The adoption of AI image generators in marketing is gaining momentum, and your study from Bangladesh offers some super valuable insights, especially from a developing country perspective, which often doesn’t get enough spotlight.

Here are a few thoughts:

1. Perceived Usefulness (PU) as a Mediator:

That’s a smart angle to explore. If marketers see real, tangible benefits—like saving time or boosting creativity—they’re more likely to adopt AI, even if they’re not fully comfortable with the tech yet. PU often turns hesitation into action.

2. Barriers like Job Displacement & Infrastructure:

Yep, this is a big one. In many developing countries, digital adoption feels like a double-edged sword—people want progress but also fear losing jobs. It’s crucial to have policies and training programs to make AI a tool for people, not against them.

3. Trust and Organizational Support:

These are underrated enablers. If a company backs AI adoption and trains employees properly, the transition becomes smoother. Trust in AI tools also comes with time and exposure.

4. Your Takeaways Could Help Globally:

Even outside Bangladesh, many small agencies in India, Nepal, Nigeria, and other emerging markets face similar hurdles. Your findings could be adapted and applied globally.

On AI's Future in Developing Markets:

As internet penetration and digital literacy rise, AI adoption is bound to grow—especially if tools become more user-friendly and less reliant on high-end systems. Mobile-first solutions and cloud-based generators could be game-changers here.