China is moving ahead with an ambitious aircraft carrier programme, adding increasingly advanced warships to a navy that is rapidly expanding its reach. But as the fleet grows, another question is becoming harder to ignore: does China have enough trained personnel to operate all these carriers effectively? The People's Liberation Army Navy currently has three aircraft carriers, with the Fujian representing a major technological leap over its predecessors. Unlike the Liaoning and Shandong, the Fujian uses electromagnetic catapults, allowing it to launch a broader range of aircraft and operate a more capable air wing. That technological progress, however, also increases the demand for skilled manpower.
An aircraft carrier is effectively a floating military base requiring thousands of sailors, engineers, aircraft technicians, weapons specialists, aviation crews and support personnel. Carrier aviation is particularly demanding because pilots and deck crews need specialised training that can take years to develop. China has been working to build that talent pipeline. The navy has expanded recruitment through schools, universities and dedicated aviation programmes, while also seeking science and engineering graduates for pilot training. The effort is intended to ensure that China's growing carrier fleet is matched by a growing pool of qualified personnel.
The challenge is that numbers alone do not create experience. Operating fighter jets from an aircraft carrier requires skills that are difficult to develop on land. Pilots must learn to land on a moving deck, often under demanding weather and operational conditions. At the same time, deck crews must coordinate aircraft launches, recoveries, refuelling and weapons handling within a highly restricted space.
China has accumulated more than a decade of carrier experience since the Liaoning entered service, but its carrier aviation community remains much younger than those of countries such as the United States. The problem could become more significant if China continues expanding its fleet. More carriers would mean more pilots, instructors, engineers and maintenance crews, along with additional personnel for the destroyers, frigates and supply ships that operate alongside carrier groups.
China's demographic situation could add another layer of difficulty. The country is facing a declining working-age population and increasing competition for technically skilled young people from its civilian technology and manufacturing sectors. The military therefore has to compete for some of the same engineering and scientific talent needed by China's broader economy. Technology may ease part of the pressure. Automation, unmanned aircraft and increasingly sophisticated ship systems could reduce certain manpower requirements. But advanced technology also demands highly trained specialists capable of maintaining and operating complex equipment.
The carrier programme is consequently becoming more than a shipbuilding exercise. The country has demonstrated that it can construct increasingly sophisticated warships at a rapid pace. The bigger test will be whether it can build the human infrastructure needed to keep those ships fully operational. The success of China's carrier ambitions may ultimately depend not simply on how many carriers it launches, but on how many it can crew, train and deploy at the same time. As Beijing expands its naval presence, finding enough experienced people could prove just as important as building the ships themselves.
Disclaimer: This image is taken from NDTV.
Artificial intelligence is increasingly being seen as a powerful tool in India’s battle against air pollution, but technology alone is unlikely to deliver cleaner air. AI can help authorities predict pollution spikes, identify hotspots and improve decision-making, yet its effectiveness will ultimately depend on reliable data, strong enforcement and action against the sources of emissions. Air pollution in India is influenced by a complicated combination of traffic, industrial activity, construction dust, waste burning, agricultural emissions and changing weather conditions. Because these factors interact constantly, predicting air quality is not always straightforward. AI and machine-learning systems can analyse large amounts of information from monitoring stations, weather models and satellites to identify patterns and provide earlier warnings.
In Delhi, authorities are working with IIT Kanpur on an AI-based decision-support system that is designed to forecast air pollution 48 to 72 hours in advance and identify areas where pollution could become particularly severe. The aim is to give government agencies enough time to take targeted action rather than waiting until air quality has already deteriorated. Similar efforts are also emerging elsewhere. Maharashtra has been developing an AI-powered air-quality forecasting system for Mumbai and surrounding areas, with the broader objective of anticipating deteriorating conditions and helping authorities respond more quickly.
The technology could be particularly useful during periods when weather conditions trap pollutants close to the ground. An AI model could combine information about wind speed, temperature, humidity, traffic and emissions to estimate where pollution is likely to increase. If a specific area is identified as a potential hotspot, officials could focus inspections and pollution-control measures there. Researchers are also exploring the use of satellite observations alongside ground-based monitoring. Recent studies have shown that machine-learning models can use these different sources of information to improve forecasts of particulate pollution in several Indian cities. Such systems could become especially valuable in places where conventional monitoring stations are limited.
The growing interest in AI also highlights a basic problem: sophisticated technology is only as good as the information it receives. If monitoring stations are poorly distributed, sensors are not properly maintained or important sources of pollution are missing from the data, an AI system may struggle to provide an accurate picture. This is why expanding and maintaining India's air-quality monitoring network remains critical. More sensors and better-quality measurements can give AI systems a stronger foundation, allowing them to distinguish between local pollution and pollution transported from other parts of a region.
