Technology-First Trap

Part of the Grow Studio AI Strategy Diagnostic guide.

This trap begins when the technology becomes the organizing idea. A new model, platform, or feature attracts funding before the business problem is sufficiently clear. The organization then searches for applications that justify the purchase. Training, process changes, and ongoing support are left to be arranged after deployment.

The diagnostic highlights novelty-led selection combined with an investment balance that gives insufficient weight to people and processes. Both matter. A technically ambitious project may be justified; the concern is whether its ambition is anchored in a business outcome and funded as a complete change to how work happens.

BCG's 10–20–70 framework provides a useful challenge to the investment plan. Based on its case experience, BCG attributes roughly 10% of AI value to algorithms, 20% to enabling technology, and 70% to the people component. That is a perspective on where value comes from, not a universal budget formula. It does not establish that every project must spend exactly 70% on change management. BCG, AI Transformation Is a Workforce Transformation.

Reopen the business case before the next purchase. Define the problem, the people whose work will change, the outcome sought, and the simplest credible way to achieve it. Then fund the full implementation, including process redesign and adoption. RAND's interviews with 65 experienced AI practitioners likewise identified technology chasing and misunderstanding the business problem among recurring causes of failure. RAND, The Root Causes of Failure for Artificial Intelligence Projects.

Assessment signals reflect self-reported responses and invite investigation; they do not predict project outcomes. Suggested action deadlines should be adapted to your organization.

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