The Two Thinking Styles in the AI Era: Are We Overlooking the Holistic Thinkers? ???
Rodrigo Estrada
Master of Science Distributed and Parallel computing | Data Engineering | Platform Engineering
In the realm of cognitive diversity, everyone has the capacity for both analytical and holistic thinking. However, for most people, analytical thinking—which involves processing information in a detail-oriented, sequential manner—comes more naturally and requires less effort. A minority—estimated between 10% and 30%—finds holistic thinking more intuitive, perceiving patterns, connections, and overarching ideas before focusing on specifics. This distinction makes sense from an evolutionary perspective: until recently, analytical thinking was far more useful for survival, enabling problem-solving in immediate, tangible situations, while holistic thinking had less direct survival value. But in today’s world, the balance is shifting.
?? What’s the Difference?
?? The Modern System: Built for Analytical Minds Our education systems, merit-based assessments, job interviews, and corporate performance reviews overwhelmingly prioritize analytical skills.
For most people, developing abstract reasoning and holistic thinking requires effort. But for those who naturally think holistically, the challenge is reversed—forcing them into a rigid analytical framework can be frustrating and counterproductive. And yet, instead of recognizing this as a cognitive strength, many holistic thinkers are miscategorized as unfocused, distracted, or even academically challenged.
?? A Personal Story My daughter is a natural holistic thinker. She never had trouble in school, but because her thinking pattern didn’t align with traditional teaching methods, she was labeled as distracted and was even recommended for a special education program.
We didn’t change her school. And guess what? She thrived. Without needing extensive study sessions, she achieved top results. When necessary, she could focus on specifics, but her natural ability to process vast amounts of abstract knowledge became a key advantage.
?? Welcome to 2025: The Age of Assisted Thinking
Historically, detailed factual knowledge was a significant advantage—especially in fields like programming, engineering, and law. But today, with search engines like Google and advanced LLMs (Large Language Models), knowing specifics isn’t the competitive edge it once was.
Instead, the ability to navigate, connect, and apply knowledge abstractly is becoming far more valuable. AI assistance allows holistic thinkers to leverage vast amounts of information efficiently, giving them an advantage over those who rely solely on concrete details.
?? Rethinking the Future: A Shift in Cognitive Priorities For decades, we’ve focused on developing analytical thinking because it was the dominant style and a necessity. But now, it’s time to rethink our priorities:
?? Holistic Thinkers vs. T-Shape & Fork-Shape Models In software development, the T-Shape model has been widely used to define strong professionals—those with broad knowledge but deep expertise in a specific area. However, this still relies on a concrete knowledge foundation. Later, the Fork-Shape model emerged, representing high performers or "10x engineers"—individuals who achieve deep expertise in multiple areas.
Holistic thinking doesn’t work that way. These individuals naturally struggle with deep, concrete specialization. Instead, they reach a competent level in one area, then shift to another, simply because it is more difficult for them to go into deep detail. This is the opposite of the common tendency in most people, who resist change because it’s easier to go deeper into specifics than to start something new—we might call this “resistance to non-change”. Over time, holistic thinkers build a vast but balanced level of competency across multiple domains. They are not necessarily geniuses in one field, but in complex, interdisciplinary environments, they can momentarily perform at genius levels due to their ability to integrate and connect knowledge across domains.
This is not about intelligence—both analytical and holistic thinkers can be highly intelligent. However, a highly intelligent holistic thinker could become a hybrid powerhouse, reaching a high level of competency in multiple areas while retaining the ability to synthesize across disciplines, making them invaluable in complex problem-solving scenarios.
?? Holistic Thinkers: The Leaders of the AI Era Holistic thinkers are often good at everything but masters of none, preferring breadth over depth. In the past, this might have been seen as a disadvantage, but in a world where AI can fill in the details, it’s an incredible strength.
?? The future belongs to those who can adapt, integrate knowledge, and lead change. Who better than holistic thinkers to guide the transformation?
AI-Driven Hiring & Tech Leadership | Director of Software Engineering at XE
1 周Thank you for sharing the link to this interesting read Rodrigo Estrada. At work, I’ve noticed that team members who can navigate some level of ambiguity—especially in complex systems—tend to be stronger developers and leads. Would this be considered holistic thinking?
Profesional de Soluciones de Virtualización en Microsoft | Ingeniero Civil Informático
1 周Muy bueno. Creo que hemos tenido conversaciones largas sobre esto y estoy 100% de acuerdo contigo.