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Khaleej Times
23-04-2025
- Business
- Khaleej Times
33% of Dubai government jobs at risk from AI, clerical roles most exposed, study finds
Approximately 33 per cent of Dubai government jobs are at a high risk of exposure to generative Artificial Intelligence (AI), according to a new study. It also found that clerical support workers were the most exposed and that Gen AI could take away 24 per cent of their job tasks. The study conducted by the Mohammed bin Rashid School of Government (MBRSG) in collaboration with the Dubai Government Human Resources Department surveyed 2,480 employees from 34 Dubai government entities to assess Gen AI's impact on job roles. The study also interviewed Chief AI Officers (CIAOs) from five leading government entities for recommendations. "Most of the employees that took the survey already used Gen AI in some form or another with 64 per cent being users," said Keertana Subramani, a researcher with MBRSG. "Most of the employees were at a regular or intermediate level, with a smaller percentage, around 16 per cent, being advanced or expert users." She added that a survey of senior managers "surprisingly" found that 48 per cent of them "were okay with people using Gen AI without disclosing that they used it" — an indication of how widely it was being used. Content creation The technology was most widely used for content creation, followed by strategy development and data analysis. More than 80 per cent of users reported saving time using Gen AI, and 46 per cent said it increased the quality of their work and productivity. Challenges faced by users included inaccuracy of information — an issue faced by 40 per cent of responders- and data privacy issues. "A lot of people were concerned about data privacy, especially with regards to organisational use cases of their data, as well as bias,' she said. 'There also needs to be a better representation of the local culture, language, and other data pertinent to this field, which is missing in most international benchmark Gen AI tools today." The study also suggested that training and upskilling employees were "the key of the hour" and that awareness and openness to the adoption of new technology across departments are also very important. Use of AI in SMEs A separate report by MBSRG also found that 99 per cent of small and medium enterprises (SMEs) were either using or exploring Gen AI, with the highest usage being in marketing, customer service, design, and analytics. The research suggested that infrastructural needs in the region were evolving and that the biggest challenges included affordable computing and data storage. There was a high awareness of AI and data policies among SMEs, but a shortage of talent plagued the entire region. Additionally, foreign intellectual property registration among AI SMEs was low, at only 9 per cent. The UAE is ranked fifth globally in Stanford's AI Vibrancy Index and 13th in the Oxford Government AI Readiness Index. With SMEs representing 94 per cent of UAE companies, their AI adoption is critical for national economic development.
Saudi Gazette
19-02-2025
- Business
- Saudi Gazette
India seeks AI breakthrough — but is it falling behind?
NEW DELHI — Two years after ChatGPT took the world by storm, China's DeepSeek has sent ripples through the tech industry by collapsing the cost of developing generative artificial intelligence as the global race for AI supremacy heats up, India appears to have fallen behind, especially in creating its own foundational language model that's used to power things like government claims a homegrown equivalent to DeepSeek isn't far away. It is supplying startups, universities and researchers with thousands of high-end chips needed to develop it in under 10 months.A flurry of global AI leaders have also been talking up India's capabilities being initially dismissive, OpenAI CEO Sam Altman this month said India should be playing a leading role in the AI revolution. The country is now OpenAI's second largest market by like Microsoft have put serious money on the table – committing $3bn (£2.4bn) for cloud and AI infrastructure. Nvidia's Jensen Huang also spoke of India's "unmatched" technical talent as a key to unlocking its future 200 startups working on generative AI, there's enough entrepreneurial activity under way despite having key ingredients for success in place, India risks lagging behind without basic structural fixes to education, research and state policy, experts and the US already have a "four to five year head-start", having invested heavily in research and academia and developed AI for military applications, law enforcement and now large language models, technology analyst Prasanto Roy told the in the top five globally on Stanford's AI Vibrancy Index – which ranks countries on metrics such as patents, funding, policy and research – India is still far behind the two superpowers in many key and the US were granted 60% and 20% of the world's total AI patents between 2010 and 2022 respectively. India got less than half a AI startups also received a fraction of the private investment that US and Chinese companies got in state-funded AI mission, meanwhile, is worth a trifling $1bn compared with the staggering $500bn the US has earmarked for Stargate — a plan to build massive AI infrastructure in the US — or China's reported $137bn initiative to become an AI hub by DeepSeek's success has demonstrated that AI models can be built on older, less expensive chips — something India can take solace from — lack of "patient" or long-term capital from either industry or government is a major problem, says Jaspreet Bindra, founder of a consultancy that builds AI literacy in organizations."Despite what has been heard about DeepSeek developing a model with $5.6m, there was much more capital behind it."Lack of high-quality India-specific datasets required for training AI models in regional languages such as Hindi, Marathi or Tamil is another problem, especially given India's language for all its issues, India punches far above its weight on talent – with 15% of the world's AI workers coming from the issue though, as Stanford's AI talent migration research shows, is that more and more of them are choosing to leave the is partly because "foundational AI innovations typically come from deep R&D in universities and corporate research labs", Bindra India lacks a supporting research environment, with few deep-tech breakthroughs emerging from its academic and corporate enormous success of India's payments revolution was due to strong government-industry-academia collaboration — a similar model, he says, needs to be replicated for the AI Unified Payment Interface (UPI), a digital payment system developed by a government organization, has revolutionized digital payments in India, allowing millions to transact at the click of a button or by scanning a QR $200bn outsourcing