Episode Details

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"How many people can this replace?" is the wrong question to ask about AI.

The better question is, "What could my team do if all the busywork disappeared?"

Today's featured guest unpacks how he's embedded AI across a 12-year-old agency, why it's increased hiring instead of reducing it, and what it actually takes to make AI stick culturally, not just technically.

Gilad Bechar is the founder and CEO of Moburst, a global digital transformation agency that started as a mobile marketing shop and evolved into a full-service growth partner for some of the biggest brands in the world, Google, Microsoft, Uber, Samsung, and more.

Over the past 12 years, Moburst has completed five acquisitions and continues to acquire two to three companies per year, intentionally expanding capabilities to become a true one-stop growth shop. In our previous conversation, we talked about acquisitions and scale. This time, we focused on what Gilad calls the next major accelerator: AI.

In this episode, we'll discuss:

• AI is NOT a side project.

• AI adoption could result in more hiring, not less

• How your agency team could see AI as a career transformation

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One of the biggest mistakes agencies make with AI is delegating it too low in the organization.

Gilad knew early on that AI wasn't a trend; it was an operational shift. Instead of hiring a junior "AI manager" or tasking a developer with experiments, he hired a VP of AI and gave that role real authority. The mandate was simple but uncomfortable: if you're doing things in 2026 the same way you did them in 2024, you're already behind.

That level of change creates friction, especially in senior teams with decades of experience. Gilad was clear that AI adoption couldn't be optional or political. A manager shouldn't have to "fight" a director or VP to change how work gets done. By putting AI leadership at the VP level, Moburst removed that bottleneck entirely.

AI wasn't framed as "your work is wrong." It was framed as "your work could be 10x more effective if we rethink the process."

They backed this up structurally. Every team has an AI Champion, someone who spends 20–30% of their time driving AI adoption within their department whil