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By 2028 the AI tools developers could cost more than the developers themselves?

MarTech Podcast ™ // Marketing + Technology = Business Growth

4m
Transcript

Original podcast

Summary

Written by a model from the transcript; not yet reviewed.

This episode of the MarTech Podcast features host Benjamin Shapiro in a lightning round discussion with Katrina Wong, the Chief Marketing Officer at New Relic, about using data to make better business decisions. They debate a prediction from Gartner that by 2028, AI tool development could cost more than human developers themselves. Wong disagrees, arguing that intense community competition and open models will drive down token costs before then, while Shapiro notes that efficient AI adopters will accomplish vastly more with fewer engineers.

  • Do not assume AI tool costs will remain prohibitive because community innovation and open models will likely make them more affordable by 2028. 1:39
  • Anticipate that effective use of AI agents will empower smaller teams to accomplish significantly more work. 2:43
  • Keep striving for highly personalized, one-to-one marketing and selling as the ultimate industry goal. 3:18

Highlights

Quotes

  • “Gardner predicts that by 2028, the AI tools developed could cost more than developers themselves.”
    Unnamed speaker · 1:31
  • “I think Jensen recently said, hey, how much you're spending on tokens should be the cost of your developer.”
    Unnamed speaker · 1:47
  • “There's no way that people are going to be paying $250,000 a year for AI and tokens.”
    Unnamed speaker · 2:30
  • “All right, that wraps up this episode of the Martech Podcast.”
    Unnamed speaker · 3:30
  • iHereEverything.com 0:00–0:21
  • iHereEverything.com 4:29–4:39

About this episode

AI development costs won't outpace developer salaries by 2028. Katrina Wong, Chief Marketing Officer at New Relic, brings 20+ years of enterprise marketing leadership and AI-driven go-to-market expertise. She predicts market competition and open models will keep AI tooling affordable, while token costs won't scale to $250,000 per developer per year. Wong also points to one-to-one personalized marketing and selling as the next frontier AI will unlock. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Transcript

0:00
4:07

677 words · 6 speakers

Topics

  • tokens
  • I Hear Everything Podcast Network
  • New Relic
  • martechpod.com
  • AI tools
  • open models

Page updated · transcript and summary are machine-generated