Gartner Survey: 67% of Mature Firms Create Generative AI Roles

A recent Gartner survey reveals that 67% of mature organizations are creating new roles for generative artificial intelligence (GenAI), with 87% having a dedicated AI team, highlighting the growing demand for GenAI talent and the need for responsible AI development and implementation in the business sector." This description focuses on the primary topic of GenAI adoption and its impact on the job market, the main entity being the organizations surveyed, and the context being the business sector. It also touches on the significant action of creating new roles and the implication of responsible AI development. The description provides objective and relevant details that will help an AI generate an accurate visual representation of the article's content, such as depicting a business setting with AI-related elements, people working with AI systems, or charts and graphs illustrating the survey's findings.

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Bijay Laxmi
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Gartner Survey: 67% of Mature Firms Create Generative AI Roles

Gartner Survey: 67% of Mature Firms Create Generative AI Roles

A recent Gartner survey of 703 respondents in the US, UK, and Germany found that 67% of mature organizations are creating new roles for generative artificial intelligence (GenAI), with 87% having a dedicated AI team. The survey reveals the growing demand for GenAI talent as organizations recognize the technology's potential to transform business operations.

Why this matters: The widespread adoption of GenAI roles signals a significant shift in the way businesses operate, with potential long-term implications for the job market and the economy as a whole. As organizations increasingly rely on AI, it is essential to ensure that the development and implementation of these technologies are responsible and equitable.

According to the findings, 53% of chief data and analytics officers (CDAOs) have already deployed GenAI or committed to pilot it in the next six months. However, a lack of skills and staff remains a major roadblock prohibiting data and analytics teams from being successful. To address this challenge, new roles are emerging due to advances in AI, including knowledge engineers, model managers, AI ethicists, and heads of AI.

The survey also highlights the importance of data and AI literacy in driving the adoption of these technologies. 39% of CDAOs are already running a GenAI literacy program for the broader organization, and 26% are committed to deploying it within six months. Gartner predicts that by 2028, "one out of four regretted staff attrition will be attributable to managers' lack of data literacy."

Despite the growing reliance on AI, the human role remains crucial in giving context and driving the adoption of data analytics and AI within organizations. While AI-led machines can assist data and analytics teams, humans must evaluate and control the results to avoid errors. This underscores the importance of data governance as a core aspect of ensuring responsible AI use.

The Gartner survey provides valuable insights into the current state of GenAI adoption and the emerging roles and skills required to harness its potential. As organizations continue to invest in AI and data analytics, fostering a culture of data and AI literacy will be essential to drive successful implementation and realize the technology's transformative benefits.

Key Takeaways

  • 67% of mature organizations are creating new roles for generative AI (GenAI).
  • 87% of organizations have a dedicated AI team, highlighting growing demand for GenAI talent.
  • 53% of CDAOs have deployed or will pilot GenAI in the next 6 months, but skills gaps remain a challenge.
  • New roles emerging due to AI advances include knowledge engineers, model managers, AI ethicists, and heads of AI.
  • By 2028, 1 in 4 regretted staff attrition will be due to managers' lack of data literacy, predicts Gartner.