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On Fri, 23 Aug, 12:03 AM UTC
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[1]
Master of imitation: Copying has been a foundational element of innovation in the most successful tech ecosystems
The article delves into how many successful tech companies, such as Apple, Facebook, and firms from China, build on existing ideas rather than inventing anew. It focuses on Ola Cabs and Bhavish Aggarwal, demonstrating how they have innovated in the Indian market, particularly through developments in EV and AI technologies.When I celebrated Ola Cabs' Bhavish Aggarwal's recent IPO achievements on social media, I was met with a wave of comments accusing him of copying ideas to build his company. It's a familiar criticism. But it overlooks a crucial aspect of how innovation actually works globally. As Steve Jobs once admitted, 'Picasso had a saying, 'Good artists copy, great artists steal,' and we have always been shameless about stealing great ideas.' Jobs took pride in the idea that innovation often involves building on what others have done. The fact is, the line between innovation and imitation is often blurred, and copying has been a foundational element in the growth of some of the most successful tech ecosystems, including China's. Silicon Valley, the cradle of modern technological innovation, is rife with examples of companies that didn't necessarily invent something entirely new, but instead improved upon existing ideas. Facebook, now Meta, is a prime example of this. Practically every product it has released - whether Stories, Reels or Messenger - has been an iteration, or direct copy, of existing products. Much like how Jobs 'stole' from Xerox PARC to build Apple's Macintosh. Since then, every Apple product, from iPhone to iPad, has drawn on existing technologies and concepts, refining them into something revolutionary. The same principle applies to China, which has been criticised for years for its tendency to 'copy and steal' technologies from the West. Yet, this very strategy laid the groundwork for the rise of its tech giants. Companies like Alibaba, Tencent and Xiaomi began by emulating Western models. But they soon adapted these ideas to suit their local markets, innovating in ways that their Western counterparts hadn't. Take Tencent's WeChat. Originally inspired by WhatsApp and other messaging platforms, WeChat quickly evolved into something far more comprehensive and transformative. It became a 'super app', offering services that span from messaging and social networking to payments, ecommerce and even government services. Today, WeChat is not just a Chinese success story but a model of innovation that other companies worldwide like Meta, X, Tata Group and Grab are looking to replicate. This strategy is particularly effective in regions where markets and consumer behaviours differ significantly from those in the West. By copying a proven concept and then localising and expanding upon it, companies can create products that are more finely tuned to their specific markets. This process often leads to innovations that go beyond the original idea, offering features and services that the 'originators' never considered. In Aggarwal's case, yes, his company may have started with ideas that were already in the market, like ride-hailing services. But to reduce his achievements to mere imitation is to ignore the tremendous innovation and adaptation that followed. Building a successful company is never just about having a novel idea. It's also about execution, understanding the market and continuously innovating to stay ahead. For instance, Ola didn't just mimic Uber's business model - it also innovated far beyond, especially in its understanding of the Indian market. Its unique features, such as ride scheduling in areas with unreliable internet, and integrating autorickshaws, were innovations that Uber later had to learn from - and 'shamelessly' copy. Moreover, let's not forget that every great company, at some point, stands on the shoulders of giants. Microsoft didn't invent the PC, but it revolutionised software. Amazon didn't invent ecommerce, but it transformed how we shop online. This Independence Day, Aggarwal made a significant announcement, revealing the revolutionary technologies that his company is developing. These innovations range from cutting-edge EVs to advanced battery systems, and an entire AI stack. One of the highlights was the introduction of Ola Krutrim's AI chips, which are set to be launched by 2026, with a more advanced version by 2028. These chips, including the 'Bodhi' family for AI workloads, aim to challenge Nvidia in AI chip performance. Moreover, the company is rapidly expanding Krutrim Cloud, which now supports over 50 new AI services, making it a robust platform for Indian developers - and eliminating the need to depend on Google and Microsoft. This announcement highlights how imitators often move well beyond any initial inspirations. Ola is now seeking to build an entire ecosystem of technologies that have the potential to revolutionise industries. EVs being developed are not just about going green. They also aim to redefine the entire automotive experience. The battery technology and AI stack represent a commitment to innovation that is set to place Ola at the forefront of global tech leadership. So, the next time someone accuses a successful entrepreneur of copying, remember - it's not where you start that matters, it's where you end up.
