Why AI startups are selling the same equity at two different prices

The News

TechCrunch reported on March 3, 2026, that some AI startups are employing a unique valuation mechanism that allows them to sell the same equity at different prices, potentially inflating their market value. This practice is raising eyebrows and questions about transparency and fairness in the AI startup ecosystem.

The Context

The phenomenon of AI startups selling equity at different prices is a recent development, but it is rooted in the broader context of the AI industry's rapid growth and the increasing appetite for high-risk, high-reward investments. Over the past few years, AI startups have experienced a surge in popularity and funding, driven by the promise of disruptive technologies and the potential to disrupt traditional industries. This has created an environment where valuations can be highly volatile, and startup founders are constantly seeking innovative ways to attract investors and maintain high valuations.

Historically, the valuation of startups has often been a contentious issue, with various methods used to assess a company's worth. In the AI space, this has been further complicated by the intangible nature of the technology and the speculative nature of its potential impact on the market. As a result, some startups have found creative ways to manage their equity and valuation, such as selling the same equity at different prices to different investors. This practice is reminiscent of the dot-com era, where companies would use complex financial mechanisms to manipulate their perceived value and attract more investment.

Why It Matters

The practice of selling equity at different prices has significant implications for the stakeholders involved, including founders, investors, and other market participants. For investors, this practice can lead to confusion and a lack of transparency, making it difficult to assess the true value of their investment. This can erode trust in the market and create an uneven playing field, where some investors may have a better understanding of the true value of their stake than others.

For startups, this practice can be a double-edged sword. While it may help them secure additional funding and maintain high valuations, it can also create a perception of financial instability or mismanagement. This could potentially deter future investors and impact the company's ability to raise capital in the long run. Moreover, if the practice is widely adopted, it could lead to a market correction as investors recalibrate their valuation methods to account for these practices.

For developers and users, the impact may be more indirect but equally significant. If AI startups are inflating their valuations, it could lead to an oversupply of AI solutions in the market, potentially reducing the perceived value of these technologies and impacting the adoption rate among users. This could also lead to a misallocation of resources, with too much capital flowing into AI startups that may not be truly innovative or sustainable in the long term.

The Bigger Picture

The practice of selling equity at different prices is part of a broader trend in the AI industry towards more creative and sometimes controversial valuation methods. This trend reflects the unique challenges of valuing intangible assets and the speculative nature of AI investments. Other startups and established companies are also adopting innovative methods to manage their equity and valuation, such as issuing special classes of shares or using complex financial instruments to manage their liquidity and market perception.

While some may view these practices as necessary for the growth and survival of AI startups, others see them as a sign of an overheated market and potential for a future correction. The trend also highlights the need for clearer regulations and standards in the AI industry to ensure transparency and fairness in the valuation and investment processes.

BlogIA Analysis

At BlogIA, we are closely monitoring the trend of AI startups selling the same equity at different prices and its implications for the broader AI industry. This practice raises important questions about the transparency and integrity of the startup ecosystem, particularly in the high-growth sector of AI. While it may provide short-term benefits for some startups, the long-term impact on investor confidence and market stability is concerning.

Moreover, this trend highlights the need for a more nuanced understanding of AI valuation and the importance of developing robust frameworks for assessing the value of AI technologies. As the industry continues to evolve, it is crucial to strike a balance between innovation and transparency to ensure the sustainable growth of the AI sector.

Looking forward, it will be interesting to see how regulatory bodies and industry leaders respond to these practices and whether they lead to the development of new standards and regulations to protect the interests of all stakeholders in the AI ecosystem.

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