The pressure to “add AI” is everywhere, but not every problem needs a model. We sit down with Veeam Vanguard Jonah May to separate durable value from hype.

Jonah shares how AI actually speeds up the day: rapid log triage, code scaffolding for integrations, and smarter reviews that catch crashes and duplicates before they ship.

If you’re an IT pro, you’ll find pragmatic takeaways: treat models like fast interns, keep secrets and sensitive data out of the cloud, use least‑privilege roles, log everything, and prefer deterministic scripts when safety matters. For teams exploring agentic AI, we outline hard guardrails—sandboxed rehearsals, immutable audit trails, and human‑in‑the‑loop approvals for destructive actions. We also talk careers: why senior roles still require judgment, how juniors can learn faster with AI, and why the market will likely correct toward tools that prove real value under compute, power, and cooling limits.

Enterprise architect and community leader Chris Childerhose joins us to trace the arc from early mistakes to designing backup systems that bend without breaking, and the discipline it takes to write books, mentor others, and still ship reliable recoveries under pressure.

We dive into the strategic moves reshaping backup: Veeam’s shift to PostgreSQL as the default database, why some teams wisely waited for the Veeam Software Appliance, and how object storage evolved from capacity tier to direct-to-object. Chris shares how service providers adapted Cloud Connect with object on the back end, pairing immutable storage with managed expertise. We explore the 3-2-1-1-0 rule in practice, the realities of ransomware recoveries that stretch for months, and the value of automating proof with SureBackup and SureReplica so you aren’t guessing about what will boot at 2 a.m.