Should AI Do Your Laundry (And Your Job)?

Luiza Jarovsky, PhD has 85,000 newsletter subscribers. Last week, she posted something that stopped me cold:

“In a few years, it will become evident that hundreds of millions of people cannot brainstorm, organize thoughts, or write simple text samples alone, as they’re so used to ultra-processed AI summaries, simple bullet points, and pre-synthesized ideas.”

She’s describing AI-induced cognitive atrophy – the dystopian outcome of undisciplined AI adoption.

Her conclusion? “I sincerely don’t think it’s possible anymore” to achieve the AI utopia where technology handles mundane tasks while humans focus on higher-value work.

---

BUT IT’S NOT INEVITABLE

I commented on her post because after 27 years developing self-learning algorithms and tracking transformation patterns, I’ve seen this movie before.

The problem isn’t AI itself. It’s undisciplined AI adoption.

What Luiza describes happens when:

• Organizations deploy AI without validation methodology
• People accept first outputs without critical evaluation
• Judgment is surrendered instead of enhanced

But there’s another path: Conversational AI fluency through systematic methodology.

What prevents the dependency Luiza warns about:

• Multi-model orchestration (validating across AI perspectives)
• Systematic evaluation frameworks
• Maintaining critical judgment throughout
• AI as collaborative partner, not replacement

It parallels organizational transformation:

• Deploy technology without readiness → 80% failure rate
• Assess readiness first → Sustainable success

Individual AI adoption works the same way:

• Use AI without methodology → Cognitive atrophy (Luiza’s dystopia)
• Develop AI fluency systematically → Augmented capability

That’s what The October Diaries documents: Methodological AI collaboration that preserves and enhances human judgment rather than replacing it.

---

THE PROCUREMENT QUESTION

Luiza referenced a quote: “I want AI to do my laundry and dishes so I can do art and writing, not for AI to do my art and writing so I can do my laundry and dishes.”

But here’s the question for procurement professionals:

Do you want AI to do your job?

Not the transactional parts – PO processing, invoice matching, routine approvals.

But the strategic parts:

• Supplier relationship strategy
• Category management decisions
• Risk assessment and mitigation
• Stakeholder negotiation
• Organizational change leadership

Because if we adopt AI without methodology – without systematic validation, critical evaluation, and judgment preservation – we won’t be augmenting our capabilities.

We’ll be surrendering them.

And in a few years, we won’t be able to think strategically about procurement without AI prompts, pre-synthesized summaries, and ultra-processed recommendations.

---

THE THIRD WAY

We need a path between:

• ❌ AI pessimism (Luiza’s warning)
• ❌ Technology-first hype (McKinsey’s “13 frontier technologies”)
• ✅ Methodological AI fluency that gets benefits without dependency

That requires readiness:

• Organizational readiness (HFS) – Are we ready to deploy AI effectively?
• Individual readiness (October Diaries) – Can we use AI without surrendering judgment?

---

SO HERE’S MY QUESTION FOR YOU:

As a procurement professional, do you want AI to do your laundry (transactional tasks) so you can focus on strategy, relationships, and transformation?

Or are you heading toward AI doing your strategy while you handle the transactional cleanup?

Because one path leads to augmented capability.

The other leads to the cognitive atrophy Luiza warns about.

Which path is your organization on?

#AIReadiness #ProcurementTransformation #ConversationalAI #DigitalTransformation #ChangeManagement

30

BONUS COVERAGE – INNOVATION IMPACT ON JOBS

The following are three compelling graphics—what do you see in them?

GRAPH 1

GRAPH 2

GRAPH 3

EDITOR’S NOTE: In a follow-up post, I will provide a breakdown of the graphics and their meanings.