Insights on Professional Impact from AI Interactions

Just came across an excellent new paper from Microsoft Research: “Working with AI: Measuring the Occupational Implications of Generative AI.” https://lnkd.in/eBBfNdBk The findings are quite intuitive! Generative AI is especially impactful in knowledge work, with strong applicability across areas like administration, sales, and information analysis. But what makes the paper stand out is the way they quantify this impact. Using over 200,000 real Bing Copilot conversations, the researchers classify both user goals and AI responses using the O*NET work activity taxonomy. Then, leveraging a combination of user feedback and GPT-4 based classifiers, they assess whether the AI successfully completed the task and how significantly it contributed to the work. What’s particularly fascinating is how often AI doesn't just execute tasks - it reshapes them. In many cases, the AI ends up acting more like a coach or collaborator than a direct replacement. In fact, around 40% of the time, the AI’s actions were entirely different from the user’s original intent, revealing just how much generative AI can influence how we approach problems in the first place. The paper introduces an "AI applicability score" for occupations, a thoughtful and structured way to assess where AI is most likely to make an impact in the near term. Well worth a read if you’re thinking seriously about the future of work and how to design for AI-human collaboration!

🤖 Future of Work: Are Business Leaders Ready To Work With Cyborgs And Centaurs? A recent study with Harvard, Wharton, MIT, Warwick's Business Schools, and Boston Consulting Group (BCG) unveils the remarkable impact of AI, specifically GPT-4, on the world of high-skilled professionals. This study provides a valuable perspective for senior executives exploring the integration of AI into their business strategies. 1️⃣ Remarkable performance uplift for underperformers with AI Assistance: The study's astounding revelation was the dramatic performance improvement among the initially lower-scoring professionals. When these professionals (consultants) were equipped with AI tools, they experienced a whopping 43% jump in their performance. This highlights AI's potential as an incredible workplace equaliser, particularly for those striving to enhance their capabilities and output. It's a testament to how AI can empower every tier of talent within an organisation, boosting overall productivity and the quality of their work products. However, let's note that creating work products is a small part of a consultant's job, and most successful consultants I have met spend most of their time gaining and/or bulldozing buy-in for their ideas/recommendations. 2️⃣ Boost in Productivity & Quality: For tasks well within AI's grasp, the results are impressive – a 12.2% increase in task completion, 25.1% faster execution, and a staggering 40% rise in quality. This isn't just for the tech-savvy; benefits span all skill levels. 3️⃣ A Cautionary Note: When tasks fall outside AI's capabilities, reliance on AI can hinder performance. In a unique twist, the study designed a task to expose AI's blind spots, where consultants who did not have AI to help them excelled with an 84% success rate. However, their accuracy dropped to 60-70% when AI was employed, highlighting the critical need for discerning AI use in complex decision-making. Why did this happen? It's called the 'sleeping at the wheel' effect, where one relies heavily on the AI system to problem-solve and forgets to apply their intuition and knowledge. This underscores the importance of discerning where AI can be valuable and where human expertise is irreplaceable. The only way to know which task is which for your business? You have to dive in, test and learn. 4️⃣ New Collaboration Models: The study highlights two innovative approaches to working with AI: 'Centaurs' - professionals who delineate cleanly between the work that they will do and the work that AI will do, and 'Cyborgs' - who seamlessly inject AI into most of their work processes. Both models open new avenues for business problem-solving. Thanks for the fascinating study, Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz- Assaf, Karim Lakhani, Katherine Kellogg, Saran Rajendran, Lisa Krayer, PhD and François Candelon. 🔗 [Links to the study in comments] #BusinessTransformation #LeadershipInAI #FutureOfWork #Innovation

Just a thought before the weekend. With the introduction of new technologies certain tasks traditionally performed by junior staff are being automated. In many cases the junior position is eliminated, and residual task is redistributed to more senior employees, actually increasing their workload. Historically, the roles of secretaries and accounting clerks exemplify this transition. With the advent of personal computers and advanced software, routine tasks like typing, scheduling, and basic correspondence management, once the domain of secretaries, have been automated. Consequently, these tasks have increasingly been incorporated into the responsibilities of professionals themselves, including managers and executives. In accounting, sophisticated software has made the data entry and basic bookkeeping roles of accounting clerks redundant. These tasks are now often handled directly by accountants and finance managers, adding to their comprehensive role. In creative and technical fields, such as graphic design and engineering, advanced tools have automated tasks that were typically handled by junior staff. Senior professionals in these areas now directly engage with tools like CAD software, reducing the need for junior drafting roles. The future, shaped by GAI, will likely see an expansion of these trends. In industries like marketing and advertising, AI’s capacity to generate basic creative content might reduce the need for certain junior roles. Instead, senior marketing professionals might oversee the refinement and strategic integration of AI-generated materials. Likewise, legal services might witness AI automating document drafting and basic research, once the remit of junior staff, shifting oversight and strategic refinement to senior lawyers. Moreover, GAI is expected to make complex business platforms more accessible to a broader range of employees. This will enable senior employees without deep technical expertise to perform tasks that were previously the preserve of specialists. Consequently, the skill requirements for senior roles may grow. The result is that many professionals and managers will be responsible for a long list of simple and quick tasks, that once took much longer to perform, and were the responsibility of more junior workers. #generativeai #ai #tasks #automation

