WorkSeptember 5, 2026via InfoQ AI/ML
Presentation: A Few Predicted Talks From QConAI 2030
Why it matters
Expert prediction on how AI agents and token economics will reshape software engineering roles and workforce skill requirements by 2030. Practitioners should anticipate shifts in hiring, team structure, and career positioning.
Key signals
- Token spend management emerging as critical IT skill
- Parallel agent infrastructure reshaping software architecture roles
- Non-technical builders entering engineering workflows
- Agents driving vendor evaluation and selection decisions
- Regulatory hurdles predicted for agent deployment
- Software engineers transitioning from pure coding to product leadership and multi-agent coordination
- Token spend management emerging as a core engineering responsibility
- Parallel agent infrastructure reshaping IT architecture decisions
- Non-technical builders entering software development workflows
- Agent-driven vendor selection replacing traditional tech stacks
- Regulatory hurdles anticipated as industry matures
- Engineers transitioning from coding skills to product leadership and multi-agent coordination
The hook
Software engineers need to pivot: coding skills alone won't cut it in 2030. Token spend, agent coordination, and product leadership are the new floor.
Meryem Arik discusses her predictions for software engineering in 2030. She explains how token spend management, parallel agent infrastructure, and non-technical builders will reshape IT. She shares insights on agent-driven vendor decisions, upcoming regulatory hurdles, and why software engineers mu…