Latest news with #MaryMeeker
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Business Standard
6 hours ago
- Business
- Business Standard
AI predicted to conduct deep scientific research and complex tasks by 2035
Mary Meeker and her team forecast that AI will generate hypotheses, design experiments and offer expert advice, while also creating films and operating robots within the next decade Aashish Aryan Delhi Artificial intelligence (AI) and AI-enabled tools are likely to be able to conduct deep scientific research by generating hypotheses, running simulations on the data obtained, designing and analysing experiments within the next 10 years, a report by Mary Meeker and her team has predicted. Meeker, often referred to as the 'mother of the internet', is the founder and general partner of San Francisco-based venture capital firm Bond Group. In their report, Meeker and her team have said that by 2035, AI and AI-enabled tools could discover materials, engineer biotech, prototype energy systems, manage research and development, finance and logistics of companies with minimal human input. Complex physical tasks such as handling tools, assembling components and adapting in real-world space, as well as offering expert-level decision-making, such as real-time legal, medical and business advice, will also be easily done by AI, the report predicts. In the near term, AI and AI-enabled tools will be able to create full-length films and games, generate scripts, characters, co-write novels, produce music, design architecture and operate humanoid robots by 2030. The report predicts that emotion-aware real-time multilingual agents, which understand and speak like human beings, will also be available to everyone in the next five years.
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First Post
6 hours ago
- Business
- First Post
ChatGPT beats Google, hits 365 bn-mark in annual searches with 5.5 times faster growth
ChatGPT reached 365 billion annual searches just two years after launch. It had taken Google 11 years to achieve the same feat. 'We've never seen anything like the user growth of ChatGPT, particularly outside the US,' analyst Mary Meeker says read more ChatGPT has grown at a breakneck speed that dwarfs Google's ascent. Representational image/Reuters ChatGPT reached 365 billion annual searches just two years after launch, achieving a growth rate more than five times faster than Google's early years, according to a recent report by prominent technology analyst Mary Meeker. Meeker's latest report, titled Trends: Artificial Intelligence, notes ChatGPT's rapid ascent to mass utility, a milestone Google took 11 years to achieve. ChatGPT's swift global adoption underscores how quickly artificial intelligence is reshaping consumer behaviour and technological landscapes. STORY CONTINUES BELOW THIS AD 'We've never seen anything like the user growth of ChatGPT, particularly outside the US, and it shows how the global dynamics of tech and distribution have changed,' Meeker told Axios. However, comparisons between ChatGPT and Google's launch in 1998 are met with skepticism by some analysts. Google debuted when global internet access was limited, household connectivity was growing slowly, and smartphones were nonexistent. ChatGPT, by contrast, launched into a digital ecosystem primed with widespread smartphone penetration, high internet accessibility, and mature cloud infrastructure. More to come
Indian Express
8 hours ago
- Business
- Indian Express
Mary Meeker's AI report: OpenAI's ChatGPT is growing 5.5x faster than Google Search
There appears to be growing evidence to suggest that more people are turning to AI chatbots like OpenAI's ChatGPT, instead of Google Search, to find information online. Since its launch in 2022, ChatGPT has handled over 365 billion search queries every year at a growth rate that is 5.5 times faster than Google Search, which took 11 years to reach the same milestone. These figures were revealed in a recent report on AI trends published by prominent investor and analyst Mary Meeker. Widely known as the 'Queen of the Internet', Meeker boasts of a strong track record in correctly identifying major disruptions in the tech industry such as the rise of social media platforms like Facebook, smartphone adoption, etc. Image caption: ChatGPT is catching up in user retention, though it still trails Google Search in absolute percentage. Her first report in six years, the 360-page analysis explores the state of AI and its impact on global behaviour, industries, and economic systems. 'We've never seen anything like the user growth of ChatGPT, particularly outside the U.S., and it shows how the global dynamics of tech and distribution have changed,' Meeker was quoted as saying by Axios. These figures point to a potential mass deflection away from traditional search engines toward AI chatbots like ChatGPT. It comes weeks after Eddy Cue, a senior executive at Apple, testified in the Google antitrust remedies trial that search volume to its Safari browser (which runs on Google's search engine) had declined for the first time in 22 years. Cue's testimony managed to spook Google parent Alphabet's investors, sending shares down 7.5 per cent. While AI tools have seen rapid growth, the Meeker report pointed out that data and internet access may be key differentiating factors in the journeys of OpenAI and Google. When Google was founded in 1998, it sought to 'organise the world's information and make it universally accessible and useful' at a time when internet access was just emerging and smartphones did not exist. Today, AI companies are able to leverage vast amounts of data that have already been digitised and made accessible for use. 