Harvard Business Review’s Post

Deepseek’s Disruption: A Shock or an Inevitable Shift? Reading this HBR article made me reflect on how we often underestimate underdogs—until they redefine the game. Deepseek’s rise wasn’t luck; it was a strategic blend of innovation, persistence, and market foresight. What stood out to me most is how their approach challenged established players who had the advantage of scale but not necessarily the agility to pivot. This is a reminder that disruption isn’t about size—it’s about speed, vision, and execution. Did Deepseek truly come out of nowhere, or did the industry ignore the signs? I’d love to hear your thoughts! #AI #Disruption #Innovation #Deepseek

"Disruption theory predicts the emergence and evolution of DeepSeek and its ilk. In fact, it wouldn’t be surprising if other disruptors emerge over the next few months. In particular, small language models (SLMs), which utilize less data and fewer resources and yield lower quality content, could be yet another technology that challenges both American and Chinese LLMs in the months to come."

🔍 Why DeepSeek Shouldn’t Have Been a Surprise for Strategic Leaders, another "#overnight success" that was actually years in the making? Here’s what we can learn: 🚩 The #Warning Signs Everyone Missed: 1️⃣ Market #Signals: Early adoption in niche sectors (e.g., healthcare, fintech) hinted at scalability, but incumbents dismissed it as a "niche player." 2️⃣ Consumer Behavior #Shifts: Younger demographics prioritized DeepSeek’s UX simplicity, foreshadowing mass-market appeal. 3️⃣ Tech Debt #BlindSpots: Legacy systems left competitors slow to adapt, while DeepSeek’s agile infrastructure became its superpower. 💡 #Leadership Blind Spots: - #Complacency: Assuming dominance = immunity to disruption. - #Overlooking Talent: DeepSeek quietly recruited top AI/UX talent for years. - Data #Myopia: Competitors underutilized their own data, while DeepSeek turned analytics into actionable insights. 📈 Lessons for Leaders: ✔️ Scan the #Periphery: Disruptors rarely emerge from "obvious" rivals. ✔️ Invest in #Adaptability: Build systems that pivot faster than your competitors. ✔️ Listen to #EarlyAdopters: They’re your crystal ball. 🔥 My Take: In the AI era, #foresight isn’t about prediction—it’s about #preparation. Are we prioritizing strategic curiosity over short-term metrics? 📖 Full article: [Why DeepSeek Shouldn’t Have Been a Surprise](https://lnkd.in/gBFHPsCe) What’s one #surprise disruption you saw coming (or missed) in your industry? 👇 #Leadership #Strategy #Innovation #AI #BusinessStrategy #HBR

EFFECTIVENESS OF THE PURPOSE, EFFICIENCY OF THE PROCESS AND EVOLUTIONARY SUSTAINABILITY PREVENTATIVE SUCCESS LINKING THE COMMITMENT BY THOSE WHO WILL BE THE INNOVATIVE RESULT OF ITS BEST VERSION. EMOTIONAL AWARENESS☺️🇵🇦💪

