This era is marked by significant changes and advancements in both the economy and technology. Many companies, as well as households, are now part of a modern world.
It can be said that the 21st century is vastly different from previous centuries, as the extent of technological change has enabled even poorer countries to utilize technology to keep pace with global developments.
We cannot deny that these technologies help us in our daily lives, in our work, and at home. For instance, robotic devices that perform household tasks, such as robotic vacuum cleaners and dishwashers, exemplify this change. We can see these advancements in Japan, where technology, rather than humans, operates factories.
AI is increasingly being integrated into various industries, leading to both job displacement and the creation of new roles. While some routine and repetitive tasks may be automated, AI can also enhance productivity and lead to demand for skills in AI management, data analysis, and creative problem-solving. The overall impact on employment varies by sector, and adapting to these changes will require workforce reskilling and a focus on human-centric roles that AI cannot easily replicate.
Many countries are making significant events in AI development, each contributing uniquely to globalization. The United States leads with major tech companies driving advancements in natural language processing and robotics, while China invests heavily in AI for surveillance, finance, and healthcare, with the help of government initiatives. Canada is recognized for its strong academic research and thriving startup ecosystem focused on deep learning and ethical AI.
Meanwhile, the United Kingdom emphasizes AI in healthcare and finance, fostering discussions on ethical considerations. Germany is integrating AI into manufacturing, and France prioritizes ethical frameworks alongside technological innovation. Singapore aims to be a global AI hub, and South Korea focuses on telecommunications and consumer electronics. Together, these nations are shaping the future of AI through innovation, research, and policy development.
According to data released by Japan SEO.AI in 2021, the use of technology for work increased by almost 80%, while the percentage of human labor decreased from 20% to 15% by the end of the year.
Despite this, Japan remains a wealthy country due to the discipline of its people. It is uncertain whether the same will happen in the Philippines with the arrival of these technologies. A study conducted by the US Technological Advancement Joint Statement (USTA JS) predicts that approximately 3,900 people will lose their jobs within just one year due to the replacement by modern technologies.
The Philippine News Agency (PNA) expresses concern that the unemployment rate in our country may further decline if companies here begin adopting more advanced technologies in place of human workers.
In my opinion, it is not unlikely that technologies will replace workers because company leaders in the Philippines know they will save more in the coming years if they do not have to pay salaries. Let’s be practical, CEOs will choose AIs not just for their company but also to help our country’s economy.
I believe that these leaders will do everything to elevate their companies, but the result for the poor Filipinos will be increased hardship due to the lack of stable employment, as human labor will be displaced by machines.
Almost 14 million Filipinos are expected to lose their jobs due to the rise of A.I. over the next five years, which is a reduction of about 33% compared to this year. This information was released by PNA, and discussions about the significant changes and impacts this will have on our country continue.
About the Author
Cahrl Jayson Reyes is a 7-year feature writer who has passion to inspire co-journalists. Currently a feature writer and a publisher of a school publication. [Among Charl’s accolades as of writing is him becoming a Regional Schools Press Conference (RSPC) Qualifier in ScieTech Writing, and Division Schools Press Conference (DSPC) qualifier in Feature Writing.]
