We Are the Last People Who Know How It Works

As AI and abstraction layers eliminate friction from technology interactions, IT organizations risk losing deep system knowledge and operational intimacy—creating a paradox where organizations become more dependent on systems they understand less well than previous generations. While AI models preserve factual technical competence, the loss of hands-on problem-solving experience and machine familiarity among incoming technologists poses long-term risks when novel failures occur that require true operational understanding. CIOs must establish intentional knowledge transfer programs and maintain pockets of deep technical expertise to bridge the competence gap between highly abstracted modern systems and the practical debugging skills that will prove critical during systemic failures.