If you’ve been following recent AI news, you’ve likely seen the conversation around Anthropic and its reported “Mythos” model—framed as potentially too powerful to release broadly due to security and safety concerns.
At first glance, this may seem like a responsible step.
But a broader shift is underway—one that has significant implications for economic opportunity.
A Shift Toward Controlled—and Cost-Constrained—Access
As AI systems advance, three forces are converging:
- Safety and misuse concerns
- High costs to develop and maintain models
- Pressure on companies to move toward profitability
We are currently in a moment where many AI tools feel relatively accessible. But this may be temporary. As business models evolve, costs are expected to rise—especially for the most advanced capabilities.
Access will increasingly be shaped not just by policy or infrastructure—but by price.
When access to the most powerful AI tools is determined by cost, the AI divide becomes the next economic divide.
The Reality: Access Is More Than Price
Cost is only one layer of the challenge.
Meaningful participation in the AI economy also requires:
- Access to a computer or device
- Reliable internet connectivity
- Foundational digital literacy
- An understanding of how AI tools work and how to use them effectively
Even today, many individuals lack these prerequisites.
As costs rise, these barriers don’t just persist—they compound.
The result is a layered access gap: those without tools, connectivity, or skills are not just excluded from using AI—they are excluded from the economic opportunities it creates.
A Critical Opportunity for Public Leadership
There is a clear need for models that ensure access to AI is not limited by cost, infrastructure, or knowledge.
Initiatives like Empire AI offer an early example of a public-interest approach—expanding access to advanced AI infrastructure while aligning with workforce and economic mobility goals.
But infrastructure alone is not enough.
Access must be:
- Affordable
- Paired with workforce training
- Supported by devices and connectivity
- Designed to build real understanding and practical use of AI tools
The priority is not only advancing AI capabilities—but ensuring broad, meaningful participation in the opportunities those capabilities create.
Proof Point: Access + Skills = Mobility
Workforce models like Can Code Communities demonstrate what is possible when access is intentionally designed:
- 5,000+ individuals trained in digital and AI-related skills
- Average wage increases of $19,000–$25,000
- Over 70% of participants from historically underserved communities
- Integrated model including training, devices, connectivity, and coaching
These outcomes reinforce a critical insight:
Access alone is not enough—but without access, mobility is not possible.
When access is paired with skills and support, the economic impact is measurable.
Why This Matters Now
We are at a pivotal moment.
AI tools may feel broadly accessible today—but that window may narrow as costs rise and access becomes more limited.
The decisions being made now—around pricing, infrastructure, and workforce investment—will determine whether AI expands economic mobility or reinforces existing gaps.
Advancing Economic Mobility Through AI Access
The AI divide is not inevitable.
It will be shaped by deliberate choices:
- Expanding affordable access to advanced tools
- Investing in workforce training at scale
- Building public-interest infrastructure
- Addressing foundational barriers like devices, connectivity, and digital literacy
Without these actions, the most powerful tools—and the greatest economic gains—may remain in the hands of a few.
With them, AI can become one of the most powerful drivers of upward economic mobility in decades.
The window to shape that outcome is now.