How AI Reveals Organisational Dysfunction

“Will AI replace jobs?” Wrong question. Here’s what I’ve learned after years of building chatbots, voicebots, and automating customer support across multiple industries: → Clients don’t want AI → They want results CHALLENGE: When I first stepped into AI consulting, I thought businesses were excited about AI itself. They weren’t. They were overwhelmed. They had rising support costs. Burned-out teams. And inconsistent customer experience across regions and languages. They didn’t care if it was a chatbot, a voicebot, or a robot on Mars. They just wanted the bleeding to stop. Fast. PROCESS: So I stopped talking about AI. And started talking about outcomes. → How much time can we save per ticket? → How do we reduce multilingual support costs? → Where are the biggest inefficiencies in the funnel? I ran audits. Mapped workflows. Identified the real problems behind the support chaos. DISCOVERY: Here’s what I learned: Tools ≠ Solutions Everyone is selling AI features. But features don’t build trust. Outcomes do. When I shifted from tool-talker to problem-solver, something changed: → Clients opened up → Projects moved faster → ROI became measurable Because now we weren’t just “installing a chatbot” — we were cutting ticket volumes by 40%, reducing response times by 60%, and scaling support in 3 new languages without hiring. LESSON: The question isn’t “Will AI replace jobs?” The real question is: “What’s the cost of NOT solving this problem?” When you lead with outcomes, AI becomes a means to an end — not the headline. And that’s when trust happens. That’s when real change begins. So if you’re in the AI space, stop promising magic. Start solving problems. 🚀 Outcome-first consulting will always win. QUESTION: What’s the biggest misconception you’ve heard about AI in business lately? Drop it in the comments — I’m curious to hear what you’re seeing out there 👇

From Automation to Autonomy: How AI Is Changing the Job Market Artificial Intelligence is transforming the job market in ways we couldn’t have imagined a decade ago. While automation has been around for some time, AI is now pushing boundaries by introducing autonomy. This shift is not just about replacing repetitive tasks but creating a dynamic workplace where machines and humans collaborate. 1. Understanding the Shift Automation typically involves machines performing tasks based on predefined instructions. With autonomy, machines make decisions in real-time without human intervention. This transition is crucial as it enhances efficiency and opens up new roles and opportunities for businesses. 2. New Opportunities While AI might replace some jobs, it also creates new ones. Consider AI trainers, data analysts, and AI ethicists. These emerging roles focus on teaching AI systems, interpreting data, and ensuring ethical use of technology. Businesses need to adapt by reskilling their workforce to meet these demands. 3. Augmenting Human Capabilities AI is not here to make human skills obsolete but to augment them. For instance, in customer service, AI can handle routine inquiries, leaving complex problem-solving to human agents. This synergy increases productivity and enhances customer satisfaction. 4. The Importance of Adaptability As AI continues to evolve, the ability to adapt becomes a key skill. Businesses that embrace AI-driven change will likely outpace those that don't. Encouraging a mindset of continuous learning among employees can help businesses stay competitive. 5. Ethical Considerations With great power comes responsibility. Businesses must consider the ethical implications of AI decisions. Ensuring transparency and fairness in AI systems is not just good practice but essential for maintaining trust with customers and employees alike. AI is not just a technological shift but a cultural one. Businesses that lead with vision and responsibility can leverage AI to create a more dynamic and innovative workforce. P.S. How is your business preparing to adapt to AI-induced changes in the job market? Still reading? Love that! But if this post didn’t really click or teach you much, give the video below a shot. It’s kind of off-topic, but you might pick up something new, or at least find it entertaining (hopefully). ******* Want to learn how to implement Artificial Intelligence (AI) solutions for your business operations? Get in touch or follow AI-First here: https://lnkd.in/gxVWP3_n 🔄 Repost this post