industry, home to millions of coders, should have ideally been at the forefront of India's AI ambitions. But the IT companies have never really shifted their focus from cheap service-based work to developing foundational consumer AI technologies."It's a huge gap which they left to the startups to fill," says unsure though whether startups and government missions can do this heavy lifting quickly enough, adding that the 10-month timeline set by the minster was a knee-jerk reaction to DeepSeek's sudden emergence."I don't think India will be able to produce anything like DeepSeek at least for the next few years," he adds. It is a view many others can, however, continue to build and tweak applications upon existing open source platforms like DeepSeek "to leapfrog our own AI progress", Bhavish Agarwal, founder of one of India's earliest AI startups Krutrim, recently wrote on the longer run though, developing a foundational model will be critical to have strategic autonomy in the sector and reduce import dependencies and threats of sanctions, say will also need to increase its computational power or hardware infrastructure to run such models, which means manufacturing semiconductors — something that's not taken off yet. Much of this will need to fall in place before the gap with the US and China is narrowed meaningfully. — BBC
Yahoo
18-02-2025
- Business
- Yahoo
India seeks AI breakthrough - but is it falling behind?
Two years after ChatGPT took the world by storm, China's DeepSeek has sent ripples through the tech industry by collapsing the cost for developing generative artificial intelligence applications. But as the global race for AI supremacy heats up, India appears to have fallen behind, especially in creating its own foundational language model that's used to power things like chatbots. The government claims a homegrown equivalent to DeepSeek isn't far away. It is supplying startups, universities and researchers with thousands of high-end chips needed to develop it in under 10 months. A flurry of global AI leaders have also been talking up India's capabilities recently. After being initially dismissive, OpenAI CEO Sam Altman this month said India should be playing a leading role in the AI revolution. The country is now OpenAI's second largest market by users. Others like Microsoft have put serious money on the table – committing $3bn (£2.4bn) for cloud and AI infrastructure. Nvidia's Jensen Huang also spoke of India's "unmatched" technical talent as a key to unlocking its future potential. With 200 startups working on generative AI, there's enough entrepreneurial activity under way too. But despite having key ingredients for success in place, India risks lagging behind without basic structural fixes to education, research and state policy, experts say. China and the US already have a "four to five year head-start", having invested heavily in research and academia and developed AI for military applications, law enforcement and now large language models, technology analyst Prasanto Roy told the BBC. Though in the top five globally on Stanford's AI Vibrancy Index – which ranks countries on metrics such as patents, funding, policy and research – India is still far behind the two superpowers in many key areas. China and the US were granted 60% and 20% of the world's total AI patents between 2010 and 2022 respectively. India got less than half a percent. India's AI startups also received a fraction of the private investment that US and Chinese companies got in 2023. India's state-funded AI mission, meanwhile, is worth a trifling $1bn compared with the staggering $500bn the US has earmarked for Stargate - a plan to build massive AI infrastructure in the US - or China's reported $137bn initiative to become an AI hub by 2030. While DeepSeek's success has demonstrated that AI models can be built on older, less expensive chips - something India can take solace from - lack of "patient" or long-term capital from either industry or government is a major problem, says Jaspreet Bindra, founder of a consultancy that builds AI literacy in organisations. "Despite what has been heard about DeepSeek developing a model with $5.6m, there was much more capital behind it." Lack of high-quality India-specific datasets required for training AI models in regional languages such as Hindi, Marathi or Tamil is another problem, especially given India's language diversity. But for all its issues, India punches far above its weight on talent – with 15% of the world's AI workers coming from the country. The issue though, as Stanford's AI talent migration research shows, is that more and more of them are choosing to leave the country. This is partly because "foundational AI innovations typically come from deep R&D in universities and corporate research labs", Mr Bindra says. And India lacks a supporting research environment, with few deep-tech breakthroughs emerging from its academic and corporate sectors. The enormous success of India's payments revolution was due to strong government-industry-academia collaboration - a similar model, he says, needs to be replicated for the AI push. The Unified Payment Interface (UPI), a digital payment system developed by a government organisation, has revolutionised digital payments in India, allowing millions to transact at the click of a button or by scanning a QR code. DeepSeek: The Chinese AI app that has the world talking AI chatbots unable to accurately summarise news, BBC finds Indian media pile into lawsuit against OpenAI chatbot ChatGPT Bengaluru's $200bn outsourcing industry, home to millions of coders, should have ideally been at the forefront of India's AI ambitions. But the IT companies have never really shifted their focus from cheap service-based work to developing foundational consumer AI technologies. "It's a huge gap which they left to the startups to fill," says Mr Roy. He's unsure though whether startups and government missions can do this heavy lifting quickly enough, adding that the 10-month timeline set by the minster was a knee-jerk reaction to DeepSeek's sudden emergence. "I don't think India will be able to produce anything like DeepSeek at least for the next few years," he adds. It is a view many others share. India can, however, continue to build and tweak applications upon existing open source platforms like DeepSeek "to leapfrog our own AI progress", Bhavish Agarwal, founder of one of India's earliest AI startups Krutrim, recently wrote on X. In the longer run though, developing a foundational model will be critical to have strategic autonomy in the sector and reduce import dependencies and threats of sanctions, say experts. India will also need to increase its computational power or hardware infrastructure to run such models, which means manufacturing semiconductors - something that's not taken off yet. Much of this will need to fall in place before the gap with the US and China is narrowed meaningfully.
