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Why Most AI Projects Fail and The 5 Questions That Makes Sure Your AI Project is Successful and Has a ROI

PRODUCTIVITY

About this episode

Today, we're covering the single biggest reason AI projects fail, back it up with research, and arm you with 5 questions, developed by AI strategist and Former head of Google Strategy, Chris Hood, that every team should aim to answer before their next AI deployment. 

Get these questions right, and you and your company will be in the elite 5% that actually get an ROI from from their AI investment.

STUDY CITATION:

The GenAI Divide: State of AI in Business 2025", MIT Project NANDA (Networked Agents and Decentralized Architecture). Authors: Aditya Challapally, Chris Pease, Ramesh Raskar, Pradyumna Chari. Published July 2025. Research based on 52 structured interviews, a systematic review of 300+ publicly disclosed AI initiatives, and survey responses from 153 senior leaders.


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Why Most AI Projects Fail and The 5 Questions That Makes Sure Your AI Project is Successful and Has a ROI

PRODUCTIVITY

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