This report from Boston Consulting Group and Nasscom reveals that while women in tech exhibit high career ambitions and recognise the importance of generative AI for their professional growth, they face challenges such as knowledge gaps, limited access to emerging technologies, and concerns about competence scrutiny. The report explores how generative AI can be a catalyst for women, historically underrepresented in technology roles, to overcome barriers and excel in their careers. It highlights that companies with diverse leadership teams not only promote equity but also achieve superior financial performance and can develop ethical and effective AI systems, identifying and mitigating biases while driving innovation.
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This report from McKinsey suggests that as many employees adopt generative AI at work, companies are struggling to follow suit. The research finds that early adopters prioritise talent and the human side of generative AI more than other companies - nearly two-thirds of them have a clear view of their talent gaps and a strategy to close them, compared with just 25% of experimenters. They also focus heavily on upskilling and reskilling as a critical part of their talent strategies, as hiring alone isn't enough to close gaps and outsourcing can hinder strategic-skills development. The report recommends that in order to harness employees' enthusiasm and stay ahead, companies need a holistic approach to transforming how the whole organisation works with generative AI and transform their processes, structures and approach to talent - the technology alone won't create value.
This research by The Upwork Research Institute reveals that 71% of full-time employees are burned out and 65% report struggling with employer demands on their productivity. Leaders are optimistic that generative AI will boost productivity, with nearly 96% saying they expect the use of AI to increase their company's overall productivity levels. However, new technology has not yet fully delivered on this productivity promise: nearly half (47%) of employees using AI say they have no idea how to achieve the productivity gains their employers expect, and 77% say these tools have actually decreased their productivity and added to their workload.
Thomson Reuters' latest report, based on data from 2,200 professionals and C-level corporate executives from over 50 countries, reveals that the rise of AI and Gen AI remains the dominant issue that respondents see propelling change in their respective professions. The report explores what professionals think about how AI can improve both workplace efficiency and add value to their work products and client services, revealing that AI-powered tech could free up the average professional as much as four hours per week in the next year.
This report from PwC reveals that more than two-thirds of employees (68%) say they have experienced more changes at work in the past year than in the 12 months prior. The top three areas of change at work are: use of new tools and technologies (48%), increased workload (46%) and changes in team structure and daily responsibilities (both 43%). The research reveals that employees are increasingly prioritising career growth and willing to switch jobs to develop their skills, with 78% agreeing that learning opportunities influence their decision on whether to leave their current employer. Non-financial rewards are as critical as pay - employees rank financial reward (77%), fulfilment (69%), and flexibility (64%) as their top job priorities. This year's findings also reveal a heightened expectation for employers to address climate change and reduce their environmental impact, suggesting the need for a proactive response from employers to ensure alignment with their workforce.
The World Economic Forum’s latest Top 10 Emerging Technologies report explores how breakthroughs in artificial intelligence (AI) such as deep learning, generative AI and foundation models have enabled remarkable progress in strengthening human innovation. The report delves into the specifications of the top 10 emerging technologies of 2024 and how they can help improve the state of the world.
The latest PwC Global Workforce Hopes and Fears Survey reveals that more than half of workers feel there's too much change at work happening at once, and 44% don't understand why things need to change at all. The report proposes six actions businesses can take to build a future-fit workforce in an age of transformation, including (1) leading in new ways to build resilience among a stressed out workforce; (2) engaging employees on change to drive transformation; (3) helping employees lead on innovation; (4) instilling confidence in Gen AI; (5) recognising how critical skill-building is to workers; and (6) prioritising the employee experience for performance.
This report from the IMF explores how fiscal policies can be employed to steer generative AI and its deployment in ways that serve humanity best while cushioning the negative labour market and distributional effects to broaden the gains. Given the vast uncertainty about the nature, impact, and speed of developments in generative AI, the report calls on governments to take an agile approach that prepares them for both business as usual and highly disruptive scenarios.
A new global survey of desk workers by Slack’s Workforce Lab finds that two-thirds of workers have still not tried AI tools and 93% do not consider AI outputs completely trustworthy for work-related tasks. The research reveals an AI gender gap emerging, which is the largest among Gen Z. While young people are the most likely to have experimented with AI tools, Gen Z men are 25% more likely to have tried AI tools compared to Gen Z women. The study sets out the PET plan – permission, education, and training – for leaders to encourage greater uptake in workplace AI.
McKinsey's 2024 Global Survey on AI reveals that 65% of respondents report that their organisations are regularly using gen AI, nearly double the percentage from last year's survey. The research reveals that organisations are already seeing material benefits from gen AI use, reporting both cost decreases and revenue jumps in the business units deploying the technology. The survey provides insights into the risks presented by gen AI - most notably, inaccuracy - as well as the emerging practices of top performers to mitigate those challenges and capture value.