The intersection of AI maximalism with consumer behavior and enterprise IT budgets often leads to longer timelines and complexities in deployment. Enterprise IT sales cycles exceed the timeframe since new AI technologies were launched, with a significant portion of big company CIOs expecting no deployments before 2026. While there is cautiousness, cloud adoption trends suggest the contrary. Despite AI models like GPT showing potential, the transformation into practical products is challenging. Attempts to rush AI integrations into existing platforms have shown difficulties in managing inaccuracies and user experience. It is crucial to carefully develop AI products before deployment, rather than succumbing to market pressures for quick implementation.
Explore why AI is the fastest adopted work tech ever, yet still not fast enough for some. A nuanced discussion on AI’s current place in the hype cycle, insights from former a16z partner Benedict Evans, and the gap between managerial and user perceptions of AI.
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