The wave of AI-powered education is sweeping the globe, sparking a new debate on educational equality and the survival of liberal arts. In 2023, Khan Academy's AI-powered tutoring covered 500,000 students and teachers in the US. In 2024, China launched the "LEAD Action" initiative, aiming to integrate AI into education. Tech giants and education companies have followed suit, launching AI-powered tutoring products.

The question on everyone's mind is: "When AI becomes a free tutor, can underprivileged students catch up?" This concern reflects the harsh reality of educational inequality. In traditional education systems, wealthy families have long held an advantage through expensive one-on-one tutoring, creating an "education resource monopoly." AI is now disrupting this status quo, providing equal access to quality education for all.

However, the cancellation of liberal arts courses at top universities, such as Harvard and West Virginia University, raises concerns about the devaluation of liberal arts in the face of technological advancements. AI-powered tutoring excels in math and programming but struggles with literature and philosophy.

Optimists point to reports like the "2024 AI + Education Report" by iResearch, which highlights the potential of AI to improve educational outcomes. For instance, AI-powered tutoring has increased teacher efficiency fivefold, and students in rural areas have seen their average scores catch up with those in coastal regions. AI has also enabled innovative applications, such as language learning and cultural heritage preservation.

However, pessimists warn of the dangers of relying too heavily on technology. They point to the high cost of AI-powered learning devices, which can exacerbate existing inequalities. Moreover, research has shown that AI-powered systems can perpetuate cognitive biases and reinforce existing social inequalities.

The global trend of liberal arts program cancellations is a symptom of a deeper structural crisis. AI's intervention has created two possible outcomes. On the one hand, AI can expand the scope of liberal arts research and provide new tools for cultural heritage preservation. On the other hand, the market-driven focus on STEM education may further marginalize liberal arts, making it harder for students to pursue their passions.

As AI continues to transform the education landscape, it must answer critical questions: How can AI-powered education in rural areas like Sichuan's Daliang Mountains go beyond mere test prep and incorporate local cultural heritage? How can AI ensure that students pursuing STEM fields do not neglect the humanities?

Ultimately, educational equality is not about providing uniform knowledge relief but about empowering each individual to find their unique growth trajectory in the digital wilderness. AI can illuminate educational disparities, but it can also expose the dangers of instrumental rationality devouring humanistic spirit. This technological revolution in education will ultimately find its answer in the resonance between algorithms and humanism. True educational equality may not be about everyone scoring perfectly but about everyone having the freedom to choose their own path, whether as "stars or moss."