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Unacademy co-founders may step back, refocus on new edtech venture Airlearn

Unacademy co-founders may step back, refocus on new edtech venture Airlearn

Unacademy's top brass is preparing for a leadership reshuffle, with co-founders Gaurav Munjal and Roman Saini expected to step back from day-to-day operations in the coming two to three months, according to people familiar with the matter. The pair is reportedly engaged in high-level talks with the company's board and key investors to carve out Airlearn—the edtech firm's language learning platform—into an independent entity. The third co-founder, Hemesh Singh, stepped down in June 2024. The trio had originally launched Unacademy nearly a decade ago, starting out as a YouTube channel before evolving into one of India's leading edtech platforms.
Sumit Jain, founder of Graphy and elevated to partner at Unacademy following Hemesh Singh's departure last year, is poised to take charge of the company's offline operations, according to people familiar with the transition. At the same time, Unacademy is in the final stages of appointing new leadership to oversee its core online education business, according to the sources.
An email query to Unacademy remained unanswered till press time.
Jain joined Unacademy in 2020 following the acquisition of his startup Opentalk. In 2023, Unacademy promoted Jain, head of its Graphy division, to the role of partner—a designation internally likened to a late-stage co-founder. Jain co-founded Graphy, a platform that enables educators and content creators to build and sell their own online courses.
Before his tenure at Unacademy, Jain co-founded real estate portal CommonFloor in 2007 and served as its chief executive officer. It was later acquired by classifieds platform Quikr in 2016. Notably, CommonFloor had earlier acquired Flat.to, an accommodation platform founded by Unacademy's Gaurav Munjal, in 2015. Flat.to specialised in helping students and young professionals find housing in new cities.
Munjal and Saini plan to devote their efforts to scaling Airlearn, Unacademy's language learning venture, which positions itself as a competitor to Duolingo, according to the sources. As of April, the app had attracted 70,000 daily active users and nearly 300,000 monthly users, according to a company update shared by Munjal on social media. Of those, 17,500 are paying subscribers, contributing to an annual recurring revenue of $2 million.
The majority of Airlearn's user base hails from the US, UK, and Germany. Over the past year, users have completed more than 20 million lessons on the platform. The app currently offers 13 language courses, with English-to-Spanish, English-to-French, and English-to-Korean emerging as the most in demand.
Unacademy's board includes representatives from global investors SoftBank and General Atlantic, as well as prominent entrepreneurs Bhavin Turakhia of Zeta and Sujeet Kumar of Udaan, alongside co-founders Gaurav Munjal and Roman Saini. The edtech company has secured approximately $880 million in total funding, according to data provider Tracxn. In 2021, it raised $440 million in a funding round led by Temasek, with super pro-rata participation from General Atlantic, Tiger Global, and SoftBank Vision Fund, taking the company's valuation to $3.44 billion. The three original co-founders collectively retain a roughly 15 per cent stake in the company.
Unacademy recorded Rs 988.4 crore in total revenue during FY24, a 5.33 per cent decline compared to Rs 1,044 crore in FY23, according to Entrackr. However, the SoftBank-backed firm cut its losses by 62 per cent, reducing them to Rs 631 crore in the fiscal year ending March 2024 from Rs 1,678 crore in FY23.
Munjal recently claimed that Unacademy has reduced its cash burn in the core business from over Rs 1,000 crore annually three years ago to under Rs 200 crore this calendar year. He added that Unacademy has Rs 1,200 crore in the bank and is financially stable. Some of its businesses, like Graphy and PrepLadder, are making money every month.

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Donald Trump to attend NATO summit on Tuesday, will urge members to boost defense spending
Donald Trump to attend NATO summit on Tuesday, will urge members to boost defense spending

Indian Express

time33 minutes ago

  • Indian Express

Donald Trump to attend NATO summit on Tuesday, will urge members to boost defense spending

