Skip to content
Search

Latest Stories

Follow Us:
Top Stories

Lost Sams and Missing Fei-Feis: Why America Needs AI Guides Now

Opinion

Lost Sams and Missing Fei-Feis: Why America Needs AI Guides Now

Students studying robotics.

Getty Images, eyesfoto

In 2018, Economist Raj Chetty and his colleagues revealed a sobering truth: talent is everywhere, but opportunity is not. Their research on "Lost Einsteins" demonstrated that countless young Americans with the potential to be great inventors never get the chance to develop their skills simply because they lack exposure to innovation and mentorship. The data was clear: if a child grows up in an area with a high concentration of inventors, they are far more likely to become one themselves. But for too many, particularly those in rural and lower-income communities, the door to innovation remains closed. Failure to find those “Lost Einsteins” has deprived us all of a better future. Chetty forecasted that "if women, minorities, and children from low-income families were to invent at the same rate as white men from high-income (top 20%) families, the rate of innovation in America would quadruple." That’s a more prosperous, dynamic America.

The introduction of artificial intelligence (AI) carries the promise of realizing that brighter future if we learn from our prior mistakes. A lack of broad exposure among our youth to AI and the individuals shaping its development threatens to leave behind an entire generation of would-be entrepreneurs, scholars, and thought leaders. We risk creating "Lost Sams"—referring to OpenAI's Sam Altman as a stand-in for AI innovators—and "Missing Fei-Feis"—a nod to Stanford AI researcher Fei-Fei Li. Without urgent action, we will reinforce the existing gaps in AI leadership, limiting who gets to shape the future of this transformative technology.


To bridge this divide, we need a grassroots solution: AI Guides. These guides should be trusted figures within their communities—teachers, local entrepreneurs, librarians, and civic leaders—who are trained to introduce AI concepts in an accessible and engaging way. They must not only be knowledgeable about AI but also be representative of the communities they serve. Chetty’s research indicated that exposure to innovation had a larger impact on students when it involved a young person learning from someone who shared their background. If AI remains a field dominated by those from elite institutions and urban tech hubs, we will continue to miss out on the perspectives and innovations that could emerge from diverse backgrounds.

AI Guides can serve as the crucial link between communities and the AI revolution. They can run after-school programs, host workshops in community centers, and partner with local businesses to demonstrate real-world AI applications. By working with startups, big tech companies, and public universities, these programs can provide hands-on exposure to AI tools and career paths that young people might never have considered.

Why Local Action is Critical

Waiting for federal action on this front is a losing bet. While Washington debates AI regulations and corporate leaders focus on AI’s role in competition and security, communities must take the initiative. The disparities in AI adoption are stark. According to a study from the MIT Sloan School of Management, AI adoption is concentrated in high-income, urban areas, leaving rural and economically disadvantaged communities far behind. Similarly, research from Deloitte shows that trust plays a significant role in AI adoption, particularly among women. Building that trust in new technology requires learning opportunities in comfortable, familiar settings, not just top-down initiatives.

Consider the success of community-driven AI initiatives abroad. Estonia, for example, has launched an ambitious program to integrate AI education into high schools, ensuring students graduate with foundational AI literacy. The United States, in contrast, has no national strategy for ensuring AI exposure for young people beyond select STEM programs that often fail to reach the most underserved populations.

But this is not just an education issue—it’s an economic one. Studies from Harvard Business School show that women are already avoiding AI tools in the workplace, which could have long-term career consequences. Meanwhile, research from the National CIO Review highlights that younger generations are more likely to adopt AI, but that doesn’t mean they are receiving structured guidance on how to use it effectively. If we don’t intervene now, we risk deepening existing inequities in AI participation and leadership.

What AI Guide Programs Could Look Like

The AI Guide model can be easily adapted to different community needs. A few possibilities include:

  • Elementary School AI Clubs: Volunteers from local startups or university AI programs could run interactive sessions where kids learn about AI through games and simple coding exercises.
  • Community Center AI Nights: Public libraries or town halls could host monthly AI workshops, focusing on topics like how AI affects job markets, healthcare, and daily life.
  • Mentorship Pairing with AI Professionals: High school students interested in AI could be paired with mentors who work in AI-related fields, whether in big tech, academia, or startups.
  • AI for Small Businesses: Local entrepreneurs could be trained on how AI tools can help them streamline operations, from customer service chatbots to marketing automation.

These programs don’t require massive federal investment. They require committed local leaders, support from tech companies willing to provide training materials, and partnerships with public universities.

