ETHICAL USE OF AI

Deloitte | Generative AI and the Future of Work The Potential? Boundless | This research explores the transformative impact of Generative AI on the future of work, offering actionable insights for HR leaders and executives. It examines how Generative AI is reshaping job roles, skills requirements, and organisational structures while emphasising the need for human-centric approaches to AI integration.

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Introduction

Generative AI is rapidly evolving and can potentially profoundly disrupt how we work. This technology can create original content from text and code to images and videos, supporting human expertise and skills across various industries. While Generative AI is not designed to replace humans, it will significantly change how work is done, potentially boosting innovation, productivity, and outcomes.

Key Insights

• Widespread adoption: Generative AI is experiencing accelerated growth, with ChatGPT reaching 100 million monthly active users just two months after launch.

• Job impact: Generative AI could impact up to 300 million jobs, potentially substituting 7% of current US employment and complementing 63%.

• Productivity boost: Widespread adoption of Generative AI could increase global GDP by 7% over ten years.

• Skills shift: 80% of the US workforce could have at least 10% of their tasks freed up by machines, while 19% could have at least 50% of their tasks automated.

• Gender disparity: 8 out of 10 women in the US workforce are in occupations highly exposed to Generative AI automation, compared to only 6 out of 10 men.

• Creative industries: 43% of entertainment industry workers believe Generative AI will compromise creative quality, while 40% have reservations about its effect on their roles.

• Productivity gains: A study observed a 14% productivity increase among contact centre agents using a conversational AI assistant, with the most significant gains seen among new or low-skilled workers.

Recommendations

• Adopt a researcher's mindset: Treat Generative AI integration as an organisation-wide experiment, using a scientific approach to understand and harness its potential.

• Co-create with employees: Involve workers in the AI integration process to address fears, highlight AI's potential to augment human capabilities, and foster innovation.

• Prioritise human outcomes: Focus on sustainable performance indicators considering business outcomes and human factors like well-being, job satisfaction, and skills development.

• Invest in AI literacy: Develop AI literacy programs to ensure all employees have a foundational understanding of AI's capabilities and implications.

• Build a resilient workforce: Prioritise upskilling and reskilling initiatives to create a technically skilled, adaptable, and ready-for-continuous learning workforce.

• Implement clear guidelines: Establish responsible Generative AI usage protocols, addressing ethical concerns and potential risks.

• Measure sustainable performance: Shift from traditional productivity metrics to indicators emphasising business and human outcomes.

Conclusion

Integrating Generative AI into the workplace presents challenges and opportunities for organisations. By focusing on human-centric approaches, fostering collaboration between humans and AI, and prioritising continuous learning, organisations can harness the potential of Generative AI to create more meaningful and productive work environments. Leaders must act now to prepare their workforce for this technological shift, ensuring their organisations are well-equipped to thrive in the Generative AI era.

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