How Advanced Technologies Shape Future Workplaces

Every customer and government leader I meet is asking, “How can we make AI a force for good for our people, and not a threat?” 92% of jobs are expected to undergo some level of transformation due to advancements in AI. The work begins with identifying and enabling the new skills and training needed for AI preparedness. That’s why I’m honored to share the insights from the AI-Enabled ICT Workforce Consortium's inaugural report, “The Transformational Opportunity of AI on ICT Jobs.” This report examines the impact of AI on 47 ICT job roles and offers tailored training recommendations. It's a unique guide to the skills needed for the AI future, with recommendations that couldn't be clearer, timelier, or more urgent. Here are some of the top takeaways: - 92% of ICT jobs will undergo high or moderate transformation due to AI. - 40% of mid-level and 37% of entry-level ICT positions will see high levels of transformation. - Skills like AI ethics, responsible AI, prompt engineering, and AI literacy will become crucial. - Foundational skills such as AI literacy and data analytics are essential across all ICT roles. Read the full report here: https://lnkd.in/gWfPc8WT The risks associated with an under-skilled, unprepared workforce are global in scale, ranging from economic wage gaps to trade imbalances, technological stagnation, social and ethical issues, and national security threats. This creates a pressing need for a coordinated effort to reskill and upskill employees around the world. By investing in a long-term roadmap for an inclusive and skilled workforce, we can help all populations participate and thrive in the era of AI. Led by Cisco and joined by industry giants like Accenture, Eightfold, Google, IBM, Indeed, Intel Corporation, Microsoft, and SAP the Consortium will train and upskill 95 million people over the next 10 years through their individual organizations' commitments.

The future of work isn’t coming. It’s already here. In a conversation with HR leaders today, one thing became clear: the real transformation isn’t just about AI tools... It’s about people, trust, and new ways of working. Three shifts every HR leader should have on their radar: 1. From roles to relationships. The idea of humans and AI agents becoming teammates. Designing how they collaborate will be core to workforce strategy. 2. AI is the new workforce. It’s time to think beyond talent management. HR must learn to onboard, govern, and even performance-manage AI. 3. Culture is everything. Adoption won’t come from tech. It will come from trust. Culture is now the operating system for Human–AI collaboration. Resonance AI defines the future of work as hybrid, not just people and AI, but a new kind of partnership.

The Future of Work isn't what you think... According to recent AI ALPI research, we're witnessing a fundamental shift that's bigger than remote work, AI adoption, or digital transformation. Here's what's really happening → 1. Skills Renaissance ↳ 77% of jobs will require hybrid skills by 2030 ↳ Technical expertise alone won't cut it anymore ↳ The most valued skill? Adaptability quotient (AQ) 2. Micro-Careers Are The New Normal ↳ Average worker will have 6-8 distinct careers ↳ 40% of roles today won't exist in 5 years ↳ Career paths are becoming fluid, not linear 3. The Great Power Shift ↳ 65% of employees now prioritize purpose over paycheck ↳ Talent holds more leverage than ever ↳ Companies competing on culture, not just compensation But here's the real game-changer → The emergence of "Portfolio Professionals" – workers who blend: • Deep expertise in one domain • Broad knowledge across multiple fields • Strong technological fluency • Human-centric soft skills Think of it this way: The industrial age needed specialists. The information age needed generalists. The AI age needs synthesists. The winners in this new era won't be those who resist change or those who chase every trend... It will be those who master the art of continuous evolution while staying anchored to their core strengths. 💡 Key Insight: Organizations that thrive will build "learning ecosystems" not just "working environments." This isn't just another workplace trend. It's a fundamental reimagining of how value is created and captured in the modern economy. Are you ready for this shift? 🔥 Want more breakdowns like this? Follow along for insights on: → Getting started with AI in HR teams → Scaling AI adoption across HR functions → Building AI competency in HR departments → Taking HR AI platforms to enterprise market → Developing HR AI products that solve real problems #FutureOfWork #Leadership #Innovation #HR #AIStrategy