BBC News
18-02-2025
- Business
- BBC News
India AI: As DeepSeek and ChatGPT surge, is Delhi falling behind?
Two years after ChatGPT took the world by storm, China's DeepSeek has sent ripples through the tech industry by collapsing the cost for developing generative artificial intelligence as the global race for AI supremacy heats up, India appears to have fallen behind, especially in creating its own foundational language model that's used to power things like government claims a homegrown equivalent to DeepSeek isn't far away. It is supplying startups, universities and researchers with thousands of high-end chips needed to develop it in under 10 months.A flurry of global AI leaders have also been talking up India's capabilities recently. After being initially dismissive, OpenAI CEO Sam Altman this month said India should be playing a leading role in the AI revolution. The country is now OpenAI's second largest market by users. Others like Microsoft have put serious money on the table – committing $3bn (£2.4bn) for cloud and AI infrastructure. Nvidia's Jensen Huang also spoke of India's "unmatched" technical talent as a key to unlocking its future 200 startups working on generative AI, there's enough entrepreneurial activity under way despite having key ingredients for success in place, India risks lagging behind without basic structural fixes to education, research and state policy, experts and the US already have a "four to five year head-start", having invested heavily in research and academia and developed AI for military applications, law enforcement and now large language models, technology analyst Prasanto Roy told the in the top five globally on Stanford's AI Vibrancy Index – which ranks countries on metrics such as patents, funding, policy and research – India is still far behind the two superpowers in many key and the US were granted 60% and 20% of the world's total AI patents between 2010 and 2022 respectively. India got less than half a AI startups also received a fraction of the private investment that US and Chinese companies got in state-funded AI mission, meanwhile, is worth a trifling $1bn compared with the staggering $500bn the US has earmarked for Stargate - a plan to build massive AI infrastructure in the US - or China's reported $137bn initiative to become an AI hub by 2030. While DeepSeek's success has demonstrated that AI models can be built on older, less expensive chips - something India can take solace from - lack of "patient" or long-term capital from either industry or government is a major problem, says Jaspreet Bindra, founder of a consultancy that builds AI literacy in organisations."Despite what has been heard about DeepSeek developing a model with $5.6m, there was much more capital behind it."Lack of high-quality India-specific datasets required for training AI models in regional languages such as Hindi, Marathi or Tamil is another problem, especially given India's language for all its issues, India punches far above its weight on talent – with 15% of the world's AI workers coming from the issue though, as Stanford's AI talent migration research shows, is that more and more of them are choosing to leave the is partly because "foundational AI innovations typically come from deep R&D in universities and corporate research labs", Mr Bindra says. And India lacks a supporting research environment, with few deep-tech breakthroughs emerging from its academic and corporate enormous success of India's payments revolution was due to strong government-industry-academia collaboration - a similar model, he says, needs to be replicated for the AI Unified Payment Interface (UPI), a digital payment system developed by a government organisation, has revolutionised digital payments in India, allowing millions to transact at the click of a button or by scanning a QR code. Bengaluru's $200bn outsourcing industry, home to millions of coders, should have ideally been at the forefront of India's AI ambitions. But the IT companies have never really shifted their focus from cheap service-based work to developing foundational consumer AI technologies."It's a huge gap which they left to the startups to fill," says Mr unsure though whether startups and government missions can do this heavy lifting quickly enough, adding that the 10-month timeline set by the minster was a knee-jerk reaction to DeepSeek's sudden emergence."I don't think India will be able to produce anything like DeepSeek at least for the next few years," he adds. It is a view many others can, however, continue to build and tweak applications upon existing open source platforms like DeepSeek "to leapfrog our own AI progress", Bhavish Agarwal, founder of one of India's earliest AI startups Krutrim, recently wrote on the longer run though, developing a foundational model will be critical to have strategic autonomy in the sector and reduce import dependencies and threats of sanctions, say will also need to increase its computational power or hardware infrastructure to run such models, which means manufacturing semiconductors - something that's not taken off of this will need to fall in place before the gap with the US and China is narrowed meaningfully.
