AI's Unglamorous Plumbing Phase

Why are we dreaming of superintelligence while critical enterprise data still lives in Excel spreadsheets named “FINAL_v3_ACTUALLY_FINAL.xlsx”?

History repeats itself: Just as the 90s were spent digitizing paper records before internet innovation could flourish, we’re now in AI’s unglamorous “plumbing phase,” connecting fragmented systems that must precede transformation.

For the next several years, the day-to-day burden won’t fall primarily on AI visionaries, but on those doing the critical work of standardizing data, integrating systems, and building connective tissue between organizational silos, the foundation that makes meaningful AI deployment possible.

It’s like renovating an old house: You envision smart appliances and automated lighting, but first, you must replace the outdated electrical system that can’t even handle running a coffee maker and toaster simultaneously without tripping a fuse.

Fundamentals first.

The most valuable professionals during this transition? The “systems translators,” those rare individuals who understand both legacy infrastructure and future possibilities, navigating the complex journey from disconnected systems to AI-ready architecture.

This foundational work, often tackling years of accumulated tech debt, may seem overwhelming. While emerging AI tools will eventually help automate parts of this cleanup, they can’t understand your unique business context or strategic priorities.

Success requires human expertise, either from within your organization or external specialists, who can guide this critical transformation.

What three systems in your organization need to be connected before AI can truly deliver on its promise?

Originally posted on LinkedIn. Join the discussion and share your thoughts there.