John Hope Bryant launched Hope AI with the goal of making 1 billion grassroots people AI-literate in the next 10 years. The goal isn't just inclusion — it's unleashing the next wave of companies from communities that power has long overlooked.
Where this was said
At 18:20 · chapter starts 16:40
Theory becomes practice in this segment as Jones offers four vivid proof-points. Andre Part, formerly incarcerated, teamed up with engineers to build Untapped Solutions — a LinkedIn for people with criminal records, now deploying AI agents to support social workers [1] — Van Jones "Andre Part built something Silicon Valley never would have thought to: a professional network for formerly incarcerated people. Now it's de…" 17:15 . Noelle Sudbury, a lawyer, is using AI to automatically expunge prison records. Phaedra Ellis-Lamkins and Diana Frappier built Promise into a billion-dollar company helping government be more frugal and humane rather than more lethal. And Tajiel Smith's Rapport, backed by Reid Hoffman, uses AI to raise EQ inside organizations rather than just IQ. Capping the list is John Hope Bryant's Hope AI, targeting 1 billion people becoming AI-literate in 10 years. Together these examples answer the skeptic: the incubators, venture studios, and funds that pair grassroots knowledge with engineering talent already exist. The blueprint just needs to be scaled.
Andre Part, formerly incarcerated, partnered with engineers to build Untapped Solutions, a LinkedIn-style platform for formerly incarcerated people, now deploying AI agents to assist social workers.
Andre Part built something Silicon Valley never would have thought to: a professional network for formerly incarcerated people. Now it's deploying AI agents to help social workers. This is what pairing grassroots knowledge with engineering talent actually looks like.
Phaedra Ellis-Lamkins and Diana Frappier built Promise into a billion-dollar company helping governments be more frugal and helpful rather than more lethal.
Promise is a billion-dollar company using AI to help governments be more frugal and helpful rather than more lethal. It's one of Jones's clearest examples that pairing engineers with people who know the community produces solutions no purely technical team would find.
John Hope Bryant's Hope AI initiative aims to make 1 billion grassroots people AI-literate within the next 10 years to enable broader economic participation.
The answer is simple to state and hard to do: tech needs less greed and speed, more sharing and caring; activists need less shame and blame, more space and grace. Put those together and you get a movement with enough magic to become the ancestral intelligence of the future.
Galloway confesses to occasionally writing after a drink or two — and finding the work grips better because it removes filters and lets emotion through. AI is the opposite: it optimizes for pattern-matching and produces a regression to the mean. People don't read average.
Galloway's son, walking to Kensington, refused to use AI to find a coffee shop. His reason: 'I don't want to be reliant on AI for simple things.' Galloway draws an analogy to testosterone replacement therapy — leaning on AI for creative work suppresses your brain's own creative output, just as exogenous testosterone suppresses natural production.
Your brain only rewires when there's a gap between where you are and where you want to be. Errors trigger elevated norepinephrine and epinephrine, which chemically tag the synapses that need to change. Sleep then seals the new wiring. The uncomfortable agitation you feel while learning something hard is not a problem to fix — it's the mechanism itself.
The best way to consolidate and accelerate learning isn't re-reading or visualization — it's deliberately trying to recall what you know, hitting the wall of what you don't, and going to look it up. That gap triggers the same norepinephrine response as making errors in physical practice. It's why drivers used to have to retake tests, and why physicians still do.
A baseball-playing junior who learned about compound interest now wants to quit the sport to start working and investing. George says let him decide and own it. Jade says team sports build something a job can't replace — try doing both during off-season first before making the call permanent.
May is 33, carries $69K in combined household debt, and wants to spend 11–13 years training to become a forensic pathologist at $14K/year in tuition. The prerequisite is non-negotiable: zero debt before a single class. Then, with the spouse earning $4,500/month and able to run the household debt-free, cash-flowing medical school is genuinely possible.
Kavak launched the Jedi Academy, an internal program where every employee — from CEO to mechanics — completes a 6-week training and ships a production-ready AI agent. The message to staff was blunt: train and adapt, or this may not be the right place for you.
The worst AI outcome for young people isn't cheating on homework. It's that passive, mindless consumption strips away the motivation and agency their brains need to develop. The second worst outcome is banning AI from classrooms entirely. The winning path is giving students AI-powered agency.
Prompting AI effectively is a skill that should be taught in K-12. The best prompter in history? Socrates. His method of relentlessly asking precise questions to uncover truth is exactly what powerful AI interaction looks like — and schools should explicitly teach it.
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