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First, from the perspective of the impact of aging on the economy, the reduction in the labor force is a significant problem. As the proportion of the elderly population increases, the supply of young labor is relatively reduced, which poses a challenge to the production and service capabilities of many industries. The emergence of artificial intelligence is expected to make up for the shortage of labor. In this context, programmers, as an important force in promoting the development of artificial intelligence technology, have also changed their tasks and opportunities.

For programmers, finding the right tasks is no longer limited to traditional software development and system maintenance. As the application of artificial intelligence technology continues to expand in various fields, such as healthcare, financial services, and manufacturing, programmers have more opportunities to participate in artificial intelligence-related projects. For example, developing intelligent medical diagnosis systems, optimizing financial risk assessment models, or designing intelligent production process control programs for the manufacturing industry. These tasks require programmers not only to have solid programming skills, but also to have an in-depth understanding of knowledge in specific fields so that they can better combine artificial intelligence technology with actual application scenarios.

At the same time, as an important economic decision-maker in the United States, Yellen's formulation and adjustment of economic policies will also have an indirect impact on programmers' search for tasks. The United States' economic policies, such as tax policies, fiscal expenditure policies, and trade policies, may affect companies' investment decisions and business layout, thereby affecting the demand for programmers and the types of tasks. For example, when the government increases its support for scientific and technological research and development, companies may increase their investment in areas such as artificial intelligence, providing programmers with more innovative and challenging tasks.

In addition, as a key role in the financial sector, bankers’ allocation of funds and risk assessment will also affect the development of technology companies. Adequate financial support will help technology companies carry out more R&D projects, thereby creating more AI-related tasks for programmers. On the contrary, if funds are tight, companies may cut R&D budgets, resulting in programmers facing fewer tasks or a single type of task.

Economists' analysis and predictions of economic trends can also provide a reference for programmers when looking for tasks. Understanding the macroeconomic trends and industry development dynamics can help programmers prepare in advance and improve their skills to adapt to the market demand for specific types of tasks. For example, if economists predict that a certain industry will usher in rapid growth, programmers can learn relevant knowledge and skills in advance to prepare for entering the industry and taking on related tasks.

In short, Huang Yiping, dean of Peking University's National School of Development, said that artificial intelligence can alleviate the impact of an aging economy, which provides us with a new perspective on the current situation and future development of programmers' job search. In this complex and changing economic and technological environment, programmers need to constantly learn and adapt in order to better seize opportunities and find valuable and challenging tasks.