Network and infrastructure roles have been evolving due to the rise of technologies such as AI-driven operations, multicloud networking, zero trust network access, and SD-WAN, leading to significant changes in job responsibilities, required skills, and even job titles. A recent study from Indeed Hiring Lab revealed a dramatic increase in AI-related job titles outside the traditional tech realm, representing diverse sectors like healthcare and education. These titles increased from 264 in 2022 to 822 in 2026.
Despite these changes, the tech job market has shown strength, with CompTIA reporting over 280,000 new tech job openings and a steady decline in the unemployment rate to 2.9% for tech roles. Companies have posted nearly 600,000 active tech job listings, indicating a robust demand for IT professionals, particularly those with AI skills.
However, as organizations adopt AI faster than they prepare their workforce, a mismatch emerges. Kyndryl’s 2026 People Readiness Report found that only 23% of companies believe their workforce is ready for AI, with skill gaps cited as a significant barrier. The report identified a small cohort of organizations effectively redesigning roles around AI and training their staff, indicating a more prepared state that yields better revenue growth and innovation.
To address these skills gaps, CompTIA has introduced new certifications like the AutoOps+ to validate expertise in automation and DevOps skills in the context of IT operations. With the demand for cybersecurity, governance, and AI engineering skills climbing, companies must adapt their hiring strategies and invest in internal training to bridge the widening talent gap.
As AI continues to reshape job functions and requirements, organizations face challenges in hiring high-skill tech professionals who can navigate both traditional IT roles and emerging technologies. Hence, the emphasis on integrating AI into training programs will be crucial for closing the existing skills gap and meeting future IT demands effectively.
For more insights and resources on certifications, consider exploring CompTIA’s AI Essentials and Kyndryl’s reports.
