Podcast Summary: Can AI Predict When I Will Die?

Podcast: Artificial Intelligence Podcast: ChatGPT, Claude, Midjourney and all other AI Tools
Host: Jonathan Green
Guest: Scott Zimmerman (Corps Strat; Life Insurance Expert)
Date: May 19, 2025

Episode Overview

This episode dives into the transformative role of artificial intelligence (AI) within the life insurance industry—and tackles the provocative question, “Can AI predict when I will die?” Host Jonathan Green sits down with industry veteran Scott Zimmerman to explore how AI impacts insurance underwriting, claims, fraud detection, and the evolution of insurance products. The conversation covers the speed, accuracy, and pitfalls of AI-powered processes, discusses the shift in customer-broker relationships, and considers how consumers can navigate an increasingly complex marketplace.

Key Discussion Points & Insights

1. The Evolution of Life Insurance Underwriting with AI

• Past vs Present

  • Scott: Began career in life insurance 35 years ago when everything was paper-based and face-to-face. Underwriting was lengthy, requiring medical exams and records transfers (01:32).
  • Today:
    • Online applications and instant approval possible through AI-driven data aggregation from digital medical records and prescription data.
    • "Now, you can go online, do an application, get instant approval ... it's just so much easier with AI to gather that information." – Scott (01:32)

• Impact on Speed and Customer Experience

  • Drastically reduced approval times—from weeks/months to minutes.
  • Some customers now qualify for up to $2 million in coverage instantly (04:25).
  • Positive: Peace of mind and convenience for consumers.
  • Negative: Data can be misleading (e.g., a prescription record that doesn't reflect true usage).

2. Accuracy, Bias, and the “Thumb on the Scale” Problem with AI

• Host Jonathan’s Perspective:
  • AI might give different answers to the same question depending on how it is asked. "AIs seek affirmation, not honesty. It's never going to give you a hard truth." – Jonathan (03:07)
• Scott's Response:
  • Overall, net positive, but prescription monitoring (and similar automated systems) can sometimes penalize applicants who don’t fit cleanly into data-driven models.

3. Fraud, Claims, and AI’s Role in Payouts

• Types of Fraud:
  • Hiding serious medical conditions during application is the main issue, not faked deaths.
  • Two-year contestability period: Insurers can investigate claims within the first two years for fraud (07:10).
• AI’s Current Role:
  • Claims, especially for life insurance, haven’t yet been heavily influenced by AI (06:21).
  • Unlike health or property insurance, life insurance claims are more straightforward.

4. Changing Products and the Rise of ‘Impersonal’ Insurance

• New Insurance Marketplace:
  • Central trend: Move towards fast, app-based, and often relationship-free policies (e.g., instant approval from social media ads) (09:34).
  • Implications:
    • May lead customers to more expensive or less optimal policies.
    • Lack of personal guidance could result in purchasing suboptimal coverage.
  • Scott: "I don't feel as a fiduciary guidance giving the right people the guidance. It's not fully there yet." (11:20)

5. Navigating the ‘Murky’ World of Modern Insurance

• Overwhelming Choice & Affiliate Marketing:

  • Many comparison websites are commission-driven.
  • Companies may “white-label” or resell policies, making it hard for customers to track who really holds the policy (11:49).

• Advice on Getting Accurate Information:

  • Work with a broker who can access multiple carriers and tailor choices to your real needs (14:05).

6. The Dangers of Speed and Overpromising with AI

• Market Gimmicks:

  • Many companies rebrand as “AI” to attract funding/investors but offer little substance (19:26).
  • Not all innovations improve consumer outcomes—speed isn’t always better if criteria are missed or claims are slow.

• Memorable Analogy:

  • "Whenever they've changed the rules, the one thing I know is that my odds have gone down ... they're never going to bring out a new version that increases my odds as the player." – Jonathan (16:05), comparing new insurance offers to gambling odds.

7. AI’s Current and Future Role in Personalized Planning

• Scott: AI offers value for quick, straightforward cases, but more complex needs ('real planning') require a human advisor (19:19).
• AI tools (like ChatGPT) can provide surprisingly thorough answers, but they may miss crucial, context-specific factors.

8. What Makes a Good Insurance Provider or Policy?

• Scott’s Checklist (“Sniff Test”):
  • Company strength, size, and stability
  • Claims payment history
  • Product suitability and price (17:28)

9. Critical Consumer Lessons

• Buying policies from “quick and easy” AI-driven companies may cost you more—and often lack personalized guidance.
• Technology shifts don’t always favor the customer; use AI as a tool, not a substitute for expertise.
• Always check if the insurer actually pays out claims promptly and fully.

Notable Quotes & Memorable Moments

• On AI-Driven Underwriting:

  • "Now, you can go online, do an application, get instant approval ... it's just so much easier with AI." – Scott (01:32)

• On AI Bias:

  • "AIs seek affirmation, not honesty. It's never going to give you a hard truth." – Jonathan (03:07)

• On The Two-Year Contestability Rule:

  • "As long as you live for two years after you start a policy, you're pretty much golden." – Jonathan (07:43)

• On Quick, Digital Insurance Product Risks:

  • "People are maybe buying the wrong policies when they should be buying different policies... it’s not fully there yet." – Scott (11:20)

• On the Dehumanization of Service:

  • "It used to be you'd go to a travel agent ... I could tell you now that traveling is a nightmare compared to 20 years ago. It's so much worse." – Jonathan (14:24)

• On the Allure of ‘AI’ Branding:

  • "Every venture capital fund will give you — as soon as you add AI to your name." – Jonathan (19:26)

• Analogy—Beware the New Game:

  • "Whenever they've changed the rules, the one thing I know is that my odds have gone down." – Jonathan (16:05)

Timestamps for Key Segments

• Scott’s Intro and Industry Evolution: 01:32–02:41
• AI and Instant Underwriting: 02:41–05:31
• Fraud Detection and Claims Processes: 06:21–09:03
• Rise of Quick, App-Based Insurance: 09:34–11:49
• Navigating Murky Information, Broker Advice: 12:51–14:24
• Product Overload and Decision Complexity: 14:24–17:28
• AI Branding, Venture Capital, and Hype: 19:19–19:26
• Consumer Tips and Final Thoughts: 17:28–22:54
• Guest’s Contact Info and Close: 23:32–23:48

Final Takeaways

• AI has dramatically improved the speed and convenience of life insurance, but boundaries remain: It cannot yet replace human expertise for complex, nuanced decisions.
• Caveat emptor: Instant policies may be more expensive and less tailored; relationships with brokers still matter for most consumers.
• Evaluate information sources carefully—many have hidden financial incentives.
• The most important question isn’t just “What’s the cheapest policy?” but “Will this company pay promptly when it matters most?”

Guest Info:
Scott Zimmerman, Corps Strat
Contact: scott@corpstrat.com | (818) 481-9342

Host: Jonathan Green
Artificial Intelligence Podcast
artificialintelligencepod.com