Check out why investors are eyeing AI Startups in today's market

The launch of ChatGPT in November 2022 was not just a revelation but a revolution. In an artificial intelligence world, the arrival of ChatGPT, a GPT technology-based platform, became a game-changer. ChatGPT not only revealed AI's potential but also its pitfalls and ethical problems.

These ground-breaking discoveries are uncommon, but when they do occur, they can lead to the creation of several novel solutions and possibilities that call for creativity and a risk-taking venture capital infusion. A $300 billion war chest was acquired by the end of 2022, and the venture capital industry opted to observe instead of taking over.

In the early days after ChatGPT, there needed to be more clarity about where to invest. Venture capitalists, who tend to be data-driven, were left in a blind alley. Without a clear direction, they turned to the fundamental tools of AI: the developers of LLMs (large language models), their ancillary tools like vector databases, the repositories of open-source LLMs, and the hardware behind AI chips.

The commoditization of low-end mobile devices (LLMs) quickly reversed this trend. The prominent players in the space faced unsustainable unit economics, held back by a computing power shortage and a highly competitive market that was unwilling to bear operational costs. The idea that scale would bring cost-effectiveness collapsed in the face of a global GPU shortage and a ravenous appetite from tech giants monopolizing the market. Coupled with a dire shortage of AI talent, soaring compensation requirements, and a legal landscape fraught with data usage lawsuits, the LLM investment environment became a high-risk, low-reward environment. Waging to invest in an LLM developer was like betting on a horse in a field where every contender was one step away from insolvency, limited growth, or legal danger, with success contingent upon breaking into lucrative markets.

AI startups are the foundation upon which AI can build empires. By unraveling the silos of corporate data, AI is unlocking trillions of dollars in value, unlocking new levels of efficiency and competitive advantage. With their time-critical processes, stringent security measures, and large budgets, enterprises are not just using AI; they are inextricably tied to their AI suppliers for years to come.