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:
✅ ๐๐ฎ๐๐ฎ ๐พ๐๐ฎ๐น๐ถ๐๐ ๐ถ๐ ๐๐๐ถ๐น๐น ๐๐ต๐ฒ ๐ฏ๐ถ๐ด๐ด๐ฒ๐๐ ๐ฏ๐น๐ผ๐ฐ๐ธ๐ฒ๐ฟ, especially for large firms with complex, legacy systems
✅ ๐๐ ๐๐ฝ๐ฒ๐ป๐ฑ๐ถ๐ป๐ด ๐ถ๐ ๐ฎ๐ฏ๐ผ๐๐ ๐๐ผ ๐ฟ๐ถ๐๐ฒ, with 9 in 10 companies planning to invest more in data readiness, cloud migration, and strategy
✅ ๐๐ผ๐๐ฒ๐ฟ๐ป๐ฎ๐ป๐ฐ๐ฒ ๐ฎ๐ป๐ฑ ๐๐ฒ๐ฐ๐๐ฟ๐ถ๐๐ ๐ฐ๐ผ๐ป๐ฐ๐ฒ๐ฟ๐ป๐ ๐ฎ๐ฟ๐ฒ ๐ถ๐ป๐๐ฒ๐ป๐๐ถ๐ผ๐ป๐ฎ๐น๐น๐ ๐๐น๐ผ๐๐ถ๐ป๐ด ๐๐ต๐ถ๐ป๐ด๐ ๐ฑ๐ผ๐๐ป — 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.
๐ 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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