AI costs

Articles tagged AI costs on mistr.AI.

• The era of spending on AI at any cost is ending, and customers are leaving OpenAI and Anthropic — For two years the rule was simple. Run everything through the most powerful model and do not worry about the price. Now that is breaking. According to CNBC, companies are starting to rein in their AI bills, looking for efficiency, and some customers are leaving OpenAI and Anthropic for cheaper models. For both companies, which are heading for the stock market, it may be the end of their fastest growth. And for your company, a clear lesson in how to approach AI.
• Seven AI breakthroughs in March 2026 that are pushing the boundaries of artificial intelligence — March 2026 brought a fundamental shift in artificial intelligence. AI systems are no longer just text generators — they are transforming into autonomous agents that plan, decide, and act. The cost of running models is falling, robots are learning to operate in the real world, and language models are beginning to understand code and security at the level of experienced developers. Here is an overview of the seven most important breakthroughs of the month.
• Multi-Cloud and Artificial Intelligence Are Becoming an Inseparable Part of the Modern IT Budget — IT budgets are growing, but not fast enough. Between 2024 and 2025, the volume of global data will grow from 149 to 181 zettabytes, and two-thirds of British organizations expect rising cloud spending due to AI experiments and inflation. Moreover, the same number of companies admits they would have to cut back on staff or cybersecurity to afford it. There is, however, a solution that can help you stay competitive.
• When Artificial Intelligence Causes Problems Instead of Benefits and How to Prevent It — Companies are increasingly adopting AI tools intended to improve work and boost productivity. Without proper coordination and governance, however, chaos ensues, leading to mounting costs, security threats, and compliance issues. In this article, we examine the phenomenon of "AI sprawl" and offer advice on how companies can better manage AI so it truly helps rather than harms.