

Transitioning from the Cloud era to the AI era
85 snips Aug 24, 2025
The discussion dives into the pivotal shift from the Cloud era to the AI era, highlighting the foundational overlap between the two. Experts reflect on historical tech developments and the inevitable challenges of adopting new practices. Talent acquisition in AI is particularly daunting, as costs rise while companies seek skilled professionals. Listeners can expect contradictory reports on investment and ROI, and a notion that nothing in IT truly fades away, sparking lively debates on the future of technology.
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AI-Native Will Integrate With Existing Systems
- New eras start with 'native' approaches but later blend with existing systems.
- Expect AI-native designs to integrate back into cloud, mobile, and legacy apps over time.
Expect Multi-Year Timelines For Maturity
- Era transitions follow predictable timelines: a decade of prominence and 3–5 years for best practices.
- For AI we are still early, so expect several more years before stable patterns emerge.
Harden Your Cloud Foundation Now
- Do invest in optimizing current cloud and DevOps foundations even if you lack AI talent.
- Build automation, governance, and scalable platforms to be ready for AI integration later.