Organizational restructuring driven by AI implementation is happening faster than most professionals are prepared to handle, creating both displacement risks and advancement opportunities. The key differentiator isn't technical AI expertise - it's strategic positioning around uniquely human capabilities that complement rather than compete with artificial intelligence. Roles emphasizing relationship management, complex judgment, and trust-building remain inherently human-centered and difficult to automate. Training and change management capabilities become increasingly valuable as organizations need professionals who can help teams adapt to new AI-enhanced workflows. Cross-functional communication skills that bridge technical and business domains create essential value as AI implementation requires coordination across diverse organizational functions. Strategic thinking and creative problem-solving represent human cognitive advantages that enhance rather than replace AI analytical capabilities. The professionals thriving during AI transformation aren't those avoiding the technology, but those learning to leverage it as a productivity multiplier while focusing their human capabilities on higher-value activities. Future career security lies in becoming irreplaceable through uniquely human skills rather than trying to outperform machines at tasks they're designed to optimize. How are you preparing for AI integration within your industry and role? Sign up to my newsletter for more corporate insights and truths here: https://vist.ly/3yhre #deepalivyas #eliterecruiter #recruiter #recruitment #jobsearch #corporate #artificialintelligence #futureofwork #careerstrategist

AI is stealing jobs - or is it? The World Economic Forum analyzed over 19,000 tasks across 867 jobs to assess their exposure to automation or augmentation by AI language models. The findings show that rather than simply replacing humans, these models will likely transform many existing roles. Roles with the highest potential for automation: ↳ clerks, ↳ analysts, ↳ telemarketers and ↳ tellers. Meanwhile, healthcare and personal service professions have lower exposure overall. Importantly, roles with augmentation potential largely align with anticipated growth areas like AI specialists, data analysts and technologists. This suggests workforce transformation, not just job loss. The rapid AI advancement will create new roles as well (which is already happening), such as AI prompt engineers, ethics monitors and data curators. With 23% of jobs predicted to change in 5 years ... By understanding the nuanced impact on specific jobs and tasks, we can re-skill and up-skill to complement rather than be replaced by these powerful technologies. What's your take on this? If you've enjoyed this post, you'll love my newsletter! ✨ Subscribe: https://lnkd.in/gpzZHYYf ✨ Infographic Credit: Visual Capitalist

𝐀𝐈 𝐢𝐧 𝐀𝐜𝐭𝐢𝐨𝐧: 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐢𝐧𝐠 𝐉𝐨𝐛 𝐑𝐨𝐥𝐞𝐬 𝐚𝐧𝐝 𝐑𝐞𝐬𝐡𝐚𝐩𝐢𝐧𝐠 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 Large language models (#LLMs) and other generative AI tools are reshaping the landscape of work as we know it. As these technologies continue to evolve, it's crucial to grasp their implications across various job roles. The recent World Economic Forum report delved into over 19,000 occupational tasks, shedding light on the forthcoming AI disruptions. Here's a glimpse into its key findings: 👉 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 (𝐈𝐓): With 𝟕𝟑% of tasks expected to undergo significant alterations, areas like software quality assurance and customer support are poised for transformation. 👉 𝐅𝐢𝐧𝐚𝐧𝐜𝐞: 𝟕𝟎% of finance tasks are ripe for AI intervention, promising efficiency enhancements in bookkeeping, accounting, and auditing. 👉 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐒𝐚𝐥𝐞𝐬: 𝟔𝟕% of tasks in customer sales will be impacted, urging sales professionals to adapt to AI-driven processes. 👉 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬: Automation will play a pivotal role in 𝟔𝟓% of operational tasks, spanning supply chain management to logistics. 👉 𝐇𝐮𝐦𝐚𝐧 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬 (𝐇𝐑): While automation will touch 𝟓𝟕% of HR tasks, human judgment remains indispensable in certain areas. 👉 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠: 𝟓𝟔% of marketing tasks will undergo changes, optimizing ad targeting and campaign analysis through AI. 👉 𝐋𝐞𝐠𝐚𝐥: AI assistance will impact 𝟒𝟔% of legal tasks, particularly in contract review and legal research. 👉 𝐒𝐮𝐩𝐩𝐥𝐲 𝐂𝐡𝐚𝐢𝐧: With 𝟒𝟑% of tasks experiencing disruption, AI will enhance inventory management and demand forecasting. 🎯 Where to Focus: 𝟏. 𝐈𝐓 𝐚𝐧𝐝 𝐅𝐢𝐧𝐚𝐧𝐜𝐞 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥𝐬: Embrace AI tools for efficiency gains and stay ahead of the curve. 𝟐. 𝐔𝐩𝐬𝐤𝐢𝐥𝐥 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜𝐚𝐥𝐥𝐲: Identify areas where AI complements human judgment and invest in relevant skills. 𝟑. 𝐒𝐭𝐚𝐲 𝐈𝐧𝐟𝐨𝐫𝐦𝐞𝐝: Keep abreast of AI trends and proactively adapt to new technologies. AI isn't here to replace us—it's here to augment our capabilities! Let's harness its potential to propel us into a future of innovation and growth. 𝐒𝐨𝐮𝐫𝐜𝐞: VisualCapitalist https://lnkd.in/gYCYgn8C #AI #DigitalTransformation #GenerativeAI  #GenAI #Innovation #ArtificialIntelligence #ML #ThoughtLeadership #NiteshRastogiInsights  --------------------------------------------------- • Please 𝐋𝐢𝐤𝐞, 𝐒𝐡𝐚𝐫𝐞, 𝐂𝐨𝐦𝐦𝐞𝐧𝐭, 𝐒𝐚𝐯𝐞 if you find this post insightful • 𝐅𝐨𝐥𝐥𝐨𝐰 me on LinkedIn https://lnkd.in/gcy76JgE to stay connected with my posts.  • Ring the 🔔 for notifications!