The Future of Work: When AI Actually Knows Your People The most successful organizations will have one thing in common: Their AI systems will know their people better than their managers do. Not in a creepy way. In a powerful way. Imagine AI that knows John's presentation style improves when he gets feedback 24 hours before, not 24 minutes. AI that recognizes when teams are about to hit creative blocks and suggests interventions. AI that can predict which employees are ready for stretch assignments based on demonstrated skills, not self-reported capabilities. This isn't science fiction. It's the inevitable result of treating work and development as a single, integrated experience. The latest technical breakthroughs in AI inference are making this possible. Advanced systems can now analyze behavioral patterns, communication styles, and work interactions in real-time to build comprehensive skills profiles—not from what people say they can do, but from what they actually demonstrate while working. While most organizations separate "doing" from "learning," we at Infopro Learning, Inc are working with learning and talent development leaders to build systems where every work interaction becomes development data, and every development moment enhances work performance. The breakthrough isn't better AI tools. It's creating the integrated context that lets AI understand how your people actually work, learn, and grow. Organizations that figure this out first will have AI systems that don't just assist—they anticipate, adapt, and amplify human potential in ways that seem almost magical. The question isn't whether AI will transform your workforce. The question is: Will you give AI the context it needs to transform it intelligently? How are you preparing your organization for truly context-aware AI? #AIEvolution #WorkforceTransformation #TalentStrategy #LearningandDevelopment #FutureReady #PerformanceReadyWorkforce

Lots to unpack in this article (It’s a long one) 1. AI Automates Tasks, Not Jobs: - AI and machine learning automate specific tasks rather than entire jobs. - The impact on jobs is not a direct one-to-one replacement but a transformation of job roles. 2. Productivity Gains: - AI tools can significantly increase worker productivity. For instance, automated coding tools can make software developers 30-40% more productive. - These tools shift the emphasis to higher-level awareness and management of the work, requiring human oversight. 3. Economic Impact and Job Security: - The fear of AI taking jobs is rooted in economic concerns. - While AI may reduce the need for certain tasks, it will also create new demands for tasks that cannot be automated, balancing job availability. 4. High-Level Tasks Remain Human: - Creative, strategic, and problem-solving tasks are less likely to be automated. - Human roles will evolve to focus more on these high-level tasks, which require human intuition and judgment. 5. Economic Feasibility of Automation: - The cost of automating tasks with AI is a significant factor. High implementation and maintenance costs may slow down AI adoption. - Only tasks that are both technically feasible and economically viable are likely to be automated. 6. Long-Term Job Creation: - Historical trends show that technological advancements create new industries and job roles. - AI will likely follow this pattern, disrupting some jobs while creating new opportunities. 7. Adapting to AI: - Workers are encouraged to upskill and reskill to remain relevant in the evolving job market. - Businesses need to strategically integrate AI into their operations to maximize benefits and minimize disruptions. 8. Industry-Specific Impacts: - The impact of AI varies by industry. For example, interior design might automate technical tasks but retain human-driven creative work. - Different industries will experience varying degrees of job transformation based on the nature of their tasks.

Harvard and Wharton just discovered a shocking truth: They conducted an experiment at Procter & Gamble where human teams faced off against solo workers with AI tools. Here are 3 game-changing findings that challenge everything we know about AI in the workplace: Finding #1: AI functions as a true teammate, not just a tool. The study of 776 P&G professionals revealed how ONE person with AI performed at the same level as TWO humans working together. Even more striking: AI-assisted teams performed best overall while working faster. AI-equipped workers were also more likely to generate the top 10% of solutions. This isn't just a minor productivity boost—it's a fundamental shift in how work can be done. Finding #2: AI bridges departmental knowledge gaps. When teams used AI tools: • R&D proposed more commercially viable ideas • Commercial teams developed more technically sound solutions AI tools effectively bridged expertise gaps, creating more well-rounded solutions regardless of someone's background. Finding #3: AI improves the emotional experience of work. The researchers expected resistance to AI. Instead, they found the opposite: • Higher excitement and enthusiasm • Lower anxiety and frustration • Better emotional experience than traditional teamwork This challenges everything we thought we knew about human-AI collaboration. AI-equipped teams are producing top-tier solutions more often and completing work 12-16% faster than their counterparts. This isn't a distant future scenario—it's happening now. The question isn't whether AI will change your work environment, but whether your organization will adapt quickly enough. - Thanks for reading! I'm Baptiste Parravicini: • Tech entrepreneur & API visionary • Co-founder of APIdays, the world's leading API conference • Passionate about AI integration & tech for the greater good Want more on becoming the future of tech? Check out the comments ⬇️

The pace of workplace disruption has fundamentally shifted. What historically required decades to transform entire industries is now happening within years, driven by rapid advances in AI and automation technology.   This acceleration creates a critical challenge for professionals: traditional career strategies built around deep specialization in single domains are becoming increasingly risky.   The emerging pattern I'm observing across industries: • Roles requiring repetitive, single-function tasks are being automated faster than anticipated • Organizations are prioritizing candidates who can navigate multiple functional areas • Job descriptions increasingly require hybrid skill sets that didn't exist five years ago • Career security is shifting from expertise depth to adaptability breadth   Skill stacking - the deliberate cultivation of complementary capabilities across different domains - has evolved from a career enhancement strategy to a survival necessity.   Professionals who build unique combinations of technical proficiency, analytical thinking, and human-centered skills create value propositions that are difficult to replicate through automation.   The question isn't whether your industry will be affected by this transformation, but how quickly you can position yourself ahead of these changes.   What skill combinations are you developing to remain competitive in this rapidly evolving landscape?   Sign up to my newsletter for more corporate insights and truths here: https://lnkd.in/ei_uQjju   #deepalivyas #eliterecruiter #recruiter #recruitment #jobsearch #corporate #skillstacking #futureofwork #automation #careerstrategist

