Workforce Automation Impact

We’ve all heard about AI’s potential to boost productivity. But what truly matters to me is whether it’s making work better for the people who show up every day. At Cisco, our People Intelligence team, in collaboration with IT, has been exploring this very topic, and the findings are fascinating. Here are five key insights from our research that leaders should take seriously: 1. Leaders are key to adoption. At Cisco, employees are 2x more likely to use AI if their direct leader uses it. 2. Generic AI training doesn’t work. Role-specific, practical training accelerates AI use. 3. Confidence gaps exist among senior leaders. Directors at Cisco often feel less confident with AI than mid-level employees, underscoring the need for tailored support at all levels. 4. Employee autonomy fuels adoption. Hybrid work environments are powerful accelerators for AI adoption, while mandates can hinder it. Employees who voluntarily go to the office are more likely to use AI, while those who are required to work on-site have lower adoption. 5. AI use is linked to employee well-being, but the relationship is complex, with both benefits and trade-offs that require thoughtful navigation. This is just the beginning. Next, we’re looking at how AI is transforming the way teams operate. For now, one thing is clear, employees who use AI aren’t just more productive. They’re also more engaged, better aligned with company strategy, and empowered to focus on meaningful work. #AIAdoption #EmployeeExperience #FutureOfWork

Recent data from LinkedIn reveals that 50% of job applicants are inclined not to work in the office full time, and 40% of current employees would consider quitting if forced to return full-time. Despite this, the number of job listings offering remote work has decreased significantly, leading to an ongoing tension between companies and employees regarding remote work and returning to the office.     In his recent FastCompany article, Dr. Gleb Tsipursky delves into strategies for navigating this evolving landscape. Gleb opposes a one-size-fits-all approach and recommends adopting a team-led model. In this model, management collaborates with teams to customize office arrangements based on their unique requirements. He emphasizes the importance of open dialogues with employees about the purpose of the office and aligning on its role. This kind of flexibility and openness is at the root of the approach we’re taking within my own team.    To cultivate workspaces that foster both productivity and individual growth, we must prioritize things like collaboration, social interaction, mentorship, and team cohesion within the office. By actively listening to employees and adopting a thoughtful approach, we can find the most successful #HybridWork solution. 

The fear that artificial intelligence (#AI) will replace human workers is understandable, but it’s not the full story. Companies like Alorica and IKEA are demonstrating how AI can enhance, not eliminate, jobs. By taking on routine tasks, AI allows employees to focus on more strategic and creative work — work that requires uniquely human skills. Studies show that AI can improve productivity, unlock new opportunities and even create jobs we haven’t imagined yet. It’s critical that we approach AI with curiosity and an open mind. This approach aligns with my belief that technology, when used thoughtfully, is a powerful tool for societal good. However, we must ensure that we are creating pathways for members of all communities, particularly those who have been denied access to critical resources and education, to receive the training and upskilling they need to be beneficiaries and leaders of these technologies. I’ve always been passionate about #tech because it can uplift, innovate and solve some of our biggest challenges. If we lean into the potential of AI, we’ll not only adapt to the future of work — we’ll shape it in a way that benefits everyone. https://bit.ly/3YccW8X

Transformation thrives when people are empowered to make the most of technology. 🚀 My recent visit to the Bosch production facility for automotive and eBike drives in Miskolc, Hungary, showcased this perfectly. I was deeply impressed to see firsthand how their progress in digitalization and the implementation of the Bosch Manufacturing and Logistics Platform (BMLP) is reshaping their manufacturing operations. BMLP is a globally standardized, open IT platform that connects all stages of production and logistics. During an insightful plant tour, I observed a successful example of how the platform leads to significant improvements in efficiency, quality, and data transparency across the plant. What stood out most was seeing the passionate and enthusiastic team at Miskolc leverage this technology in action and achieving great results towards operational excellence. Here are three key areas where BMLP is contributing to the plant’s digital transformation success, powered by our NEXEED IAS: 1️⃣ Enhanced Efficiency & Reduced Downtime: The module Shopfloor Management enables a closed PDCA cycle in production by consequent integration of all relevant information in one system. This leads to quick reaction in case of deviations to minimize downtimes and safeguard the daily performance targets.   2️⃣ Improved Product Quality: Continuous monitoring throughout production stages helps the team identify issues early, ensuring top-tier quality while driving process improvements.   3️⃣ Change Management: Change management plays a crucial role in digital transformation within a plant. As seen in Miskolc, effectively managing change ensures that the workforce is engaged, and equipped to embrace new technologies, driving sustainable success. In Miskolc we have seen solutions using gamification that help to involve all associates, making the transition both engaging and effective.   I was also excited to see AI in action with a live demo of 8D Analysis using GenAI, cutting failure analysis time by half. By automating the root cause analysis process, engineers are now spending less time on administrative tasks and more on proactive problem-solving – a great example of how technology empowers people. Beyond the production lines, the most rewarding part of the visit was engaging with the team. Their passion for digitalization, commitment to upskilling, and their drive for innovation truly brought home the message: technology is only as strong as the people behind it. A special thank you to the entire Miskolc team for the inspiring discussions and warm welcome – along with Volker Schilling, Klaus Maeder, Joerg Klingler, Volker Schiek, Norbert Jung, Stephan Brand, Aemen Bouafif, and everyone who joined us on this great trip. I’m excited to see what’s next on this incredible digitalization journey!

