How AI can Improve Human Skills

The inaugural LinkedIn Skills on the Rise list is out, and here's what's fascinating: AI Literacy isn't just #1— AI can actually help you develop the #2 and #3 skills on the list! (Conflict Mitigation and Adaptability) This synergy creates a powerful opportunity for professional growth in 2025. 1️⃣ AI LITERACY What's the best way to build your—and your team's—AI skills fast? Here are tips from my new book, "How to Think with AI": 1.    Take the leap now: Don't wait for perfect clarity or "when you have time." The opportunity cost of waiting rises every quarter as AI advances. 2.    Try using AI as a thought partner: Instead of basic requests, challenge AI with sophisticated problems—a conflict with a colleague, a market opportunity analysis, or a strategic decision. Higher expectations lead to more valuable results. Keep the dialogue going with follow-up questions and feedback—AI improves through conversation. 3.    Make it a habit: If you are struggling to fit AI into your life, apply the five-minute rule. Start with just five minutes of AI interaction daily, and do that for a month—small enough not to feel like work but consistent enough to build the habit. Every day, ask yourself "how could AI help me today?" to expand your thinking of where AI can deliver value to you. 2️⃣ CONFLICT MITIGATION Try using AI as a "neutral" perspective: AI can serve as an impartial "third party" to evaluate different sides of a conflict. Have it role-play various stakeholders to simulate negotiations before difficult conversations, helping you anticipate objections and prepare responses. This preparation can significantly reduce tension when addressing real conflicts. 3️⃣ ADAPTABILITY AI supercharges your ability to navigate change. For example, try this: Future scenario planning: AI excels at exploring multiple possible futures and their implications. Challenge AI to generate diverse scenarios for upcoming changes—from market shifts to organizational restructuring—and work through potential responses for each. Perspective expansion: AI can help you view situations through different lenses —customers, competitors, regulators, different generations, diverse cultural viewpoints—revealing blind spots in your thinking. ____ 👋 Hi, I'm Alison McCauley, and focus on how to leverage AI to do better at what we humans do best. I'll be sharing more about how to Think with AI to boost your brainpower. Follow me for more, and share your thoughts below! https://lnkd.in/gQgA6sGi

