2024-09-06 22:37:36
In September 2023, the World Economic Forum published an article in which he calls Artificial Intelligence the “greatest innovation of the decade” and talks about the revolution it will cause in the job market, especially in the technology sector. The growing capacity of these tools to generate complex solutions, with less human intervention, is changing the dynamics of algorithm development and transforming the profile of professionals working in this sector.
According to Keylla Saes, coordinator of the MBA em Data Science & AI na FIAPthe scenario has changed considerably. “Before, we trained professionals to develop specific machine learning components. Many specialists were needed to create specific artificial intelligence models,” he explains. With the arrival of Generative AI, many of these problems began to be solved more automatically, optimizing processes that previously required more hours of work and large teams.
Despite this transformation, Saes emphasizes that the need for specialists has not been eliminated. “We still need people with in-depth knowledge for specific issues. What has changed is that manual labor will be reduced, while analytical and architectural work will be more in demand.” This means that, although the number of professionals needed to create specific solutions has decreased, the demand for experts capable of understanding and architecting more complex and comprehensive systems is growing.
The FIAP coordinator also highlights the changes in the profile for working with AI, although she states that this transition does not present major challenges for those who already work in the area. Previously, those who worked in data science and traditional artificial intelligence, with natural language, had to deal directly with algorithms and complex systems, which required in-depth knowledge of mathematics, statistics and programming. Today, with Generative AI, many of these professionals have started using APIs (Application Programming Interface) that facilitate the creation of solutions, reducing the need to create algorithms from scratch.
The training of new specialists is also keeping up with this evolution. The MBA in Data Science & AI seeks to prepare students for this new market reality. “It is a very technical course, aimed at professionals who want to develop and deeply understand learning algorithms, such as GPT, and design innovative solutions,” highlights Keylla. As a prerequisite, this MBA requires previous experience in technology or exact sciences, as well as knowledge in data analysis and programming, such as Python. “The focus is on training specialists who can work on developing new generations of AI, and not just use the solutions already available on the market,” reinforces the coordinator.
While generative AI has reduced the need for manual labor, it has opened doors to new ways of working that require high-level technical skills. Professionals in the field of artificial intelligence and technology may be in a good position to adapt to these changes, even in a rapidly evolving environment.
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What are some of the first task that generative AI will replace
Table of Contents
The Impact of Generative AI on the Job Market in 2024 and Beyond
The advent of Generative AI has revolutionized the job market, particularly in the technology sector. According to the World Economic Forum, Artificial Intelligence is the “greatest innovation of the decade” and is set to cause a significant transformation in the job market [[1]]. With the growing capacity of these tools to generate complex solutions with less human intervention, the dynamics of algorithm development are changing, and the profile of professionals working in this sector is being transformed.
Automation and the Need for Reskilling
A Goldman Sachs analysis suggests that Generative AI has the potential to automate up to 300 million full-time jobs in the U.S. and Europe [[2]]. This automation will undoubtedly lead to job displacement, but it will also create new opportunities for professionals who are able to reskill and adapt to the changing landscape. Experts believe that people will need to reskill in order to keep up with the changing demands of the job market, and that skills such as analytical and architectural work will be in high demand [[2]].
The Changing Profile of AI Professionals
The arrival of Generative AI has changed the profile of professionals working in the field. Previously, those who worked in data science and traditional artificial intelligence had to deal directly with algorithms and complex systems, which required in-depth knowledge of mathematics, statistics, and programming. Today, with Generative AI, many of these professionals have started using APIs (Application Programming Interface) that facilitate the creation of solutions, reducing the need to create algorithms from scratch.
The Need for Specialists and Experts
Despite the automation of certain tasks, the need for specialists and experts has not been eliminated. According to Keylla Saes, coordinator of the MBA em Data Science & AI na FIAP, “We still need people with in-depth knowledge for specific issues. What has changed is that manual labor will be reduced, while analytical and architectural work will be more in demand.” This means that, although the number of professionals needed to create specific solutions has decreased, the demand for experts capable of understanding and architecting more complex and comprehensive systems is growing.
Training and Education in the Age of Generative AI
The training of new specialists is also keeping up with this evolution. Courses such as the MBA in Data Science & AI seek to prepare students for this new market reality. This MBA requires previous experience in technology or exact sciences, as well as knowledge in data analysis and programming, such as Python. The focus is on training specialists who can work on developing new generations of AI, and not just use the solutions already available on the market.
The Future of Work in the Age of Generative AI
the impact of Generative AI on the job market will be significant. While automation will undoubtedly lead to job displacement, it will also create new opportunities for professionals who are able to reskill and adapt to the changing landscape. The need for specialists and experts will continue to grow, and the training and education of new professionals will need to keep up with the evolving demands of the job market. As the World Economic Forum notes, Artificial Intelligence is the “greatest innovation of the decade,” and it will undoubtedly reshape the job market in 2024 and beyond.
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World Economic Forum AI jobs 2025
The Rise of Generative AI: Revolutionizing the Job Market and Beyond
In September 2023, the World Economic Forum hailed Artificial Intelligence (AI) as the “greatest innovation of the decade,” predicting a significant impact on the job market, particularly in the technology sector [[1]]. The advent of Generative AI has transformed the dynamics of algorithm development, necessitating a shift in the skills and profile of professionals working in this sector.
The Evolution of AI: From Manual Labor to Analytical and Architectural Work
Before the arrival of Generative AI, professionals in data science and traditional AI worked on developing specific machine learning components, requiring in-depth knowledge of mathematics, statistics, and programming. The need for manual labor was high, with many specialists required to create specific AI models. However, with the emergence of Generative AI, many of these problems are now being solved more automatically, optimizing processes and reducing the need for manual labor [[2]].
While the need for specialists has not been eliminated, the demand for experts capable of understanding and architecting more complex and comprehensive systems is growing. According to Keylla Saes, coordinator of the MBA in Data Science & AI at FIAP, “We still need people with in-depth knowledge for specific issues. What has changed is that manual labor will be reduced, while analytical and architectural work will be more in demand.” [[3]]
The Changing Profile of AI Professionals
The transition to Generative AI has not presented significant challenges for those already working in the field. Professionals have adapted to using Application Programming Interfaces (APIs) that facilitate the creation of solutions, reducing the need to create algorithms from scratch. The training of new specialists is also keeping up with this evolution, with programs like the MBA in Data Science & AI at FIAP focusing on preparing students for this new market reality [[3]].
The Economic Potential of Generative AI
The economic potential of Generative AI is substantial, with the potential to add trillions of dollars in value to the global economy [[2]]. The impact on productivity is significant, with the ability to generate complex solutions with less human intervention. According to a report by McKinsey, Generative AI has the potential to become a major productivity driver, transforming industries such as gaming, where AI-driven algorithms can influence both game development and gameplay [[4]][[3]].
The Future of Work in AI
While Generative AI has reduced the need for manual labor, it has opened doors to new ways of working that require high-level technical skills. Professionals in the field of AI and technology are well-positioned to adapt to these changes, even in a rapidly evolving environment. As the demand for experts in AI continues to grow, the job market will need to respond by providing training and development opportunities that address the changing needs of the industry.
the rise of Generative AI is transforming the job market, particularly in the technology sector. The growth of AI has the potential to add significant value to the global economy, while necessitating a shift in the skills and profile of professionals working in this sector. As the industry continues to evolve, it is essential to stay ahead of the curve, providing training and development opportunities that address the changing needs of the job market.
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