Viewing entries tagged
artificial intelligence

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Economic Report of the President

The White House Council of Economic Advisers’ latest annual Economic Report of the President provides an analysis of key issues impacting US and international economic policy, including how long-run trends in fertility and morality are shaping the US population and labour force. The report explores when, how, and why AI may be adopted and its potential effects on labour markets.

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Generative AI and the future of work

Deloitte’s new report explores how generative AI is expected to change the structure of “work” as we know it. The report suggests a range of strategies to help prepare organisations, including the importance of creating and managing a framework that focuses and supports leadership’s vital role in guiding Generative AI-induced changes.

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Embrace experimentation, empower people

This report by IBM, in collaboration with Oracle, reveals that 40% of the global workforce will need to reskill due to implementing AI and automation over the next three years, which equates to 1.4 billion of the planet’s 3.4 billion working population. The report examines how HR can facilitate a generative AI-empowered culture and serve as key advisors in developing people-centric operating models that best position the enterprise – and the employee experience – for the future.

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Shaping the workforce of the future with AI

KPMG’s new report analyses data from over 4,000 employees from a cross-section of generations and explores employee perceptions on the future of work amid fast AI advancements, geopolitical instability, and a looming global recession. Key takeaways include workers’ lack awareness of, and confidence in, their firm’s technology strategies, with only 54% reporting their employer has adopted new technologies over the past three years.

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Future of Work Hub Discussion Forum: Priorities for 2023 and beyond

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Future of Work Hub Discussion Forum: Priorities for 2023 and beyond

This roundtable discussion looked at the evolving relationship between employers and their people and explored emerging challenges and opportunities for employers as they take steps to link sustainability and a conscious approach to environmental issues to people strategy.

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Labour Market Outlook

The CIPD’s latest quarterly Labour Market Outlook report has revealed that a quarter of organisations who are struggling to fill vacancies plan to use automation. The figure has nearly doubled since last summer, when just 13% reported considering using automation to plug gaps – an increase the CIPD attributed to the rise of generative AI tools such as ChatGPT in the past year. The survey of 2,000 employers saw four in 10 predict that AI and automation could increase productivity and efficiency, with a third anticipating cost savings and a fifth expecting enhanced decision making. However, 36% of employers see privacy and security concerns as the main drawback for implementing generative AI in their workplace. This particularly evident among employers who have banned its use. The report also uncovered the extent of shortages in the workforce, finding that as many as 41% of employers had ‘hard to fill’ vacancies. This figure stood at 51% in the public sector, compared to 38% in the private sector.

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What’s working? Navigating the AI Revolution and the Shifting Future of Work

This report by Adecco examines the world of work through the lens of 30,000 workers from 23 countries. This survey identifies worker readiness and sentiment related to the anticipated impacts of GenAI and offers recommendations to future-proof the workforce. It finds two-thirds of workers think that the impact of AI on their jobs will be positive but access to, and guidance on how to use AI could be improved. Additionally, skills will be crucial for workers in the future, with a 10% increase in the number of workers looking for progression opportunities since 2022. Organisations can help target the right skills by investing in development at all levels. The report concludes by making recommendations for employers addressing mobility; technology and transformation; skills and capabilities; and wellbeing.

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How students’ use of Generative AI will make traditional selection processes redundant

This report from Arctic Shores, includes a survey of 2,000 students and recent graduates, as well as internal data science-led research with UCL postgraduate researchers. It offers insights and practical recommendations on how to get ahead of the seismic shift in selection that Generative AI will require talent acquisition teams to make within 12 months. The research reveals that 72% of students and candidates are already using some form of generative AI regularly and advocates a two-step response for talent acquisition teams. The first step involves conducting a Generative AI Vulnerability Audit to identify potential recruitment process issues, especially concerning diversity and distortion risk. In the second step, internal recommendations are created to redesign the selection process, potentially shifting from question-based to task-based assessments and clarifying the organisation's stance on Generative AI usage on their career site.

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Making AI work for Britain

In this report, techUK spotlights cases of how AI can and is supporting people at work, boosting the quality of products and services, and improving business processes across the economy. Despite a mixed adoption picture, there is a clear indication of how AI can transform work in every business, enabling and reducing the frictions of flexible work, and driving innovation in fields and functions as diverse as human resources, customer service, marketing and sales, finance, healthcare, and sustainability.

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What drives UK firms to adopt AI and robotics, and what are the consequences for jobs?

The Institute for the Future of Work’s latest paper explores the extent of AI adoption in UK firms and how choices about the design, development and deployment of technology impact quality of work, demand for skills and the creation of new jobs. Its findings support research from other workstreams that the outcome of technological transformation is not yet determined and a future where innovation and social good advance together is achievable.

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