What do you think is the biggest barrier to adopting AI-powered UAVs across industries?

Over the past few years, I've noticed AI-powered UAVs evolving from simple aerial cameras into intelligent systems that can inspect infrastructure, monitor crops, generate maps, detect anomalies, and even make decisions during autonomous flights.

The technology seems ready for much broader adoption, yet many industries still rely on traditional workflows.

From what I've seen, the potential benefits include:

• Faster inspections with fewer safety risks

• Better data collection for decision-making

• Reduced operational costs through automation

• More frequent monitoring of assets and infrastructure

• Improved environmental and agricultural analysis

But I'm curious where everyone thinks the biggest challenge actually lies.

Is it:

• Regulations and compliance?

• Hardware costs?

• AI reliability and trust?

• Integration with existing business workflows?

• Limited technical expertise?

• Something else entirely?

I'd especially love to hear from founders, engineers, product managers, or anyone who's worked with robotics, computer vision, or autonomous systems.

Have you used AI-powered drones in a real-world project? If so, what surprised you the most?