The NATO alliance has crafted a summit in The Hague this week to shore itself up by satisfying US President Donald Trump with a big new defence spending goal – but it now risks being dominated by the repercussions of his military strikes on Iran. The two-day gathering is also intended to signal to Russian President Vladimir Putin that NATO is united, despite Trump's previous criticism of the alliance, and determined to expand and upgrade its defences to deter any attack from Moscow. The summit and its final statement are meant to be short and focused on heeding Trump's call to spend 5% of GDP on defence – a big jump from the current 2% goal. It is to be achieved by investing more in both militaries and other security-related spending. Spanish Prime Minister Pedro Sanchez, however, upset NATO Secretary General Mark Rutte's preparations on Sunday as he declared Madrid did not need to meet the new spending target even as Spain approved the summit statement. Ukrainian President Volodymyr Zelenskyy has had to settle for a seat at the pre-summit dinner on Tuesday evening – rather than a formal session with the leaders when they meet on Wednesday – due to his volatile relationship with Trump. The US bombing of Iranian nuclear sites at the weekend makes the summit much less predictable than Rutte – a former prime minister of the Netherlands hosting the gathering in his home city – and other NATO member countries would like. Much will depend on the precise situation in the Middle East when the summit takes place – such as whether Iran has retaliated against the US – and whether other NATO leaders address the strikes with Trump or in comments to reporters. If the meeting does not go to plan, NATO risks appearing weak and divided, just as European members confront what they see as their biggest threat since the end of the Cold War – Russia – while bracing for possible U.S. troop cuts on the continent. Under the new defence spending plan, countries would spend 3.5% of GDP on 'core defence' – essentially, weapons and troops – and a further 1.5% on security-related investments such as adapting roads, ports and bridges for use by military vehicles, protecting pipelines and deterring cyber-attacks. Such an increase – to be phased in over 10 years – would mean hundreds of billions of dollars more spending on defence. Last year, alliance members collectively spent about 2.6% of NATO GDP on core defence, amounting to about $1.3 trillion, according to NATO estimates. The lion's share came from the United States, which spent almost $818 billion. Washington has insisted it is time for Europeans to take on more of the financial and military burden of defending their continent. European leaders say they have got that message but want an orderly and gradual transition, fearful that any gaps in their defences could be exploited by Putin. They are particularly keen to stress their spending commitment as Trump has previously threatened not to protect allies that do not spend enough on defence. A prepared text summit statement agreed by NATO governments and seen by Reuters says: 'We reaffirm our ironclad commitment to collective defence as enshrined in Article 5 of the Washington Treaty – that an attack on one is an attack on all.' As part of their efforts to keep Trump onside, NATO officials have shunted difficult topics to the sidelines of the summit or kept them off the agenda altogether. While many European nations see Russia as an ever-growing threat, Trump has expressed a desire for better economic relations with Moscow – a prospect that Europeans think would help Russia to strengthen its military and threaten them more. Similarly, many Europeans are deeply wary of Trump's moves to lessen Russia's diplomatic isolation as part of his efforts to secure a deal to end the war in Ukraine. The brief summit statement will include just one reference to Russia as a threat to Euro-Atlantic security and another to allies' commitment to supporting Ukraine, diplomats say.

Global AI gap widens as compute power divides nations, economies
Global AI gap widens as compute power divides nations, economies