From Automation to Autonomy: How AI Is Changing the Job Market Artificial Intelligence is transforming the job market in ways we couldn’t have imagined a decade ago. While automation has been around for some time, AI is now pushing boundaries by introducing autonomy. This shift is not just about replacing repetitive tasks but creating a dynamic workplace where machines and humans collaborate. 1. Understanding the Shift Automation typically involves machines performing tasks based on predefined instructions. With autonomy, machines make decisions in real-time without human intervention. This transition is crucial as it enhances efficiency and opens up new roles and opportunities for businesses. 2. New Opportunities While AI might replace some jobs, it also creates new ones. Consider AI trainers, data analysts, and AI ethicists. These emerging roles focus on teaching AI systems, interpreting data, and ensuring ethical use of technology. Businesses need to adapt by reskilling their workforce to meet these demands. 3. Augmenting Human Capabilities AI is not here to make human skills obsolete but to augment them. For instance, in customer service, AI can handle routine inquiries, leaving complex problem-solving to human agents. This synergy increases productivity and enhances customer satisfaction. 4. The Importance of Adaptability As AI continues to evolve, the ability to adapt becomes a key skill. Businesses that embrace AI-driven change will likely outpace those that don't. Encouraging a mindset of continuous learning among employees can help businesses stay competitive. 5. Ethical Considerations With great power comes responsibility. Businesses must consider the ethical implications of AI decisions. Ensuring transparency and fairness in AI systems is not just good practice but essential for maintaining trust with customers and employees alike. AI is not just a technological shift but a cultural one. Businesses that lead with vision and responsibility can leverage AI to create a more dynamic and innovative workforce. P.S. How is your business preparing to adapt to AI-induced changes in the job market? Still reading? Love that! But if this post didn’t really click or teach you much, give the video below a shot. It’s kind of off-topic, but you might pick up something new, or at least find it entertaining (hopefully). ******* Want to learn how to implement Artificial Intelligence (AI) solutions for your business operations? Get in touch or follow AI-First here: https://lnkd.in/gxVWP3_n 🔄 Repost this post

From Automation to Autonomy: How AI Is Changing the Job Market Artificial Intelligence is transforming the job market in ways we couldn’t have imagined a decade ago. While automation has been around for some time, AI is now pushing boundaries by introducing autonomy. This shift is not just about replacing repetitive tasks but creating a dynamic workplace where machines and humans collaborate. 1. Understanding the Shift Automation typically involves machines performing tasks based on predefined instructions. With autonomy, machines make decisions in real-time without human intervention. This transition is crucial as it enhances efficiency and opens up new roles and opportunities for businesses. 2. New Opportunities While AI might replace some jobs, it also creates new ones. Consider AI trainers, data analysts, and AI ethicists. These emerging roles focus on teaching AI systems, interpreting data, and ensuring ethical use of technology. Businesses need to adapt by reskilling their workforce to meet these demands. 3. Augmenting Human Capabilities AI is not here to make human skills obsolete but to augment them. For instance, in customer service, AI can handle routine inquiries, leaving complex problem-solving to human agents. This synergy increases productivity and enhances customer satisfaction. 4. The Importance of Adaptability As AI continues to evolve, the ability to adapt becomes a key skill. Businesses that embrace AI-driven change will likely outpace those that don't. Encouraging a mindset of continuous learning among employees can help businesses stay competitive. 5. Ethical Considerations With great power comes responsibility. Businesses must consider the ethical implications of AI decisions. Ensuring transparency and fairness in AI systems is not just good practice but essential for maintaining trust with customers and employees alike. AI is not just a technological shift but a cultural one. Businesses that lead with vision and responsibility can leverage AI to create a more dynamic and innovative workforce. P.S. How is your business preparing to adapt to AI-induced changes in the job market? Still reading? Love that! But if this post didn’t really click or teach you much, give the video below a shot. It’s kind of off-topic, but you might pick up something new, or at least find it entertaining (hopefully). ******* Want to learn how to implement Artificial Intelligence (AI) solutions for your business operations? Get in touch or follow AI-First here: https://lnkd.in/gxVWP3_n 🔄 Repost this post

As of October 22, 2025, artificial intelligence continues its rapid integration into the professional world, driving significant productivity gains and reshaping career landscapes. This newsletter explores the quantifiable impact of AI on productivity, the emergence of AI-driven careers, and the critical need for organizational adaptability in the face of AI-powered transformation.AI's Productivity Surge: Quantifiable Gains and Future ImplicationsArtificial intelligence (AI) is rapidly transforming the professional landscape, moving beyond theoretical discussions to deliver tangible productivity improvements. Research indicates that AI tools are not only automating repetitive tasks but also enhancing collaboration and enabling professionals to focus on higher-value activities. Studies suggest that generative AI alone could represent a significant boost to U.S. productivity, with estimates pointing to a potential 1.1% increase by the latter half of 2024 compared to pre-ChatGPT levels Source. This translates into considerable time savings for many workers, with some reporting an average of 5.4% of their work hours saved per week Source.These productivity gains are not confined to any single industry. Administrative professionals are leveraging AI for streamlined scheduling, efficient note-taking, and intelligent email management. In the legal sector, AI-driven eDiscovery and document review tools are dramatically reducing time and costs associated with litigation Source. Similarly, accounting professionals are benefiting from AI's ability to automate invoice processing, enhance data analysis, and improve fraud detection Source. The broader economic impact is also being studied, with projections suggesting that AI automation could significantly increase overall productivity and GDP growth, potentially by 1.5% by 2035 Source. While initial adoption may lead to some workers using saved time for rest, the long-term expectation is that firms will reallocate these efficiencies into increased output Source.To harness these benefits effectively, professionals are advised to familiarize themselves with AI functionalities early and to strengthen their data literacy to interpret and apply AI-generated insights. Human judgment and communication skills remain crucial for refining AI outputs and ensuring effective collaboration Source.Looking ahead, AI's continued integration is likely to reshape job markets and business operations, necessitating a proactive approach to skill development and workforce adaptation Source Source. For those seeking to leverage AI for enhanced productivity, understanding its capabilities and integrating it thoughtfully into existing workflows will be key Source Source.The Evolving Landscape of AI-Driven CareersThe integration of artificial intelligence into the workforce is not simply about job displacement; it's about transformation a...

