AI Is Not Just the Tool, It's the Test

Pretty much every week, I hear about another organisation requiring its employees to integrate artificial intelligence into their daily workflows, meaning staff must actively demonstrate they're using AI tools regularly and clearly show how these tools add tangible value to their work. These mandates, of course, are presented as proactive strategies, showcasing organisations as forward-thinking and adaptive to change.

Yet, this narrative seems to have holes in it that I just can't get past.

If the purpose of these mandates is simply for staff to automate routine tasks using AI, that's hardly groundbreaking, practically every organisation I speak to is already pursuing this.

So, the underlying intent of these mandates must be to encourage staff to leverage AI at a deeper, more strategic level and therefore increase their capabilities.

The Strategic Capability Paradox

But this feels like the tail wagging the dog. Simply mandating AI usage won't magically enable staff to operate more strategically. Where would these new strategic capabilities suddenly come from? If an organisation's true ambition is to cultivate a more capable and strategic workforce, the logical course of action would be a significant investment in upskilling and development, not issuing a top-down order to use new AI tools. True innovation emerges from empowering capable workforces, not enforcing usage patterns.

AI's greatest potential lies in augmenting sophisticated human judgment, but that requires humans capable of exercising such judgment in the first place.

Two Uncomfortable Truths

Mandate AI usage across an organisation, and two uncomfortable truths quickly surface:

• First, much of what was previously labelled as skilled knowledge work turns out to have been routine information processing all along.
• Second, few employees have been properly equipped with the kind of advanced thinking that intelligent systems can't easily replicate.

Compliance, Capability, or Something Else Entirely?

This disconnect suggests these mandates could have motivations beyond their stated goals. The intent can be debated, but the underlying paradox is quite clear: without a compelling narrative about genuinely empowering the workforce, such mandates are more likely to imply compliance rather than capability.

Are these AI mandates truly intended to elevate employees, or are they really aimed at exposing and then addressing the underlying fragility of today's workforce?

For public companies, demonstrating technological adoption can influence market perception and investor confidence.[1] The mandate serves as visible evidence of innovation, even when substantive transformation remains elusive. However, in most enterprise deployments, platforms provide usage analytics that, subject to configuration and privacy controls, give visibility into how employees interact with these tools. Over time, even aggregated telemetry can indicate which tasks tend to be offloaded to AI, which workflows the systems handle most effectively, and which roles centre on routine, codifiable work.

The rich data collected enables management to pinpoint exactly which roles are suitable for automation or restructuring. Seen in this light, mandatory AI adoption might be less about driving innovation and more about diagnosing organisational weaknesses and workforce vulnerabilities. Maybe I'm being too sceptical, but the superficial justifications for AI mandates can begin to make sense when viewed through this lens.

To be clear, the point here is outcomes, not motives. Intent varies across organisations. In many cost-constrained settings, mandating and measuring AI usage tends to surface where work is automatable, where roles overlap, and where capability is thin. What follows describes that recurring pattern, irrespective of how the mandate is framed.

A possible progression could look like this:

• First, mandate and measure AI use, which makes visible the tasks that are readily automatable and where roles overlap.
• Second, use the resulting usage and performance data to redesign workflows and identify redundancies, potentially restructuring teams.
• Third, concentrate development investment on a smaller cohort who demonstrate adaptability and strategic contribution.

In this scenario, roles redefined around routine oversight may become less attractive or poorly matched to existing skills, and attrition or performance management may follow, functioning as an indirect form of workforce reduction.

The organisation becomes leaner and more AI-reliant, staffed by a small core of strategically aligned professionals. Viewed through such a lens, AI mandates are not designed to empower the workforce, but to redefine it entirely, with automation and selectivity as the primary drivers. The net result is a sharper picture of where capability is thin and where roles can be reconfigured or removed.

I will also note that mandates can still be constructive when paired with redesigned work, psychological safety for experimentation, targeted training, and outcome metrics that prioritise capability and decision quality rather than raw usage.

Cultivate Collective Intelligence, Not Individual Superstars

If companies genuinely want AI to elevate their workforces as cognitive companions, they must abandon the "sink or swim" mandate approach. The critical disconnect here is the assumption that an entire workforce can, or should, think strategically, embrace ambiguity, and behave like founders and CEOs. Not only is this unrealistic, it is organisationally harmful.

The real transformative power of AI isn't creating a thousand individual "superhumans." It's creating more intelligent and interconnected teams.

Kitty Wheeler's recent interview with Edosa Odaro, Global AI Values Advisor, captures this perfectly, with Edosa stating:

"The status quo assumes that AI development should outpace human adaptability. That's not inevitable; it is a choice." (Interview by Kitty Wheeler, AI Magazine, 30 July 2025).

Organisations serious about collective intelligence and cognitive diversity understand that human adaptability and collaboration come first; AI follows.

Cognitive Diversity: An Organisational Strength, Not a Weakness

Organisational strength arises from cognitive diversity, not uniformity. Founders and executives often thrive on uncertainty and strategic exploration. Yet many high-performing employees excel precisely because they follow processes, appreciate certainty, and deliver consistent results within clearly defined boundaries. That isn't something to fix or improve. It's something to recognise and leverage.

AI mandates bring an uncomfortable truth to light. Measuring employee value predominantly by compatibility with AI risks narrowing how organisations define workforce capability, potentially favouring uniformity over cognitive diversity. Ironically, this appears to be the very opposite of what these mandates claim to pursue.

If capability rises and task design improves, it is augmentation; if the dashboard merely sorts people, it is filtering.

References

Wheeler, K. (2025, July 30). How leaders can achieve long-term enterprise AI success. AI Magazine. aimagazine.com

[1] Investor signalling: recent earnings-call transcripts and investor-day presentations across large-cap technology and enterprise software firms often highlight AI adoption or usage metrics as evidence of innovation and future growth.

• Microsoft FY2025 Q4 earnings call (30 July 2025): Satya Nadella reported "our family of Copilot apps has surpassed 100 million monthly active users" and that customers are adopting Microsoft 365 Copilot faster than any prior suite release, with record seat adds in the quarter. Source: Microsoft Investor Relations, FY25 Q4 call transcript.
• Adobe Q1 FY2025 earnings call script (12 March 2025): management noted "users have generated over 20 billion assets with Firefly," alongside high generative-AI feature usage in flagship products. Source: Adobe Investor Relations, Q1 FY25 prepared remarks.
• ServiceNow Q2 2025 results (23 July 2025): the company highlighted strong adoption of Now Assist and said it is on track to reach $1 billion ACV by 2026. Source: ServiceNow press release and earnings commentary.