Competent production is becoming a commodity
A structured memo, document summary, initial competitive analysis or polished presentation remains useful, but is rapidly losing scarcity. When several competitors can produce a comparable result in minutes, the deliverable alone is no longer proof of value. This does not immediately eliminate the activity; it compresses price, shortens acceptable lead times and makes differentiation harder to see. A productivity-only response may simply accelerate an already weakening business model.
Four assets resist commoditisation
The first is judgement: asking the right question and deciding with incomplete evidence. The second is context: understanding the history, constraints and stakeholders behind a recommendation. The third is trust: putting a reputation behind a decision and accepting its consequences. The fourth is proprietary data: field observations, usage history, past decisions and tacit knowledge that generic models do not possess. These assets must be captured, governed and embedded in value creation.
The real risk is silent erosion
Commoditisation rarely appears as a dramatic break in the income statement. It begins with weak signals: more requests for free pilots, lower willingness to pay for a first draft, declining conversion, or junior work becoming harder to bill. These signals should be monitored at offer-portfolio level. Waiting for a clear revenue decline allows the market to redefine value before the organisation does.
Move from deliverables to outcomes
A resilient offer describes less of what is produced and more of what changes for the customer: reduced lead time, avoided risk, faster decisions, additional revenue or internal capability. This changes service design, pricing and measurement. Each engagement should connect to an observable metric and make explicit the human contribution that AI does not replace.
This is a strategic decision
Technology leaders can industrialise tools, but they cannot alone decide which activities should be automated, augmented or abandoned. That choice affects the brand promise, skills, revenue model and capital allocation. The executive team should map exposed activities, identify defensible advantages and invest in distinctive data and expertise. The useful question is not “where can we add AI?” but “what will customers still pay us for in three years?”
8mind framework
The 8mind value pyramid
Automate
Standard, repeatable and controllable output.
Augment
Analysis combining models, internal data and business expertise.
Differentiate
Judgement, trust and measured customer outcomes.
Sources & method
The figures come from the publications below. They provide international orders of magnitude; their relevance must be validated in each organisation’s context.
McKinsey / QuantumBlackThe State of AI 2025↗BCGThe Widening AI Value Gap↗This publication is an original 8mind analysis. It turns public data and market findings into decision implications and frameworks for leaders without reproducing source texts.