What Skills Are Needed for Non-Technical Roles in AI? Global Practice and the Georgian Perspective

When artificial intelligence is discussed, most people think of technical roles — software engineers, data scientists, or machine learning specialists. But AI integration goes far beyond algorithm development. To turn AI systems into real products that help users and improve business operations, a wide range of non-technical professionals is required.

Globally, the AI ecosystem increasingly depends on roles like AI product managers, business analysts, creative content strategists, quality assurance testers, and customer-facing specialists. These professionals don’t build the algorithms, but they’re critical to ensuring AI is applied meaningfully in real-world contexts.

For example, product managers need the ability to bridge the gap between technical teams and business goals. They must understand user needs, market logic, and what AI can realistically deliver. Business analysts interpret data and place it in a context relevant to their organization. Creative roles now involve guiding how generative AI tools are used for branding, storytelling, and content strategy — especially in marketing and media.

BTU’s 2025 research shows that the Georgian market is beginning to reflect this shift, though these roles are still loosely defined. In non-technical job listings where AI is a core requirement or major component, employers are often seeking the following skill sets:

• Data literacy — the ability to read, understand, and apply metrics (e.g., KPIs, campaign performance, user analytics);
• Business process automation tools — such as RPA (robotic process automation) and AI-based workflow platforms;
• Familiarity with GenAI tools — including ChatGPT, Midjourney, Firefly, and others;
• Social media and digital marketing management — campaign planning, analytics, optimization;
• Creative strategy development — storytelling, branding, content planning across channels.

Notably, demand for such roles in Georgia mostly comes from international employers seeking remote workers. In local companies, these responsibilities are often combined under broader roles, without distinct professional labels or clear career pathways.

This presents both a challenge and an opportunity. On the one hand, the lack of well-defined non-technical AI career tracks.

The BTU’s full study — “AI Sector in Georgia: Current Trends and Future Potential” — is available at the following link.