AI Development Costs to Surpass Developer Salaries by 2028

According to Gartner, the landscape of AI development is poised for a significant shift. By 2028, costs associated with AI development tools are anticipated to exceed the average developer salary. This stems from a move towards consumption-based licensing models and increased token usage, especially under the agentic mode, which consumes 1000 times more tokens than traditional assistant modes. This represents a substantial departure from current development models, traditionally characterized by per-user fees.

This shift primarily benefits cloud vendors and AI tool providers, as their revenue increases through consumption-based models. Conversely, companies utilizing these AI tools might face challenges due to escalating operational costs. This change may drive them to reassess when to integrate AI versus traditional methods. While this might initially pressure technology sectors to optimize AI usage economically, it could also consolidate power with leading cloud providers.

As organizations cope with rising costs, expect a strategic shift with companies adopting more controlled frameworks for AI deployment by mid-2027. This could include decision trees for AI utility and adjustments in levels of task autonomy, which Gartner advises firms to develop. Policy responses might include clearer cost-transparency regulations from governments to mitigate financial risks associated with high token consumption models.

Increased reliance on cloud-based AI solutions may influence the semiconductor supply chain dynamics as demand for data processing increases. Additionally, adjacent markets, especially those focusing on AI optimization and monitoring, are likely to grow, driven by corporates’ needs to manage token-based expenditures effectively.