AI isn’t replacing human workers. It’s fueling the next creative revolution. Here’s how: I call this the AI Paradox. As AI takes over more tasks, we gain more opportunities to develop uniquely human skills that machines cannot replicate. Let's break down the ripple effects of this paradox: 𝟭𝘀𝘁 𝗢𝗿𝗱𝗲𝗿 𝗘𝗳𝗳𝗲𝗰𝘁: 𝗔𝗜 𝗙𝗿𝗲𝗲𝘀 𝗨𝗽 𝗦𝗽𝗮𝗰𝗲 𝗳𝗼𝗿 𝗖𝗿𝗲𝗮𝘁𝗶𝘃𝗶𝘁𝘆 We're already seeing this across industries. → In healthcare, AI handles admin tasks, allowing medical staff to focus on patient care. → Architects use AI for blueprint drafting, freeing up time for design. → Financial advisors leverage AI for data analysis, concentrating on strategic planning and relationship-building. The pattern is clear: AI handles the routine, and humans do the interesting stuff. 𝟮𝗻𝗱 𝗢𝗿𝗱𝗲𝗿 𝗘𝗳𝗳𝗲𝗰𝘁: 𝗖𝗿𝗲𝗮𝘁𝗶𝘃𝗶𝘁𝘆 𝗕𝗲𝗰𝗼𝗺𝗲𝘀 𝗮 𝗖𝗼𝗿𝗲 𝗦𝗸𝗶𝗹𝗹 As companies automate more, they'll need people who bring something AI can't: → creativity → emotional intelligence → out-of-the-box thinking The World Economic Forum already sees this trend, with creative thinking topping the list of growing skills. While tech & design fields are already putting creativity front and center, traditional sectors will have to adapt quickly to tap into the power of creativity. Efficiency alone won't set them apart—creativity is the key to staying competitive. 𝟯𝗿𝗱 𝗢𝗿𝗱𝗲𝗿 𝗘𝗳𝗳𝗲𝗰𝘁: 𝗧𝗵𝗲 𝗥𝗶𝘀𝗲 𝗼𝗳 𝗛𝘆𝗯𝗿𝗶𝗱 𝗥𝗼𝗹𝗲𝘀 Get ready for jobs we've never seen or heard before. Picture this: → Data Storytellers turning raw data into compelling narratives → AI-Assisted Curriculum Developers creating personalized learning experiences → AI-Augmented Urban Planners designing cities of the future These roles will require the combination of technology and creativity to produce something greater than the sum of its parts. 𝟰𝘁𝗵 𝗢𝗿𝗱𝗲𝗿 𝗘𝗳𝗳𝗲𝗰𝘁: 𝗧𝗵𝗲 𝗖𝗿𝗲𝗮𝘁𝗶𝘃𝗲 𝗦𝗸𝗶𝗹𝗹𝘀 𝗚𝗮𝗽 𝗶𝗻 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻 Here's the challenge: most educational institutions are still separating STEM from creative skills. But the future demands both. Few schools, like Thomas Johnson Middle School in Maryland, integrate disciplines through collaborative projects and design challenges. But they're the exception, not the rule. For now, alternative platforms like boot camps and online courses are stepping up to fill the gap. The AI Paradox shows us that automation won't make human workers less valuable—it's giving us more opportunities to do what we do best. Are you ready to ride this wave of change? P.S. In last week’s edition of FutureSkill, I talk about how a student, professional, or employer can navigate through the AI paradox and embrace AI. If you haven’t checked it out, then subscribe here 👉 https://lnkd.in/ed2FGfqt #Futureofwork #AI #Creativeskills

I recently joined Adobe Learning Manager’s AI in Learning series to talk about something I care deeply about. Learning is not a unidirectional process. Watching a video, taking a quiz, and earning a certificate can be useful. But we do not truly master a subject until we experience it, teach it, or debate it with others. In my conversation with Kirti Sharma, we explored how we can move beyond the hype around AI and focus on first-principle problems in education and the workplace. One example is moving from cheating to tutoring. Instead of using AI to short-circuit assignments, we are building tools like Khanmigo to act as ethical tutors that push learners to explain their reasoning. We also talked about the future of advanced credentials. I shared a look at work we are doing around programs for generalist knowledge workers that combine strong core content knowledge with peer mentorship and simulations. Another area is high-stakes human skills. AI can now provide a safe space to practice difficult parts of our jobs, like performance reviews or sales pitches, by giving feedback on communication and professional etiquette. We are also seeing a real productivity shift. AI is already shrinking turnaround times for complex tasks, from localizing content across dozens of languages to drafting high-level proposals. The goal is not to replace old workflows with faster ones. It is to use AI to free up time for the things only humans can do well, like thinking deeply, collaborating, and mentoring one another. You can watch the full conversation here: https://lnkd.in/gBnQM52F #AIinLearning #Education #Learning

