AI应用开发商怨声载道：部署成本水涨船高

Group 1 - The core viewpoint of the articles highlights that the majority of companies investing in AI have not yet achieved profitability, and the trend of decreasing costs for deploying advanced AI is expected to stagnate by 2025 [1] - Major AI companies like OpenAI and Anthropic had previously reduced API call prices by over 90% in 2024, but the reality shows that costs for deploying AI have not significantly decreased since early this year [1][2] - Companies like Intuit are experiencing a rapid increase in AI-related expenses, with projected costs rising from $20 million to $30 million for Azure services supporting AI functionalities [2] Group 2 - Upstream model providers and cloud service companies are benefiting from the struggles of application developers, with Microsoft Azure reporting a 39% revenue growth in the last quarter, driven by a sevenfold increase in token generation related to AI [3] - OpenAI has achieved profitability through API sales, although this does not account for the high costs of AI training and personnel [3] - Developers are expressing concerns about the lack of price reductions for AI tools, questioning whether a monopoly has formed among large model developers [4] Group 3 - Independent developers are facing challenges with increased costs, as seen with a developer who experienced a rapid depletion of their usage limits after a price hike for a tool [5] - Companies like Anthropic justify their price increases by stating that customers are willing to pay more for measurable business outcomes, while OpenAI claims that the new GPT-5 model offers better value despite higher costs [6]