https://www.linkedin.com/posts/alexwang2911_mit-tech-review-a-playbook-for-crafting-ugcPost-7323319020638654464-5Wga
deployed it in three use cases or fewer.
The report from MIT Technology Review explains why, and what it will take to scale AI across the enterprise.
Based on a global survey of 205 senior executives, the report breaks down where companies are hitting friction:
✅ 𝗗𝗮𝘁𝗮 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗶𝘀 𝘀𝘁𝗶𝗹𝗹 𝘁𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗯𝗹𝗼𝗰𝗸𝗲𝗿, especially for large firms with complex, legacy systems
✅ 𝗔𝗜 𝘀𝗽𝗲𝗻𝗱𝗶𝗻𝗴 𝗶𝘀 𝗮𝗯𝗼𝘂𝘁 𝘁𝗼 𝗿𝗶𝘀𝗲, with 9 in 10 companies planning to invest more in data readiness, cloud migration, and strategy
✅ 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗰𝗼𝗻𝗰𝗲𝗿𝗻𝘀 𝗮𝗿𝗲 𝗶𝗻𝘁𝗲𝗻𝘁𝗶𝗼𝗻𝗮𝗹𝗹𝘆 𝘀𝗹𝗼𝘄𝗶𝗻𝗴 𝘁𝗵𝗶𝗻𝗴𝘀 𝗱𝗼𝘄𝗻 — 98% say they'd rather be safe than first
This tension was echoed in J.P. Morgan's recent open letter to their suppliers, where their CISO warned that companies are racing ahead with AI systems they don't fully understand.
📌 One quote from the report that stuck with me:
"Organizations with high data liquidity, the ability to get the right data at the right time, will be most successful with AI."
I'll share the full report link in the comments.
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