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- Google just invested $6 million to teach people AI
Google just invested $6 million to teach people AI
Plus: The $650B question for AI’s future
Rimsha Bhardwaj, Hasan Toor & Ihtesham Haider
November 12, 2025
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Hello, Prohuman
Today, we will talk about these stories:
Atlanta’s new hub for AI education
AI’s ROI problem just got real
ElevenLabs signs Hollywood’s sound of trust
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Georgia State teams up with Google on tech access
Image Credits: Georgia State University
A $6 million deal just brought Silicon Valley deeper into downtown Atlanta.
Georgia State University and Google are launching the AI Innovation Lab, an education program aimed at giving high school students in metro Atlanta hands-on training in AI and machine learning. The program leans on Georgia State undergrads and grads as mentors, while Google volunteers step in as industry guides.
It’s not just another tech grant. It’s a test of whether AI literacy can scale through public universities, not private incubators. Georgia State’s mix of R1 research status and proximity to Fortune 500 firms makes it a real-world lab for workforce development.
The partnership also reframes access. Students from local public schools get a direct path into Georgia’s tech economy, while future educators learn to carry AI training into classrooms statewide.
Atlanta’s skyline already hums with data centers and startups. Now, its classrooms are catching up.
J.P. Morgan says AI must earn $650B a year to break even
Image Credits: J.P. Morgan
The AI boom now has a price tag and it’s massive.
A new J.P. Morgan report estimates the industry will need $650 billion in annual revenue just to deliver a 10% return on the investments pouring in through 2030. That’s roughly $35 from every iPhone user or $180 from each Netflix subscriber, forever.
It’s a sobering benchmark for an industry built on exponential optimism. Analysts warned the trajectory could mirror the early telecom bust, when fiber buildouts outpaced real demand. Even with OpenAI nearing a $20 billion run rate and Anthropic targeting $26 billion, profits are still distant.
The risk isn’t just in hype. Overcapacity could turn billion-dollar data centers into idle metal, a point echoed by Sam Altman and Satya Nadella in recent talks. Every server farm built on speculation adds weight to a potential crash that could hit $20 trillion in market value.
AI promised infinite scale. The bill for that scale just came due.
Hollywood’s most recognizable voices go synthetic
Image Credits: Parade
Michael Caine’s gravel and Matthew McConaughey’s drawl just joined the AI economy.
The two Oscar winners have signed deals with ElevenLabs, giving the $6.6 billion startup permission to clone their voices. Caine’s joins the new Iconic Voices Marketplace, while McConaughey’s will narrate his Lyrics of Livin’ newsletter in Spanish.
It’s a symbolic moment: actors known for human presence lending their tone to machines. ElevenLabs frames it as preservation, not replacement, a way to keep “voices alive” and license them ethically. But every digitized inflection deepens the gray zone between ownership and imitation.
The marketplace doesn’t stop with the living. John Wayne, Judy Garland, and Maya Angelou are also on the roster, their voices revived for brands that can afford nostalgia on demand. Expect a rush of studios, advertisers, and estates to follow.
The sound of the future isn’t new. It’s just been remastered.
Prohuman team
Covers emerging technology, AI models, and the people building the next layer of the internet. |  Founder |
Writes about how new interfaces, reasoning models, and automation are reshaping human work. |  Founder |
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