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Figure: 4 AI Adoption by Firms and Preparing US Labor Force for Future Jobs Timelines

Figure 5 4 AI Adoption by Firms and Preparing US Labor Force for Future Jobs Timelines

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Figure:1 Radar Chart for the Literature Cited in this Work designed to simulate real-world scenarios, adapting to individual learning paces and skill levels to optimize knowledge acquisition and retention. These agents will leverage state-of-the-art AI technologies to provide personalized, scalable, and interactive learning experiences, addressing the growing demand for upskilling in an AI- driven world. The rapid advancement of generative artificial intelligence (AI) presents new opportunities for education and workforce training. This proposal advocates for the development of Generative AI Agents as intelligent training assistants, leveraging AI- driven methodologies to provide personalized, scalable, and _ interactive learning experiences. These agents will be
Figure:1 Radar Chart for the Literature Cited in this Work designed to simulate real-world scenarios, adapting to individual learning paces and skill levels to optimize knowledge acquisition and retention. These agents will leverage state-of-the-art AI technologies to provide personalized, scalable, and interactive learning experiences, addressing the growing demand for upskilling in an AI- driven world. The rapid advancement of generative artificial intelligence (AI) presents new opportunities for education and workforce training. This proposal advocates for the development of Generative AI Agents as intelligent training assistants, leveraging AI- driven methodologies to provide personalized, scalable, and _ interactive learning experiences. These agents will be
Satyadhar Joshi. Agentic generative Al and the future U.S. workforce: advancing innovation and nationc competitiveness
Satyadhar Joshi. Agentic generative Al and the future U.S. workforce: advancing innovation and nationc competitiveness
Construction (AEC) In the architecture, engineering, and construction (AEC) sector, generative AI applications are gaining traction. [13] reviews trends and implications for practice, education, and upskilling in this domain. The study underscores the transformative potential of AI in streamlining AEC processes and enhancing productivity. UCMLCTULLVE £48 UNUM EMAUUE LVEUPINOE EEUU Generative AI has emerged as a transformative force, with — significant implications for job quantity and quality. [10] conducts a global analysis of these effects, while [9] examines how generative AI could reshape employment and _ labor markets, particularly in the context of job displacement. Additionally, [8] discusses the dual impact of generative AI, noting that while it may replace certain occupations, it also creates short-term opportunities for early adopters. education, and upskilling in this domain. Al in Architecture, Engineering, and Construction (AEC)
Construction (AEC) In the architecture, engineering, and construction (AEC) sector, generative AI applications are gaining traction. [13] reviews trends and implications for practice, education, and upskilling in this domain. The study underscores the transformative potential of AI in streamlining AEC processes and enhancing productivity. UCMLCTULLVE £48 UNUM EMAUUE LVEUPINOE EEUU Generative AI has emerged as a transformative force, with — significant implications for job quantity and quality. [10] conducts a global analysis of these effects, while [9] examines how generative AI could reshape employment and _ labor markets, particularly in the context of job displacement. Additionally, [8] discusses the dual impact of generative AI, noting that while it may replace certain occupations, it also creates short-term opportunities for early adopters. education, and upskilling in this domain. Al in Architecture, Engineering, and Construction (AEC)
Table 2 Tools and Package used in current literature Satyadhar Joshi. Agentic generative Al and the future U.S. workforce: advancing innovation and natior competitiveness
Table 2 Tools and Package used in current literature Satyadhar Joshi. Agentic generative Al and the future U.S. workforce: advancing innovation and natior competitiveness
focuses more in research gaps and future work. While table 4 discusses quantitative findings of the literature cited.
focuses more in research gaps and future work. While table 4 discusses quantitative findings of the literature cited.
enable self-training for new employees, particularly in sectors where skill gaps are widening due to technological advancements. By utilizing AlI-driven agents that can personalize learning experiences and provide real-time guidance, organizations can streamline the onboarding process and _ foster continuous _ skill development. Figure 3 proposes actions needed to prepare future labor force by training labor force while figure 4 shows what steps companies need to take. Generative AI agents can serve as interactive trainers that guide individuals through various tasks, answer questions, and provide feedback on their performance. These AI agents will leverage natural language processing and machine learning to understand the unique learning needs of each individual, adapting the training content based on their progress and areas for improvement. As a result, employees can learn at their own pace, receive instant feedback, and engage in practical exercises that mimic real-world situations, all without needing direct supervision from human instructors. The goal of this proposal is to explore the potential of using generative AI agents to International Journal of Research and Review (ijrrjournal.com) Volume 12; Issue: 2; February 2025
enable self-training for new employees, particularly in sectors where skill gaps are widening due to technological advancements. By utilizing AlI-driven agents that can personalize learning experiences and provide real-time guidance, organizations can streamline the onboarding process and _ foster continuous _ skill development. Figure 3 proposes actions needed to prepare future labor force by training labor force while figure 4 shows what steps companies need to take. Generative AI agents can serve as interactive trainers that guide individuals through various tasks, answer questions, and provide feedback on their performance. These AI agents will leverage natural language processing and machine learning to understand the unique learning needs of each individual, adapting the training content based on their progress and areas for improvement. As a result, employees can learn at their own pace, receive instant feedback, and engage in practical exercises that mimic real-world situations, all without needing direct supervision from human instructors. The goal of this proposal is to explore the potential of using generative AI agents to International Journal of Research and Review (ijrrjournal.com) Volume 12; Issue: 2; February 2025
Figure: 3 Proposals of Actions for securing future competitive of US Labor Force Satyadhar Joshi. Agentic generative AI and the future U.S. workforce: advancing innovation and nation: competitiveness Objectives i, ce ie, a Interactive training modules will be designed to simulate real-world tasks and challenges. These modules will incorporate feedback mechanisms to adapt to the learner’s progress and provide real-time assistance. For example, in a _ software development training program, the AI agent could guide learners through coding exercises, debug errors, and_ explain complex concepts. The primary objectives of this proposal are:
Figure: 3 Proposals of Actions for securing future competitive of US Labor Force Satyadhar Joshi. Agentic generative AI and the future U.S. workforce: advancing innovation and nation: competitiveness Objectives i, ce ie, a Interactive training modules will be designed to simulate real-world tasks and challenges. These modules will incorporate feedback mechanisms to adapt to the learner’s progress and provide real-time assistance. For example, in a _ software development training program, the AI agent could guide learners through coding exercises, debug errors, and_ explain complex concepts. The primary objectives of this proposal are:
Figure: 5 AI Adoption by Firms and Preparing US Labor Force for Future Jobs Timelines Part 2 Satyadhar Joshi. Agentic generative AI and the future U.S. workforce: advancing innovation and nation competitiveness
Figure: 5 AI Adoption by Firms and Preparing US Labor Force for Future Jobs Timelines Part 2 Satyadhar Joshi. Agentic generative AI and the future U.S. workforce: advancing innovation and nation competitiveness
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