Let Grow

In the AI Story

The organization's signature intervention is the Let Grow Project: teachers assign students to do one thing on their own — walk to a store, cook a meal, ride a bike alone — that they have never done before, with parental permission. The assignment is small by design. Its purpose is not to produce measurable academic gains but to produce mastery experiences in a population that has been systematically denied them. The pattern documented across pilot sites is consistent: parents are surprised, children are proud, and both report increased confidence in the child's capabilities.

Play Clubs are the second major intervention: unsupervised, mixed-age play periods held at schools during non-academic hours. The design is deliberate. Schools are among the few physical environments where American children reliably gather without adult direction; by providing time and space for genuine play within that setting, Play Clubs restore the social and cognitive benefits of unstructured interaction without requiring parents to independently organize it. The research partnership with Peter Gray's team has tracked outcomes in self-efficacy, peer-conflict resolution, and reported anxiety.

The legal work is less visible but more consequential. Let Grow has partnered with state legislatures to pass "Reasonable Childhood Independence" laws — statutes that clarify when leaving a child unsupervised constitutes neglect, providing protection for parents who make evidence-based decisions about their children's autonomy. The laws do not mandate free-range parenting; they protect it from prosecution. The distinction matters because, as Skenazy documented through a decade of parental cases, the threat of CPS investigation has chilling effects on parenting that individual conviction cannot overcome.

The AI-age application is under active development. Let Grow has produced parent and teacher guides for navigating AI in schools; the methodology is consistent with its broader approach: small pilots, evidence collection, iterative refinement. The organization's perspective on AI detection software and school AI bans has been critical but pragmatic — arguing for the scaffolded-autonomy approach rather than blanket permissiveness, and documenting cases where prohibition has produced measurable developmental harm.

Origin

The organization emerged from the convergence of three intellectual projects: Skenazy's free-range journalism, Peter Gray's research on the decline of play, and Haidt's documentation of iGen's anxiety epidemic. The 2017 founding formalized the collaboration that had already begun through The Coddling of the American Mind.

Key Ideas

Small interventions at scale. The Let Grow Project model demonstrates that restoring specific experiences of autonomy produces measurable gains without requiring parents to overcome cultural pressure alone.

Legal scaffolding. Reasonable Childhood Independence laws show that the regulatory environment shapes what parenting is possible; the same principle applies to school AI policy.

Evidence-based methodology. The organization's approach — pilot, measure, refine — is the template Skenazy proposes for schools responding to AI rather than policy-by-panic.

Institutional alliance required. Individual parental intentions are insufficient; schools, policy-makers, and legal systems must be enrolled in the project of restoring developmental opportunities.