We are overestimating the ease with which AI can replace human endeavour and underestimating the value that AI brings to amplifying human intelligence. I've been engaging with a couple of larger enterprises recently, advising on AI infrastructure investment, and it's clear that the main economic driver for AI system adoption is task and effort cost reduction. Help John in Sales with inbounds, or Sam in HR with employee training, or Mary in legal with contract renewals. While these use cases certainly align to the current AI landscape, embedding AI systems into existing workflows with a view to reduce human effort is potentially one of the least valuable things data-driven intelligent services can do.
The logic is simple: you are optimising the parts but ignoring the machine. Helping Mary in Legal process renewals 20% faster is a win on a spreadsheet, but in the context of the whole business, it's the digital equivalent of putting self-driving cars on the road only to get stuck in the early morning rush-hour queues. The burden of driving the car has gone, but it isn't moving any faster toward its destination. The "traffic jam" in most enterprises is the massive information gap between the three foundations that define every business: 1.
The Products: What you sell, what they cost to build, and how they are serviced. 2. The Customers: Who buys them, where they are, and crucially, what they are ignoring. 3. The Means of Production: The people and processes that support the first two. Each of these foundations is a rich goldmine of data signals, yet we treat them like isolated islands. Many larger businesses already understand that Data = Information = Knowledge, but the economic value of these insights often goes unrealized because we are using AI as a "power tool" for individual tasks rather than the connective tissue of the company.
AI offers businesses many ways to optimise operations, yet in the synthesis of disparate data sources into actionable insight, AI is being largely underutilised. If your AI strategy is focused on helping John, Sam, and Mary do their chores faster, you are achieving Local Optimisation at the expense of Global Intelligence. You are becoming incredibly efficient at moving in the wrong direction because you've built a faster engine but neglected the infrastructure it needs to do its job properly. The real prize isn't "effort reduction"; it's the ability to finally see how a ripple in your "Means of Production" is actually the hidden cause of a churn spike in your "Customers" .
Until you bridge those gaps, you aren't investing in AI, you're just buying a more expensive way to stay stuck.