AI Is Not a Bubble, but Many AI Startups Are Doomed to Fail
Only startups building their own LLMs and solving real problems will survive.
In a viral LinkedIn post, entrepreneur Karan Bhatt addresses the burning question: Is the AI explosion a technological revolution or a bubble ready to pop? He argues that AI is not a bubble — but many AI startups are. The hype is real, and many investors will lose money backing companies that merely wrap an LLM into a feature without building a meaningful product. These thin-wrapper startups are short-term plays that won't survive long-term.
Bhatt explains two core concepts: Large Language Models (LLMs) are powerful pattern learners trained on massive datasets, and AI agents are LLMs connected to tools that can take real-world actions. The real opportunities lie in startups building their own LLMs, tackling exceptional problems, or applying deep expertise in niche industries like law or medicine. Founders must innovate, not imitate, to survive the AI race.
- Many AI startups that simply wrap existing LLMs as features are short-term hype plays that will fail.
- Real opportunities exist in building proprietary AI systems and solving specific, meaningful problems.
- AI agents — LLMs connected to tools — enable real-world actions, moving AI beyond just generating text.
Why It Matters
Investors and founders must distinguish hype from substance to avoid losses and build lasting value.