Parenting and Education in the Age of AI

Preparing the Generation of Change

The birth of a child is always a source of happiness and joy, but it has also always come with a fundamental question: How do I prepare this child for the world? For parents of children born in this decade, however, the challenge is even greater, because the models and frameworks that worked until now will no longer be useful in the coming years. This leads us to understand that the answer no longer lies in learning a static trade or accumulating traditional academic degrees.

We are facing the first generation that will grow up in symbiosis with Artificial Intelligence (AI), which demands a complete redefinition of family, professional, and educational expectations, as well as urgent changes in paradigms and ways of thinking that are already obsolete.

The Paradigm Shift: From Memory to Agency

Historically, education and parenting were based on the transfer of information, whether at home or at school. In the age of AI, where knowledge is only a “prompt” away, human value shifts toward something some authors call agency. This is nothing more than the human ability to make decisions, direct technological tools, and apply ethical critical judgment. In other words: deciding what must be done, why it matters, and how to guide AI to achieve it with ethical and strategic criteria.

New parents must understand that their children, unlike us, will not compete against AI. They will coexist, grow, live, and, of course, work with it. For this reason, it is vital to understand that traditional social or family expectations must move away from the pressure of pursuing a “safe profession” — such as law, business administration, or accounting, all of which are now highly automatable — and instead focus on developing cognitive adaptability.

Professional Education: The Rise of the “Technological Polymath”

In the new, highly technological world that is emerging, it is essential to understand that, for new generations to thrive, professional education must be built around three fundamental pillars:

A) AI Literacy and Computational Thinking

Until now, we have spoken about digital illiteracy. Today, for new generations, it is no longer only about knowing how to use a computing device, but about understanding the logic behind the algorithms that make those devices work. The ability to break complex problems down into logical steps — computational thinking — will be as vital as knowing how to read or write.

B) The Value of “Human Skills”

As AI takes over technical tasks, what is intrinsically human increases in market value. Parents must encourage:

Emotional intelligence and empathy: Our ability to connect, negotiate, and lead work teams is something a machine can simulate but not truly possess. It is therefore one of the values and skills we must encourage. More than ever, we must recover the meaning of “being human.”

Critical thinking: In a world flooded with deepfakes and AI-generated content, the ability to doubt, verify sources, and question the truthfulness of any content will be the greatest professional defense. We must stop taking for granted everything we see, hear, and read. Instead, we must think about the interest or purpose behind every piece of “information” that reaches us and verify its accuracy before accepting and internalizing it.

Strategic creativity: This is not only about creating art, but about finding original solutions to problems that AI has not yet mapped. Let us remember that AI provides answers based on comparisons, integrations, or the consolidation of information generated by someone else. It is still not capable of innovating on its own. It does not yet have needs that force it to “imagine” solutions to satisfy them.

C) “Continuous-Cycle” Education

The idea of studying a 3-, 4-, or even 5-year degree and working in that field for life has, sadly, died. Yes, it sounds harsh, but it is real: we are already obsolete.

Parents must prepare their children for lifelong learning. The educational goal is no longer — and can no longer be — a degree, but the ability to quickly “learn how to learn and unlearn.” Or simply ask any recent college graduate how difficult it is to find a job, and how many end up entering the labor market thanks to certifications or technical skills unrelated to their university degree.

Transforming Educational Models Starting at the Basic Level

As we can infer from everything discussed so far, it is clear that the educational system — from preschool to university — must undergo deep structural changes.

From the “factory classroom” to the “project laboratory”: The model of rows of desks and a teacher lecturing is a remnant of the Industrial Revolution. Basic education must move toward project-based learning, where children solve real problems using technological tools, encouraging collaboration over individual competition.

Ethical and philosophical integration: From an early age, children must debate the ethics of technology and digital ethics. What does it mean to be human? What are the limits of automation? Philosophy must regain its central place in the curriculum in order to form citizens, not merely software operators.