Stop worrying about AI replacing jobs. Start learning how to use it to your advantage. While AI is automating repetitive tasks, it’s also creating new opportunities for strategic thinking, creativity, and problem-solving. As business leaders, it’s not just about adopting AI - it’s about supporting our teams to make the best use out of an AI-driven world. How we as leaders can help our teams: ↳ Up-skill strategically: Give your team access to AI tools that amplify their creativity and decision-making power. For example, marketing teams can use AI to uncover insights that shape smarter campaigns. ↳ Encourage strategic thinking: Shift the focus from routine tasks to impactful work. Let AI handle data sorting and analytics, while your team focuses on innovation. ↳ Cultivate adaptability: Build a culture that embraces experimentation and change. Help your team see AI as a partner, not a threat. But what if you’re not a leader? What if you’re just wondering how AI will shape your job - or even your career? What AI means for you as an employee: ↳ Learn the tools: Explore AI platforms relevant to your work, like ChatGPT for writing, Canva’s Magic Design or MidJourney for visuals, or Notion AI for organising tasks. ↳ Stay curious: AI can take over repetitive tasks, but it frees you to focus on creative or strategic contributions. ↳ Future-proof your skills: Invest time in building human-focused skills like critical thinking, emotional intelligence, and teamwork. Here are three uniquely human skills that will always give us the edge in an AI-driven world: 1️⃣ Creative problem-solving: AI follows the rules - humans rewrite them. 2️⃣ Adaptability: AI learns from data - humans learn from chaos. 3️⃣ Strategic thinking: AI processes information - humans create meaning. Stop asking if AI will take your job. Start asking how you’ll use AI to become irreplaceable. ⤵️ Tell me in the comments: How are you or your team adopting AI tools at work? What challenges are you facing? ♻️ Share this with someone who’s curious about the future of AI. ➕ Follow me, Jen Blandos, for actionable insights on leadership, entrepreneurship and the future of work.

𝗧𝗵𝗲 𝗨𝗹𝘁𝗶𝗺𝗮𝘁𝗲 𝗔𝗜 𝗦𝗸𝗶𝗹𝗹𝘀 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗼𝗿? 𝗦𝗼𝗰𝗶𝗮𝗹 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀. AI skilling efforts can be supercharged by using social challenges. To learn, practice, grow. It’s a lot like how personal setbacks force us to put self-improvement into action: Health scares that lead to better habits. (Suddenly it's not so difficult to run at 5am!) Career roadblocks leading to new skills. (Finally using that Udemy account) Social challenges can do the same for AI practice. At scale. They can push us to practice and apply knowledge where it counts, and to build solutions that matter. And together as a society, we learn to build that AI muscle for good. Over the last few months, my team and I have been running the AI for Impact campaign, equipping hundreds with AI knowledge, skills and hands-on experiences. And here's what we're observing: When our participants tackled real-world challenges, technical skills improved. But the real magic? Not in the algorithms. It's from the collaboration, the lived experience, and the relentless curiosity of people who care. And bonus: sharpened human strengths. Empathy, critical thinking, teamwork. The best ideas emerge when people listen deeply, collaborate openly, and keep the end user, real people, at the heart of every solution. Some of the solutions we saw. 𝗔𝗜 𝗳𝗼𝗿 𝗚𝗼𝗼𝗱 𝗛𝗲𝗮𝗹𝘁𝗵 𝗮𝗻𝗱 𝗪𝗲𝗹𝗹-𝗯𝗲𝗶𝗻𝗴. AI to predict disease outbreaks early, making healthcare more proactive and accessible. 𝗔𝗜 𝗳𝗼𝗿 𝗣𝘂𝗯𝗹𝗶𝗰 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: Personalizing government support, so citizens get the help they need, when they need it When we practice our AI skills to address humanity’s biggest needs, we don’t just build better tech, we build a better world. So, if you want to get better at AI, don’t just build another app. Get your hands dirty solving real problems. The social sector is where real stakes, real urgency, and real impact come together. 𝗦𝗼 𝗵𝗲𝗿𝗲’𝘀 𝗺𝘆 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝘆𝗼𝘂: What’s one social challenge you’d love to see AI help solve? #MagicMondays #AIforImpact #AIskillsatscale