A Call to Action

We have the talent. What we need is exposure. AI Guides could be the key to ensuring that the next generation of AI innovators doesn’t come solely from Silicon Valley but from every corner of the country. Every town has the potential to produce its own AI pioneers but only if we provide young people with the mentorship and opportunities they need.

If we fail to act, we will look back in twenty years and see yet another generation of “Lost Sams” and “Missing Fei-Feis.” But if we rise to the challenge, we can ensure that AI’s future is shaped by a truly diverse and representative group of thinkers, creators, and leaders. It’s time to build the bridges that will connect every young mind to the possibilities AI has to offer.


Kevin Frazier is an Adjunct Professor at Delaware Law and an Emerging Technology Scholar at St. Thomas University College of Law.

Read More

Posters are displayed next to Sen. Ted Cruz (R-TX) as he speaks at a news conference to unveil the Take It Down Act to protect victims against non-consensual intimate image abuse, on Capitol Hill on June 18, 2024 in Washington, DC.

A lawsuit against xAI over AI-generated deepfakes targeting teenage girls exposes a growing crisis in schools. As laws struggle to keep up, this story explores AI accountability, teen safety, and what educators and parents must do now.

Getty Images, Andrew Harnik

Deepfakes: The New Face of Cyberbullying and Why Parents, Schools, and Lawmakers Must Act

As a former teacher who worked in a high school when Snapchat was born, I witnessed the birth of sexting and its impact on teens. I recall asking a parent whether he was checking his daughter’s phone for inappropriate messages. His response was, “sometimes you just don’t want to know.” But the federal lawsuit filed last week against Elon Musk's xAI has put a national spotlight on AI-generated deepfakes and the teenage girls they target. Parents and teachers can’t ignore the crisis inside our schools.

AI Companies Built the Tool. The Grok Lawsuit Says They Own the Damage.

Whether the theory of French prosecutors–that Elon Musk deliberately allowed the sexualized image controversy to grow so that it would drive up activity on the platform and boost the company’s valuation–is true or not, when a company makes the decision to build a tool and knows that it can be weaponized but chooses to release it anyway, they are making a risk-based decision believing that they can act without consequence. The Grok lawsuit could make these types of business decisions much more costly.

Keep ReadingShow less
Sketch collage image of businessman it specialist coding programming app protection security website web isolated on drawing background.

Amazon’s court loss over Just Walk Out highlights a deeper issue: employers are increasingly collecting workers’ biometric data without meaningful consent. Explore the growing conflict between workplace surveillance, privacy rights, and outdated U.S. laws.

Getty Images, Deagreez

The Quiet Rise of Employee Surveillance

Amazon’s loss in court over its attempt to shield the source code behind its Just Walk Out technology is a small win for shoppers, but the bigger story is how employers are quietly collecting biometric data from their own workers.

From factories to Fortune 500 companies, employers are demanding fingerprints, palmprints, retinal scans, facial scans, or even voice prints. These biometric technologies are eroding the boundary between workplace oversight and employee autonomy, often without consent or meaningful regulation.

Keep ReadingShow less
Close up of a woman wearing black, modern spectacles Smart glasses and reality concept with futuristic screen

Apple’s upcoming AI-powered wearables highlight growing privacy risks as the right to record police faces increasing threats. The death of Alex Pretti raises urgent questions about surveillance, civil liberties, and accountability in the digital age.

Getty Images, aislan13

AI Wearables and the Rising Risk of Recording Police

Last month, Apple announced the development of three wearable smart devices, all equipped with built-in cameras. The company has its sights set on 2027 for the release of their new smart glasses, AI pendant, and AirPods with built-in camera, all of which will be AI-functional for users. As the market for wearable products offering smart-recording capabilities expands, so does the risk that comes with how users choose to use the technology.

In Minneapolis in January, Alex Pretti was killed after an encounter with federal agents while filming them with his phone. He was not a suspect in a crime. He was not interfering, but was doing what millions of Americans now instinctively do when they see state power in motion: witnessing.

Keep ReadingShow less
AI - Its Use, Misuse, and Regulation
Glowing ai chip on a circuit board.
Photo by Immo Wegmann on Unsplash

AI - Its Use, Misuse, and Regulation

There has been no shortage of articles hailing the opportunity of AI and ones forecasting disaster from AI. I understand the good uses to which AI could be put, but I am also well aware of the ways in which AI is dangerous or will denigrate our lives as thinking human beings.

First, the good uses. There is no question that AI can outthink human beings, regardless of how famous or knowledgeable, because of the amount of information it can process in a short amount of time. The most powerful accounts I've read have been in the field of medical research: doctors have fed facts into AI, asking for a diagnosis or a possible remedy, and AI has come up with remarkable answers beyond the human mind's capability.

Keep ReadingShow less