Business Standard

time2 hours ago

  • Business Standard

Global AI gap widens as compute power divides nations, economies

By Adam Satariano and Paul Mozur Graphics by Karl Russell and June Kim Last month, Sam Altman, the chief executive of the artificial intelligence company OpenAI, donned a helmet, work boots and a luminescent high-visibility vest to visit the construction site of the company's new data center project in Texas. Bigger than New York's Central Park, the estimated $60 billion project, which has its own natural gas plant, will be one of the most powerful computing hubs ever created when completed as soon as next year. Around the same time as Altman's visit to Texas, Nicolás Wolovick, a computer science professor at the National University of Córdoba in Argentina, was running what counts as one of his country's most advanced AI computing hubs. It was in a converted room at the university, where wires snaked between aging AI chips and server computers. Artificial intelligence has created a new digital divide, fracturing the world between nations with the computing power for building cutting-edge AI systems and those without. The split is influencing geopolitics and global economics, creating new dependencies and prompting a desperate rush to not be excluded from a technology race that could reorder economies, drive scientific discovery and change the way that people live and work. The biggest beneficiaries by far are the United States, China and the European Union. Those regions host more than half of the world's most powerful data centers, which are used for developing the most complex AI systems, according to data compiled by Oxford University researchers. Only 32 countries, or about 16 percent of nations, have these large facilities filled with microchips and computers, giving them what is known in industry parlance as 'compute power.' The United States and China, which dominate the tech world, have particular influence. American and Chinese companies operate more than 90 percent of the data centers that other companies and institutions use for AI work, according to the Oxford data and other research. In contrast, Africa and South America have almost no AI computing hubs, while India has at least five and Japan at least four, according to the Oxford data. More than 150 countries have nothing. Today's AI data centers dwarf their predecessors, which powered simpler tasks like email and video streaming. Vast, power-hungry and packed with powerful chips, these hubs cost billions to build and require infrastructure that not every country can provide. With ownership concentrated among a few tech giants, the effects of the gap between those with such computing power and those without it are already playing out. The world's most used AI systems, which power chatbots like OpenAI's ChatGPT, are more proficient and accurate in English and Chinese, languages spoken in the countries where the compute power is concentrated. Tech giants with access to the top equipment are using AI to process data, automate tasks and develop new services. Scientific breakthroughs, including drug discovery and gene editing, rely on powerful computers. AI-powered weapons are making their way onto battlefields. Nations with little or no AI compute power are running into limits in scientific work, in the growth of young companies and in talent retention. Some officials have become alarmed by how the need for computing resources has made them beholden to foreign corporations and governments. 'Oil-producing countries have had an oversized influence on international affairs; in an AI-powered near future, compute producers could have something similar since they control access to a critical resource,' said Vili Lehdonvirta, an Oxford professor who conducted the research on AI data centers with his colleagues Zoe Jay Hawkins and Boxi Wu. AI computing power is so precious that the components in data centers, such as microchips, have become a crucial part of foreign and trade policies for China and the United States, which are jockeying for influence in the Persian Gulf, in Southeast Asia and elsewhere. At the same time, some countries are beginning to pour public funds into AI infrastructure, aiming for more control over their technological futures. The Oxford researchers mapped the world's AI data centers, information that companies and governments often keep secret. To create a representative sample, they went through the customer websites of nine of the world's biggest cloud-service providers to see what compute power was available and where their hubs were at the end of last year. The companies were the US firms Amazon, Google and Microsoft; China's Tencent, Alibaba and Huawei; and Europe's Exoscale, Hetzner and OVHcloud. The research does not include every data center worldwide, but the trends were unmistakable. US companies operated 87 AI computing hubs, which can sometimes include multiple data centers, or almost two-thirds of the global total, compared with 39 operated by Chinese firms and six by Europeans, according to the research. Inside the data centers, most of the chips — the foundational components for making calculations — were from the US chipmaker Nvidia. 'We have a computing divide at the heart of the AI revolution,' said Lacina Koné, the director general of Smart Africa, which coordinates digital policy across the continent. He added: 'It's not merely a hardware problem. It's the sovereignty of our digital future.' 'Sometimes I Want to Cry' There has long been a tech gap between rich and developing countries. Over the past decade, cheap smartphones, expanding internet coverage and flourishing app-based businesses led some experts to conclude that the divide was diminishing. Last year, 68 percent of the world's population used the internet, up from 33 percent in 2012, according to the International Telecommunication Union, a United Nations agency. With a computer and knowledge of coding, getting a company off the ground became cheaper and easier. That lifted tech industries across the world, be they mobile payments in Africa or ride hailing in Southeast Asia. But in April, the U.N. warned that the digital gap would widen without action on AI Just 100 companies, mostly in the United States and China, were behind 40 percent of global investment in the technology, the U.N. said. The biggest tech companies, it added, were 'gaining control over the technology's future.' The gap stems partly from a component everyone wants: a microchip known as a graphics processing unit, or GPU. The chips require multibillion-dollar factories to produce. Packed into data centers by the thousands and mostly made by Nvidia, GPUs provide the computing power for creating and delivering cutting-edge AI models. Obtaining these pieces of silicon is difficult. As demand has increased, prices for the chips have soared, and everyone wants to be at the front of the line for orders. Adding to the challenges, these chips then need to be corralled into giant data centers that guzzle up dizzying amounts of power and water. Many wealthy nations have access to the chips in data centers, but other countries are being left behind, according to interviews with more than two dozen tech executives and experts across 20 countries. Renting computing power from faraway data centers is common but can lead to challenges, including high costs, slower connection speeds, compliance with different laws, and vulnerability to the whims of American and Chinese companies. Qhala, a start-up in Kenya, illustrates the issues. The company, founded by a former Google engineer, is building an AI system known as a large language model that is based on African languages. But Qhala has no nearby computing power and rents from data centers outside Africa. Employees cram their work into the morning, when most American programmers are sleeping, so there is less traffic and faster speeds to transfer data across the world. 