AI's double-edged sword 

Over the years, Artificial intelligence has been flourishing and creating new opportunities in various sectors, but it is alsocreating turmoil in the economy. Artificial intelligence has been booming and opening up new industries, but it is also causing economic instability. Artificial intelligence (AI) is reshaping the global economy at a breathtaking pace, and its consequences are both promising and unsettling. On the one hand, AI is fueling new waves of productivity and innovation; on the other, it is raising profound concerns about jobs, inequality, environmental sustainability, and systemic stability. 

Investment in AI infrastructure, ranging from data centers to advanced computing systems, has been adding measurable value to economies. For example, according to Kiplinger and Cerity Partners in the United States, capital spending on AI contributed approximately 0.3% to GDP in a single quarter, with economists projecting that AI spending could add as much as 1.5% annually to U.S. GDP and around 1% globally.McKinsey estimates that generative AI alone may unlock between $6 trillion and $8 trillion of value annually, transforming industries ranging from healthcare to manufacturing. Still, some scholars offer a more cautious view: MIT economist Daron Acemoglu argues that perhaps only 5% of U.S. tasks are profitably automatable, resulting in a 1% GDP gain spread over a decade. 

“AI is fueling new waves of productivity and innovation; on the other, it is raising profound concerns about jobs, inequality, environmental sustainability, and systemic stability”

Behind these numbers lies a more complex story about jobs and inequality. Automation and AI adoption are disrupting labor markets unevenly.Stanford study reveals 'Generative AI' steals the most jobs in exposed industries like coding, usually from young professionals. Employment among young workers aged 22 to 25 in AI-exposed industries has fallen by 6% since 2022, while older workers actually experienced gains of up to 9%. In Australia, 7 per cent of the workforce will be rendered effectively unemployable by the rise of AI in the coming years. This is a small fraction of the 21.8 per cent to 33.2 per cent of people forecast to experience unemployment in some capacity under modelling performed by the Social Policy Group (SPG).

First, governments and private firms need to prioritize reskilling and lifelong learning. Displaced workers, particularly young people and entry-level professionals, must have access to vocational training and on-the-job upskilling opportunities. Education systems should be restructured to emphasize AI literacy, creativity, and problem-solving rather than rote knowledge.According to the Economic Times, policymakers should reinforce safety nets through expanded unemployment benefits and wage insurance to ease transitions. Beyond skills, societies must also recognize the enduring value of "human-centered" roles such as caregiving, education, and the arts, which cannot be fully replicated by machines.

Second, economic fairness requires stronger tax and redistribution frameworks. AI-driven models, such as reinforcement-learning approaches to tax design, show promise in balancing productivity with equity. According to The Times, governments must regulate monopolistic behavior and ensure competitive markets through antitrust enforcement. Transparency in algorithms should also be mandated to prevent bias in critical areas like finance, healthcare, and justice.

Third, environmental sustainability must be woven into AI policy. Regulators should require environmental impact assessments for new AI deployments, while firms should invest in green data centers and energy-efficient algorithms.

Lastly, global collaboration is essential. Advanced economies must assist developing nations with infrastructure, skills development, and technology transfers to avoid exacerbating inequality. International institutions such as the IMF, World Bank, and central banks should align AI policy with broader financial and social stability goals.

In conclusion, societies must begin to adopt new frameworks of economic thought. The emerging concept of "Sustain my" emphasizes balancing prosperity, people, and the planet. In this vision, AI augments rather than replaces human potential, supporting equitable growth while respecting environmental limits. Such frameworks could help transform AI from a disruptive threat into a collaborative tool for human progress. Artificial intelligence carries immense potential to drive global economic growth, innovation, and efficiency. Yet, it also risks deepening inequality, accelerating job loss, and straining environmental and financial systems if left unchecked. The future depends on the choices societies make today: whether to treat AI as a narrow tool for profit maximization, or as a shared asset to be governed responsibly. With bold policy, thoughtful regulation, and inclusive planning, AI can be guided toward a path that benefits not only economies but also the people who sustain them.