When GitHub Copilot changed its pricing model in June 2026, it highlighted a larger question about the future of artificial intelligence: who will be able to afford access to the most powerful AI tools?
For the past few years, AI has felt remarkably accessible. Students have used it to understand difficult concepts, developers have used it to write code faster, and researchers have used it to process information more efficiently. Tools like GitHub Copilot gave beginners and professionals access to similar capabilities for a predictable monthly fee.
That model is beginning to change.
GitHub recently introduced token-based billing, where users pay according to how much AI computation they consume. The change reflects a simple reality: running advanced AI systems is expensive. Behind every response are massive data centers, specialized processors, enormous energy consumption, and teams maintaining complex infrastructure. AI may feel effortless to use, but it is not cheap to provide.
Photo Credit: GitHub
From a business perspective, charging based on usage makes sense. However, it also raises concerns about access. Heavy users who depend on AI for coding, research, or productivity may face significantly higher costs. What was once a predictable tool could become a metered service.
This leads to a broader issue.
Photo Credit: Wikiversity
Imagine two equally talented students. One has access to premium AI tools with faster responses, advanced features, and very few restrictions. The other relies on free versions with usage limits and older models. Over time, even a small difference in access can create a meaningful gap in opportunities and productivity.
Society has seen this before. During the early days of the internet, those with computers and reliable connections gained advantages over those without them. Eventually, governments, schools, and libraries worked to reduce that digital divide because internet access became essential for education and work.
AI may be following a similar path.
Today, AI is increasingly used in classrooms, workplaces, research, and entrepreneurship. If access to powerful AI becomes a requirement rather than a convenience, unequal access could become a new form of digital inequality. The GitHub Copilot pricing change is not a crisis. Students can still use AI tools, and many features remain available. But it serves as an important signal.
The question is no longer whether AI will become more powerful or more common. Both are already happening.
The real question is much simpler: Who will be able to use it?
