{"id":91663,"date":"2026-01-08T08:00:00","date_gmt":"2026-01-08T16:00:00","guid":{"rendered":"https:\/\/www.salesforce.com\/?p=91663"},"modified":"2026-01-07T12:50:55","modified_gmt":"2026-01-07T20:50:55","slug":"ai-tools-lack-job-context","status":"publish","type":"post","link":"https:\/\/www.salesforce.com\/news\/stories\/ai-tools-lack-job-context\/","title":{"rendered":"76% of Workers Say Their Favorite GenAI Tools Lack Business Context, Limiting Benefits"},"content":{"rendered":"\n

New survey finds data gap limits workplace value as AI adoption accelerates<\/em><\/p>\n\n\n\n

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Generative<\/a> and agentic AI<\/a> tools are rapidly becoming workplace fixtures, with most workers gravitating toward conversational LLM<\/a> interfaces like ChatGPT, Claude, or Slack AI, according to a new survey from Salesforce and YouGov. But the research reveals a critical gap: 76% say their preferred AI tools lack access to company data or work context \u2014 the information needed to handle business-specific tasks.<\/p>\n\n\n\n

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AI that\u2019s disconnected from enterprise systems never earns sustained use. <\/p>\n Srini Tallapragada, president and chief engineering & customer success officer at Salesforce.<\/cite><\/blockquote>\n\n\n\n

The limitation shows up in how workers leverage a number of different tools, context switching across built-in and standalone consumer AI. Case in point: workers who use AI tools inside and outside their work systems, toggle between an average of four different AI options, and nearly half of those workers (45%) say AI would work better for personal tasks than work tasks. The reason appears straightforward: without access to the right business systems and data, even advanced AI tools can\u2019t address company-specific needs.<\/p>\n\n\n

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