Key Trends in AI and Human Factors

AI isn't just a tool; it's becoming a teammate. A major field experiment with 776 professionals at Procter & Gamble, led by researchers from Harvard, Wharton, and Warwick, revealed something remarkable: Generative AI can replicate and even outperform human teamwork. Read the recently published paper here: In a real-world new product development challenge, professionals were assigned to one of four conditions: 1. Control Individuals without AI 2. Human Team R&D + Commercial without AI (+0.24 SD) 3. Individual + AI Working alone with GPT-4 (+0.37 SD) 4. AI-Augmented Team Human team + GPT-4 (+0.39 SD) Key findings: ⭐ Individuals with AI matched the output quality of traditional teams, with 16% less time spent. ⭐ AI helped non-experts perform like seasoned product developers. ⭐ It flattened functional silos: R&D and Commercial employees produced more balanced, cross-functional solutions. ⭐ It made work feel better: AI users reported higher excitement and energy and lower anxiety, even more so than many working in human-only teams. What does this mean for organizations? 💡 Rethink team structures. One AI-empowered individual can do the work of two and do it faster. 💡 Democratize expertise. AI is a boundary-spanning engine that reduces reliance on deep specialization. 💡 Invest in AI fluency. Prompting and AI collaboration skills are the new competitive edge. 💡 Double down on innovation. AI + team = highest chance of top-tier breakthrough ideas. This is not just productivity software. This is a redefinition of how work happens. AI is no longer the intern or the assistant. It’s showing up as a cybernetic teammate, enhancing performance, dissolving silos, and lifting morale. The future of work isn’t human vs. AI. The next step is human + AI + new ways of collaborating. Are you ready?

AI is no longer just an experimentation tool. It’s reshaping the entire optimization landscape. With this shift comes many untapped opportunities. Working with Andrius Jonaitis ⚙️, we've put together a growing list of 40+ AI-driven experimentation tools ( https://lnkd.in/gHm2CbDi) Combing through this list, here are the emerging market trends and opportunities you should know: 1️⃣ SELF-LEARNING, AUTO-OPTIMIZING EXPERIMENTS 💡 Opportunity: AI is creating self-adjusting experiments that optimize in real-time. 🛠️ Tools: Amplitude, Evolv Technology, and Dynamic Yield by Mastercard are pioneering always-on experimentation, where AI adjusts experiences dynamically based on live behavior. 🔮 How to leverage it: Focus on learning and developing tools that shift from static A/B testing to AI-powered, dynamically updating experiments. 2️⃣ AI-GENERATED VARIANTS 💡 Opportunity: AI can help you develop hypotheses and testing strategies. 🛠️ Tools: Ditto and ChatGPT (through custom GPTs) can help you generate robust testing strategies. 🔮 How to leverage it: Use custom GPTs to generate test ideas at scale. Automate hypothesis development, ideation, and test planning. 3️⃣ SMARTER EXPERIMENTATION WITH LESS TRAFFIC 💡 Opportunity: AI-driven traffic-efficient testing that gets results without massive sample sizes. 🛠️ Tools: Intelligems, CustomFit AI, and CRO Benchmark are pioneering AI-driven uplift modeling, finding winners faster -- with less traffic waste. 🔮 How to leverage it: Don't get stuck in a mentality that testing is only for enterprise organizations with tons of traffic. Try tools that let you test more and faster through real-time adaptive insights. 4️⃣ AI-POWERED PERSONALIZATION 💡 Opportunity: AI is creating a whole new set of experiences where every visitor will see the best-performing variant for them. 🛠️ Tools: Lift AI, Bind AI, and Coveo are some of the leaders using real-time behavioral signals to personalize experiences dynamically. 🔮 How to leverage it: Experiment with tools that match users with high-converting content. These tools are likely to develop and get even more powerful moving forward. 5️⃣ AI EXPERIMENTATION AGENTS 💡 Opportunity: AI-driven autonomous agents that can run, monitor, and optimize experiments without human intervention. 🛠️ Tools: Conversion AgentAI and BotDojo are early signals of AI taking over manual experimentation execution. Julius AI and Jurnii LTD AI are moving toward full AI-driven decision-making. 🔮 How to leverage it: Be open-minded about your role in the experimentation process. It's changing! Start experimenting with tools that enable AI-powered execution. 💸 In the future, the biggest winners won’t be the experimenters running the most tests, they’ll be the ones versed enough to let AI do the testing for them. How do you see AI changing your role as en experimenter? Share below: ⬇️

