a16zThe AI School Kids Love More Than Vacation | Alpha School's Joe Liemandt
CHAPTERS
- 0:00 – 1:52
Reinventing the K–12 school day with an AI-powered learning engine
Joe Liemandt lays out Alpha School’s core premise: modern learning science plus LLMs enables a learning engine that can teach much faster than the traditional teacher-at-the-front model. He frames the real challenge as not just adopting tools, but redesigning the entire school day around the new capability.
- •Instructional design in schools hasn’t fundamentally changed for about a hundred years
- •Learning science combined with LLMs enables a “learning engine” that teaches much faster than the traditional model
- •The central question becomes what to do with the time freed up by faster learning
- •Alpha’s approach focuses on reinventing the full school day, not inserting edtech into an old structure
- 1:52 – 4:47
Alpha’s three commitments: kids love school, learn more in two hours, and build life skills
Joe describes the outcomes Alpha is optimizing for and the operating model behind them. He shares survey claims about student enjoyment and explains that academics take roughly two hours per day, leaving afternoons for structured life-skill development through projects.
- •Alpha aims to build a school kids love attending, including claims that many prefer it over vacation
- •Students do academics about two hours a day and learn more than in a traditional six-hour day plus homework
- •Being “best academic performing” is tied to standardized test results, according to Joe
- •Afternoons are dedicated to life skills through projects with peers and an adult facilitator
- •Life-skill categories include leadership/teamwork, entrepreneurship/financial literacy, relationship-building/socialization, storytelling/public speaking, and grit/hard work
- 4:47 – 6:45
Scaling schools like a product: making the model believable and repeatable
Gagan highlights a shift in Alpha’s growth: making the model feel believable to outsiders. Joe explains how his product and entrepreneurship background shaped a focus on packaging, scalability, and using AI to improve quality as the system expands.
- •Gagan argues the key shift has been making Alpha’s model believable enough that people ask why schooling would be done any other way
- •Joe says scaling schools at quality is hard and required “product packaging” to become understandable and scalable
- •AI is positioned as a lever to help maintain and improve quality at scale
- •Joe claims Alpha’s system improves outcomes as it grows, including test scores and student happiness
- 6:45 – 8:04
Why kids love it: redesigning for motivation, rigor, and high standards
Erik presses on what drives student enjoyment and motivation. Joe argues that edtech fails if placed into a normal schedule, and that success requires a commitment to redesigning the day around making kids love school—while maintaining rigor and high standards.
- •Joe says learning tech inserted into a traditional school day will fail like prior edtech
- •He frames the key question as whether leaders will redesign the day so kids love school more than vacation
- •He pushes back on the idea that fun means lack of rigor, arguing kids want to do hard things
- •He claims “the key to your child’s happiness is high standards,” because achievement and challenge drive engagement
- •Doing challenging work with friends is presented as central to why students prefer school to vacation
- 8:04 – 10:45
The teamwork workshop: escape rooms, AI transcript analysis, and an 85% target
Joe gives a concrete example of how Alpha teaches life skills with measurement and iteration. Third graders do an escape room while mic’d, AI analyzes their language, and students train over weeks to increase “uplifting” team-oriented behavior to a defined standard.
- •Joe argues traditional group projects often teach the opposite of teamwork
- •Alpha uses an escape-room exercise with third graders and records their collaboration
- •AI analyzes transcripts to quantify team-oriented vs. combative/self-centered language
- •Initial “uplifting” language is described as under 20%, according to Joe
- •Students complete an eight-week workshop and must reach 85% team behavior to pass, and Joe says they complete escape rooms faster as teamwork improves
- 10:45 – 13:06
Engineering academic wins: personalization and the 80–85% correctness engagement zone
Joe explains why students often dislike school academically: repeated failure and falling behind in time-based systems. Alpha uses personalized lessons to keep students in a difficulty range that sustains motivation, adjusting with scaffolding or acceleration as needed.
- •Joe says kids dislike doing things they fail at, and time-based schooling makes falling behind feel like “torture”
- •Alpha’s system personalizes lessons so students can receive instruction at the level they need regardless of grade
- •The learning engine targets an “80 to 85% correct” zone to keep work challenging but achievable
- •If work becomes too hard, the system provides scaffolding; if too easy, it accelerates progress
- •Joe ties high standards plus consistent success to student excitement and enjoyment of academics
- 13:06 – 20:33
Applying the model to university: interns’ anxiety and the desire for real-world building
The conversation shifts to how Alpha’s philosophy influences Horowitz Andreessen Academy (HAA) and university redesign. Joe recounts discussions with interns from top universities who felt unprepared for the world, and describes their motivation when given a hard, meaningful project.
- •Gagan says student-centric redesign with modern tools can improve outcomes, but changes must differ by age range
- •Joe says university needs reinvention and he’s excited HAA is attempting it
- •Joe recounts asking interns whether university is preparing them for the world; he says only one raised a hand
- •He says interns were “terrified” about job prospects and AI replacing early-career roles
- •Joe describes interns working extremely hard on a meaningful project and wishing university offered more of that kind of work
- 20:33 – 22:43
What university gets wrong: lectures as a “charade” vs. seminars, clubs, and community
Joe reflects on Alpha High graduates’ experiences in college and his own time at Stanford. He argues large lecture courses feel wasteful, while smaller seminars and extracurricular elements provide much of the value students actually want.
