A Conference Full of Smart Questions
The AI in Washington conference, hosted by Mo Hafez, brought together leaders working at the intersection of artificial intelligence, public policy, and economic development. The conversations spanned government adoption, private capital deployment, and non-profit education initiatives. The speakers were knowledgeable. The audience was engaged.
But as the day progressed, a pattern emerged. The conversations centered on venture capital, pitch competitions, government contracts, and enterprise deployments. These are important topics. They are not the only topics.
The Question the Audience Kept Asking
Among the smartest people in the room, a recurring concern surfaced: what about the everyday person and the small business owner? What about the communities that do not have reliable electricity, let alone broadband internet?
These are not abstract questions. They are operational realities for millions of people worldwide. You can talk about AI-powered logistics optimization, but what happens when you are operating an office and the electricity goes out and satellite internet is not available or useful? You can celebrate venture capital investment in AI startups, but who is going into rural communities to build the fiber optic cables and power grids where there still are not paved roads?
The question no one really wants to ask is: are we putting the cart before the horse?
This Is Not Only an American Problem
The infrastructure gap is global. And the sharpest example of it may be the one hiding in plain sight right here at home.
California is home to Silicon Valley, the wealthiest concentration of technological innovation on the planet. The companies headquartered there are building the AI tools that will reshape every industry on Earth. The venture capital flowing through San Francisco and Palo Alto funds more AI research than most nations. And yet, less than a day's drive from those campuses, low-income rural communities struggle with unreliable power, limited broadband, and the same infrastructure gaps that exist in the developing world. The Central Valley, the Inland Empire, and rural Northern California are home to farmworkers, small business owners, and families who are structurally excluded from the economy that Silicon Valley is building next door. The gap between the valley's wealth and the rural communities that surround it is not a metaphor. It is a daily reality.
The same pattern exists worldwide. In Lebanon, educated professionals with world-class skills operate in an environment where the basic infrastructure they depend on is failing. In sub-Saharan Africa, mobile-first economies leapfrog legacy systems but still lack the power and connectivity to fully participate in the AI economy. In South Asia, educational inequality means the benefits of AI concentrate in urban tech hubs while rural populations remain excluded.
The pattern is consistent across continents: educational and financial inequality create infrastructure gaps, and those infrastructure gaps widen the inequality instead of closing it.
AI is fundamentally an infrastructure technology. It requires reliable power, high-speed connectivity, and data systems that function consistently. In urban centers and enterprise environments, these prerequisites are assumed. In large parts of the world, they are not.
What Are We Actually Doing?
The conference raised important points about AI in government, private capital, and education. But the most important question received the least attention: how are we using AI to improve the daily lives of people who need it most?
AI can optimize crop yields for small farmers who struggle with unpredictable growing seasons in the Global South. It can help small business owners in Beirut, Baltimore, or Bangalore manage inventory, cash flow, and customer relationships with the same sophistication that large enterprises take for granted. It can improve healthcare access in underserved communities through telemedicine and diagnostic support.
But none of this works without the foundational infrastructure: power, connectivity, and digital literacy. Investing in AI applications while neglecting the infrastructure that makes them usable is, by definition, putting the cart before the horse.
A Call for Balanced Investment
The AI opportunity is real. The technology is powerful. The potential for economic growth and improved quality of life is significant. But realizing that potential requires a balanced approach that includes:
- Infrastructure first. Broadband expansion and grid reliability are prerequisites for AI adoption in underserved communities, not afterthoughts.
- Global inclusion. The AI economy will be shaped by who has access. If access is determined by geography and wealth, the technology will widen existing divides rather than close them.
- Small business focus. AI tools and training designed for small business owners everywhere, not just enterprise clients in major cities.
- Practical outcomes. Measuring AI success by improvements in daily life, not just by investment dollars deployed or patents filed.
The Bottom Line
The AI in Washington conference highlighted important work happening across government, capital, and education. But the most important insight came not from the stage but from the audience: the people asking whether we are solving the right problems for the right people.
The same question applies from DC to Silicon Valley to Lebanon to Lagos. Are we building the AI economy for those who already have access, or for those who need it most? When the wealthiest tech hub on Earth cannot extend reliable infrastructure to the rural communities in its own backyard, what hope do the rest of the world's underserved communities have without deliberate, intentional investment?
AI strategy that ignores infrastructure gaps, small business needs, and underserved communities is not strategy. It is exclusion dressed up as innovation.
The organizations and policymakers who recognize this distinction will build the AI economy that actually serves everyone.