🌟 What’s Next for AI Design: Themes for 2025 🌟 As we enter 2025, the landscape of AI design is evolving rapidly, with emerging trends reshaping how we build and interact with technology. Here are some key trends I’m particularly excited about: 🔹 1. Interfaces That Adapt to User Needs We’re moving from static UIs to interfaces that dynamically adapt to context, personalization, and real-time inputs. This means simpler, cleaner, and more intuitive UX that delivers exactly what users need when they need it. 🛠️ Examples: Jordan Singer's work at Mainframe and Beam by @Toby Bream (https://beem.computer/) showcase the future of adaptive design. 🔹 2. Reimagining Data Organization Traditional data structuring feels ancient today. AI is helping us rethink how unstructured data is reorganized and delivered intuitively, in formats tailored to our needs. 💡 Check out @MatthewWsiu's explorations on this (https://lnkd.in/gFADJkXS) 🔹 3. Fluid Media AI is democratizing media creation - transforming text into videos, sketches into 3D models, and more. These capabilities open up a world of immersive, creative possibilities. 🎨 There are many advanced models out there, but here is a classic example I worked on a while back that transforms sketches into animated characters (https://lnkd.in/gPYA7xfP) 🔹 4. Multimodal Interactions Gone are the days of singular inputs. Multimodal AI systems combine voice, visuals, text, and beyond to create richer, more engaging user experiences. Claude artefacts are a good example! 🔹 5. Human-AI Connections AI isn’t just a tool - it’s becoming a partner for advice, journaling, task management, and more. Designing safe, meaningful interactions is key to ensuring this shift feels natural and intuitive. 🤖 e.g. I’ve been using apps like Rosebud (https://www.rosebud.app/) that probably know me better than some of my friends! 🔹 6. Immersive Experiences Adaptive interfaces, fluid media, and multimodal capabilities make immersive experiences more accessible than ever. 🌐 Rooms by Things, Inc. has recently launched some fun examples of this (https://lnkd.in/grcnyRcy) 🔹 7. Empowering Anyone to Build Anything The lines between designer, PM, and engineer are blurring. Tools like Cursor are empowering everyone to create AI apps, breaking down traditional silos. 🚀 Dreamcut.ai by Meng To is a great example of the creative potential unlocked by AI. 🔹 8. AI-First Interaction Patterns As AI capabilities grow, we must develop new design patterns to handle these challenges. For those interested in diving deeper, check out my course (https://lnkd.in/gcVgP3My). The next cohort starts in February, and we’ll explore these trends and more! As a reminder, these are just some themes I'm personally excited about and I'm sure I've missed many. Are there other themes you're excited about? Please share them in the comments!

I always share a post each year talking about my predictions in technology. Here are my general technology trends for 2025. 🔺 Wider Adoption of Generative AI 🔹 Domain-specific models: We’ll see more specialized generators trained on targeted data (e.g., legal, medical, scientific) that can produce highly accurate and context-specific content. 🔹 Hybrid approaches: Enterprises will use generative AI alongside rule-based or traditional ML methods to achieve more reliable outcomes, minimizing hallucinations and biases. 🔺 Rise of Multimodal Systems 🔹 Unified AI experiences: Instead of siloed text, image, audio, and video models, we’ll see integrated systems that seamlessly handle multiple data types. This leads to richer applications, from next-gen customer support to advanced robotics. 🔹 Context-aware processing: AI will better understand real-world context, combining visual, audio, and textual cues to offer smarter responses and predictions. 🔺 Advances in Explainability and Trust 🔹 Regulatory frameworks: With stricter AI regulations on the horizon, model explainability and audibility will become core requirements, especially in finance, healthcare, and government. 🔹 AI “nutrition labels”: Standardized ways of conveying model biases, training datasets, and reliability will help build user trust and improve transparency. 🔺 Edge and On-Device AI 🔹 Lower latency, better privacy: More powerful AI models will run directly on phones, wearables, and IoT devices, reducing dependence on the cloud for tasks like speech recognition, image processing, and anomaly detection. 🔹 Specialized hardware: Continued investment in AI accelerators, TPUs, and neuromorphic chips will enable high-performance AI at the edge. 🔺 Human-AI Teaming and Augmented Decision-Making 🔹 Decision intelligence platforms: AI will shift from purely providing recommendations to working interactively with humans to explore complex problems—reducing cognitive load, but keeping humans in the loop. 🔹 Collaborative coding and content creation: AI co-pilots will expand from code generation and text drafting to more sophisticated collaboration, shaping design, research, and strategic planning. 🔺 Rapid Growth of AI as a Service (AIaaS) 🔹 “No-code” and “low-code” tools: Tools that allow non-technical users to deploy custom AI solutions will proliferate, lowering barriers to entry and accelerating adoption across industries. 🔺 Emphasis on Ethical and Responsible AI 🔹 Bias mitigation: Tools and techniques to detect and reduce bias will grow more advanced, spurred by public scrutiny and regulatory demands. 🔹 Standards for accountability: Organizations will create ethics boards and formal guidelines to ensure AI alignment with corporate values and social responsibility. 🔺 Quantum Computing Experiments 🔹 Hybrid quantum-classical models: Though still early-stage, breakthroughs in quantum hardware could lead to specialized quantum-assisted AI algorithms.

