New research says AI agents can reach an average of 45 per cent of company data, and 30 per cent or less at the least prepared organisations. Only about half of the 300 executives surveyed trust the decisions their agents make.
Read the small print first. The study is sponsored, produced with a company that sells data infrastructure, and it reports that every single respondent plans to adopt agentic AI within two years. That last figure tells you who agreed to answer the survey, not what the market is doing.
The 45 per cent survives the scepticism, because it matches what firms find when they actually look. An agent is only as good as the systems somebody bothered to connect it to. Two thirds of the laggards blamed legacy systems for blocking both growth and real-time decisions.
Most failed AI projects I hear about were never model problems. They were plumbing problems wearing a strategy costume.
For a small or mid-sized Norwegian company, start there. List the five systems an assistant would need to read to be genuinely useful, then find out what proper access to each would cost. Do that before choosing a vendor.
Source: MIT Technology Review Insights, 2026-08-12
The full piece is worth reading if this is relevant to your operations
https://stormberry.as/ai
#AI #data #agents #Stormberry
Stormberry
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2026-09-07 12:30:21 UTC
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"content": "New research says AI agents can reach an average of 45 per cent of company data, and 30 per cent or less at the least prepared organisations. Only about half of the 300 executives surveyed trust the decisions their agents make.\n\nRead the small print first. The study is sponsored, produced with a company that sells data infrastructure, and it reports that every single respondent plans to adopt agentic AI within two years. That last figure tells you who agreed to answer the survey, not what the market is doing.\n\nThe 45 per cent survives the scepticism, because it matches what firms find when they actually look. An agent is only as good as the systems somebody bothered to connect it to. Two thirds of the laggards blamed legacy systems for blocking both growth and real-time decisions.\n\nMost failed AI projects I hear about were never model problems. They were plumbing problems wearing a strategy costume.\n\nFor a small or mid-sized Norwegian company, start there. List the five systems an assistant would need to read to be genuinely useful, then find out what proper access to each would cost. Do that before choosing a vendor.\n\nSource: MIT Technology Review Insights, 2026-08-12\n\nThe full piece is worth reading if this is relevant to your operations\n\nhttps://stormberry.as/ai\n\n#AI #data #agents #Stormberry",
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