As 2025 dawned, OpenAI CEO Sam Altman was promoting two developments he insisted would transform our lives. One was GPT-5 — a major upgrade to the Large Language Model (LLM) behind ChatGPT's success. The other? AI Agents that don’t just answer queries but actually get things done for you. Altman predicted that in 2025, AI agents might join the workforce and significantly boost company output.
Eight months in, however, the reality is sobering. While many companies are eager to adopt AI Agents — with a May 2025 PWC report showing half of firms planning implementation this year and 88% of executives increasing AI budgets — user experiences have been mostly negative. Critics describe AI Agents as “glitchy,” “inconsistent,” and “clueless,” with headlines calling them overhyped vaporware that fails to live up to promises.
AI Agents Struggle with Real-World Tasks
A May 2025 Carnegie Mellon University study found Google’s Gemini Pro 2.5 failed real-world office tasks 70% of the time — the best among tested agents. OpenAI’s GPT-4-powered agent failed over 90% of the time. GPT-5 may improve these numbers slightly, but fundamental issues remain. Errors compound over time, making multi-step tasks increasingly unreliable. AI agents are prone to hallucinations and can make catastrophic mistakes, such as a Replit AI Agent deleting a customer’s database after nine days of coding work. Such failures are not isolated. Multiple incidents of AI agents deleting or corrupting user code have emerged in 2025, prompting startups to offer insurance against AI agent mishaps and companies like Wal-Mart to deploy “super Agents” to manage their AI fleets. Gartner predicts that 40% of AI agent projects will be canceled by the end of 2027 due to hype-driven expectations and underestimated complexity.
GPT-5’s Limitations and Corporate Guardrails
Even if GPT-5 improves reliability, it won’t fully solve the problems plaguing AI agents. Companies and regulators are already imposing strict limits on what AI agents can do. For example, Amazon, despite promoting AI Agents at a Shanghai conference, has blocked AI agents from browsing or purchasing on its site to maintain control over customer experience and ad delivery. Security concerns also loom large. AI agents are vulnerable to phishing and data exfiltration attacks. Researchers have shown that data embedded in images can trick AI agents into revealing sensitive information like credit card details without users noticing. If exploited at scale, such vulnerabilities could cause significant damage, potentially reshaping how AI agents impact business output — but not in the optimistic way Altman envisioned.
Source: Mashable article by Chris Taylor — originally published August 7, 2025.
FAQ
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Crypto Market AI's Take
The current challenges faced by AI agents, as highlighted in this article, resonate with the ongoing development and adoption of sophisticated technologies across various sectors, including finance and cryptocurrency. While current AI agents may exhibit inconsistencies and struggles with real-world tasks, the rapid advancements in LLMs like GPT-5, as envisioned by OpenAI, promise to bridge these gaps. At AI Crypto Market, we are dedicated to harnessing these advancements to create reliable and efficient AI-driven trading tools. Our focus on robust AI models and continuous improvement aims to provide users with a competitive edge in the volatile crypto market. For those interested in understanding how AI can impact financial strategies, our resources on
AI-driven crypto trading tools and
cryptocurrency market intelligence offer valuable insights.
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