We all know that work has changed a lot over the last decade. But through every technological revolution and market cycle, one powerful truth has remained constant: technology alone doesn't drive innovation and growth. PEOPLE drive innovation and growth. Our Work Change Report looks at data from more than 1 billion professionals and 69 million companies to offer a deeper look into how AI is changing work and what you can do to navigate it. A few takeaways that make me optimistic: 1. Human skills have grown in importance by 10% since 2018. As AI takes on the more operational aspects of work, these skills will be integral to how our everyday work gets done, and are what’s going to give our organizations an advantage. 2. The data particularly resonates at the leadership level – C-suite executives have increased their emphasis on human skills by 31% between 2018-2023. This reflects a growing recognition that modern leadership requires exceptional adaptability and emotional intelligence. 3. The path forward is clear: investing in your people’s human capabilities will be the true catalyst for innovation. The skills that make us uniquely human–empathy, compassion, communication- are becoming our most valuable assets. It's encouraging to see that 77% of HR leaders are already prioritizing upskilling initiatives for 2025, whether that means online learning, mentorship, personalized coaching, or all of the above. We’re living through an incredible moment where technology and human potential are coming together in ways we’ve never seen before. I’d love to hear your thoughts - what findings echo your experience? Read the full report here: https://lnkd.in/erpVwSRA

The Microsoft and LinkedIn 2024 Work Trend Index Annual Report is out, and unsurprisingly, AI is rapidly transforming the global workforce. Based on a survey of 31,000 people across 31 countries, here are the highlights, and what it means for education. Key Highlights: - AI usage has more than doubled in the last 6 months, with 75% of global knowledge workers reporting using GenAI tools. - 79% of leaders agree their company needs to adopt AI to stay competitive, but 60% worry their organization lacks a plan and vision to implement it. - 78% of AI users are bringing their own AI tools to work (BYOAI), cutting across all generations. - Leaders say they would not hire someone without AI skills (66%) and would prefer a less experienced candidate with AI skills over a more experienced one without them (71%). - AI power users are experimenting frequently with AI, getting support and encouragement from leadership, and receiving tailored AI training. They are seeing significant benefits in productivity, creativity, and job satisfaction. What does it mean for education? - Experience with AI is becoming a key hiring criteria, in part due to research that shows that GenAI use can significantly decrease skill gaps. - 77% of leaders say early-in-career talent will be given greater responsibilities due to AI. This has major implications for how schools and universities prepare students for the job market. - Only 39% of people who use AI at work have received AI training from their company, and only 25% of companies plan to offer training on generative AI this year. This gap between need for training and availability is similarly playing out in schools and systems right now. - As AI reshapes work, the skills required for jobs are projected to change significantly. Educational institutions will need to adapt curricula to focus on the uniquely human skills that will be most valuable in an AI-enabled work world, such as creativity, critical thinking, and relationship building. The rapid rise of AI is transforming the workplace and the job market and the entire education ecosystem has an essential role to play in equipping students and workers with the AI skills and aptitudes that are and will be most in-demand. For the full report, visit: https://lnkd.in/eyfSRzNj AI for Education #aiforeducation #aieducation #durableskills #GenAI #AIliteracy

AI is reshaping work, and it’s happening fast. Six in 10 workers already see AI as a co-worker!    But as AI takes on more tasks, it’s also shifting what it means to work, grow, and stay engaged—often in ways we don’t see right away.    The big question that Deloitte’s new 2025 Global Human Capital Trends report (https://deloi.tt/4iXG9NV) asks: is your employee value proposition keeping up?    We’re at a turning point where AI can either elevate the human experience at work or quietly erode it altogether. The organizations that get this right will be the ones that:     🟢 Share AI’s benefits: Workers should see real gains, not just organizations.  🟢 Redesign with intention: Automation should create new opportunities, not dead ends.  🟢 Grow with AI: Upskilling isn’t just about learning how to use AI but how to think alongside it.  🟢Make AI a true teammate: Empower workers to experiment, collaborate, and innovate with AI.    AI is changing work, but it doesn’t have to diminish the human experience. The real opportunity is creating employee value propositions where AI makes work better for both people and organizations alike. 

