Why Doomers Are Wrong About AI

In this episode of Dalton + Michael, the two discuss why humanity will thrive with AI. The doom and gloom narrative gets a lot of attention but there is another way to look at it. Life is better than it was 100 years ago, and it will get even better. Discussion includes: why AI won't destroy civilization, the origins of the labs, removing meaningless work, why the labs are still hiring, and what founders can do to find a sense of meaning and purpose. Dalton + Michael is brought to you by @Standard_Cap Dalton Caldwell on X: https://x.com/daltonc Michael Seibel on X: https://x.com/mwseibel

Dalton CaldwellhostMichael Seibelhost

Jul 29, 202625mWatch on YouTube ↗

EPISODE INFO

Released: July 29, 2026
Duration: 25m
Channel: Dalton + Michael
Watch on YouTube: ▶ Open ↗

EPISODE DESCRIPTION

In this episode of Dalton + Michael, the two discuss why humanity will thrive with AI. The doom and gloom narrative gets a lot of attention but there is another way to look at it. Life is better than it was 100 years ago, and it will get even better. Discussion includes: why AI won't destroy civilization, the origins of the labs, removing meaningless work, why the labs are still hiring, and what founders can do to find a sense of meaning and purpose. Dalton + Michael is brought to you by @Standard_Cap Dalton Caldwell on X: https://x.com/daltonc Michael Seibel on X: https://x.com/mwseibel

SPEAKERS

Dalton Caldwell
host
Co-host of the Dalton + Michael podcast/channel, discussing technology and AI from an operator/investor perspective.
Michael Seibel
host
Co-host of the Dalton + Michael podcast/channel, discussing startups, organizational design, and AI’s impact on society.

EPISODE SUMMARY

In this episode of Dalton + Michael, featuring Dalton Caldwell and Michael Seibel, Why Doomers Are Wrong About AI explores why AI will improve life, work, and human meaning long-term They explain how today’s AI discourse became dominated by fear, from early lab origin stories (OpenAI/Anthropic safety framing) to click-driven social algorithms that reward doom narratives.

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