AI will profoundly shape our lives. Yet your unique abilities will always set you apart. Today and in the foreseeable future, AI will serve as a powerful personal assistant, supporting (not replacing) human decision-making. Specialized AI agents trained in Finite Element Analysis (FEA) are already enhancing engineering workflows by providing: • Verification and validation support, • Boundary condition guidance, • Mesh quality assessment, • Connecting dissimilar elements, • Assistance in debugging iterative convergence issues, • And many other valuable applications of advanced reasoning.    However, this advanced assistance does not diminish the essential role of human intelligence in making informed decisions. Ultimately, human creativity remains our irreplaceable superpower. As simulation processes become increasingly automated and AI grows more capable, our distinctively human skills— creative abstracting, reframing, interpreting, interconnecting, and inventing from unique personal experiences—will clearly differentiate us. AI can augment our abilities, but our capacity to ask critical and insightful questions keeps us firmly at the helm. Let's remember: human intuition and judgment stem from understanding fundamental principles gained through purposeful practice, careful observation, and thoughtful reflection. P.S. Do you share this optimistic vision of the synergy between AI and human creativity?

7 Ways to Learn Soft Skills Using AI: (and level up your career faster than ever) Soft skills define your success. They determine how well you communicate, collaborate, and lead. AI is transforming how we develop these critical skills. Here’s how you can use AI to your advantage: 1. AI-Powered Communication Coaching → AI tools analyze how you speak and write, improving clarity and professionalism. → Get real-time feedback on tone, structure, and impact. 🔹 How to action: Start reviewing your emails, reports, and messages with AI-driven suggestions. Apply feedback immediately to improve your writing and speaking skills. 2. AI-Driven Public Speaking Practice → AI evaluates your speech patterns, helping you eliminate filler words and sound more confident. → Get instant analysis of pacing, tone, and body language. 🔹 How to action: Record short speeches or presentations and run them through AI for feedback. Focus on improving one key aspect each time. 3. Emotional Intelligence Training with AI → AI simulations help you navigate complex workplace interactions with greater empathy. → Learn to recognize emotions and respond appropriately. 🔹 How to action: Use AI chat simulations to practice difficult conversations. Reflect on AI feedback and adjust your responses accordingly. 4. AI-Powered Leadership Simulations → AI-driven scenarios let you practice making decisions under pressure. → Get tailored feedback on leadership style, problem-solving, and team management. 🔹 How to action: Engage in AI-based decision-making exercises weekly. Track your progress and refine your leadership approach. 5. AI for Active Listening Skills → AI transcribes conversations and measures how well you listen. → Provides insights into speaking vs. listening ratios and engagement levels. 🔹 How to action: After meetings, review AI-generated summaries to check if you truly understood key points. Focus on summarizing and asking follow-up questions. 6. AI-Powered Negotiation Training → AI assesses negotiation strategies and suggests improvements based on behavioral cues. → Helps refine persuasion techniques and response strategies. 🔹 How to action: Run different negotiation scenarios with AI, testing different approaches. Note what works best and apply it in real-world discussions. 7. AI-Personalized Learning for Soft Skills → AI recommends courses and learning modules based on your specific development areas. → Tracks progress and provides personalized growth insights. 🔹 How to action: Regularly complete AI-recommended lessons and apply learned techniques in real-life situations. Adjust based on AI feedback. Soft skills are no longer just about experience—they can be learned faster with AI. The key? Consistent practice and real-world application. What soft skill are you currently improving? Let me know in the comments below 👇 --- ♻️ Find this helpful? Repost for your network. ➕ Follow Dr Alexander Young for daily insights on productivity, leadership, and AI.

65% of organizations now use AI regularly. (Up from 33% just 10 months ago - McKinsey) But here's what leaders often miss: AI isn't replacing workers—it's supercharging them. Here's how the best companies are using AI to amplify human potential: 1: Productivity Revolution ↳ AI tools boost daily task completion by 66% (McKinsey, 2024) ↳ Knowledge workers deliver 40% better quality work with AI assistance (HBR) 2: Learning & Development ↳ AI personalizes training paths based on individual learning patterns ↳ Employees using AI-driven learning show 3x faster skill acquisition 3: Information Flow ↳ 73% reduction in time spent searching for information ↳ Cross-department collaboration increases by 45% with AI knowledge systems 4: Strategic Focus ↳ Teams using AI spend 62% more time on creative problem-solving ↳ Decision-making speed improves by 34% with AI insights 5: Employee Experience ↳ 71% report higher job satisfaction when AI handles routine tasks ↳ Burnout decreases by 39% in organizations with AI support systems The truth? AI won't replace great employees. But employees who use AI will replace those who don't. How is your team using AI to enhance (not replace) human capabilities? #AI #FutureOfWork #Leadership #Innovation

