
Agentic AI,
AI,
CX,
Customer experience,
customer support,
Automation,
Published on Thu Feb 26 2026
Updated on Thu Feb 26 2026
6 minute read
You have heard the buzz: AI is racing toward superintelligence, and it’s going to change everything. But for CX professionals, this narrative often feels disconnected from the day-to-day work of improving customer service and satisfaction. While the pursuit of Artificial General Intelligence (AGI) is fascinating, the true AI revolution is already happening in how we analyze data, personalize interactions, and streamline operations. Let's analyze and explore the two parallel tracks of AI development and see why the most advanced AI isn't always the most useful for your customer experience strategy.
The core issue is that we are talking about two very different things under the same ‘AI’ umbrella. On one hand, we have practical, narrow AI —the tools that find patterns in data, summarize vast amounts of text, or streamline a specific task. The recent case study of EasyPark Group, which used a Google Cloud solution to make sense of disparate data, is a perfect example of this.
On the other hand, we have the moonshot ambition for Artificial General Intelligence (AGI) and Artificial superintelligence (ASI) —a technology that would be as, or more, intelligent than humans. The aim of companies like Meta is to develop technology that achieves general human-level intelligence (AGI) or surpasses it. The headlines often confuse the two, but for business leaders, the distinction is critical.
Here is a recent example of this from the EasyPark Group. The company is based in Stockholm, but now has operations in over 25 countries and 4,000 cities. EasyPark helps drivers find and pay for parking all over the world.
The company expanded rapidly and often entire country units were blended into the service through acquisition. This led to information about the group being in many different formats, in many different databases, and with nothing connected.
They used a Google Cloud solution to just drop all the data from every part of the business into a large language model (LLM). Now any EasyPark manager can query the system and a response will be created by AI, using all that training information.
This is a great case study of a company being overwhelmed by information and using AI to find the patterns, to find the insight. This is exactly where AI can be useful today. It drives up productivity and helps us to make sense of vast amounts of information.
There will have been no precedent in human history. In fact, if we develop a technology that is more intelligent than humans then it may be the last ever human-made invention, because further developments will be led by the AGI.
We have seen technology changing society in the past. The introduction of the PC - in particular the PC with business tools like spreadsheets. The introduction of email and mobile phones in the 90s. The move to smartphones and social media. All these technologies changed how people worked, lived, and communicated, but the ambition for superintelligence goes further.
Because all these earlier technologies were just tools used by humans, but how will humans transition to a world in which their labor is almost worthless because the tech is already smarter than the people?
This is the challenge. We will be decoupling the idea of income from labor, therefore the economic necessity of most professional work collapses. The economy as we know it would change dramatically as labor costs are almost eliminated in many industries. Taxation in most countries is mainly based on income, so this would need to completely switch to a tax on capital, consumption, or a tax on the use of AGI - taxing the virtual workers. There may even be a ‘Brave New World’ where most people engage with the AGI, but there is the creation of an underclass that cannot afford to engage with the technology.
The rush to superintelligence is about much more than our current use of AI and should not just be presented as a “better” form of the AI we know today. Achieving AGI or Artificial superintelligence will not just lead to greater productivity, it will change our entire society - how we work and spend our time. However, the real outcome will depend less on the AI technology itself, and more on the governance, values, and foresight of those building and deploying it.
While the pursuit of AGI captures the imagination, the real-world impact of AI in Customer Experience (CX) today lies in its specialized, narrow applications. Focusing on the practical over the theoretical is key to developing a successful strategy. The most advanced AI isn't always the most useful because its most valuable applications aren't necessarily about "human-level" intelligence, but about speed, scale, and insight.
For CX professionals, the power of AI is found in:
Speed: real-time human enhancement.
AI tools can dramatically accelerate customer interactions, reducing friction and improving first-call resolution. They empower your human agents to be faster and more effective by handling the technical and repetitive parts of the job.
Scale: effortless expansion.
AI allows you to grow your CX operations without a proportional increase in costs. It provides a flexible and scalable foundation to manage high volumes and global demands.

Created at Thu Sep 17 2026
6 min read
Something happens when a technology concept outpaces the terminology we have to describe it. Across the customer experience landscape, vendors start applying the same label to wildly different things. For instance, industry leaders start buying into the AI label instead of its real operational capability. And somewhere between the pitch deck and the production environment, the real question gets lost: does any of this actually address a real operational need? Agentic AI has reached that stage.
Insight: turning data into action.
The most valuable asset an AI can provide is not automation—it's intelligence. These tools analyze every interaction to give you the actionable insights you need to improve your business.
The challenge lies in keeping the right balance. Over-reliance on automation can create a frustrating, impersonal experience for customers, as seen in some high-profile cases where companies had to reverse their all-in AI strategies. The most effective CX strategies use AI to improve the agent's ability to serve customers. The future of AI in Customer Experience isn't about creating an all-knowing machine, but about building a seamless partnership between technology and human empathy.
In the end, the transition from a labor-driven to a meaning-driven society will be the true challenge - not just economic, but philosophical. Are we really ready to move into a new chapter of AI?

Created at Fri Sep 11 2026
3 min read
This is an interesting thought experiment that is worth exploring for anyone involved in buying or selling enterprise services. Think about two companies in your industry that essentially offer the same services, but in an entirely different way. Banking is a good example. There are several European banks that have been continuously operating for almost 300 years. You can imagine how some of these bank branches look. I

Created at Fri Sep 11 2026
16 min read
When a single negative interaction sends more than 50% of customers to a competitor, CX is make-or-break for every brand. From goal and lever metrics to leading and lagging indicators, experience stats like customer satisfaction (CSAT) and net promoter score (NPS) to efficiency measures like average resolution time, team health factors, and even AI-powered customer service KPIs, learn everything you need to track to assess your customer