Parents: A valuable source of AI intelligence

If you want to understand where AI-assisted parenting is headed, skip the research lab and look into a messy living room at 2 a.m. Some of the most revealing use cases are happening in the homes of AI engineers who have just become parents.

Few environments are more demanding: high stakes, low sleep, a never-ending stream of split-second decisions with imperfect information. No mom or dad (us included) has patience for a tool that adds friction, noise, or guilt to the daily gauntlet of childcare. It is why parents—especially those who build products—are a valuable and overlooked source of AI product intelligence today.

Consider Daanish Masood. When his young son was with him, he was on his own. He didn’t have a partner to share the day-to-day weight of early parenthood. What he did have was deep technical fluency and an urgent need for practical solutions. Daanish built his own AI, trained on child development research and philosophical texts as varied as Rumi and the Tao Te Ching. The result was “Robot,” an agent that could suggest age-appropriate outings, help with meal plans, and generate new chapters in an original epic space odyssey that became a fixture of their shared bedtime routine.

The name, Robot, was intentional—a constant reminder that this was not a human being. It was a chance to talk about what it means to be human. Daanish and his son used Robot together, asking questions like how to dress up as a black hole for Halloween, enriching their interactions, not replacing them. When Robot got things wrong, those mistakes became lessons about the limits of technology, and the role of human judgment. In parenting, as in so many parts of life, optimization isn’t about how much AI can do for us, but how it helps us show up.

AI TO SUPPORT PARENTS AND KIDS

The same dynamic emerges in companies built by founders who experienced parenting struggles firsthand. Soon after Luis Garza became a father, he realized, like most parents, that he was flying blind during the most neurologically critical years of his child’s life. He built Kinedu, an AI-powered app that supports new parents in their role as their child’s first teacher. What began as a founder solving his own parenting challenge has grown into a global platform—raising more than $18 million and reaching 19 million users.

Then there’s Carla Small, whose son struggled to read but didn’t receive specialized support until second grade. She built EarlyBird, a game-based assessment tool that uses AI to detect potential reading challenges like dyslexia before children enter school. Developed with cognitive neuroscientist Nadine Gaab, the platform reflects a simple but powerful insight: We start learning the foundations of language in utero. Now families and educators can identify reading challenges that traditional institutions often miss. Increasingly, policy is catching up. Screening legislation has recently changed in many U.S. states. Product followed lived experience, and policy followed.

PROXIMATE EXPERTISE

Taken together, these stories are strong signals from one especially instructive group: people close enough to both the technology and the problem. The social innovation world calls this “proximate expertise”—the unique perspective that comes from having lived inside the problem you’re trying to solve. Parents are navigating AI’s greatest promise (expanding human potential) alongside its deepest risk (eroding human agency and trust). They’re making those tradeoffs every day, with their favorite small human impacted by the outcome.

Parents can bring this uniquely proximate expertise to the lab. They will question guilt-based nudging, resist information overload disguised as innovation, and think hard about unintended consequences—present and future. They can also illuminate what must remain unmistakably human in what they refuse to delegate: comfort, moral judgment, presence, and the relational work of raising a child. The hacks they develop in the middle of the night may be someone else’s product roadmap; their design constraints may be the policy guardrails we’ve been missing.

Parenthood is humanity’s oldest operating system. It runs on minimal sleep, continuous improvisation, and an unrelenting real-time feedback loop: cry, adjust, repeat. Innovation under constraint at its best. Parents who also happen to be AI engineers, product designers, and founders can shape how we build, regulate, and deploy intelligent systems that are better for everyone.

The best beta testers are putting their kids to bed.

Hala Hanna is executive director of MIT Solve. Michael Feigelson is CEO of Van Leer Foundation.

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