AI Era: Research and Product Teams Converge
Summary
The post suggests that collaborations like Cognition/Poke and Midjourney/Co-Star signal a new era where top-tier AI model/research teams merge with leading product teams. This convergence is significant because these distinct skill sets rarely coexist naturally, especially in consumer-focused companies.
Why it matters
Understanding this trend helps professionals anticipate future organizational structures and partnership models in the AI industry, influencing investment, hiring, and strategic planning.
How to implement this in your domain
- 1Evaluate current team structures to identify potential gaps between research and product development.
- 2Foster cross-functional collaboration initiatives between AI research and product teams.
- 3Seek out strategic partnerships that combine specialized AI model development with strong product execution.
- 4Invest in talent development programs that bridge the gap between AI research and product management skills.
Who benefits
Key takeaways
- The AI industry is seeing a trend of research and product teams merging.
- This convergence is vital for translating AI innovation into market-ready products.
- Historically, these skill sets have been separate, especially in consumer tech.
- Strategic partnerships and integrated teams will drive future AI product success.
Original post by @omooretweets
"Cognition/Poke and Midjourney/Co-Star may be the start of a new era: Best-in-class model/research teams combining with best-in-class product teams These skill sets rarely naturally coexist, especially in consumer"
View on XOriginally posted by @omooretweets on X · view source
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