Get ready for the future of work. It's a world where AI isn't just a buzzword but a catalyst for change, Microsoft's 2023 Future of Work Report is a goldmine of insights. The report unpacks the ways that AI and large language models are already revolutionizing our approach to work. What stands out to me is the emphasis on human-AI collaboration, not just as a technological advance but as a new frontier in workplace dynamics. It's not just about AI doing the work (and therefore replacing jobs); it's about AI augmenting human ingenuity and creativity across many sectors and disciplines. A few tidbits from the report: 1. 𝗦𝗽𝗲𝗲𝗱 𝗮𝗻𝗱 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝘄𝗶𝘁𝗵 𝗔𝗜: Knowledge workers using ChatGPT show a significant boost in speed (37%) and quality (40%), though accuracy dips slightly (about 20%). This underscores the potential for AI to enhance productivity and work quality: as long as the user is still the editor-in-chief and not just delegating the work to AI. 2. 𝗔𝗜'𝘀 𝗜𝗺𝗽𝗮𝗰𝘁 𝗼𝗻 𝗦𝗸𝗶𝗹𝗹 𝗟𝗲𝘃𝗲𝗹𝘀: Lower-skilled workers see a substantial improvement (43%) with LLMs compared to more skilled workers (17%). This insight highlights how AI can democratize skills and elevate overall workforce capabilities. 3. 𝗧𝗵𝗲 𝗘𝘃𝗼𝗹𝘃𝗶𝗻𝗴 𝗥𝗼𝗹𝗲 𝗼𝗳 𝗔𝗜 𝗶𝗻 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵: LLMs are set to revolutionize social science research by analyzing human data and generating synthetic data, suggesting a significant shift in research methodologies and outcomes. This report is a must-read for anyone navigating the evolving landscape of digital workspaces, offering a nuanced perspective on the synergy between human creativity and AI efficiency. See the full report at: https://lnkd.in/eHa32z2X

🚀 The AI Revolution and Upskilling: Navigating the Future of Work A recent report by the International Monetary Fund (IMF) brings to light a pressing issue in today’s rapidly evolving job landscape. According to their analysis, a staggering 40% of jobs globally are at risk of being influenced by artificial intelligence (AI). This statistic rises to 60% in advanced economies. This seismic shift could exacerbate existing inequalities, benefiting some while leaving others facing job loss or reduced wages. 🔍 Understanding the Impact In advanced economies, the integration of AI is a double-edged sword. While it can enhance efficiency and create new opportunities, it also poses significant challenges for those whose jobs are susceptible to automation. The disparity in impact raises concerns about widening the gap in income and job security. 🌉 Bridging the Gap: Upskilling for the AI Era To navigate this transition, upskilling becomes not just beneficial, but essential. Here are key areas to focus on: 1. Tech Savvy Skills: Understanding the basics of AI and machine learning can make you an invaluable asset. This doesn’t mean you need to be a tech wizard, but having a grasp of how these technologies work in your field can give you an edge. 2. Emotional Intelligence: AI is far from replicating human empathy and emotional intelligence. Skills like communication, empathy, and leadership will become more valuable as they complement AI’s analytical capabilities. 3. Creative and Critical Thinking: AI excels in handling routine tasks, but creative problem-solving and innovation remain distinctly human traits. Developing these skills can make you indispensable in an AI-dominated job market. 4. Lifelong Learning: The only constant in the AI era is change. Adopting a mindset of continuous learning and adaptability is crucial. 5. Cross-disciplinary Knowledge: Combining knowledge from different fields can lead to innovative solutions that AI alone cannot achieve. Cultivating diverse knowledge and perspectives is key. 🌐 In Conclusion The rise of AI presents challenges but also opportunities. By focusing on upskilling and adapting, we can not only survive but thrive in this new era. Let’s embrace this change and turn it into an avenue for personal and professional growth! Link in comments. #AI #FutureOfWork #Upskilling #CareerDevelopment #Innovation