'AI is a compounder – on internet infrastructure, which allows for wicked-fast adoption of easy-to-use broad-interest services,' the report noted. 'Thanks to the rise in low-cost satellite-driven Internet connectivity / access, the potential for the 2.6B (or 32% of the world's population) that is not online to come online is increasing. These new users will start from scratch with AI functionality,' the report added. Based on data from Morgan Stanley, the report also speculated that while it took between 6-12 years for 50 per cent households in the US to have access to mobile and desktop internet, it will take only 3 years for the same number of households to become users of AI platforms. But even if more users are opting for AI chatbots and AI-powered search engines, traditional search engines might still have the upper hand (for now). A new study published by SEO consultancy firm OneLittleWeb found that the total number of visits to the top 10 AI chatbots in 2024 was only 2.96 per cent of search engine traffic. Regardless, Google is not exactly sitting on the sidelines. If anything, the tech giant has doubled down on using AI to augment its search functions with AI Mode and AI Overviews in Google Search. The report identified India as a key user-base market for AI companies, owing to its large demography and internet penetration. It is the second largest market for ChatGPT, and contributes the highest percentage of its mobile app users (13.5 per cent), ahead of countries like the US (8.9 per cent), and Germany (3 per cent). It also highlights the unprecedented pace at which AI adoption is rising. For instance, it took the likes of Instagram, WhatsApp, and YouTube between 2-4 years to reach 100 million users, but for ChatGPT, it took less than 3 months. In addition, the report provided inputs on the battle between open and closed AI models. While closed models such as OpenAI's GPT-4 or Anthropic's Claude follow a centralised, capital-intensive arc, startups, academics, and governments without billion-dollar budgets have access to frontier AI models such as Meta's Llama or Mistral's Mixtral as they can easily be downloaded from platforms like Hugging Face. 'The split has consequences. Open-source is fueling sovereign AI initiatives, local language models, and community-led innovation. Closed models, meanwhile, are dominating consumer market share and large enterprise adoption. We're watching two philosophies unfold in parallel – freedom vs. control, speed vs. safety, openness vs. optimization – each shaping not just how AI works, but who gets to wield it,' the report said. 'And China (as of Q2:25) – based on the number of large-scale AI models released – is leading the open-source race, with three large-scale models released in 2025 – DeepSeek-R1, Alibaba Qwen-32B and Baidu Ernie 4.5,' it added.
India Today
11 hours ago
- Business
- India Today
India making same mistake with AI that it made with Dot Com, China trying to be creator and not user
When we look at the tech landscape in China and India, there is one fact that jumps out immediately: Indians are users whereas Chinese are creators. In other words, over here in India most of the tech tools that we use, whether it is a search engine or the device on which we are accessing the search engine, is made by a company that is not Indian. In China, in contrast, most of the tech tools and services used by people there have been created by Chinese companies. advertisementThis remains apparent even though of late there has been some change. In the last 10 odd years a lot has changed for the better. The data centres and server farms that power many global services like Gmail, YouTube and Microsoft Office 365 are now located in India. Similarly, a lot of phones sold in India by companies, which have their headquarters outside India, are now assembled in India. Yet, India made certain 'mistakes' — or rather choices — in the late 1990s and early 2000s which made India a user and not a creator. When it comes to AI, it seems the country is making the same is in contrast to the Chinese approach. China, yet again after following the same rulebook during the Dot Com era, is forging ahead with its plans to be a creator for the AI era. advertisement The differing approaches are already visible in the way people of both countries use AI. Just a few days ago a report by a company called Bond, a report bylined by famed tech analyst Mary Meeker, highlighted that Indians were the biggest users of ChatGPT in the world. Of all monthly active users of ChatGPT, Indians are around 14 per cent. In contrast, China doesn't even find a space in the Top 10 countries ranked on the basis of ChatGPT. So, what is Chinese using? Chinese are using DeepSeek. Almost 33 per cent of Chinese AI users utilise DeepSeek. And I have suspicion that the rest use AI models like Qwen and Ernie, which too have been developed by Chinese tech companies locally. It is as if we are going through deja vu. The journey India had during the Dot Com era, when it simply adopted and used technologies created by American companies, is getting repeated in the early days of the AI era. The results might end up being the same, that is Indians may end up being rent-payers instead of owners or rent-seekers. In the early days of the Dot Com boom, China moved fast to not only discourage its people from using tech and tools created by foreign companies, but it also invested heavily in creating similar tools and technologies within the