Simon Hodgkins
Why AI Efficiency Could Destroy Value with Simon Hodgkins Ep 284 - The Global Discussion
In this solo episode of The Global Discussion, Host Simon Hodgkins explores one of the most important business conversations of our time: whether our relentless pursuit of efficiency is quietly destroying the very value organizations are trying to create.
Artificial intelligence is rapidly transforming industries, promising faster processes, lower costs, and greater productivity. While these benefits are undeniable, Simon challenges listeners to consider a deeper question: what happens when efficiency becomes the primary objective?
Drawing inspiration from the work of Rory Sutherland and observations from today’s business landscape, Simon examines how organizations may be optimizing for measurable outcomes while overlooking the human factors that truly drive loyalty, trust, and brand value.
The Efficiency Obsession
Businesses across industries are embracing AI to streamline operations, reduce costs, and improve productivity. Boardrooms are increasingly focused on measurable gains such as automation rates, workforce efficiency, and operational savings.
While these objectives make sense from a financial perspective, Simon argues that they represent only part of the equation. Organizations often focus heavily on reducing costs and avoiding risks while giving less attention to innovation, creativity, and customer experience.
The danger is not efficiency itself. The danger lies in pursuing efficiency without considering what may be lost along the way.
The Doorman Fallacy
One of the most compelling examples discussed is what Rory Sutherland describes as the “Doorman Fallacy.”
A hotel doorman’s job may appear, on paper, to be simply opening a door. Replacing the doorman with an automatic door yields a measurable efficiency gain for the organization.
However, what disappears is much harder to quantify:
The personal greeting
Recognition of returning guests
A sense of hospitality
A signal of quality and care
These seemingly small interactions shape customer perceptions and influence brand value, yet they rarely appear in performance metrics or spreadsheets.
Simon suggests that similar patterns are emerging across retail, customer service, marketing, and digital experiences as organizations increasingly automate customer interactions.
What Are We Losing?
Modern businesses are exceptionally good at measuring operational improvements.
Metrics such as productivity gains, cost reductions, and automation percentages provide clear evidence of progress. Yet some of the most important drivers of long-term success remain difficult to measure.
Trust.
Experience.
Emotion.
Memory.
These factors influence customer loyalty and brand affinity but often develop slowly and resist easy quantification.
Simon highlights research suggesting that customer perceptions are often shaped more by human interactions than by operational excellence. A friendly employee can have a greater impact on customer sentiment than years of investment in systems and processes.
Discovery Versus Efficiency
A key distinction explored in the episode is the difference between efficiency-driven organizations and discovery-driven organizations.
An efficiency-driven business asks:
“How can we do the same thing more cheaply?”
A discovery-driven business asks:
“What new value can we create?”
While AI can support both approaches, Simon observes that most organizations currently use it primarily as an efficiency tool. The larger opportunity may lie in using AI to discover new possibilities, uncover unmet customer needs, and create entirely new forms of value.
The Three Stages of AI Adoption
Simon outlines a useful framework for understanding how organizations typically adopt transformative technologies:
Phase One: Automation
Businesses streamline existing processes, reduce friction, and improve efficiency.
Phase Two: Experience Enhancement
Technology is used to improve customer experiences and create differentiation.
Phase Three: Reinvention
Organizations redesign their business models and operating systems around the capabilities of new technologies.
According to Simon, most companies remain firmly in Phase One of AI adoption today. The greatest opportunities may still be ahead for organizations willing to rethink how they create value altogether.
Why Different Can Be More Valuable Than Better
One of the most thought-provoking ideas discussed is the growing importance of differentiation.
As AI tools become widely available, many processes and outputs risk becoming standardized. Customer service, content creation, and operational workflows may begin to look increasingly similar across organizations.
In this environment, businesses that create distinctive experiences may gain a significant competitive advantage.
The brands that stand out may not necessarily be those that optimize the most aggressively. Instead, they may be the organizations that deliberately preserve elements of humanity, creativity, and surprise within their customer experiences.
The Continuing Importance of Human Judgment
Simon emphasizes that AI is fundamentally a tool for optimization. It excels at identifying patterns, analyzing data, and improving existing systems.
However, breakthrough growth often comes from challenging assumptions rather than optimizing them.
Human judgment remains critical because people can recognize opportunities that data alone may not reveal. They can understand emotional context, customer perception, and the nuances of human behavior.
The future is unlikely to be a choice between humans and AI. Instead, success will come from combining AI’s analytical strengths with uniquely human insight and creativity.
A More Thoughtful Approach to AI
Simon is not advocating for slower AI adoption. Quite the opposite.
The opportunities created by artificial intelligence are too significant to ignore.
Instead, he encourages leaders to ask more thoughtful questions:
Can we automate this?
Should we automate this?
What are we optimizing for?
What value might be lost?
What value could be created?
Organizations that thrive in the coming decade may not be those that deploy AI most aggressively, but those that deploy it most thoughtfully.
A Thought to Leave With
As AI continues to reshape business, the challenge is not simply doing things more efficiently. The challenge is ensuring we continue doing the right things. Efficiency can create tremendous value, but it can also quietly erode the human experiences that make brands memorable and meaningful.
Simon leaves listeners with a powerful reminder:
“AI will make it easier than ever to do things right. The real challenge will be in making sure we’re still doing the right things.”
About The Global Discussion
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