🔍 𝗧𝘂𝗿𝗻𝗶𝗻𝗴 𝗘𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝘀 𝗶𝗻𝘁𝗼 𝗥𝗲𝗮𝗹 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗠𝗼𝗱𝗲𝗹𝘀: 𝗔 𝗥𝗲𝗳𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗳𝗿𝗼𝗺 𝗠𝘆 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 In today’s fast-paced business world, innovation is everything. But it’s not just about coming up with cool ideas—it’s about taking those ideas and making them work on a big scale. This is where companies can really stand out, and I’ve seen it firsthand. 🚀 𝗙𝗿𝗼𝗺 𝗦𝗺𝗮𝗹𝗹 𝗧𝗲𝘀𝘁𝘀 𝘁𝗼 𝗕𝗶𝗴 𝗖𝗵𝗮𝗻𝗴𝗲𝘀:  - 𝙸̲𝚗̲𝚗̲𝚘̲𝚟̲𝚊̲𝚝̲𝚒̲𝚘̲𝚗̲ ̲𝚊̲𝚜̲ ̲𝚊̲ ̲𝙲̲𝚊̲𝚝̲𝚊̲𝚕̲𝚢̲𝚜̲𝚝̲: Innovation is about exploring new possibilities. The challenge? Moving from small tests to large-scale applications that can truly shake up the market. - 𝚂̲𝚌̲𝚊̲𝚕̲𝚒̲𝚗̲𝚐̲ ̲𝚂̲𝚞̲𝚌̲𝚌̲𝚎̲𝚜̲𝚜̲: When companies scale their experiments, they can create entirely new business models. Think about how Netflix evolved from mailing DVDs to becoming a streaming giant. - ̲𝙶̲𝚎̲𝚗̲𝙰̲𝙸̲'̲𝚜̲ ̲𝚁̲𝚘̲𝚕̲𝚎̲: Take Generative AI (GenAI) for example. Lots of companies are experimenting with it, but few are taking it to the next level. Those who do can come up with groundbreaking products and services, just like how AI is revolutionizing customer service with chatbots. 💡𝗞𝗲𝘆 𝗥𝗲𝗳𝗹𝗲𝗰𝘁𝗶𝗼𝗻𝘀 𝗳𝗿𝗼𝗺 𝗠𝘆 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: 1. 𝘚𝘵𝘳𝘢𝘵𝘦𝘨𝘪𝘤 𝘊𝘰𝘮𝘮𝘪𝘵𝘮𝘦𝘯𝘵: To scale experiments, you need a clear strategy. It's about more than just small wins—it's about investing in what works and going big. 2. 𝘈𝘨𝘪𝘭𝘪𝘵𝘺 𝘢𝘯𝘥 𝘈𝘥𝘢𝘱𝘵𝘢𝘵𝘪𝘰𝘯: Companies need to stay flexible and ready to pivot based on what they learn. This is how startups often turn into big success stories. 3. 𝘊𝘰𝘭𝘭𝘢𝘣𝘰𝘳𝘢𝘵𝘪𝘷𝘦 𝘙𝘦𝘭𝘢𝘵𝘪𝘰𝘯𝘴:  Working with partners, customers, and even competitors can lead to unexpected breakthroughs. Think of how open-source communities often come up with amazing innovations. 4. 𝘚𝘰𝘭𝘷𝘪𝘯𝘨 𝘙𝘦𝘢𝘭 𝘗𝘳𝘰𝘣𝘭𝘦𝘮𝘴: Focus on solving real problems. If your innovation doesn’t address a genuine need, it won’t stick. Look at how Uber addressed the hassle of getting a cab, creating a whole new market in the process. 5. 𝘐𝘯𝘴𝘱𝘪𝘳𝘪𝘯𝘨 𝘓𝘦𝘢𝘥𝘦𝘳𝘴𝘩𝘪𝘱: Strong leadership is crucial in driving these changes. Leaders who inspire and empower their teams can turn innovative ideas into transformative business models. It’s about creating a vision, fostering a culture of experimentation, and encouraging calculated risks and conscious failure. 🌟 𝗧𝗵𝗲 𝗥𝗼𝗮𝗱 𝗔𝗵𝗲𝗮𝗱: Turning small experiments into big successes isn’t just about the latest tech—it’s about having the right strategy and culture. Companies that get this will set new standards in their industries. By focusing on real customer needs, we can create solutions that truly matter. Let’s scale our experiments and unleash the full potential of our ideas! 🌐 #Innovation #BusinessModels #GenAI #StrategicGrowth #FutureReady #RealSolutions

Have we slipped into corporate complacence when it comes to innovation ? Is it true that more startups are feeding the need to innovate, are assessing customer needs and finding laterally thought out ways of meeting them? Are the big boys being weighed down by the irrefutable need to standardize while succumbing to the one size fits all paranoia? How can innovation and standardization co exist ? Thought leaders should focus on the 'liability of largeness' in the corporate ecosystem. This is a malaise one sees across the board - it takes a newcomer to make a 12th Fail.. while the likes of Karan Johar given his resources and clout, stays stagnant at a K3G. Pick a leaf out of another's book. Think T. Align, Innovate - thats another AI recipe..

AI is more than just a trend—it’s the driving force behind innovation and growth. Embracing AI means investing in transformative technologies that revolutionize industries, streamline operations, and unlock new opportunities. From AI-powered startups to advanced tools and infrastructure, the possibilities for long-term impact are endless. Take the opportunity to lead the way into the future of innovation. Let’s shape what’s ahead, today! 🚀

🌐 Welcome to the Future of Innovation 🚀 At Disruptive Concepts, we believe that the best ideas don’t just challenge the status quo—they redefine it. In a world that's evolving at lightning speed, businesses must innovate or risk being left behind. Our mission? To ignite your potential with groundbreaking strategies that transform your vision into reality. 🔍 What We Do: We specialize in leveraging disruptive technologies and unconventional strategies to drive exponential growth. From AI and machine learning to cutting-edge product development, our approach is anything but ordinary. 💡 Why It Matters: Innovation isn't a luxury—it's a necessity. The companies that survive and thrive are those willing to embrace change and push the boundaries of what's possible. We're here to make sure you're one of them. 📈 Our Impact: We've helped startups become market leaders, guided established businesses through digital transformations, and supported companies in unlocking new revenue streams. Our approach isn't just about thinking outside the box—it's about tearing the box down and rebuilding it better. 🚀 Ready to Disrupt? Join us on our journey to shape the future of business. Whether you're looking to innovate, scale, or redefine your industry, Disruptive Concepts is your partner in success. 🔗 Visit us at disruptive-concepts.com to learn more about how we can help you lead the charge in innovation. #Innovation #Disruption #TechTransformation #FutureOfBusiness #AI #MachineLearning #BusinessGrowth If you want to stay up-to-date with us, follow our Page.

This article is authored by Madhusudan Sharma Vadigicherla, director, Supply Chain Systems. For daily news and analysis subscribe to the https://lnkd.in/gkhK-zyg newsletter. #Tech #Innovation #Startups