AI's potential to reshape the world is immense. McKinsey and Goldman Sachs both forecast significant impacts, with McKinsey suggesting annual labor productivity increases and Goldman Sachs predicting a notable GDP boost by 2030. Investment in AI is soaring, expected to reach $200 billion by 2025, driving market growth to $207 billion by 2030. However, ethical governance is crucial to ensure AI's benefits are equitable across society, as it holds promise for sectors like healthcare and sustainability 🤖 #AIAdoption #AIRecruitment #AI
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Most leaders may recognize the need to incorporate #digital and #AI more deeply into their businesses, but many remain skeptical of the effort and investment involved. However, building up digital and AI capabilities can generate tangible value across sectors. Companies with strong digital and AI capabilities have figured out how to generate compounding value, according to new McKinsey research. For example, digital leaders in #energy and #materials have five-year growth in total shareholder returns that is 2.3 times higher than laggards. Check out our latest insights in the report by Bryce Hall, Eric Lamarre, Rob Levin, Johannes Lorenz, and Pamela Simon 👉 https://lnkd.in/dPDqaXy8
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Marketing & Communications Specialist at Osense | Driving Carbon Management and Sustainability Initiatives.
Investors increasingly prioritize how companies manage AI and sustainability, emphasizing transparency in reporting on sustainability plans. Reliable data is crucial for understanding risks and opportunities. Studies show that investors seek clearer, more consistent, and comparable information on sustainability. They want better information, including the cost of meeting sustainability commitments and a clear road map for achieving them. Addressing this benefits companies as it helps boards and management teams improve stakeholder engagement. It ensures that material risks and opportunities are deeply integrated into governance and strategy, and transparently reported. 🌍
Investors are increasingly interested in understanding how companies manage emerging technologies specifically AI and sustainability. They closely examine these two areas to understand how companies effectively navigate challenges, while creating long-term value which is highlighted in recent studies. There is an emphasis on the need for transparent insights into sustainability plans, with investors stressing the importance of clear, accountable reporting that addresses management challenges and outlines a well-defined roadmap for meeting sustainability commitments. Furthermore, more reliable data is needed to understand how risks and opportunities impact financial assumptions. 📊 Access the full report here 👉 https://lnkd.in/dvkmRW98 As companies strive to integrate sustainability into their strategies and manage investor expectations, Osense is here to support you on this journey. 🌍 🌿 Reach out to our experts today 👉 https://lnkd.in/d_rtPmVt #sustainability #ai #scope3emissions #tech #data
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Insightful exchange with LinkedIn’s very own CEO Ryan Roslansky on the #futureofwork My key takeaways💡 👉#AI developments are disrupting the way people work in the public, private, and third sectors❗️ 👉All sectors must mobilise globally to ensure that labour markets are prepared to maximise economic gains 🤝 👉We must remember to safeguard our societies through technological shifts🌍 #innovation #labourmarket #technology
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Investors are increasingly interested in understanding how companies manage emerging technologies specifically AI and sustainability. They closely examine these two areas to understand how companies effectively navigate challenges, while creating long-term value which is highlighted in recent studies. There is an emphasis on the need for transparent insights into sustainability plans, with investors stressing the importance of clear, accountable reporting that addresses management challenges and outlines a well-defined roadmap for meeting sustainability commitments. Furthermore, more reliable data is needed to understand how risks and opportunities impact financial assumptions. 📊 Access the full report here 👉 https://lnkd.in/dvkmRW98 As companies strive to integrate sustainability into their strategies and manage investor expectations, Osense is here to support you on this journey. 🌍 🌿 Reach out to our experts today 👉 https://lnkd.in/d_rtPmVt #sustainability #ai #scope3emissions #tech #data
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As AI continues to reshape industries and drive innovation, the scale of its potential economic impact is staggering. According to PwC's 2024 AI report, "Sizing the Prize," AI could contribute up to +14% growth to the global economy by 2030, translating into an incredible $15.7 trillion uplift. 🌐 To realize this potential, significant capital investments in AI infrastructure are essential. Robust infrastructure is the backbone that will support AI-driven advancements, enabling businesses to harness the full power of AI. Investing in AI infrastructure today is not just a strategic move—it's a necessary step toward securing a prosperous and innovative future. https://lnkd.in/g-K3A9E #AI #ArtificialIntelligence #Data #Tech #Innovation
