Despite growing AI deployment rate, only 6.6% teams use AI tools: Survey - Business Standard

2026-06-08 · Source: artifical intelligence via Google News · Field: Business & Management — Corporate Strategy & Leadership, Human Resources & Workforce Development, Operations & Process Management · Depth: Fundamental Awareness, quick

Summary

An upGrad Enterprise survey, exclusively shared with Business Standard, reveals a significant disconnect between AI tool deployment and actual utilization within organizations. Despite 49% of organizations deploying AI and digital enablement tools, only 6.6% of teams actively use simulation-based training infrastructure for sales. The report, covering over 10,000 respondents across diverse sectors, indicates that 61% of companies desire specialized AI practice tools integrated into their existing corporate systems. Furthermore, 54% of organizations report losing at least 10% of potential revenue annually due to capability and skill deficits, highlighting a struggle to link AI adoption with measurable business outcomes.

Key takeaway

For Directors of AI/ML or VPs of Sales Enablement investing in AI tools, your focus must shift from mere deployment to ensuring active team utilization and seamless integration. The survey indicates that without specialized AI practice tools integrated into existing systems, your organization risks significant revenue loss from skill deficits. Prioritize user adoption strategies and measure tangible business outcomes, not just technology rollout, to maximize your AI investments.

Key insights

Organizations deploy AI tools but struggle with low team utilization and linking adoption to business outcomes.

Principles

• Deployment does not equal utilization.
• Skill deficits impact revenue.
• Integration drives adoption.

In practice

• Assess actual AI tool usage rates.
• Prioritize AI tool integration.
• Address skill gaps in sales teams.

Topics

• AI Adoption
• Sales Training
• Digital Enablement
• Skill Gaps
• Business Outcomes
• Corporate Training

Best for: CTO, Executive, AI Product Manager, Director of AI/ML, VP of Engineering/Data, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by artifical intelligence via Google News.