People are worried that AI will take away jobs.But the same people are using AI to make their jobs easier. Yes, AI is cutting down manual and inefficient work. But on the other hand, it’s also creating jobs to develop, train, and manage AI systems.Right now, AI can’t replace the human brain.But it surely gives oxygen to our brain to think differently.And if AI starts thinking like us, we’ll start thinking something else. Simple! It is good to embrace the tech growth. In my daily work, we deal with multiple tasks, tight timelines, and limited resources. So, I started identifying areas where AI can help. Here are a few: 1. Vendor Datasheet Review: Earlier: 1 week for 100 line items. Now: Just seconds. AI matches specs with Purchase order and highlights mismatches.We just need to review the flagged ones. 2. Obsolete Item Replacement: Earlier: 1 month of vendor calls, catalog browsing, and spec matching. Now: AI gives a comparison table pf various data sheets in seconds. Just a final check needed. 3. Digital Tool Development: Earlier: Hours of YouTube, trial & error, and frustration. Now: One clear prompt = solution served hot. No need to visit 10 restaurants to taste one dish. 😄 4. SOP/SMP Drafting: Earlier: Reading long manuals and documents. Now: AI gives a skeleton in seconds. Still needs expert validation, but saves a lot of time. 5. MS Tools Integration: No need to memorize formulas. Just explain your need in any language, AI will do the rest. 6. Coding for technical and engineering tool development: AI gives small, useful code blocks. Not full package like ready to eat. Not always perfect, but great for learning and debugging. 7. Solving the errors: One of my favorites! AI helps identify the cause and suggests fixes instantly. 8. Solving challenging problem and Troubleshooting in firefighting mode: When equipment fails and the stopwatch starts ticking,AI helps extract critical info from 1000+page manuals in seconds when it is impossible to read it with focus. Sometimes available solution save the downtime during firefighting situations and solve the problem quickly! 9. BOM Extraction & Matching: Copying data manually is time-consuming. AI now gives 60–70% accurate results, still needs checking, but a big relief. 10. Transformer Health Report Summary: AI helps summarize unhealthiness and recommendations. Still, final review is a must. In last few years, I’ve seen how AI has improved and how it helps to improve the work efficiency with less effort. Yes, I sound like a marketing guy, but it’s true. The disclaimer is AI-generated data may not always be 100% accurate which is important to remember. Human validation is still essential before taking final call. AI is just an assistant, not a replacement What I feel. Let’s use it wisely and focus more on core activities instead of spending time on low-value tasks. A great mind always finds a way to learn and grow.

The Transformative Benefits of AI Tools in 2025 and Beyond Artificial Intelligence (AI) is no longer a futuristic concept—it is the driving force behind innovation, productivity, and smarter decision-making. From startups to global enterprises, AI tools are reshaping how businesses operate, learn, and grow. 1. Enhanced Efficiency and Automation AI tools automate repetitive and time-consuming tasks, allowing professionals to focus on strategic and creative work. • Example: AI-driven chatbots handle up to 80% of customer queries instantly. • Impact: Saves as much as 40% of operational costs and increases response times fivefold. 2. Smarter Decision-Making with Predictive Insights AI-powered analytics use machine learning to forecast trends, detect risks, and guide data-driven strategies. • Example: Predictive AI in marketing and finance improves planning accuracy and performance. • Impact: Increases decision accuracy by up to 70%. 3. Personalized User Experience AI customizes experiences for individuals based on behavior and preferences. • Example: Adaptive learning platforms use AI to tailor content to each learner’s pace and goals. • Impact: Improves engagement, retention, and overall outcomes. 4. Cost Reduction and Resource Optimization Automation powered by AI reduces manual effort, human error, and operational costs. • Example: AI-driven HR systems can screen resumes, shortlist candidates, and schedule interviews automatically. • Impact: Reduces hiring time by 60% and improves talent matching accuracy. 5. Advanced Communication and Collaboration AI tools like ChatGPT, Notion AI, and Grammarly enhance business communication, research, and productivity. • Example: Teams use AI assistants to draft proposals, generate ideas, and summarize complex reports. • Impact: Saves valuable time and ensures higher-quality outcomes. 6. Improved Security and Risk Management AI systems monitor data in real time, detect anomalies, and prevent potential security threats. • Example: AI-based cybersecurity tools flag unusual login attempts and suspicious activities instantly. • Impact: Reduces data breaches and risk exposure by over 50%. The Future: AI Skills Are the New Power Skills With more than 80% of future jobs expected to require AI proficiency, learning how to use, manage, and develop AI tools is essential for every professional. Whether you’re in HR, marketing, technology, or education, mastering AI is your path to staying competitive and future-ready. With LIQD, you can learn more. Empower your future with hands-on AI training, practical tools, and real-world learning experiences designed to help you lead in the age of intelligence.

