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VC's AI Predictions for 2026
AI Summary
The episode examines why venture capitalists are forecasting 2026 as the breakthrough year for enterprise AI adoption, contrasting these hype cycles with current data that shows many firms still struggle to achieve ROI from AI projects. It highlights key barriers such as integration complexity, talent shortages, and misaligned expectations, while noting incremental improvements in model reliability and cost efficiency that could tip the scales. The host argues that while the underlying technology is maturing, genuine widespread adoption will likely depend on clearer business cases and better execution rather than just another optimistic prediction.
Episode Description
In this episode, we break down why venture capitalists are once again claiming that next year will finally be the turning point for enterprise AI adoption. In this episode, we look at the data showing why most companies still aren’t seeing ROI from AI, and whether 2026 is genuinely different or just another repeat prediction.
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Show Notes
In this episode, we break down why venture capitalists are once again claiming that next year will finally be the turning point for enterprise AI adoption. In this episode, we look at the data showing why most companies still aren’t seeing ROI from AI, and whether 2026 is genuinely different or just another repeat prediction.
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Try Delve: https://delve.co/
-
Get the top 40+ AI Models for $20 at AI Box: https://aibox.ai
-
Join my AI Hustle Community: https://www.skool.com/aihustle
-
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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