Neuroscientist and AI researcher Vivienne Ming argues that the education system's focus on memorization, rule-following, and standardized testing is preparing children for jobs that will soon no longer exist, and she has a plan for what to do instead.
Ming, who has spent three decades in machine learning, published her book "Robot-Proof: When Machines Have All the Answers, Build Better People" on Mar. 23, 2026. In a CNBC article the following day, she made her case: the skills most schools prioritize are exactly the ones AI is already replacing.
"Everyone talks about AI and soft skills, yet companies still hire for elite degrees, and schools still teach to the test," Ming wrote. This approach trains children to follow instructions and recall facts, tasks that large language models now handle in seconds, according to CNBC.
The Problem With Current Education
Ming's concern is backed by growing research. A January 2026 report from the Brookings Institution found that the risks of using generative AI in children's education currently outweigh the benefits. The yearlong study consulted over 500 people across 50 countries and reviewed more than 400 academic studies.
The report described a troubling cycle: students increasingly hand off their thinking to AI, leading to declines in knowledge retention, critical thinking, and creativity. One student put it bluntly: "It's easy. You don't need to use your brain."
Rebecca Winthrop, senior fellow at Brookings, warned that when kids use AI to shortcut assignments, "they are not thinking independently. They are not learning to discern truth from fiction."
Ming sees the same pattern. Her research across thousands of learners shows that exploration and failure lead to deeper learning than repeating correct answers. But the current system, fixated on correctness, tells students failure reflects their worth rather than serving as a path to growth.
Read more: AI Toys for Young Children Need Tighter Rules Over Risks To Emotional Wellbeing, Researchers Warn
What To Teach Instead
Ming's approach centers on "robot-proof" capabilities, skills machines cannot replicate. These include creativity, curiosity, resilience, and the ability to tackle complex problems with no clear-cut answers.
Her research found that high-achieving students show a greater willingness to make mistakes. That shapes how she raises her own children. She describes her home as a space designed to spark curiosity; one corner is her son's electronics lab, another is her daughter's painting area, and the gazebo whiteboards are covered with equations and unfinished projects.
She recommends families create a "Failure Resume," a monthly tradition where everyone shares something they failed at and discusses what they learned.
How Kids Should Use AI Without Depending On It
Ming says kids should never let AI dictate the final answer. They should use it for brainstorming while producing their own work first.
She introduces a technique called the "Nemesis Prompt." After a child creates something, they ask an AI to critique it. The child then evaluates those critiques, deciding which are valid and which are noise from a machine that does not fully understand their intent. This turns AI into a sparring partner, not an authority.
"The world already has the correct answers, often available at no cost," Ming wrote. "The true value your child brings lies in the unique insights they can provide."
Research supports this direction. A study by Nord Anglia Education and Boston College, covering 29 schools in 20 countries with over 12,000 students, found that teaching students to understand how they learn strengthened collaboration by 72 percent, curiosity by 70 percent, and creativity by 69 percent, the Nord Anglia Education reported.
The Bigger Picture
Harvard psychologist Howard Gardner has called AI the most fundamental change to education in 1,000 years. He believes that by 2050, cognitive skills like disciplined thinking and creative reasoning "will be done so well by large language machines that whether we do them as humans will be optional." What will still matter, he argues, are respect for other people and ethics, as per the Harvard Gazette.
Ming's message is straightforward: stop preparing kids to compete with machines, and start raising them to do what machines cannot.
