March 24, 2026
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
A man was walking along the beach when he noticed a young boy apparently picking something off the ground and throwing it out into the sea. As the man got closer to the boy he saw that the objects were starfish. Ans the boy was surrounded by them. For miles and miles all along the shore, there seemed to be millions of them.
“Why in the world are you throwing starfish into the water?” he asked the boy as he approached.
“If these starfish are on the beach tomorrow morning when the tide goes out, they will die”, replied the boy, continuing with his work.
“That’s ridiculous!” cried the man. “Look around you. There are thousands of miles of beach and millions of starfish. How can you believe that what you are doing could possibly make a difference?”
Artificial intelligence (AI) has moved rapidly from the fringes of technological experimentation into the centre of our daily lives. You now encounter it when you are writing emails, analysing spreadsheet data, searching for information on the internet, getting caricatures for your socials and increasingly when communicating with organisations that once relied entirely on people. From automated customer support to intelligent content generation, AI systems are now capable of producing communications that resemble human conversation with impressive fluency.
While technological capability continues to advance, an equally important discussion is slowly emerging amongst people like you, around the value of genuine human interaction (HI). What happens when human communication itself is gradually replaced?
Of course, there is a place in our fast paced world for AI. AI systems can process information instantly and respond to thousands of queries simultaneously, from a commercial perspective, these advantages are compelling. Businesses see reduced operational costs, faster response times and the ability to scale services in ways that were previously impossible. In environments where language exchange is transactional such as booking systems, information requests or basic customer support, AI tools can deliver remarkable performance.
Let’s look at the AI v’s HI conundrum from a fundamentally different perspective. NLP recognises that communication is not simply the exchange of words, It’s the transmission of meaning shaped by perception, emotional state and individual experience. When you communicate with another person, multiple layers of interaction occur simultaneously contained in your tone of voice, physiology, pacing, sensory language and unconscious processing that all influence the outcome, your behaviour.
AI systems, regardless of sophistication, operate primarily at the level of linguistic structure. They recognise patterns in text or speech and generate responses based on the grammatical relationships between words. While this can simulate conversation, it does not replicate the deeper psychological processes involved in human communication.
When speaking with a human being, with rapport, you can sense whether the person understands your communication beyond the words being spoken. A skilled communicator adjusts their tone of voice, pacing and language to match your emotional state, aligning naturally with another person's representational systems and language patterns. It’s a dynamic, adaptive process that evolves moment by moment during every conversation.
Over time, widespread reliance on AI-driven communication risks reducing interactions to functional exchanges rather than meaningful connections. While this may appear to be a minor cultural shift, its long-term implications could be significant.
Human communication plays a critical role in childhood psychological development and growth. Through dialogue, you learn empathy, negotiation and emotional intelligence. For example, NLP highlights the way internal beliefs and behavioural strategies are shaped by language and communication that occurs during human interaction. When you interact with others, you constantly refine your internal map of how people think, feel and the psychology of response.
If future generations consistently interact with devices rather than people, their developmental process may change in major ways. Young people may grow accustomed to communication environments where responses are immediate, predictable and tailored to their preferences. AI systems are typically designed to minimise friction, resolve queries quickly and provide structured answers. Human conversations, by contrast, involve uncertainty, disagreement and emotional nuance. These more complex elements of communication are precisely what develop resilience and interpersonal skill. When individuals learn to interpret tone of voice, negotiate misunderstandings and respond to emotional signals, they build the foundations of social competence. Without regular exposure to these challenges, future generations may find human interaction more demanding than digital communication.
From an NLP standpoint, modelling is an essential aspect of learning. NLP was originally developed by the study of exceptional people who demonstrated a grasp on communication and behavioural effectiveness that was unparalleled in the day. By observing and modelling their patterns of thinking, language and behaviour, others could learn to replicate their successful strategies and language patterns. This process relied heavily on real human observation and interaction.
If communication environments become dominated by artificial systems, opportunities for modelling skilled human communicators may diminish. Young professionals may encounter fewer examples of effective negotiation, persuasion or empathetic listening in everyday contexts. Instead, communication may increasingly resemble structured prompts and automated replies rather than natural dialogue.
There are also implications for how individuals construct their internal representations of reality, their map of the world. Language shapes perception and the words people use influence how their experiences are interpreted and remembered. When communication is mediated primarily through algorithmic systems trained on historical data, there is a risk that linguistic diversity and creative expression become substantially constrained.
We are creative beings, after all, we have created AI! Human interaction produces unexpected insights and new ideas emerge through natural dialogue, disagreement and collaborative exploration. AI systems, however advanced, operate within the boundaries of their programmed objectives. While they can recombine existing information in sophisticated ways, they don’t possess the lived experience that often drives genuine conceptual breakthroughs. Yet!
You may also observe a shift in responsibility within a communication that is dominated by AI. When a person gives advice or guidance, there is a clear source of accountability. If misunderstandings occur, they can be clarified through further conversation, the meaning of your communication is the response you get. With AI, when errors occur, responsibility can become unclear, creating frustration and reducing trust.
Companies that rely heavily on AI may unintentionally distance themselves from their stakeholders. Trust is only strengthened when individuals feel heard and understood and removing human interaction from these environments risks weakening that sense of connection.
Please understand, I am in no way suggesting that AI should be rejected. AI tools offer enormous potential for improving productivity and analysing complex data. In many contexts it will free professionals from repetitive tasks, allowing greater focus on strategic thinking and interpersonal engagement. The challenge lies in determining where AI enhances human capability and where it begins to replace essential human functions.
A balanced approach would integrate AI as a supportive tool while preserving human interaction. In education, for example, technology can provide personalised learning resources while teachers continue to guide emotional development and social learning. In healthcare, AI can assist with diagnostics while medical professionals maintain the empathetic relationships that support patient wellbeing.
NLP reminds you that communication is more than information exchange, it’s the process through which you influence, motivate and understand others. We were meant to live in community, evolving as an interactive species. We were never meant to exist in isolation from each other, with technology as the only connecting bridge.
The long-term consequences of reducing human interaction are, as yet, unclear and should be carefully considered by all of us. Efficiency can’t replace the psychological and social functions that human conversation provides.
You stand at a moment when technological progress offers extraordinary possibilities. The question is whether societies will preserve the interpersonal environments that allow human communication skills to continue to develop and flourish.
Now, here’s the important point, future generations will inherit the communication systems that you build today. If those systems prioritise AI at the expense of human interaction, the capabilities that underpin empathy, rapport and communication will gradually weaken. Consider that protecting authentic human interaction may be essential not only for social cohesion, also for the continued development of effective, emotionally intelligent individuals in an increasingly automated world.
The young boy picked up another starfish, paused thoughtfully and remarked as he tossed it out into the waves, “It makes a difference to this one.”
What you do next matters.
The Star Thrower Metaphor was originally written by Loren Eisley, an American anthropologist.
%20-%20RGB%20-%20web.jpg)