Enterprise AI: Common Myths Inhibiting Success (Jon Reed)

Chasing hype is easy. Delivering results with AI in the enterprise? That’s where leadership is tested.

In this week’s episode of "What’s the BUZZ?," I sat down with Jon Reed, industry analyst and co-founder of diginomica, to unpack some of the biggest myths that hold organizations back from real Agentic AI success.

Here are four myths that stood out:

1) Myth: It has to be Generative (or now, Agentic) AI
Predictive models, machine learning, and other “less flashy” approaches often deliver the most immediate ROI. Success starts with the problem you’re solving, not the trendiest tool.

2) Myth: Perfect data guarantees perfect results
Even with high-quality data, AI is probabilistic and not deterministic. Outliers and unusual errors happen. That’s why audit trails, risk management, and cultural readiness matter just as much as data quality.

3) Myth: AI replaces expertise and creativity
AI amplifies expertise but cannot substitute for it. Domain experts are critical for spotting flaws and guiding outcomes. And while AI can generate content, true creativity and ingenuity still rest with people.

4) Myth: Leaders don’t need to understand the tech
Courage and vision are vital, but without data and AI literacy, leaders risk reimagining the future on the wrong foundation. Both human leadership skills and technical fluency are essential.

If you’re serious about moving past AI buzzwords and building sustainable success in your organization, this conversation is for you.

Questions or suggestions? Send me a Text Message.

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Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.

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