According to the World Economic Forum, "technological change, geoeconomic fragmentation, economic uncertainty, demographic shifts and the green transition — individually and in combination — are among the major drivers that are expected to shape and transform the global labor market by 2030." [1] Tech changes: Broadening digital access is anticipated to be the most transformative trend, "with 60% of employers expecting it to transform their business by 2030". Advancements in technology (AI + information processing) are also expected to drive both the fastest-growing and fastest-declining roles, and fuel demand for technology-related skills. [2] Economic factors: Increasing cost of living is the second most transformative trend, with economic slowdown remaining top of mind. Slower job growth and mixed outlook for inflation will likely drive an increase in demand for creative thinking and resilience, flexibility, and agility skills. [3] Green transition: Climate-change mitigation is the third-most transformative trend overall, driving demand for roles such as renewable energy engineers, environmental engineers, and electric and autonomous vehicle specialists. [4] Demographic shifts: Perhaps the most interesting trend of all (for me, at least), is the one around demographic shifts. Aging and declining working age populations in higher-income economies and expanding working age populations in lower-income economies are reshaping the labor markets. Aging populations will likely drive growth in healthcare jobs while growing working-age populations will fuel demand for educators. [5] Geopolitical dynamics: Geoeconomic fragmentation and geopolitical tensions are expected to drive changes in the operations of businesses, including offsohring and reshoring. Also a few interesting items to note in the report: * Technology-related roles are the fastest growing jobs (in percentage terms), including "Big Data Specialists, Fintech Engineers, AI and Machine Learning Specialists". Meanwhile, Clerical and Secretarial Workers are expected to see the largest decline (in absolute numbers). ** Due to change in demand for skillsets, the need to upskill and reskill workforce is urgent. According to the WEF report, "if the world’s workforce was made up of 100 people, 59 would need training by 2030". This is significant. It is no wonder that 63% of employers identify skills gap as a major barrier to business transformation in the next five years. #AI #Fintech #FinancialServices #FutureOfWork #BankingOnAI

The pace of change in today’s job market is unprecedented. AI, automation, and evolving business models are transforming the way we work, as well as the skills we need to thrive. The question isn’t whether your workforce will need to adapt but when. A recent Harvard Business Review, ‘Management Tip of the Day’ suggests four key steps to future-proof your workforce: 🔹 Use scenario-driven planning to map different paths your business could take, then develop leaders who could succeed in each. 🔹 Tie development experiences directly to succession goals. Identify gaps, offer stretch roles, and pair rising talent with mentors and coaching that target upcoming transitions. 🔹 Make succession planning a business priority. Treat it like any critical strategy, with clear accountability, timelines, and measurable outcomes. 🔹 Expect leaders to develop future leaders. Building talent for tomorrow should be part of every leader’s mandate At Capgemini, we’re committed to developing the next generation of leaders at every level. Through initiatives like our Leadership, Gen AI and Industry campuses, mentoring programs, and peer-to-peer learning opportunities, we aim to future-proof our workforce, close leadership gaps, and drive lasting growth and agility.   What steps are you taking to future-proof your team or workforce?

The tech industry is at a crossroads, with over 720,000 jobs cut in the last year. We explore this shift, focusing on the economic and technological forces reshaping the sector's future. This analysis delves into the dynamics behind the recent tech industry layoffs. We examine the impacts of post-pandemic hiring trends, the rise of AI, and economic pressures. We uncover the multifaceted nature of these corporate decisions and what they mean for the future of technology and its workforce through insights from experts and economic data. 🌐 #TechJobCuts: A significant shift with over 720,000 roles eliminated. 💼 #PostPandemicRebalance: Companies adjusting after pandemic hiring excesses. 🤖 #AIRise: AI's growing influence on workforce and investment strategies. 💲 #EconomicDrivers: Inflation and profitability shaping tough decisions. 🔄 #WorkforceResilience: A tight labor market offers hope for displaced tech