After participating in a series of Gen AI events, we've compiled a summary of our insights regarding the implications that workforce planners should take into account. 1. Leveraging Gen AI, we can enhance productivity with early career talent. As a result, we can do more with early career talent 2. It's essential to reconsider the experience requirements outlined in job descriptions as due to automation, this may change 3. Particular roles, such as Data Engineering, Prompt Engineering could become pivotal and potential bottlenecks without careful planning. 4. AI integration will not merely augment tasks but will be fully integrated into job functions. 5. The Analysts' talent pool must receive training in newer generative AI skills. 6. Initiating projects sooner may be advantageous in some cases, while in others, a different approach may be preferable. 7. Developing comprehensive cost models for Gen AI, including setup, deployment, and yearly operational expenses, will be a critical aspect of Workforce Planning. 8. Proficiency in interpreting and understanding data limitations will become a vital power skill. 9. Smaller talent pool ecosystems will gain prominence, shifting the focus towards the quality of available talent. 10. Collaboration and connectivity between enterprises, universities, research institutions, and professors will significantly expand as enterprises explore advanced AI applications. Draup #workforceplanning

Since Ben Purton posted about this and Paul Butterfield 📕 wanted research on this, I thought I would weigh in a bit more regarding #2024 and what is coming up in #enablement specifically with #aiadoption in both our profession and across GTM teams in general. Meganne Brezina, CCMP™ we also talked about this, this morning. Below is research based gains from #AI and in my opinion, are conservative. 🕒 Time Savings with AI: McKinsey & Company's Insight AI slashes up to 20% off data processing time, yielding 10-15% weekly time savings for enablement professionals - that's 4-6 extra hours weekly. (Source: McKinsey & Company, 2020) 📈 Boosting Productivity: Accenture's Data AI can surge productivity by 10-20%, streamlining project management and team efficiency (Source: Accenture, 2018). 🎯 Quality of Work: Deloitte's Analysis Deloitte reports a 15-25% improvement in output quality through AI in enablement roles (Source: Deloitte, 2020). 😊 Employee Engagement: Gartner's Findings AI enhances job satisfaction, potentially boosting retention (Source: Gartner, 2019). 💰 Cost Efficiency: IBM's Perspective A 10% time saving equals $6,000 annual productivity gains for a $60,000/year enablement professional (Source: IBM, 2021). 📊 Revolutionizing Sales: HubSpot's 2023 Report AI in sales saves over two hours daily, with 73% of professionals gaining unique insights, 65% understanding customers better, and 69% personalizing experiences more effectively (Source: HubSpot, 2023). Business Case Scenario 1: Team of 1 Enablement For an individual enablement professional earning $60,000 annually: ➡ Time Saved: Approximately 200 hours annually (4 hours/week). ➡ Productivity Increase: Equivalent to $6,000 (10% of the salary). ➡ Improved Quality of Work: Reduced rework and enhanced efficiency. ➡ Sales Effectiveness: With AI's impact, sales effectiveness can increase significantly. Automation of administrative tasks alone can boost sales rep efficiency by at least 27%, and organizations report a minimum of 5% revenue increase due to AI in marketing and sales (Source: Businessolution.org, 2023). Business Case Scenario 2: Team of 5 Enablement For a team of five enablement professionals, each earning $60,000: ➡ Time Saved: 1,000 hours annually (20 hours/week across the team). ➡ Productivity Increase: Equivalent to $30,000 (10% of total salaries). ➡ Improved Output Quality: Less rework, higher efficiency. ➡ Sales Effectiveness: For teams, the impact of AI is even more pronounced. Alongside a 27% efficiency increase, lead generation can improve by up to 50%, and revenue generation by at least 5% due to enhanced marketing and sales strategies (Source: Businessolution.org, 2023). In essence, AI doesn't just streamline processes; it's a strategic investment with tangible returns. #AI #BusinessGrowth #Productivity #Enablement #CostEfficiency #GTMAIAcademy