The State of Generative AI in Enterprise

Deloitte Report Linked Here

Key points from the report

High Excitement but Mixed Emotions: Generative AI sparks significant excitement, with 62% of leaders enthusiastic, but there is also uncertainty about its broader implications and pressures from rapid adoption.

Transformative Potential: 79% of respondents expect generative AI to drive substantial transformation in their organisations within the next three years, with 31% anticipating major changes within one year.

Focus on Efficiency Over Innovation: Current efforts are mostly aimed at improving efficiency, productivity, and reducing costs, with fewer organisations prioritising innovation and growth at this stage.

Talent Skill Gaps: A lack of technical talent is a major barrier, with less than half (47%) of organizations adequately educating their workforce on generative AI capabilities.

Workforce Reskilling: Only 36% of organizations are actively reskilling workers whose roles are impacted by generative AI, indicating a significant gap in preparing the workforce for this technology.

Reliance on Off-the-Shelf Solutions: Most organisations are still primarily using off-the-shelf generative AI solutions, such as public large language models, indicating a lack of more specialised, tailored tools.

Call for Regulation and Global Collaboration: 78% of leaders are advocating for more government regulation, and 72% believe there is insufficient global collaboration to ensure the responsible development of AI.

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