Survey: Context Engineering Challenges Hinder AI Success
Techstrong.ai, Tuesday, March 10th, 2026
A survey of 250 IT and data team leaders published today suggests that organizations are overly optimistic about the degree to which their data is ready to be consumed by artificial intelligence (AI) applications and agents at scale.
Conducted by the market research firm TrendCandy on behalf of DataHub, the survey finds 90% of respondents reporting their organizations are AI ready, with 92% expecting to be able to deliver AI initiatives on time, the survey finds.
However, 87% cite data readiness as their biggest impediment to putting AI into production, with 61% admitting AI initiatives are frequently delayed because of a lack of trusted data. Two-thirds (66%) also frequently get biased or misleading AI insights.
The survey suggests there is a disconnect between what organizations are able to achieve when experimenting with AI and what is needed to operationalize AI at scale, says Satprit Duggal, chief marketing officer for DataHub.
In fact, a full 88% of respondents claim to have fully operational context platforms. However, 89% are also investing in context management infrastructure in the next 12 months.