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– The post reflects a growing skepticism about agentic AI systems, which are designed to act independently, as 2025 proofs of concept (POCs) in large corporations have underperformed, aligning with a 2024 Aisera study showing non-agentic rule-based systems struggle with complex tasks due to their rigid frameworks.
– This disappointment contrasts with high expectations set by industry forecasts, like Morgan Stanley’s 2025 trends report, which predicted a surge in agentic AI adoption, suggesting a potential bubble in overhyped AI technologies as noted by X users like @OtakuProcess.
– McKinsey’s involvement in outdated AI strategies, such as using GPT-3.5 for multi-agent systems, may explain the failures, highlighting a lag in adapting to newer, more capable models like GPT-4, as evidenced by AutoGPT’s experimental success in task autonomy documented in a 2023 Medium article












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