In Davos last week, the future of AI and its role in reshaping industries and the workforce was front and center. At the Upwork Research Institute, our latest data reflects how AI is transforming workflows and empowering professionals, showing 268% year-over-year growth on Upwork in AI-related jobs in *non-technical* fields like design, marketing, and translation. Even more striking, 58% of these roles are high-value projects, and in categories like Translation, 86% of AI-related jobs are high-value opportunities. 💡What does this mean? Aligning with the broader sentiment at the World Economic Forum, AI isn’t just a tool for tech specialists and data scientists; it’s transforming industries by enabling professionals across disciplines and roles to access high-value work without requiring deep technical expertise. From writers leveraging AI to refine content, to designers creating 3D models without coding, to administrative professionals overseeing AI-powered workflows, the potential for human-AI collaboration is immense. This isn’t about replacing jobs; it’s about reimagining workflows, enhancing creativity, and empowering professionals to focus on strategic, high-value work. The future of work is here, and AI is the key that’s opening doors for talent everywhere. 📖 To learn more about this research, see the link in the comments. #Upwork #FutureOfWork #AI #Innovation

🚨 170 million new jobs will be created by 2030, but 92 million will be displaced. That’s a 22% churn rate across global employment, per the World Economic Forum’s Future of Jobs Report 2025. The transformation is already well underway. The question is: Are your workforce strategies ready for what’s coming? Here’s what stood out from the data 👇 🧠 82% of the shift to automation and AI-human collaboration will happen within just 5 years. The timeline is short—teams need to act now to redesign workflows, tools, and roles accordingly. 👩💻 By 2030, only 34% of tasks will be performed solely by humans. Organizations that delay automation readiness will fall behind as task distribution rapidly evolves. 🤖 Automation will handle 33% of tasks, and another 33% will involve AI-human collaboration. The future of work isn’t machines versus humans—it’s machines with humans. 📉 Roles like Data Entry Clerks and Telemarketers are in steep decline. Redundant, repetitive tasks are vanishing—reskilling and mobility strategies are critical for talent at risk. 🚀 AI & Machine Learning Specialist roles are projected to grow by over 40%. Demand is skyrocketing—how are you building your pipeline for high-growth, high-scarcity roles? 🌍 AI, big data, and automation will displace 9 million jobs—but create 11 million more. Tech isn’t just a threat—it’s also the single largest driver of net job creation in this decade. ⚡ Green-skilled roles are among the 15 fastest-growing, per LinkedIn data. Environmental Engineers and Sustainability Specialists are rising fast—green skills are no longer niche. 💼 85% of companies say upskilling is part of their 2030 workforce strategy. People leaders are investing heavily in capability building—not just headcount planning. 📈 Despite disruption, net job growth is projected at 78 million globally—a 7% increase. The question isn’t if jobs will grow—it’s who will be positioned to benefit from that growth. 🚨 44% of workers without access to digital tools or reskilling are at risk of being left behind. Talent equity and access to upskilling will define the winners and losers of the next workforce era. We’re seeing People teams shift from managing roles to managing capabilities. They’re leveraging skills intelligence, performance data, and internal mobility analytics to prepare for the re-skilling revolution already underway. 📥 Check out the full World Economic Forum report in the comments below. Are your workforce strategies aligned to what’s coming? #PeopleAnalytics #FutureOfWork #GenAI #WorkforceTransformation #TalentStrategy #AIWorkforce

"I would double my output in a heartbeat" is what one CEO says about AI. AI is undoubtedly transforming the workplace, but it's not just about cutting costs. The real value lies in how we use the time it frees up. Instead of simply automating tasks, forward-thinking leaders are focusing on investing in employee development to build a future-proof organization. As AI handles more routine tasks, there is an opportunity to invest in directly upskilling the human workforce. Pivoting from competencies to skills-based approaches allows employees to develop concrete, trainable abilities. Upskilling not only enhances the organization's capabilities but also increases employee satisfaction through appreciation for growth opportunities. This shift to value-added activities can lead to increased output without necessarily increasing headcount. It's about more than efficiency; it's about unlocking human potential. #AI #Leadership #Productivity #Innovation #WorkforceDevelopment