How AI Is Reshaping IT Services from the Inside (34 min)

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• Release date: 2026-04-01
• Listen on Spotify: Open episode
• Episode description:

  Joe Schmidt speaks with Peter Doyle, CEO of Treeline, about why the $100B managed service provider market is a decade behind modern technology and how Treeline is building a new model that combines human technicians with AI and automation. They discuss the company's growth strategy, why pure play software struggles in services categories, and what the forward deployed engineer trend tells us about AI adoption.   Resources: Follow Peter Doyle on LinkedIn: https://www.linkedin.com/in/peterwdoyle/   Follow Joe Schmidt on X: https://twitter.com/joeschmidtiv Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Summary

• 💼 Massive Untapped Market: The $100B+ MSP sector for IT/security services is outdated, reactive, and ripe for AI transformation serving SMBs.
• 🔄 Hybrid Model Wins: Start as services, iteratively build AI/software; pure SaaS fails in messy, legacy-heavy environments.
• 🤖 Humans + AI Essential: Technicians augmented by agents for proactive, efficient service; even labs deploy engineers for enterprises.
• 🚀 Slow Legacy Integration: AI’s biggest impacts lie in trillion-dollar infrastructure, requiring years and new models.
• 🌟 Future Trusted Partner: Evolve beyond IT to high-trust advisor, deepening client ties with data and AI enablement.

Insights

• Will AI’s trillion-dollar legacy infrastructure impact take decades?
  • Time: 0:00 – 21:46
  • Answer: AI has boosted new apps and productivity, but integrating with decades-built critical systems demands time, new models, and human oversight. MSPs exemplify this, where trillions in software underpins economies but resists quick change. Slow integration creates enduring opportunities for hybrid innovators.
• Why is the $100B MSP market a prime target for AI-driven reinvention despite its massive size?
  • Time: 1:15 – 3:29
  • Answer: The managed service provider (MSP) market for IT and security services is enormous but operates with outdated, reactive processes using 30-35 stitched-together tools, lagging a decade behind modern tech. AI can transform it by integrating software, automation, and humans to serve small/mid-sized businesses more proactively and efficiently. This backbone of the US tech economy offers huge untapped potential as AI widens the gap.
• Can starting as a services company beat pure SaaS in complex AI applications?
• Is ‘SaaS is dead’ the reality check for AI in services-heavy industries?
• Why do even frontier AI labs deploy armies of engineers for enterprise wins?
• Are AI rollups just margin hacks or true category reinventors?
• How can MSPs evolve from reactive ticket-waiters to proactive AI partners?
• Which services are AI-safe: those too physical or too complex?

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