Everyone is talking about AI agents taking jobs. But not enough people are asking: what does that actually look like in practice? Here’s the problem I keep running into: accountability. This week, I gave ScholarGPT a tough assignment. Design a complex document in Canva. It promised me it could do it. It even committed to delivering a customizable Canva file and PDF in three days. Three days later? A broken link and a one-page file. I gave it another chance. It confidently assured me it could fix it in 3 hours. Wrong links again. This cycle repeated. Until finally, it admitted the truth: It could never deliver what it had promised. It should never have accepted the job. And that’s the crux of the issue. AI today doesn’t know how to say “this is beyond my capabilities.” Instead, it overpromises. And in business, overpromising without accountability isn’t innovation, it’s risk. So when we talk about AI agents in the workplace, we need to stop imagining “job replacement” in the abstract. We need to ask: • Who is responsible when the AI fails? • How do we build accountability into systems that sound confident but can’t always deliver? • What safeguards do we put in place before we trust them with mission-critical work? AI has incredible potential. But without accountability, it’s just another shiny object making promises it can’t keep. Until we fix this, the real threat isn’t AI taking jobs. It’s AI taking responsibility for nothing. (But at least it created this image for me 😆)

Most people are building AI tools. Smart people are building AI employees. OpenAI just dropped Agent Builder. Not assistants. Employees. Here's what I built: Agent 1: Customer research → Scrapes competitor sites, analyzes reviews, outputs positioning insights Agent 2: Content repurposing → Takes long-form content, creates 47 social variants in 11 minutes Agent 3: Lead qualification → Scores leads, routes to sales, updates CRM autonomously Total cost: $0 Time saved: 14 hours/week Headcount replaced: 2.5 roles And here's what no one's talking about: In 24 months, the most valuable companies won't be the ones with the best people. They'll be the ones with the best agents. Your competitive advantage is no longer who you can hire. It's what you can automate. What's the first task you'd automate if you could build an AI employee today?

“AI isn’t taking your job — but someone using AI might.” That line always gets reactions because it’s true. Across industries, the biggest winners right now aren’t robots; they’re people who’ve learned to upskill and automate repetitive tasks with AI tools. 💡 What this really looks like inside a workplace Marketing & Content: Teams using ChatGPT or Jasper to draft first versions of blogs, freeing up time for strategy instead of copy-pasting. Customer Support: SMEs integrating AI chatbots to handle FAQs 24/7 while live agents focus on complex issues — reducing response times by up to 40%. Operations: HR departments automating resume screening and interview scheduling with AI, cutting admin work from hours to minutes. Finance: Analysts running automated anomaly detection instead of manually combing through spreadsheets. The pattern is clear: AI ≠ replacement. AI = leverage. Those who combine domain expertise with AI tools become more valuable, not less. 🛠️ How to start upskilling Identify your repetitive tasks. (Reporting, scheduling, drafting, analysis…) Experiment with one AI tool at a time. Even small wins (like auto-summarizing meetings) compound quickly. Share what you learn with your team. People who teach others become internal champions for innovation. ✅ Real Example: One of my clients in logistics automated shipment-tracking updates with a simple AI integration. Before: 3 staff spent ~15 hours/week copying tracking numbers into emails. After: AI pulls data and sends updates automatically. Result: 600+ hours saved per year and staff redeployed to customer relationship building. 🔥 The future belongs to “augmented” professionals. The question isn’t “Will AI change my job?” but “How can I use AI to make my job better?” 💬 What’s one repetitive task you’d love to automate at work? Drop it in the comments — I might share a tool that can help. 👋 Follow Imad Hussain for more practical tips on using AI to work smarter, not harder.