- •Joe says Alpha High graduates reported enjoying college and earning strong grades, but criticized large lecture classes
- •He shares that several students wrote editorials arguing lectures don’t need to exist in their current form
- •Students reportedly valued small seminars, clubs, and activities more than big lectures
- •Joe describes university as a “bundle of products,” with much of the valuable bundle not being the formal academics
- •He contrasts lecture time with the value of meeting people and building projects with peers
- 22:43 – 27:02
Convincing parents: shifting expectations and the “1910 tractor” analogy
Joe describes changing parent sentiment, including families who no longer want a straight path to elite colleges. He uses a historical analogy about technology disrupting farm labor and communities funding new education models they hadn’t personally experienced, connecting it to today’s need for a new schooling paradigm.
- •Joe says he talks to many parents and has been surprised by how many want alternatives to an Ivy-focused path
- •He describes younger parents as more willing to rethink the long-term plan for their kids amid a changing world
- •He says older students’ families tend to stay on the established path because they feel near the finish line
- •Joe offers a historical analogy: the tractor arriving in 1910 disrupted farm labor and pushed communities to fund high schools
- •He frames today’s moment as another inflection where families must support a new model despite unfamiliarity
- 27:02 – 34:34
Early adopters, proof points, and “someone to go first” dynamics
Asked why a parent should risk a new institution, Joe explains the adoption curve and why you don’t need everyone at first. He argues that once the first cohort thrives and there are visible proof points, demand accelerates, and he shares his own initial skepticism before joining Alpha.
- •Joe says adoption follows a curve and early cohorts come from families already convinced the old system isn’t working
- •He claims some parents later regret choosing the traditional “safe” path after seeing Alpha students thrive
- •He says the first year is hardest because there’s limited data, but proof points change comparisons quickly
- •Joe recounts initially resisting Alpha because it felt too unconventional, then switching after two years
- •He describes opening new campuses with small initial enrollments that later filled once families saw it working
- 34:34 – 42:10
Student agency and Joe’s dropout story: motivation flips “lazy” into intense effort
The group discusses how forcing students into formats they don’t buy into can trigger rebellion. Joe shares his personal story of skipping school, dropping out of Stanford, his father’s harsh reaction, and how doing work he loved led to intense commitment—mirroring Alpha’s emphasis on high-agency, hard work.
- •Gagan says a core frustration in school was being forced to do things without buy-in as agency increased in adolescence
- •Joe says many students change quickly when doing hard things they actually want to do
- •Joe recounts being in trouble in K–12, doing the minimum to get into Stanford, and then dropping out
- •He describes his father initially calling him a “moron,” then later reversing after seeing his work ethic when building a company
- •The conversation contrasts straight-A structure-followers with students who thrive when they find intrinsic motivation
- 42:10 – 45:06
If you were 18 today: AI-driven “cognitive onload” plus building as the core loop
Erik asks what an 18-year-old should focus on in an AI-shaped world. Joe answers with a framework: AI accelerates knowledge acquisition and amplifies building ability, enabling students to become domain experts faster while applying learning to real-world creation.
- •Joe describes AI enabling much faster knowledge acquisition, letting students become domain experts quickly
- •He emphasizes pairing accelerated learning with building tangible projects, similar to the interns’ experience
- •Joe says Alpha High students are not pessimistic about AI; he characterizes them as confident builders
- •He predicts students will increasingly create the learning software their peers use, because they can make it more engaging
- •Joe gives an example of student-built curriculum content that he says drove strong outcomes and engagement
- 45:06 – 48:31
Choosing what to study: interest over defensiveness, and raising builder optimism
Gagan argues “future-proofing” is the wrong framing and urges students to choose what they’re genuinely interested in, approaching the world on offense. Joe reinforces the educator’s role in building optimistic, AI-capable builders who believe they can shape the future.
- •Gagan says the key question isn’t which field is resilient, but which field the student is interested in
- •He argues AI-native students can thrive in any discipline, while those clinging to old formats will struggle
- •Gagan says HAA screens against a defensive mindset and looks for people who want to be “on offense”
- •Joe emphasizes raising high-character kids who view the future as something they will build, not endure
- •Joe says educators should produce graduates who are optimistically capable with AI and intent on building a better future
- 48:31 – 56:00
Founders School: teaching entrepreneurship early, with a $1M profit guarantee and networking focus
Joe introduces Alpha’s specialized high school track, Founders School, and explains how it fits into their life-skill stack of entrepreneurship and financial literacy. He describes a stepwise process of earning increasing amounts, a bold tuition-back guarantee tied to business profit, and the role of networking and access to accomplished adults.
- •Joe says AI will shrink big-company structures and create more entrepreneurship, so Alpha teaches entrepreneurial skills early
- •He describes teaching financial concepts starting in kindergarten and using an internal currency to practice them
- •Founders School is positioned for high schoolers who want to spend school building businesses
- •Joe states a guarantee: students will build a business earning a million dollars of profit in high school or get tuition back
- •He emphasizes networking and exposure to accomplished adults, including a story of a student cold-calling Jensen and receiving feedback about preparation