[2]
Masters of imitation: Copying has been a foundational element of innovation in the most successful tech ecosystems - The Economic Times
When I celebrated Ola Cabs' Bhavish Aggarwal's recent IPO achievements on social media, I was met with a wave of comments accusing him of copying ideas to build his company. It's a familiar criticism. But it overlooks a crucial aspect of how innovation actually works globally. As Steve Jobs once admitted, 'Picasso had a saying, 'Good artists copy, great artists steal,' and we have always been shameless about stealing great ideas.' Jobs took pride in the idea that innovation often involves building on what others have done. The fact is, the line between innovation and imitation is often blurred, and copying has been a foundational element in the growth of some of the most successful tech ecosystems, including China's. Silicon Valley, the cradle of modern technological innovation, is rife with examples of companies that didn't necessarily invent something entirely new, but instead improved upon existing ideas. Facebook, now Meta, is a prime example of this. Practically every product it has released - whether Stories, Reels or Messenger - has been an iteration, or direct copy, of existing products. Much like how Jobs 'stole' from Xerox PARC to build Apple's Macintosh. Since then, every Apple product, from iPhone to iPad, has drawn on existing technologies and concepts, refining them into something revolutionary. The same principle applies to China, which has been criticised for years for its tendency to 'copy and steal' technologies from the West. Yet, this very strategy laid the groundwork for the rise of its tech giants. Companies like Alibaba, Tencent and Xiaomi began by emulating Western models. But they soon adapted these ideas to suit their local markets, innovating in ways that their Western counterparts hadn't. Take Tencent's WeChat. Originally inspired by WhatsApp and other messaging platforms, WeChat quickly evolved into something far more comprehensive and transformative. It became a 'super app', offering services that span from messaging and social networking to payments, ecommerce and even government services. Today, WeChat is not just a Chinese success story but a model of innovation that other companies worldwide like Meta, X, Tata Group and Grab are looking to replicate. This strategy is particularly effective in regions where markets and consumer behaviours differ significantly from those in the West. By copying a proven concept and then localising and expanding upon it, companies can create products that are more finely tuned to their specific markets. This process often leads to innovations that go beyond the original idea, offering features and services that the 'originators' never considered. In Aggarwal's case, yes, his company may have started with ideas that were already in the market, like ride-hailing services. But to reduce his achievements to mere imitation is to ignore the tremendous innovation and adaptation that followed. Building a successful company is never just about having a novel idea. It's also about execution, understanding the market and continuously innovating to stay ahead. For instance, Ola didn't just mimic Uber's business model - it also innovated far beyond, especially in its understanding of the Indian market. Its unique features, such as ride scheduling in areas with unreliable internet, and integrating autorickshaws, were innovations that Uber later had to learn from - and 'shamelessly' copy. Moreover, let's not forget that every great company, at some point, stands on the shoulders of giants. Microsoft didn't invent the PC, but it revolutionised software. Amazon didn't invent ecommerce, but it transformed how we shop online. This Independence Day, Aggarwal made a significant announcement, revealing the revolutionary technologies that his company is developing. These innovations range from cutting-edge EVs to advanced battery systems, and an entire AI stack. One of the highlights was the introduction of Ola Krutrim's AI chips, which are set to be launched by 2026, with a more advanced version by 2028. These chips, including the 'Bodhi' family for AI workloads, aim to challenge Nvidia in AI chip performance. Moreover, the company is rapidly expanding Krutrim Cloud, which now supports over 50 new AI services, making it a robust platform for Indian developers - and eliminating the need to depend on Google and Microsoft. This announcement highlights how imitators often move well beyond any initial inspirations. Ola is now seeking to build an entire ecosystem of technologies that have the potential to revolutionise industries. EVs being developed are not just about going green. They also aim to redefine the entire automotive experience. The battery technology and AI stack represent a commitment to innovation that is set to place Ola at the forefront of global tech leadership. So, the next time someone accuses a successful entrepreneur of copying, remember - it's not where you start that matters, it's where you end up.
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Exploring how copying and imitation have been fundamental to innovation in successful tech ecosystems, while also examining the ethical and legal implications of this practice.
In the fast-paced world of technology, innovation is often hailed as the holy grail of success. However, a closer look at the most successful tech ecosystems reveals a surprising truth: imitation, or "copying," has been a foundational element of their growth and development. This practice, while controversial, has played a significant role in shaping the tech landscape we see today 1.
The concept of imitation driving innovation is not new. Throughout history, many groundbreaking inventions have been built upon existing ideas. The Wright brothers, for instance, drew inspiration from existing flying machines when developing their aircraft. Similarly, Thomas Edison's light bulb was an improvement on earlier designs. This pattern of building upon others' work has been a consistent theme in technological advancement 1.
In the modern tech industry, this practice has been elevated to an art form. Companies like Facebook (now Meta), Google, and Apple have all engaged in what could be termed as "strategic imitation." Facebook's development of features like Stories and Reels, clearly inspired by Snapchat and TikTok respectively, exemplifies this approach. Similarly, Google's foray into social networking with Google+ was an attempt to emulate Facebook's success 2.
China's tech industry provides a fascinating case study in the power of imitation. Companies like Alibaba and Tencent initially gained traction by adapting Western tech concepts to the Chinese market. However, they didn't stop at mere imitation. These companies innovated upon the borrowed concepts, creating unique products tailored to local needs and preferences. This approach has led to the development of super-apps like WeChat, which offers a range of services unmatched by its Western counterparts 1.
While imitation has undoubtedly contributed to technological progress, it raises important ethical and legal questions. The line between inspiration and infringement can be blurry, leading to numerous legal battles in the tech industry. Apple's long-standing patent disputes with Samsung over smartphone designs is a prime example of the complexities involved in determining what constitutes acceptable imitation versus illegal copying 2.
As the tech industry continues to evolve, the role of imitation is likely to remain significant. However, successful companies will need to strike a balance between copying existing ideas and adding genuine value through innovation. The most successful firms will be those that can take inspiration from others, but then significantly improve upon or adapt those ideas to create something truly unique and valuable 1.
East Asian tech hubs are adopting the aggressive innovation strategies that once defined Silicon Valley, while the latter has become more corporate and defensive.
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Bhavish Aggarwal, CEO of Ola Electric, challenges Elon Musk's Tesla, emphasizing the importance of local innovation for India's automotive market. The exchange highlights the growing competition in the global electric vehicle industry.
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Bhavish Aggarwal, founder of Ola, emphasizes India's need to spearhead the global technological transition and create future-ready jobs, highlighting the importance of AI and advanced technologies in shaping the country's economic future.
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4 Sources
India is positioning itself as a potential leader in AI development, focusing on creating culturally relevant and accessible AI models. The country faces challenges in resources and pricing but sees opportunities in leveraging its unique strengths.
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17 Sources
India is leveraging its tech talent, frugal innovation, and government support to carve out a niche in the global AI landscape, focusing on language models and practical applications.
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