Competency-based assessment, not grades: Traditional multiple-choice tests reward memory. The educational model must evaluate practical and operational competencies: Can the student synthesize information? Do they know how to work in a team? Can they solve a problem when their first solution fails? Do they have enough tolerance for failure and emotional intelligence?

To complement children’s education in elementary school, it is essential to select tools that not only use AI, but also encourage creativity, critical thinking, and digital safety.

1. Computational Thinking and Logic

These types of tools teach the foundations of programming and how machines “think” without requiring children to write complex code.

Scratch with AI extensions: MIT’s platform now allows simple Machine Learning blocks to be integrated so that children can train models to recognize their face or gestures.

Code.org: This interactive course allows children to teach an AI to identify trash in the ocean, learning about algorithmic bias and data training in a visual way.

2. Creativity and Visual Art

These tools are ideal for understanding image generation and the relationship between language and aesthetics.

AutoDraw by Google Creative Lab: This tool uses AI to guess what a child is drawing and transform it into a professional-looking illustration. It is excellent for understanding pattern recognition.

Quick, Draw!: This is a game in which a neural network tries to recognize the user’s doodles in seconds. It is a fun way to experience how a computer “learns.”

Canva Magic Studio, education version: This tool allows images to be generated from text, with strict safety filters for school environments.

3. Literacy and Storytelling

These are tools that act as “reading companions” or creative assistants.

Storywizard.ai: This tool allows children to create personalized illustrated stories. AI helps structure the story, but the child decides the plot twists and moral values.

Read Along by Google: This works as a kind of reading tutor that uses voice recognition to help children improve their verbal fluency, correcting pronunciation in real time with an animated character named Diya.

4. Science and Exploration

Seek by iNaturalist: This tool uses image recognition to identify plants and animals in the real world. It encourages children to go outside and use AI as a tool for scientific observation.

Note for parents: Although these tools are safe, the best practice in elementary education is constant guidance — no more cell phones as babysitters. Asking children, “Why do you think the computer chose that answer?” transforms play into a lesson in critical thinking.

The Role of Parents: The Home as an Incubator of Resilience

Within the family environment, expectations must focus on mental health and resilience. The pace of technological change can generate anxiety; therefore, the home must be the place where internal security is cultivated.

Parents must understand that direct and effective attention to their children will be essential in forming socialization skills and reinforcing human abilities. It will no longer be a “good idea” to leave children “in the care of electronic devices” simply to keep them “busy” and allow parents to remain “free” so they can continue their own uninterrupted connection.

Encouraging curiosity: Instead of limiting screen time as a punishment, parents should guide that time toward creation, exploration in the real world, and the development of analytical, critical, and creative skills.

Exposure to diversity: AI tends to create echo chambers, bringing users closer to — or encouraging — only content that aligns with their previous consumption habits, reinforcing only a certain line of information. As proof, simply review the suggested content lists of each member of a family: each one will have their own recommendations according to their consumption habits.

Parents have the mission of exposing their children to different cultures, languages, and ways of thinking in order to prevent algorithmic bias.

Conclusion: A Future of Collaboration

We must be very clear: AI is here to stay, and the world of the coming years will not even remotely be an extension of what we have known so far. The age of AI is not the end of human work, but the beginning of an era of greater creative potential.

Parents who are raising children from Generation Alpha and beyond should not seek for their children to be “better than machines,” but rather to be “deeply human.”

The best inheritance that can be left to a child in 2026 and in the next decade is not a savings fund or a property, but a flexible mind, unbreakable ethics, and the courage to reinvent themselves as many times as necessary.

Success in the future will not belong to those who know the most, but to those who know what to do with what they know in a world that changes every morning.

Would you like to continue the conversation? I invite you to connect with me on LinkedIn to exchange points of view on the future of work, innovation, and leadership in the digital age.

The full article was first published at:https://hersalvj.blogspot.com/2026/04/crianza-y-educacion-en-la-era-de-la-ia.html

Written by: Víctor Jesús Hernández Salinas