Artificial intelligence has been at the center of global technological discourse, with billions poured into research, startups, and enterprise adoption. But as valuations skyrocket and skepticism grows, a critical question arises: is the AI bubble about to burst?
One of the most widely held misconceptions is that AI is a difficult technical challenge. In reality, as pointed out by industry experts, the fundamental science behind LLMs is not as complex as it seems. The architecture driving modern AI—Transformer models—was introduced in 2017. Since then, refinements such as FlashAttention, Mixture of Experts, and Reward Models (like GRPO) have been open-sourced and widely accessible.
Tech giants and research labs worldwide, including in China, have rapidly adopted and iterated upon these foundational models. The existence of multiple AI labs in China, producing models like DeepSeek, Qwen (Alibaba), and ByteDance’s MiniMax, challenges the notion that only a handful of Silicon Valley firms can dominate the space.
The Real Challenge: Infrastructure
However, the challenge lies in infrastructure—particularly, the ability to efficiently train and scale AI models. This requires immense computing power, running across thousands of GPUs in parallel.
In this space, DeepSeek has made real strides in managing the challenge of distributed computing. China’s AI boom is fueled by state-backed support (potentially the reason why DeepSeek reportedly won’t answer questions that put CCP in bad light), favorable market conditions, and deep-pocketed conglomerates willing to sustain AI research without immediate profitability.
As an X user puts it, compared to India, the South Asian country lacks this protective ecosystem. The AI sector in India struggles with fragmented funding and competition from established Western service providers despite having world-class engineering talent.
The capital infusion is part of this challenge. While China allows firms to operate without revenue for years, AI startups in the West face mounting pressure to deliver quick returns. So while “Chinese models are not good in early days,” they are expected to get financial support from private sector as well as provincial governments.
“There is no protected market to practice your craft in early days,” X user @bookwormengr explained. “You [in India] will get replaced by American service providers as they are cheaper and better every single time. That is not the case with Chinese player. They have a protected market and leadership who treats this skillset as existential due to geopolitics.”
If the AI bubble does burst, it will likely be due to unsustainable investment expectations rather than technological stagnation. The AI sector remains in an intense growth phase, but the eventual shakeout will leave only the most resilient firms standing.
Information for this story was found via the sources and companies mentioned. The author has no securities or affiliations related to the organizations discussed. Not a recommendation to buy or sell. Always do additional research and consult a professional before purchasing a security. The author holds no licenses.
