Pinterest surpasses ChatGPT in search query volume as shares fall

# Pinterest Outpaces ChatGPT in Search Queries Amid Stock Price Decline

Pinterest's financial report has become a vivid example of how even a strong product can disappoint investors. The platform announced a revenue decline, which was immediately reflected in its stock quotations — shares fell after the results were published. However, the company's leadership found something to hold onto: it claimed that the volume of search queries on Pinterest now exceeds the number of requests to ChatGPT. This statement appears to be a desperate attempt to convince investors that the platform remains relevant precisely as a visual search system, despite grim financial figures.

The context of this statement is important for understanding the real situation in the market. The past two years have been marked by global interest in ChatGPT and other generative models. Investors rushed to reassess their portfolios, liquidating positions in companies that seemed vulnerable to the AI revolution. Pinterest fell victim to this wave of pessimism: like other social networks, the platform appeared doomed to be displaced by more advanced technologies. The comparison to ChatGPT is an attempt to rewrite this narrative. The company is trying to prove that content search is fundamentally different from dialogue with a chatbot.

The numbers that Pinterest cited are indeed impressive. The platform reported record growth in monthly active users — this is the most positive signal in the report that the company's supporters can rely on. People have not stopped searching for interior design ideas, fashion trends, or recipes. On Pinterest, they find these ideas in visual format, which in many cases is more convenient than a text response from an AI. This is a fundamental difference between two types of search: one is oriented toward inspiration and discovery, the other toward a direct answer to a specific question.

However, the comparison to ChatGPT raises questions about what exactly Pinterest measures and how this relates to the real challenges facing its business. ChatGPT does not publicly disclose the exact number of queries, so the comparison is partly speculative in nature. Moreover, these two services solve completely different tasks. ChatGPT generates text responses based on training data, while Pinterest works with existing content in its database. Investors probably understood this logic, but it did not stop the stock decline — which means the market is more concerned with financial metrics than with strategic ambitions.

The fundamental problem with Pinterest lies in monetization. The platform needs not only to retain users but also to convert their activity into revenue. Search volumes by themselves do not create value if they do not generate sufficient profit. The same applies to growth in activity — a nice metric, but it must be backed by revenue. The company is trying to develop a business around in-platform purchases and targeted advertising, but these directions are clearly not effective enough to meet market expectations.

Pinterest's claim of superiority over ChatGPT in the number of queries reveals a paradox of the modern AI landscape. Not all companies built on large language models will be winners, and not all old platforms are doomed to disappear. Pinterest demonstrates that sometimes traditional business models can coexist with new technologies. The question is only whether the company will be able to restore investor confidence by improving financial metrics and proving the sustainability of its growth.