"According to some estimates, tech debt, or the costs incurred when having to constantly fix aging or clunky software systems, has ballooned to more than $1.52 trillion in the U.S. alone. With technology like agentic AI being heavily embedded on top of companies' aging technology systems and operations, this rising cost of tech debt makes sense. Many organizations are quickly implementing new technologies without addressing underlying systems first."
"It's no secret that gen AI is changing the technological landscape, requiring companies to move faster at adopting and implementing technology that impacts huge portions of their businesses. According to Accenture's 2025 Pulse of Change report, 27% of organizations are already investing in AI agents across multiple parts of their enterprises, signifying the real value AI is creating. Within just the cybersecurity space, AI is helping companies accelerate code remediation, cut down on defect backlogs faster and improve business resiliency."
Tech debt has grown into a multitrillion-dollar burden, driven by costs to constantly fix aging or clunky software systems. Generative AI and agentic models are being layered onto existing legacy systems and operations, increasing complexity and exacerbating hidden costs. Many organizations are rapidly implementing new technologies without first addressing underlying infrastructure, producing haphazard foundations that accumulate and destabilize operations. The result includes large financial costs, greater vulnerability, and long-term business consequences. Significant enterprise investment in AI agents is already underway, and AI can help cybersecurity, but integrating AI into suboptimal systems can deepen tech debt and add maintenance burdens.
Read at Fortune
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