Impact of AI on the Global Tech Talent Market [podcast]
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This video podcast – The impact of AI on the global technological talent market – discusses the impact transformer of artificial intelligence (AI) on the world market for technological talents, stressing how AI disrupts old commercial models and creates a new economic landscape.
Pré-Ai market dynamics: The podcaster first describes the successful commercial model which existed before the rise of the AI. This model was based on a world talent pipeline where companies in developed countries, such as the United States and Western Europe, have recruited and hired technology professionals in developing countries, including Africa and India. Companies like Andela and Infosys have facilitated this process. The system was mutually beneficial: developed countries had access to skilled labor at a lower cost, while professionals from developing countries have gained higher wages with significant purchasing power.
Disturbance by AI: The arrival of advanced tools, called “Renaissance”, has fundamentally changed this dynamic. The main argument is that AI has become an “entry -level engineer”, capable of carrying out many coding and basic development tasks that have been previously outsourced to junior talents. This led to a process of “disintermediation”, where the need for human intermediaries and entry -level workers at a distance has been considerably reduced.
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Impact on businesses and employment: The podcast provides specific examples of companies whose commercial models have been broken by AI. Companies love Andela And Infosys I have seen their main value proposal – the supply of entry -level – sized remote talented talents. The speaker also cites the struggles and bankruptcy of education companies as Check And 2Uwhose services could be easily reproduced by AI, which provides direct answers to students’ questions.
This disturbance has led to a “massive dislocation” on the labor market, not only affecting workers at a distance in developing countries, but also new computer graduates in countries like the United States, which find it difficult to guarantee positions of entry level. The speaker notes that businesses like Microsoft and Google dismiss thousands of people, AI taking charge of roles formerly filled with humans.
Future conclusion and perspectives: The presentation concludes that the AI rewrites “the order system order”. In this new era, technical skills alone are not enough. The objective for companies and individuals must move on to the single value that AI cannot. The speaker warns that this is only the beginning, predicting that in the years to come, even experienced engineers will face a disturbance as AI becomes more and more sophisticated, reaching a level of “experience” which competes. The message is a call for adaptation and a fundamental reassessment of what makes a person or a company relevant in an AI -based world.

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