By 2028 the AI tools developers could cost more than the developers themselves?
MarTech Podcast ™ // Marketing + Technology = Business Growth
- 4m
- Transcript
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
- 1:39
Disagreeing With Gartner's Cost Predictioninsight
Katrina disagrees that AI tools will cost more than developers by 2028, arguing that humans will innovate to prevent AI from being cost-prohibitive.
- 2:10
Open Models Reducing AI Costsstrategy
Discussion centers on how the community's focus on open models will make AI more affordable over time.
- 2:30
Competition Prevents High Token Costsinsight
Benjamin agrees that fierce business competition prevents companies from paying excessive yearly fees for AI and tokens.
- 2:43
The Advantage of AI Adoptersinsight
Engineers and builders who effectively use agents will accomplish a tremendous amount, while non-adopters will struggle.
- 3:18
Future of One-to-One Marketinginsight
Katrina predicts that marketing will eventually achieve true one-to-one selling and highly personalized customer interactions.
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
Sponsored segments
- 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
677 words · 6 speakers
Topics
- tokens
- I Hear Everything Podcast Network
- New Relic
- martechpod.com
- AI tools
- open models
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