Break intergenerational poverty cycle with AI (Part 2)
Now that we have the ultimate AI for coordination and cooperation, what do we do with it?
This is one hypothesis:
We serve the largest customer in the world- the US government and its agencies.
We taxpayers, spend a trillion dollars fighting poverty in the United States - $1,000 billion every year.
Just to give you a sense, we spent 750 billion roughly on defense. Just think about that.
So we spent more fighting poverty than we spent fighting World War I and World War II combined. $22 trillion since the 60s.
So the question is, can we create a business model that spends this money more effectively, that serves human beings better? That's the business model.
Our goal is to build 10 AI-powered startups. I call them the minimum viable ecosystem. How do you take care of workforce, transportation, child care, mental health - all the complexities, all the dragons in the lives of people living in these communities? Can we take them head-on with the robustness of AI? That's our vision.
The first one is a company called Talented. As I mentioned, before they become unemployed adults, they're unemployed youth. So here's our chance to re-engineer systems for them. Talented uses a type of AI which I will share to solve this problem for disconnected youth. As I mentioned, there are over five million disconnected youth in the US.
Talented will be orchestrating these aspects: education, trainers, mentors, jobs. There is a new type of AI that's coming, they are different from the LLMs, but all of us will use it very, very soon.
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We're going to start off in the New York MSA because it's the largest economic region in the country. We're going to start off in Newark, NJ and then expand to the New York City metro in the first three years.
Then in year four and five, we'll go to the Northeast Megalopolis, from Boston all the way to DC. In those distressed communities, there are approximately 2.5 million people in poverty. But the vision is, once we do this, we can scale this nationally into the top 11 Megalopolises. We can then scale globally.
Again, all this is possible today.
So that's the first part. That's our plan.
That's how the Beloved ecosystem will have a business model to create wealth in distressed communities. So that's the business plan, but what's missing from here is "How?". I've shown you pretty pictures. How exactly does this AI work?
To be continued...
Break intergenerational poverty cycle with AI (Part 3)
Watch me present at the IMAGINE AI Live Conference here:
Thank you for your attention.
Chinedu
Product Builder
1 个月I have had a similar idea ( before the democratization of AI) 50 startups that tackle socioeconomic challenges and , if they are successful , are integrated in the administration ( so that the value they create remains a common good). I don't know if you have heard of systems practice. It is a methodology that maps the systems that produce "Wicked" or complex problems, in order to identify opportunites to transform them. If I were to create an AI company now, I would create a Saas that simplifies the process of systems practice. A lot of the tasks I used to do myself in Systems practice are now hugely simplified by AI. But we have to use AI in a way that doesn't eliminate human input and local expertise.
I build A.I.-powered GovTech startups in Distressed communities
2 个月There is a new type of AI coming.... No black boxes.
Co-Founder of Altrosyn and DIrector at CDTECH | Inventor | Manufacturer
2 个月On a deeper level, this means leveraging AI's potential to not just create wealth but also dismantle systemic inequalities. The focus on youth apprenticeships through "Talented" is particularly intriguing how do you envision this program navigating the ethical complexities of algorithmic bias in talent identification and placement within these communities?