That distinction is particularly important in northern India, where air pollution often crosses administrative boundaries. Delhi cannot treat its air-quality problem entirely as a Delhi problem. Pollution can move across neighbouring districts and states, making regional coordination essential. AI can help reveal these connections, but it cannot enforce environmental regulations. If an algorithm identifies a construction site as a major dust source, someone still has to inspect the site and ensure that pollution-control measures are followed. If it predicts a dangerous pollution episode, authorities still need to decide whether traffic, construction or industrial activity should be restricted.
This is where the difference between forecasting pollution and reducing pollution becomes important. A highly accurate prediction does not automatically translate into cleaner air. There is also a risk that the excitement around artificial intelligence could distract from measures that are less glamorous but far more fundamental. Cleaner public transport, better waste management, dust suppression, industrial emission controls, cleaner fuels and stronger enforcement remain central to reducing pollution.
The real test for AI-based air-quality systems should therefore be measured in outcomes. Authorities need to know whether an AI warning was accurate, what action followed the warning and whether that action actually reduced pollution. Without such a feedback system, AI could become another sophisticated dashboard without delivering meaningful environmental improvements.
Still, the potential is considerable. If AI can provide reliable forecasts several days in advance, governments may be able to move from a largely reactive approach to a more preventive one. Instead of responding only after pollution reaches hazardous levels, agencies could prepare for high-risk conditions and concentrate resources where they are most needed. For India, that could make pollution-control efforts more efficient and targeted. But the technology should be treated as an additional tool rather than a magic solution. The bigger challenge remains the same: reducing the amount of pollution entering the atmosphere in the first place.
AI can help India understand its air better, predict what is coming and identify where intervention may have the greatest impact. But cleaner air will ultimately depend on whether governments, businesses and citizens act on that information. Artificial intelligence may become an important part of India's clean-air strategy, but the smartest algorithm in the world cannot compensate for weak monitoring, poor enforcement or failure to tackle pollution at its source. The technology can provide the intelligence; the real work still has to happen on the ground.
Disclaimer: This image is taken from Hindustan Times.
The United States has presented Iran with a diplomatic proposal that would offer relief from maritime blockades and economic sanctions in return for Tehran restoring freedom of navigation through the strategically important Strait of Hormuz and ending attacks by Iran-aligned groups across the region, according to Al Arabiya English.
The proposal was reportedly conveyed to Iranian officials by Pakistan Army Chief Asim Munir during a high-level visit to Tehran. His trip followed a phone conversation with US President Donald Trump last week, during which the two discussed the escalating Iran crisis before Munir travelled to the Iranian capital. During the visit, Munir held what were described as “clear and decisive” talks with Mohsen Rezaei, secretary of Iran’s Supreme National Security Council and a representative of Supreme Leader Ayatollah Ali Khamenei.
Munir called for an immediate halt to operations by Iranian-backed groups operating across the region. He also urged Tehran to return to commitments outlined in a 14-point Memorandum of Understanding (MoU) reportedly agreed with Washington in June. The US offer reportedly links the removal of maritime restrictions and economic sanctions to two key conditions: Iran guaranteeing safe passage through the Strait of Hormuz and using its influence to stop attacks by allied militant groups.
Iran, however, pushed back against Washington’s demands and called for concrete steps from the United States first. Rezaei stressed that Tehran considers the security of the Strait of Hormuz a matter under its control and argued that Washington must change its approach and take practical measures to honour the existing understanding.
Iranian Parliament Speaker Mohammad Bagher Ghalibaf also accused the United States of repeatedly violating previous commitments. He said what Tehran views as Washington’s failure to honour its obligations has deepened mistrust and made regional stability more difficult. President Masoud Pezeshkian similarly cautioned that American pressure and what he described as “bullying” could further complicate diplomatic efforts. At the same time, he said Iran remained open to peaceful economic, political and security cooperation with neighbouring Muslim countries.
The diplomatic initiative comes as the Trump administration continues to weigh further economic pressure on Tehran. US Treasury Secretary Scott Bessent has said Washington is pursuing “quiet diplomacy” with countries that continue to maintain economic relations with Iran, while preparing additional sanctions targeting areas such as digital assets, technology and shipping. Although Washington is considering deadlines for third countries to reduce or end economic ties with Iran, the administration has not yet imposed major new penalties, apparently leaving room for ongoing diplomatic negotiations.
Disclaimer: This image is taken from ISPR.
Trade agreements are increasingly being seen as a crucial part of India’s broader Saptadhara vision, with the government seeking to connect domestic growth with expanding opportunities in global markets. The seven-stream vision, outlined by Prime Minister Narendra Modi in his Independence Day address, focuses on areas including manufacturing, agriculture, technology and innovation, infrastructure, defence, the green and blue economy, and India’s cultural and soft-power influence. The underlying objective is to accelerate economic growth while strengthening India’s position in the global economy.
Trade policy has an important role to play in this strategy because access to international markets can provide Indian companies with new customers, encourage investment and support the expansion of domestic production. Recent trade agreements with major economies have therefore gained significance as India seeks to increase exports and become a more important part of global supply chains.