What is coming in 2025? These are the top 10 trends I'm predicting for 2025 based on what I'm seeing in the market right now (and no, it's not just about AI in no particular order): 1. "The Human Touch Premium" Machines will handle the routine, but humans will own relationships. Companies are and will be paying top dollar for people who can navigate complex emotions and build genuine connections. AI is making human skills MORE valuable, not less. 2. "Workspace Revolution 2.0" Companies are redesigning spaces for what Zoom can't replicate: real human chemistry. Even though I am a remote worker, I see the office evolving into something way more interesting. 3. "The Great Reskilling Wave" The skills gap is becoming a skills canyon. But here's the twist: companies aren't just training for technical skills. They're investing in people who can dance with AI, not compete with it. Learning to learn is becoming more valuable than what you already know. 4. "Rise of the Wellness Workplace" Companies are finally realizing that burned-out employees cost more than wellness programs. Would not surprise me that mental health coaches becoming as common as project managers, especially with GenZ and other generations who are more concerned about this coming up in the workforce. 5. "Sustainability Intelligence" AI is turning environmental impact into real-time data, and companies can't hide behind annual reports anymore. Customer and employees alike are asking more and more about the carbon footprint. 6. "The Trust Economy" As AI becomes ubiquitous, trust becomes currency. Companies that can prove they're using AI ethically aren't just winning hearts, they're winning market share. Transparency isn't optional anymore. 7. "Human-AI Collaboration Models" New roles are emerging that nobody predicted. The highest-paid people won't be the ones who know the most about AI, but those who know how to make it work with humans. 8. "Knowledge Network Evolution" Information isn't power anymore, CURATION is. Companies are ditching traditional knowledge management for AI-powered collaborative networks. But here's the catch: someone still needs to make sense of it all.. maybe a team like enablement perhaps?? 9. "Hybrid Intelligence Teams" Cross-functional teams are out, hybrid intelligence teams are in. These aren't just groups of people, they're carefully crafted combinations of human and artificial intelligence. Digital agents + Humans and someone needs to oversee this, see #7. 10. "Social Capital Renaissance" As digital processes become automated, real human connections become gold. Your network isn't about how many LinkedIn connections you have—it's about the depth of your relationships, which will impact marketing like crazy. The future isn't about AI replacing humans. It's about humans becoming more human. And companies that get this will win. What do you think? What other trends do you see happening?

Last month, McKinsey & Company published a report titled "A new operating model for people management: More personal, more tech, more human", highlighting the ongoing transformation of the HR function in the light of new #HRTech and #AIforHR capabilities. (link in the comments) The report outlines what this transformation looks like and how organizations can embrace a new people operating model. Here are some key takeaways: 1️⃣ Hyper-personalization of Employee Experience: Employees expect the same level of personalization at work as they do in their daily lives. AI-driven coaching, tailored training programs, and personalized compensation will become the norm. 2️⃣ The Rise of Digital Agents & AI Coaching: Organizations are already deploying AI-powered personal assistants to handle routine tasks, freeing HR professionals to focus on strategy, leadership, and employee well-being. 3️⃣ Frictionless Organizations & Fluid Talent Markets: Rigid hierarchies and job roles are being replaced by skill-based, dynamic talent marketplaces that match employees to opportunities inside and outside their organizations. 4️⃣ Managers Must Elevate Their “Humanness”: As automation reduces administrative burdens, leaders must focus on things that make humans unique: empathy, coaching, and ethical technology adoption to build trust and engagement. 5️⃣ The HR Function of the Future: The “Strategic Triumvirate” HR will evolve into three core roles: ✅ People Strategists – Translating business needs into workforce strategies. ✅ People Scientists – Designing data-driven talent interventions. ✅ People Technologists – Driving AI-powered HR innovation. It's especially interesting to look at Exhibit 1, depicting how #AIAdoption can automate and transform traditional practices (stating that "Two-thirds of today's people management processes can be largely automated"). Organizations that embrace this transformation will gain a competitive edge, outperforming peers in both employee engagement and financial success. But it is important to note that only a handful of organizations (5%) are routinely incorporating new technologies in their people management functions. Depending on where you sit in your journey, beginning (strategists), growing (scalers) or advanced (visionaries) you might focus on different things, but the overall advice is the same: -Set a clear North Star -Create a people transformation team -Reimagine boundaries, including between business and people -Experiment, continuously improve, and scale what works -Invest in technology and change -Maintain momentum What steps is your organization taking to future-proof your people management strategy? Let’s discuss! 👇

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!