'Proximity is essential,' said Shikoh Gitau, 44, Qhala's founder. 'If you don't have the resources for compute to process the data and to build your AI models, then you can't go anywhere,' said Kate Kallot, a former Nvidia executive and the founder of Amini, another AI start-up in Kenya. In the United States, by contrast, Amazon, Microsoft, Google, Meta and OpenAI have pledged to spend more than $300 billion this year, much of it on AI infrastructure. The expenditure approaches Canada's national budget. Harvard's Kempner Institute, which focuses on AI, has more computing power than all African-owned facilities on that continent combined, according to one survey of the world's largest supercomputers. Brad Smith, Microsoft's president, said many countries wanted more computing infrastructure as a form of sovereignty. But closing the gap will be difficult, particularly in Africa, where many places do not have reliable electricity, he said. Microsoft, which is building a data center in Kenya with a company in the United Arab Emirates, G42, chooses data center locations based largely on market need, electricity and skilled labor. 'The AI era runs the risk of leaving Africa even further behind,' Smith said. Jay Puri, Nvidia's executive vice president for global business, said the company was also working with various countries to build out their AI offerings. 'It is absolutely a challenge,' he said. Chris Lehane, OpenAI's vice president of global affairs, said the company had started a program to adapt its products for local needs and languages. A risk of the AI divide, he said, is that 'the benefits don't get broadly distributed, they don't get democratized.' Tencent, Alibaba, Huawei, Google, Amazon, Hetzner and OVHcloud declined to comment. The gap has led to brain drains. In Argentina, Dr. Wolovick, 51, the computer science professor, cannot offer much compute power. His top students regularly leave for the United States or Europe, where they can get access to GPUs, he said. 'Sometimes I want to cry, but I don't give up,' he said. 'I keep talking to people and saying: 'I need more GPUs. I need more GPUs.'' The uneven distribution of AI computing power has split the world into two camps: nations that rely on China and those that depend on the United States. The two countries not only control the most data centers but are set to build more than others by far. And they have wielded their tech advantage to exert influence. The Biden and Trump administrations have used trade restrictions to control which countries can buy powerful AI chips, allowing the United States to pick winners. China has used state-backed loans to encourage sales of its companies' networking equipment and data centers. The effects are evident in Southeast Asia and the Middle East. In the 2010s, Chinese companies made inroads into the tech infrastructure of Saudi Arabia and the Emirates, which are key American partners, with official visits and generous financing. The United States sought to use its AI lead to push back. In one deal with the Biden administration, an Emirati company promised to keep out Chinese technology in exchange for access to AI technology from Nvidia and Microsoft. In May, President Trump signed additional deals to give Saudi Arabia and the Emirates even more access to American chips. A similar jostling is taking place in Southeast Asia. Chinese and US companies like Amazon, Alibaba, Nvidia, Google and ByteDance, the owner of TikTok, are building data centers in Singapore and Malaysia to deliver services across Asia. Globally, the United States has the lead, with American companies building 63 A.I computing hubs outside the country's borders, compared with 19 by China, according to the Oxford data. All but three of the data centers operated by Chinese firms outside their home country use chips from Nvidia, despite efforts by China to produce competing chips. Chinese firms were able to buy Nvidia chips before US government restrictions. Even US-friendly countries have been left out of the AI race by trade limits. Last year, William Ruto, Kenya's president, visited Washington for a state dinner hosted by President Joseph R. Biden Jr. Several months later, Kenya was omitted from a list of countries that had open access to needed semiconductors. That has given China an opening, even though experts consider the country's AI chips to be less advanced. In Africa, policymakers are talking with Huawei, which is developing its own AI chips, about converting existing data centers to include Chinese-made chips, said Koné of Smart Africa. 'Africa will strike a deal with whoever can give access to GPUs,' he said. Alarmed by the concentration of AI power, many countries and regions are trying to close the gap. They are providing access to land and cheaper energy, fast-tracking development permits and using public funds and other resources to acquire chips and construct data centers. The goal is to create 'sovereign AI' available to local businesses and institutions. In India, the government is subsidizing compute power and the creation of an AI model proficient in the country's languages. In Africa, governments are discussing collaborating on regional compute hubs. Brazil has pledged $4 billion on AI projects. 'Instead of waiting for AI to come from China, the US, South Korea, Japan, why not have our own?' Brazil's president, Luiz Inácio Lula da Silva, said last year when he proposed the investment plan. Even in Europe, there is growing concern that American companies control most of the data centers. In February, the European Union outlined plans to invest 200 billion euros for AI projects, including new data centers across the 27-nation bloc. Mathias Nobauer, the chief executive of Exoscale, a cloud computing provider in Switzerland, said many European businesses want to reduce their reliance on US tech companies. Such a change will take time and 'doesn't happen overnight,' he said. Still, closing the divide is likely to require help from the United States or China. Cassava, a tech company founded by a Zimbabwean billionaire, Strive Masiyiwa, is scheduled to open one of Africa's most advanced data centers this summer. The plans, three years in the making, culminated in an October meeting in California between Cassava executives and Jensen Huang, Nvidia's chief executive, to buy hundreds of his company's chips. Google is also one of Cassava's investors. The data center is part of a $500 million effort to build five such facilities across Africa. Even so, Cassava expects it to address only 10 percent to 20 percent of the region's demand for AI At least 3,000 start-ups have expressed interest in using the computing systems. 'I don't think Africa can afford to outsource this AI sovereignty to others,' said Hardy Pemhiwa, Cassava's chief executive. 'We absolutely have to focus on and ensure that we don't get left behind.'

