While Silicon Valley pours billions of dollars into developing artificial intelligence agents designed to shop on behalf of consumers, the retail visionary who helped build Apple’s iconic store network believes the tech industry is severely overestimating how much shopping people are actually willing to hand over to machines.
Ron Johnson, the 66-year-old retail veteran, has heard sweeping predictions about the imminent demise of physical retail before. He joined Apple back in 2000 to spearhead its retail business precisely as online shopping was beginning its explosive ascent. Alongside Steve Jobs, Johnson went on to construct a physical store network that eventually became a cultural and commercial cornerstone for how Apple sells its hardware and builds lasting connections with its consumer base.
Today, as generative AI reshapes the tech landscape, Johnson remains deeply skeptical about the true scope of fully automated purchasing. “AI is a new technology that will improve the online shopping experience,” Johnson said in a recent interview. “But I don’t know that it’s going to change which way we shop.”
The Push Toward Agentic Commerce
Johnson’s cautious perspective arrives at a moment when the world’s most powerful technology companies are attempting to weave artificial intelligence deeper into the fabric of everyday retail. Industry giants are banking on the concept of "agentic commerce"—a paradigm where autonomous AI agents automate the burdensome process of researching, discovering, and ultimately purchasing items for consumers.
Google, for instance, has been actively pushing this vision forward with its Universal Commerce Protocol, a newly introduced standard designed to seamlessly facilitate consumer transactions driven entirely by AI agents from product discovery all the way to checkout. Meanwhile, OpenAI has aggressively upgraded ChatGPT by introducing robust shopping features, effectively turning the conversational chatbot into a standalone shopping destination where users can research, compare prices, and occasionally buy products directly within the application interface without ever navigating to a traditional e-commerce website.
Yet, when asked whether he could realistically envision a scenario where a consumer would willingly grant an AI agent total autonomy to select and purchase a high-ticket item, such as a $1,000 or $2,000 laptop, entirely on their own without ever visiting a website or stepping foot inside a physical store, Johnson was unequivocal in his rejection of the idea.
“Honestly, nobody’s going to do that,” he stated plainly.
The Limits of Automation for Personal Purchases
Buying a sophisticated, expensive item like a laptop, Johnson argued, is inherently too personal and tactile a purchase to simply delegate entirely to an impersonal software agent. Prospective buyers naturally want to physically experience the product before parting with their money—they want to feel its physical weight in their hands, evaluate the clarity and color accuracy of the display, and physically test out the keyboard to determine which size and configuration best suits their daily needs.
While Johnson acknowledges that AI can successfully narrow down overwhelming consumer choices and streamline preliminary research, he emphasizes that the human desire for physical interaction remains undefeated. “AI will never be able to have you physically experience a product,” Johnson told TechCrunch.
Rather than eliminating physical retail entirely, Johnson anticipates that AI agents will fundamentally alter how consumers prepare for a shopping trip. Instead of walking into a store completely blind, customers will leverage AI to educate themselves beforehand, ultimately resulting in a more sophisticated and discerning retail clientele. “They’ll just become more informed shoppers when they come to the store,” he noted.
The Human Element Behind Apple’s Success
Johnson’s unshakeable conviction regarding the endurance of brick-and-mortar retail stems directly from a strategic bet that Apple made more than two decades ago. When Apple set out to design its physical stores, the objective was never merely to create a conventional storefront to move Mac computers. Instead, the spaces were meticulously engineered as community hubs where everyday people could freely touch and play with products, learn practical skills on how to use them, and return whenever they needed troubleshooting or customer support.
These foundational retail strategies are revisited in detail within Johnson’s book, Shop Different: How Retail Revealed Apple’s Genius, which chronicles his experiences building Apple’s groundbreaking retail operations alongside Steve Jobs. Over the years, numerous retail competitors attempted to copy visible elements of Apple’s blueprint—adopting glass-heavy architectural designs, wide-open floor layouts, and even attempting to replicate the legendary Genius Bar. However, Johnson points out that these imitators frequently missed the most vital component of the equation: the people.
“The secret sauce for Apple has always been its people, the people in the store, and how they treat the customer,” Johnson explained.
A critical aspect of this philosophy was dismantling traditional retail sales incentives. Apple Store employees, unlike their counterparts across the broader retail and consumer electronics industries, are never paid on commission. The deliberate decision to remove commission-based pay structures was designed to entirely eliminate high-pressure sales tactics. Instead of pushing merchandise to hit quotas, Apple employees were free to focus on diagnosing what the customer actually needed.
Lessons Learned from J.C. Penney and Enjoy Technology
Following his high-profile tenure at Apple, Johnson’s career took a dramatic turn in 2011 when he left the tech giant to take over as the chief executive of J.C. Penney. His ambitious mandate was to completely reinvent the struggling, traditional department-store chain for a modern era. However, the experiment ended abruptly when he was ousted from the company less than two years later after sales experienced a disastrous plunge.
Reflecting on that turbulent period, Johnson candidly admitted that he attempted to change far too much, far too quickly, without adequately bringing the existing employee base and loyal customer demographic along for the journey. He observed that Apple’s retail stores had effectively functioned as a nimble startup that organically evolved in tandem with the company’s hardware lineup. J.C. Penney, by contrast, was a massive corporate turnaround that demanded an entirely different operational playbook.
“I applied a startup mentality to what needed to be a turnaround transformation,” he recalled.
Years later, Johnson returned directly to the startup ecosystem by founding Enjoy Technology, an innovative e-commerce venture designed to bring consumer technology products and professional setup services directly to people’s doorsteps and living rooms. Despite its creative premise, the startup struggled to achieve sustainable financial footing, ultimately filing for bankruptcy in 2022 and selling off substantially all of its core assets to Asurion.
Remaining an AI Optimist
Despite his skepticism regarding Silicon Valley’s grand ambitions to automate the entire consumer shopping journey, Johnson maintains a firmly optimistic outlook on artificial intelligence as a foundational technology.
“I’m a real believer in AI. I’m an AI optimist,” he affirmed.
Reflecting on the legacy of his late mentor, Johnson believes Steve Jobs would have embraced the potential of artificial intelligence as well, though he maintains that Jobs would have firmly rejected the notion that software can ever replace genuine human judgment and creativity.
“There’s no substitute for human intuition,” Johnson said, recalling Jobs’ enduring belief in the power of bringing smart, diverse groups of people together to rigorously debate complex problems and discover entirely new ways of looking at the world.