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As the #AI roll-out gathers pace, we find ourselves at an inflection point—the use cases, regulation, and arguably ownership of AI and its outputs still uncertain. The decisions taken in the next few years will determine whether its upsides are fully realized and its risks adequately mitigated. In this report we look at how AI’s consequences for human capital can be optimized, focusing on #education, workplace #productivity, and #health. Learn more in the white paper from the UBS Sustainability and Impact Institute: https://lnkd.in/eQu8pHhQ #shareUBS #Sustainability #TheInstitute #AImHigh #Technology
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AI Investment to Hit $632 Billion by 2028 The global spending on artificial intelligence is projected to reach $632 billion by 2028, according to IDC's latest report. This massive investment signals the growing importance of AI across industries. Key takeaways: CAGR of 27%: AI spending is expected to grow at a compound annual growth rate of 27% over the next five years. Sector leaders: Retail, banking, and professional services are leading in AI adoption. Regional growth: North America will continue to dominate, but the Asia-Pacific region is catching up quickly. Business leaders should consider how AI can be integrated into their strategies to stay competitive in this rapidly evolving landscape. Read the full article here: https://lnkd.in/g-vEBu_U #ArtificialIntelligence #AIGrowth #BusinessStrategy #TechTrends #IDC
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🚀 #DigitalMarketing Pioneers, Take Note: AI's Double-Edged Sword ⚖️🤖 The latest analysis from the International Monetary Fund underscores a seismic shift in the global economy, courtesy of #ArtificialIntelligence. As a leading digital marketing agency committed to delivering innovative solutions, we understand that staying ahead requires not just embracing change, but anticipating it. Here's our take on the IMF’s forecast: 🌐 Global Growth - AI is on the cusp of supercharging productivity across diverse sectors. The unparalleled efficiency and data processing capabilities of AI can lead to exponential growth. We predict a surge in demand for AI-powered marketing tools offering personalized customer experiences and real-time analytics. 💼 Job Market Evolution - AI's potential to displace certain jobs is significant, but it's not just a simple case of human vs. machine. We foresee: • A rise in novel job categories centered around AI management and ethical governance. • Reinforcement of existing roles with AI assistants, amplifying productivity and creativity. 🔍 Sharp Divide - While AI promises prosperity, it equally hints at exacerbated disparities. We stand at the forefront, championing: • Upskilling programs to equip our workforce for an AI-centric future. • Ethical AI practices to ensure technology serves the greater good. 🔗 For a deep dive into the IMF's analysis, check out: [IMF: AI could boost growth but worsen inequality](https://lnkd.in/emimk87h). We're in a pivotal era where technology's inflection point could redefine the social and economic landscape. As strategic partners to forward-thinking brands, our commitment is to innovate responsibly, empowering clients and society. Embrace AI, but with foresight and an unwavering commitment to inclusivity. #Innovation #AI #Productivity #FutureOfWork #InclusiveGrowth #EthicalAI
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🚀 The AI Revolution: A New Era of Productivity and Challenges for Knowledge Workers According to a recent McKinsey & Co. report, the advent of generative artificial intelligence (AI) is poised to usher in a new era of heightened productivity and prosperity, potentially adding $2.6 to $4.4 trillion annually to the economy. This technological leap promises to redefine the landscape of business operations, particularly in customer operations, marketing, sales, software engineering, and research and development, streamlining processes and enhancing efficiency across various sectors. However, this rapid advancement comes with its set of challenges, especially for knowledge workers. As AI technologies become increasingly integrated into business functions, tasks once considered immune to automation are now at the forefront of transformation. This shift necessitates a reevaluation of the workforce, with a significant emphasis on reskilling and adapting to new roles as AI takes over routine and complex tasks alike. The McKinsey report underscores the urgency for leadership in navigating this transition, ensuring that while we harness the potential of AI for economic growth, we also address the implications for employment and workforce dynamics. As we stand on the brink of this AI-driven revolution, the need for a strategic approach to incorporate AI into our economic fabric becomes ever more critical, balancing innovation with the well-being and evolution of the workforce. 👉 Let's discuss: How do you see the role of AI shaping the future of work, and what steps should businesses and policymakers take to prepare for this transition? #ArtificialIntelligence #FutureOfWork #EconomicGrowth #McKinseyReport #KnowledgeWorkers
Biggest Losers of AI Boom Are Knowledge Workers, McKinsey Says
bloomberg.com
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