Interview by Jonathan Kersting
When did AI stop being a fun experiment… and start becoming table stakes for running a business?
In just a year, AI has gone from “interesting” to essential. But while nearly every company is talking about it, only a fraction are actually seeing real returns.
In this episode of 10 Minute Tech Talks, you’ll hear from Justine Kasznica and Chris Farmakis of Babst Calland on why AI adoption has exploded, what’s driving CFOs a little crazy right now, and how the companies getting it right are separating themselves from the pack.
This is the moment AI stopped being optional, and became core to how business gets done.
So here’s the takeaway: AI is officially mainstream, but success is far from guaranteed.
Some companies are unlocking massive efficiency gains. Others are burning money and wondering what went wrong.
If AI is everywhere, why are so many companies still struggling to make it work?
In Part One "Why Tech Entrepreneurs Can’t Treat AI as an Experiment Anymore", we talked about how AI crossed into the business mainstream. Now it’s time for the harder question: why do so many implementations stall, underperform, or quietly fail?
In this episode of 10 Minute Tech Talks, we talk to Justine Kasznica and Chris Farmakis of Babst Calland to get into the real blockers, from data quality and security risks to leadership missteps and workforce anxiety — and what smart organizations are doing to overcome them.
This is where AI strategy meets reality. AI doesn’t fail because the technology isn’t powerful enough. It fails when leadership treats it like a tool to buy instead of a capability to build.