The government has increasingly encouraged Indian businesses, particularly micro, small and medium enterprises, to use trade agreements to expand beyond the domestic market. Lower tariffs and improved market access can create opportunities for exporters, but businesses will still need to meet international standards on quality, pricing, packaging and reliability.
The manufacturing component of the Saptadhara vision is closely linked to this objective. India wants to move towards larger and more integrated manufacturing ecosystems capable of supplying both domestic consumers and overseas markets. A stronger export base could also encourage companies to invest in new factories, technology and skilled workers.
Agriculture and food processing offer another significant opportunity. Indian products such as spices, millets, processed foods, fruits and other agricultural goods have growing potential in international markets. However, expanding agricultural exports will require better cold-chain infrastructure, food processing facilities, quality certification and efficient logistics.
For MSMEs, trade agreements could be particularly important. Smaller businesses often have products that can find buyers overseas but may lack the resources or knowledge needed to enter foreign markets. Easier export procedures, access to finance and better information about international regulations could help more such businesses benefit from newly opened markets.
Trade deals also need to be supported by improvements within India. Efficient ports, roads, railways, warehouses and digital systems are essential if exporters are to deliver products quickly and competitively. In this sense, infrastructure development under the Saptadhara framework can directly support India’s trade ambitions. The same applies to technology. Automation, artificial intelligence, digital commerce and advanced manufacturing can help Indian companies improve productivity and compete with established exporters from other countries. Technology can also make it easier for smaller firms to identify overseas customers and manage international transactions.
The bigger challenge, however, will be converting trade agreements into actual increases in exports and investment. Signing an agreement may open a foreign market, but Indian businesses must be prepared to compete once that market becomes accessible. This means the success of the Saptadhara vision will depend not only on the number of trade agreements India signs, but also on the ability of Indian companies to take advantage of them. Competitive products, dependable supply chains, skilled workers and consistent quality will be essential.
If these elements come together, trade could become one of the important links connecting India’s manufacturing, agriculture, technology and infrastructure ambitions. For a country targeting the goal of Viksit Bharat by 2047, expanding India’s role in global commerce could prove central to turning the Saptadhara vision into measurable economic gains.
Disclaimer: This image is taken from Hindustan Times.
Defence Minister Rajnath Singh has approved the transfer of technologies developed by the Defence Research and Development Organisation (DRDO) for all conventional missile systems to Indian defence companies for domestic production. The Ministry of Defence described the decision as a significant step towards expanding the role of Indian industry in the country’s defence ecosystem. According to the ministry, the move will help bridge the gap between missile development and large-scale industrial manufacturing. It also reflects DRDO’s efforts to utilise the expertise and capabilities of Indian companies in producing advanced defence technologies. The initiative is expected to boost indigenous manufacturing, further strengthen India’s defence industrial base and open up new opportunities for MSMEs and other domestic technology partners to become part of the missile systems supply chain.
Disclaimer: This image is taken from ANI.
More than two years after Australian aid worker Zomi Frankcom was killed by Israeli forces while travelling with a World Central Kitchen humanitarian convoy, Israel has cleared the soldiers involved of criminal responsibility. The decision has drawn strong criticism, including from Frankcom’s family and Australian Prime Minister Anthony Albanese, who described it as an “outrage.” With increasing demands for accountability, an apology and possible compensation, political editor Tom McIlroy discusses with Reged Ahmad what the decision means for Australia-Israel relations and whether ties between the two countries have reached a new low.
Disclaimer: This podcast is taken from The Guardian.
Prime Minister Lawrence Wong has announced a broad set of initiatives covering family support, housing, technology and Singapore’s national resilience. Hairianto Diman and Justine Moss speak to SMU School of Law Associate Professor Eugene Tan about the major measures, their significance for Singaporeans and what they reveal about the Government’s priorities for the country’s next stage of growth.
Disclaimer: This podcast is taken from CNA.
Singapore’s prison population is ageing, with one in six inmates now aged 60 or above, compared with one in 10 in 2019. Daniel Martin spoke with Quentin Lee, Assistant Director and Lead Psychologist at the Singapore Prison Service’s Psychological and Correctional Rehabilitation Division, who is part of a National Committee sub-group focused on preventing offending and re-offending among older adults. They explored the factors driving the rise in elderly inmates and examined the support needed to help older offenders and ex-offenders break the cycle of crime and reintegration into society.
Disclaimer: This podcast is taken from CNA.
A new survey by TOUCH Community Services found that although six in 10 parents reported that their children had faced mental health challenges, only about one in six believed these issues were moderately or directly connected to their online experiences. Hairianto Diman and Justine Modd examine what parents may be overlooking and explore ways to better support children as they navigate the digital world. They also speak with Dr Chew Han Ei, an online safety researcher at the Institute of Policy Studies, about the issue.
Disclaimer: This podcast is taken from CNA.
