Pakistan’s AI dependence

#Pakistans #dependence

Lahore: Pakistan relies on global tech companies like Google, Microsoft, Open, Amazon, and other Chinese firms for artificial intelligence -based services. Without the development of local AI, Pakistan will have to buy or rent AI’s capabilities, a move that increases its long -term dependence on a foreign AI solution.

AI can increase productivity and profit for businesses that adopt them, especially in low -skill jobs. Countries and companies of AI’s lack of capabilities can be lagging behind in competition, which deepens global inequality.

AI -powered surveillance, social scoring and forecast analysis can be used to control the population, suppress disagreement or manipulate behavior, to restrict the sovereignty of individuals and weak countries. If AI systems are used in governance, finance and business, people who control them will make policies, investment and even legal decisions. This can lead to a scenario where the deprived people are less called in their affairs.

Pakistan faces the threat of leaving AI technology at the mercy of those who control, causing AI-driving global domination. Local industries can struggle to compete with more than AI in China, India and the West. Foreign -tech firms can dominate Pakistan’s digital economy, which left very little space for local innovation. In Pakistan, there is a lack of infrastructure and expertise to effectively connect AI. Advanced AI -capable countries or corporations can affect Pakistan’s policies by offering AI solutions in sectors such as policing, finance or education at the expense of autonomy. Pakistan will be forced to outsource AI’s decision -making, which will reduce national control over important policies. Predictable AI policing and monitoring can be misused if not locally controlled.

AI will replace jobs with less expertise in sectors such as textile, retail, banking and even customer service. In China and India, AI -powered precision farming can make Pakistani agriculture non -controversial. Pakistan has to re -train its manpower to focus on AI -powered jobs, which requires widespread investment in education, which can struggle to tolerate the country. A growing digital distribution, where only elite institutions are ready for AI, which left the majority of Pakistan’s youth without the possibility of employment in the future.

AI-Driving Financial & Trade Algorithm controls global markets, pricing and supply chain. Pakistan’s financial institutions do not have AI-powered risk diagnosis tools, which they suffer from currency fluctuations and speculation attacks through the global AI-driving hedge funds. Pakistan can be harmed when predicted and manipulated results while dealing with AI -powered economies.

Local AI infrastructure lack (such as supercomputer, AI Research Labs) means that Pakistan cannot develop a desi AI model according to its needs. The potential result will be AI-powered economic colonies, where foreign firms control AI’s important requests in health care, banking, education and governance.

In order to avoid leaving the AI ​​controlling powers, Pakistan should prepare a roadmap to adopt AI for key industries (textile, agriculture and banking). To reduce the dependence on foreign AI services, encourage Pakistan Private AI Research Partnership to create a Pakistan-Corridose AI solution and reduce AI startup to reduce the dependence on foreign AI services Provide It should introduce AI, robotics, and data science courses in universities and professional training institutions. Pakistan will have to focus on the education of STEM (science, technology, engineering, and mathematics) to prepare AI jobs for AI jobs.

There is a dire need to invest in local AI infrastructure and encourage AI startups. There should also be partnerships with friendly countries like China, Turkey and Malaysia to develop AI’s capabilities. And develop an AI -powered governance model that enhances performance by ensuring national data safety. To avoid the abuse of AI, Pakistan will have to develop its AI ethics and governance framework.

China has invested more than $ 150 billion in AI research, supercompoting and semiconductor manufacturing. AI embedded in smart cities, surveillance systems, digital payments and even judicial processes. AI-driving automation increases production capacity in textile, automotive, and electronics. AI -powered banking and digital finance (V -Chat Pay, Elipi) dominates China’s economy.

India has no regular AI strategy like China, but the government launched the National AI strategy (2018) to prepare AI applications in health care, education and agriculture. India attracts AI’s great investment from Global Tech Giants (Google, Microsoft, Amazon and Meta). India’s startup ecosystem is AI-driving, with more than 4,500 AI startups. India dominates the AI-powered outsourcing industry. AI -powered drones, sensors and weather forecast tools are improving its form productivity. India has AI -based chat boats for government services, which can reduce bureaucracy.

Bangladesh lacks AI infrastructure like China and India, but it focuses on niche AI ​​applications. The government launched ‘Digital Bangladesh Vision 2021’, which integrated AI into finance, governance and textiles. The use of AI has increased the productivity of the textile sector and reduced the waste. AI -powered sewing robots, quality control and supply chain analytics have improved performance. AI -based lending models help small businesses and farmers access to credit and AI -powered ED tech platforms that provide vocational training.