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The pros and cons of using AI agents as early employees | TechCrunch Disrupt 2025

Most startups today are using AI in some capacities: vibe coding prototypes or new features, deep research via their favorite chat before sales calls. Many are also building AI products, or at least including AI options and features. So should you embed AI at the root operations of your businesses like hiring AI agents instead…

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Most startups today are using AI in some capacities: vibe coding prototypes or new features, deep research via their favorite chat before sales calls. Many are also building AI products, or at least including AI options and features.

So should you embed AI at the root operations of your businesses like hiring AI agents instead of humans for sales? For customer support? To automate your billing? Learn how to pick the right use cases, build smarter workflows, and get the biggest impact with limited resources from these two experts from TechCrunch Disrupt 2025…

Jaspar Carmichael-Jack, Co-founder and CEO, Artisan
Sarah Franklin, CEO, Lattice

#TechCrunchDisrupt2025

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3 Comments

3 Comments

  1. @TarotSymbolism

    November 18, 2025 at 11:18 am

    👁️

  2. @soy_terricola

    November 18, 2025 at 7:51 pm

    Agents are for augmenting small teams! I am working in Agentic Users to push AI agents implementation for solopreneurs, consultants and more!

    The goal is to allow people to provide better services with real relationships and let AI manage non core work!

  3. @AI7Music

    November 18, 2025 at 7:53 pm

    Let’s be clear: if you build and deploy an AI agent, the liability falls on YOU, not Big Tech. Companies like OpenAI and Google shield themselves with API contracts that limit their liability. When your agent goes rogue and causes harm, it’s YOUR company that will face lawsuits and regulatory fines. You can’t outsource responsibility.

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The quality of your AI model doesn’t matter if no one’s using it.

Early Anthropic investor and Menlo Ventures partner Matt Murphy breaks down why just assuming customers will re-platform because of quality alone is the wrong bet in this episode of Equity:

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