At the APRICOT 2026 conference in Jakarta, Indonesia’s Universitas Islam presented findings that generative AI can alleviate the cognitive strain on network engineers during IPv4 to IPv6 transitions. The investigation was led by CIO Mukhammad Andri Setiawan and involved creating a tool named ‘Net AI Copilot’. This tool simplifies the conversion process and enhances accuracy with automated checks and rollback features. While AI reduced mental effort by 65% and significantly cut down task completion time, organizational readiness for AI and IPv6 still poses challenges.

The experiment involved network engineers using the tool and showed a dramatic improvement in speed and error reduction compared to manual methods. Despite these advancements, Setiawan highlighted a core obstacle: organizations’ hesitations towards AI adoption mirror those of IPv6 migration due to concerns about safe integration.

Setiawan suggests that IT professionals need to develop a deeper understanding of business processes to leverage AI effectively, indicating a shift towards AI literacy among network teams. As operational readiness is deemed crucial for embracing both AI and IPv6, IT departments might consider shared infrastructures to mitigate risks like potential vendor lock-in.