Delhi University offers short-term language courses for 2025–26 session
Delhi University offers short-term language courses for 2025–26 session

India Today

time3 hours ago

  • India Today

Delhi University offers short-term language courses for 2025–26 session

Delhi University's Centre for Indian and Foreign Languages (CIFL) has opened admissions for its popular part-time certificate courses in foreign languages for the academic year 2025– short-term programs, aimed at students and working professionals alike, offer immersive training in eight globally spoken languages: Chinese, Japanese, Korean, Italian, Spanish, French, German, and under the Open Learning Development Centre (OLDC), CIFL's courses are affiliated with the university's Departments of Germanic and Romance Studies and East Asian Studies. Upon successful completion, students will receive a certificate directly from the University of NOW OPEN The application window is open from June 16 to July 12, 2025, with the entire admission process being conducted online through Applicants must have completed Class 12 or an equivalent qualification. Admissions will be merit-based, calculated using the best four subjects (including English or Hindi).General category applicants must have secured a minimum of 50 percent aggregate marks and at least 45 percent in English or Hindi. Relaxations are available for reserved categories, with a lower cutoff of 45 percent. Graduates and postgraduates are eligible for bonus weightage—10 percent and 15 percent respectively—to be added to their merit candidate can apply for only one language course, and the application fee is Rs 200 per course. Supporting documents, including a recent photograph, 10+2 marksheets, and a scanned signature, must be uploaded during the registration DURATION AND FEESadvertisementThe part-time courses are scheduled to begin in mid-August 2025 and will run through March 2026. Classes will be conducted in person on campus, and detailed timetables will be shared a week before total course fee is Rs 10,000, with an additional Rs 510 examination fee. Students not previously enrolled with DU will also need to pay a one-time university enrollment fee of Rs 300. Once paid, the fees are non-refundable, except in the rare case where a course is cancelled by the link to check and download the prospectus MERIT LISTS AND COUNSELLINGAdmissions will be carried out in three rounds:First Merit List: July 17 (Counselling: July 18,20)Second Merit List: July 22 (Counselling: July 23,25)Third Merit List: July 27 (Counselling: July 28,30)Selected candidates must confirm their admission and pay the fees within three days of their respective counselling AND REMINDERSCIFL has emphasised strict adherence to guidelines. Applicants must ensure all information matches their official documents exactly, and no changes can be made post-submission. Shifting between courses after admission will not be allowed, and admission remains provisional until original documents are enrolling through CIFL will receive an official DU student ID card but will not be entitled to central DU facilities like library access or hostel InTrending Reel

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