country. The idea was not to use tech. The idea was simple: tech is powerful and we want to not just use it but also own it. China created an ecosystem where it was able to replicate tools like WhatsApp, Google and Microsoft. Its home-grown apps and services matched the best offered by global companies. The result was that China's tech boom did not benefit Silicon Valley. Instead, it benefited China. Now that AI is the next big thing, China is again hoping to recreate what it achieved with Dot Com. In fact, this time around, China has bigger ambitions. Its companies are not just creating world-class AI models like DeepSeek R1 — its latest update makes it as good as ChatGPT o3 and Google Gemini 2.5 Pro — but they are also hoping to spread them wider in the world. This is the reason why even as American AI companies chase early profits and closed models, the Chinese companies from Alibaba, which has Qwen, to DeepSeek are open-sourcing their technology and AI methods. In contrast, India again seems happy to be a mere user and early adopter. Being a user and early adopter has its benefits — India's IT industry would not have been possible if India had shunned global tech companies in late 1990s — but it has its disadvantages as well. It forces a country into a rent-paying agreement with the global giants. India of 2025 is not the India of the 1990s. As a country we should be dreaming bigger and thinking more strategically. As a country we should be investing more in emerging technologies like AI and thinking of creating an ecosystem that can help Indian companies make world-class AI tools. It is possible that the endeavour might not succeed. It may lead to nothing and we may remain the users and not turn into creators. But it is also worth trying. Because repeating the choices made during the Dot Com era will lead to the same outcomes, the kind of outcomes that we may in 10 or 15 years from now will not like.
India Today
13 hours ago
- Business
- India Today
India a major player in AI adoption, but China surging on open-source AI: Report
Mary Meeker, often called the 'Queen of the Internet' for her influential tech trend reports in the 1990s and 2000s, is back with a deep dive into artificial intelligence. Her latest report — Trends: Artificial Intelligence — spans 340 pages and is packed with charts, predictions, and sharp insights. If one word stands out, it's 'unprecedented.' Meeker uses it 51 times, and not without reason. 'The pace and scope of change related to the artificial intelligence technology evolution is indeed unprecedented,' she writes. The report shows how AI adoption is moving faster than any technology before it, with billions of users, soaring capital spending, and increasing global impact. From how we search for answers to how we work, code, create, and communicate, AI is now part of everyday of the clearest signs of this shift is the explosive growth of ChatGPT. While apps like Instagram and YouTube took two to four years to reach 100 million users, ChatGPT did it in under three months. As of April 2025, it had 800 million weekly users and processed more than 365 billion searches annually — more than Google managed in its first leads in adoptionIndia is playing a crucial role in this growth. According to Meeker's report, the country contributes the highest share (13.5 per cent) of ChatGPT's mobile app users, ahead of the US (8.9 per cent) and Germany (3 per cent). It's also the third-largest user base for DeepSeek, a Chinese AI platform, accounting for 6.9 per cent of its users. That's significant considering ChatGPT is banned in both China and Russia — the top two markets for India's digital population and mobile-first internet habits are helping it emerge as a major AI consumer market, and one that global platforms can't afford to surges on open-source AIThe report also outlines a growing split between closed AI models and open-source systems. Closed models like GPT-4 and Claude dominate in performance and are popular among enterprises due to their ease of use and capabilities. But they're also more opaque, tightly controlled, and require massive capital to build and the other hand, open-source models such as Meta's Llama and Mistral's Mixtral are lowering the barrier to entry. Developers, startups, and even governments can download and fine-tune them without billion-dollar budgets. Meeker notes how open models are powering local language tools, community innovation, and sovereign AI China is leading the open-source race. In just the second quarter of 2025, it released three major models — DeepSeek-R1, Alibaba's Qwen-32B, and Baidu's Ernie 4.5.'We're watching two philosophies unfold in parallel — freedom vs control, speed vs safety, openness vs optimisation,' Meeker writes. 'Each is shaping not just how AI works, but who gets to wield it.'What lies aheadDespite the buzz, Meeker strikes a note of caution. While AI platforms have amassed huge user bases, most still earn relatively low revenue per user, a median of just $23 (around Rs 2,000). Investors are betting big, but the business models are still training large models has become increasingly expensive, sometimes costing up to $1 billion, though the cost of using them is dropping fast. Chips from Nvidia, Google, and Amazon are getting more energy-efficient and powerful, fuelling this it all is a race for infrastructure — chips, GPUs, data centres — that Meeker compares to the space race. With both China and the US leading in development, she says the mix of technological progress and geopolitical tension makes this era one of both opportunity and uncertainty.
