizers sweep September mega-round funding

October 7, 2025

AI Agent Bible: The ultimate guide to agent disruption

October 3, 2025

The military-startup complex: How Silicon Valley is reshaping the defense industry

October 2, 2025
Leave A Reply

Latest Posts

Artist Behind Canterbury Cathedral Art Responds to JD Vance, Elon Musk

Jenkins Johnson Gallery to Open Tribeca Outpost on Marian Goodman Gallery’s Third Floor

Ruth Asawa May Have Broken Record at MoMA—and More Art News

Toledo Museum of Art Director on Digital Art, AI, and Future-Proofing

Latest Posts

AutoPR: Let’s Automate Your Academic Promotion! – Takara TLDR

October 13, 2025

Kitsa transforms clinical trial site selection with Amazon Quick Automate

October 13, 2025

It’s no surprise MIT’s Sally Kornbluth is the first to flatly reject Trump’s deal

October 13, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Recent Posts

  • AutoPR: Let’s Automate Your Academic Promotion! – Takara TLDR
  • Kitsa transforms clinical trial site selection with Amazon Quick Automate
  • It’s no surprise MIT’s Sally Kornbluth is the first to flatly reject Trump’s deal
  • Breaking the bottleneck: Why AI demands an SSD-first future
  • HR Tech Conference 2025 Lessons

Recent Comments

  1. ThunderKickV9Nalay on Using AI saves teachers ‘six weeks per year,’ Gallup poll finds – but at what cost?
  2. neonfalcon88Nalay on Using AI saves teachers ‘six weeks per year,’ Gallup poll finds – but at what cost?
  3. RioFlareZ3Nalay on Steven Pinker: AI in the Age of Reason | Lex Fridman Podcast #3
  4. ThunderKickV9Nalay on Google DeepMind’s Demis Hassabis Wants to Build AI Email Assistant That Can Reply in Your Style: Report
  5. twistyflameotter7Nalay on Meta CTO Bosworth says OpenAI countered lucrative job offers to AI startup’s employees – NBC New York

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

LinkedIn Instagram YouTube Threads X (Twitter)
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.