The AI productivity paradox: Why thinking matters more than ever

Not long ago, the promise of AI was simple: do more, faster.

Write emails in seconds. Summarise reports instantly. Generate presentations before your morning coffee. Every week brings another tool promising to eliminate another piece of cognitive effort.

And to be fair, they work.

Most of us are more productive today than we were two years ago. But productivity and value are not the same thing. If everyone can produce content twice as fast, content itself becomes less valuable. If everyone has access to the same AI models, speed stops being a competitive advantage. The differentiator shifts elsewhere:

It shifts back to thinking.

The hidden cost of cognitive offloading

Technology has always changed the way we work. Calculators changed mathematics. Spreadsheets changed finance. Search engines changed research.

AI is different because it doesn’t just automate repetitive work. AI increasingly automates thinking.

Author Cal Newport recently highlighted research from MIT suggesting that people writing with AI exhibit lower levels of internal semantic processing than those writing independently. The conclusion wasn’t that AI makes us less intelligent. Rather, AI reduces the cognitive strain required to produce an outcome.

For routine tasks, that’s a remarkable advantage: Writing emails, documenting meetings, creating first drafts or translating information are all activities where reducing mental effort is exactly what we want.

But there is another side to the equation.

Many of our best ideas don’t emerge because thinking is easy. They emerge because it is difficult and it relies on exploring different ideas and directions.

Strategy, creativity, problem-solving, and innovation are just a few examples of difficult tasks. They require out-of-the-box thinking and the discomfort of wrestling with an idea is often where the real value is created.

As AI becomes increasingly capable, the organisations that continue to cultivate deep thinking may gain an advantage over those that simply become more efficient.

AI isn’t just changing work. It’s changing customers.

While much of the conversation around AI focuses on employee productivity, an even bigger transformation is taking place on the customer side. For years, digital marketing relied on a relatively transparent journey, that in a simplified way looked like this: 

A customer searched ® they clicked ® they compared options ® they visited websites ® and eventually, they purchased.

Every click created a measurable breadcrumb. Today we see that that journey is begins to disappear. Instead of opening ten websites, consumers increasingly ask an AI assistant “What’s the best running shoe?”.

The AI synthesises reviews, expert opinions, retailer content and product information into a single recommendation. The customer reads the answer, opens the brand’s website or a marketplace and buys.

What we see is that the research still happens and the influence still existed, but the clicks vanished. The customer journey hasn’t disappeared. It’s become invisible.

The new measurement crisis

This development creates one of the biggest strategic challenges retailers have faced in years. Most marketing measurement models were designed around observable behaviour like traffic, clicks, referral sources, and conversion paths. 

These metrics worked because they reflected a visible decision process. With AI search we see that it fundamentally changes that assumption.

If discovery happens inside an AI-generated answer, which publisher influenced the purchase? Which content built trust? Which investment created demand? Increasingly, nobody knows.

Retail is entering an era where influence matters more than ever and is simultaneously becoming harder to measure. Ironically, AI is removing visibility from precisely the stage of the customer journey that shapes customer decisions.

Influence becomes the new currency

This shift forces a broader rethink of marketing. For years, optimisation meant capturing attention and generating clicks. Tomorrow, the challenge will be earning trust before the customer ever reaches your website.

Original insights, credibility, and authority become strategic assets because they influence the systems increasingly influencing customers.

Search engine optimisation is evolving into something much larger: optimising to become the trusted source AI chooses to reference. But influence extends beyond digital discovery. It also lives in physical environments.

Why the store becomes even more valuable

Despite the rapid growth of e-commerce, the vast majority of retail purchases still happen inside physical stores. That reality becomes even more significant in an AI-driven world. If digital discovery becomes increasingly mediated by algorithms, retailers have fewer opportunities to shape customer perception online.

The physical store remains one of the few environments they fully control. Here, brands still control the experience. They control the atmosphere, the messaging, timing, context, service and ultimately, they control the moment of decision.

The store is no longer simply the final step in the customer journey. It is becoming one of the most important places to build trust, reinforce preference and influence behaviour. This changes the role of digital in-store communication. 

Screens are no longer just displays. They become intelligent communication touchpoints that adapt to context, customer behaviour and business objectives. The goal of in-store communication shouldn’t be to show more content. It should create more meaningful moments.

Measuring what actually matters

As AI reshapes both work and commerce, retailers face a choice. They can continue optimising for metrics that are becoming less representative of reality, or they can evolve their understanding of value.

Success will increasingly depend on measuring outcomes rather than activity. Therefore, retailers have to ask themselves the following questions: 

• – Did customers engage?
• – Did they remember?
• – Did they discover something new?
• – Did communication influence behaviour?
• – Did the in-store experience strengthen the brand?

These questions are harder to answer than counting clicks, but they are also far more meaningful.

Generating answers to these questions is where the future of retail communication lies. It’s not in producing more content, but in orchestrating better experiences and understanding how those experiences influence decisions across the entire customer journey.

The future belongs to better thinkers

Artificial intelligence is an extraordinary tool. It will continue to improve productivity, remove repetitive work and unlock new possibilities for retailers and brands alike. It will continue to surprise us in way we could hardly imagine a couple of years ago. And perhaps its greatest impact is this: It raises the value of distinctly human capabilities.

We’re talking curiosity, judgement, creativity, empathy, or strategic thinking. As AI makes execution easier, thinking becomes the scarce resource. Retailers don’t simply need more AI-generated content. They need a deeper understanding of how people make decisions in an increasingly AI-mediated world. Because as clicks disappear, influence becomes the new currency.

And the organisations that understand influence, not just automation, will be the ones that shape the future of retail.