One of the best reports that exist. Huge fan 🙋🏼♂️ What is it about? The World Economic Forum’s bi-annual Future of Jobs Report has followed evolving technological, societal, and economic trends to understand occupational disruption and identify opportunities for workers to transition to the jobs of the future. The report comprehensively analyzes the interconnected trends shaping the global labor market. Key Takeaways: 🎯 Broadening digital access is expected to be the most transformative trend with 60% of employers expecting it to transform their business by 2030. 🎯 Increasing cost of living ranks as the second most transformative trend overall with half of employers expecting it to transform their business by 2030. 🎯 Climate change mitigation is the third-most transformative trend overall while climate change adaptation ranks sixth with 47% and 41% of employers, respectively, expecting these trends to transform their business in the next five years. 🎯 Two demographic shifts are increasingly seen to be transforming global economies and labor markets: aging and declining working-age populations, predominantly in higher-income economies, and expanding working-age populations, predominantly in lower-income economies. 🎯 Geoeconomic fragmentation and geopolitical tensions are expected to drive business model transformation in one-third (34%) of surveyed organizations in the next five years. Impact on the Labor market: 🎯 On current trends over the 2025 to 2030 period job creation and destruction due to structural labour-market transformation will amount to 22% of today’s total jobs. The creation of new jobs is 14% of today’s total employment, amounting to 170 million jobs. This growth is expected to be offset by the displacement of the equivalent of 8% (or 92 million) of current jobs, resulting in net growth of 7% of total employment, or 78 million jobs.  🎯 Frontline job roles are predicted to see the largest growth in absolute terms of volume. Care economy jobs and Personal Care Aides are also expected to grow significantly over the next five years, alongside Education roles such as Tertiary and Secondary Education Teachers. 🎯 Technology-related roles are the fastest-growing jobs in percentage terms as well as Green and energy transition roles. 🎯 Clerical and Secretarial Workers are expected to see the largest decline in absolute numbers. Similarly, businesses expect the fastest-declining roles to include Postal Service Clerks, Bank Tellers, and Data Entry Clerks. On average, workers can expect that two-fifths (39%) of their existing skill sets will be transformed or become outdated over the 2025-2030 period. Data set: This year’s edition captures the perspectives of over 1,000 employers – representing more than 14 million workers across 22 industry clusters and 55 economies. #economy #labormarket #jobs

The value of Humans + AI collaboration in the real world: an academic study of 776 R&D professionals at Procter & Gamble revealed not just substantial performance gains from AI, but a host of other gains, including in emotional state. Some of the stand out insights from the research paper (link in comments): 🚀 AI + teams unlock top-tier innovation. Teams using AI were 9.2 percentage points more likely to produce top 10% solutions compared to the 5.8% baseline—making them about three times more likely to generate standout ideas. This effect was not seen for individuals using AI, highlighting a unique benefit in combining AI with human collaboration. ⏱️ AI makes work faster and more detailed. Individuals with AI completed their work 16.4% faster, and teams with AI were 12.7% faster than their non-AI counterparts. At the same time, AI-enabled groups produced significantly longer and more detailed solutions, with higher average quality scores. 🧩 AI dissolves functional silos. Without AI, Commercial and R&D professionals proposed solutions aligned with their functional backgrounds—market-oriented vs. technical. With AI, this gap disappeared: both groups generated more balanced ideas, regardless of their original specialization. This pattern held across individuals and teams. 📈 AI lifts less experienced employees to team-level performance. Employees whose core job did not include product development performed significantly worse in the control conditions. However, when these non-core employees worked with AI, their performance matched that of teams containing core-role employees. 😊 AI improves emotional states during work. Participants using AI reported significantly higher increases in positive emotions—such as excitement, energy, and enthusiasm—and lower increases in negative emotions like anxiety and frustration. Individuals with AI experienced a 0.457 standard deviation increase in positive emotions, and AI-enabled teams saw an even larger 0.635 boost. 🏢 AI challenges traditional assumptions about team structures. The study found that individuals with AI performed as well as human teams without AI, while AI-enabled teams were significantly more likely to produce top-decile solutions. The authors conclude that this challenges long-standing assumptions about the necessity and structure of collaboration. They suggest organizations may need to rethink how they compose teams and allocate expertise in an AI-integrated environment.

Deputy's 2025 Big Shift report explores how the next generation of workers is transforming the world of hourly work. Based on millions of real-world shift data points, the research uncovers key trends shaping the future of work — from flexible scheduling to the rise of AI. Here are the top insights: Rise of Micro-Shifts: Short, flexible shifts (six hours or less) are gaining popularity, especially in hospitality and service industries, accommodating workers like students and caregivers seeking balance. Gen Z's Influence: As the largest segment of the hourly workforce, Gen Z is driving demand for flexible scheduling and work-life integration, prompting businesses to adapt to attract and retain talent. AI Integration: Artificial intelligence is enhancing shift work by optimizing scheduling and improving work-life balance, rather than replacing jobs. Poly-Employment Trend: Approximately 20% of shift workers hold multiple jobs, with young women, particularly in hospitality and healthcare, leading this trend to manage cost-of-living pressures. Gender Disparities: Women dominate shift work but often occupy lower-paying service roles. However, there's a growing presence of women in traditionally male-dominated fields like logistics. Generational Shift: Generation Alpha began entering the workforce in 2024 and is projected to surpass Gen Z by 2038, indicating ongoing evolution in workforce demographics. These findings are based on an analysis of over 278 million hours worked across 41 million shifts by more than 429,000 shift workers, conducted in collaboration with labor economist Dr. Shashi Karunanethy.