🚀 As AI automates tasks across industries, the question isn’t “Will my job be replaced?”—it’s “How do I stay irreplaceable?” To stay competitive in the age of AI, workers need to focus less on routine execution and more on high-value, human-centered skills that machines can’t easily replicate. Here are 5 modern skills everyone should be learning now: 1️⃣ AI Fluency – Understand how AI tools work, how to use them, and how to collaborate with them—not compete against them. 2️⃣ Critical Thinking – As AI handles more tasks, humans are needed to evaluate outcomes, challenge assumptions, and make judgment calls. 3️⃣ Emotional Intelligence – Relationship-building, empathy, and leadership are more valuable than ever in an increasingly automated world. 4️⃣ Adaptability – The only constant is change. The ability to pivot, reskill, and learn continuously is now a core career skill. 5️⃣ Prompt Engineering – In the new era, knowing what to ask an AI—and how—could be as important as traditional coding. 💡 The most successful professionals won’t just use AI—they’ll direct it, refine it, and lead through it. Which skill are you working on right now? #FutureOfWork #AI #SkillsGap #CareerDevelopment #LifelongLearning #WorkplaceTrends #Automation #DigitalTransformation

Great article on how to position yourself on the right side of AI. Share it with students Interesting observation that white collar firms will become a inverted pyramid as low level jobs get replaced Four main types of skills likely to increase in value: 1) Skills AI won't easily be able to perform: These are typically data-poor, messy, long-horizon tasks, or where a human presence is desired due to legal liability, reliability needs, personal preference, or physical presence.... For example, AI struggles with robotics due to lack of physical movement data or building a company, which involves subjective, long-term judgment. 2) Skills needed for AI deployment: As AI provides individuals with greater leverage, the ability to direct these AI "workers" becomes highly valuable. This includes organizing, auditing, and interfacing AI systems. These skills are messy, long-horizon, and become more needed as AI improves. 3) Skills where we could use far more of what they produce: This refers to areas where demand can significantly increase as products or services become better or cheaper due to AI, such as improved healthcare, housing, research, or luxury goods.... 4) Skills that are difficult for others to learn: Rare expertise aligned with unique strengths is valuable because it takes a long time for the labor market to adapt to increased demand, preventing rapid wage decreases. Based on these categories, specific work skills highlighted as becoming more valuable include: • Skills deploying AI systems: Directing AI, understanding its strengths/weaknesses, designing AI systems, and writing clear instructions2.... • Personal effectiveness: Being a generally productive, proactive person, strong social skills (building relationships, coordinating), and the ability to learn how to learn quickly.... • Leadership skills: ◦ Entrepreneurship: Identifying new project ideas, crafting strategy, coordinating people and resources, and managing risk. ◦ Management (people, product, project): Involves messy, long-horizon tasks where human oversight and responsibility are needed. ◦ Strategy, prioritization, and decision-making: Setting vision, identifying priorities, and making high-stakes decisions.... ◦ True expertise: Expert-level understanding in a crucial field, research discernment, and complex problem-solving. • Communications and taste: Good judgment regarding design/beauty, unique personality, branding, and strategic messaging. • Getting things done in government: Knowing whom to communicate with, how to frame policies effectively, and political strategy.... • Complex physical skills: Performing precise physical tasks, especially in unpredictable, high-stakes environments where demand is growing (e.g., overseeing surgery, data center electrical work) Robotics deployment is expected to lag behind cognitive automation.