The latest Artificial Intelligence (AI) developments in the Greater Bay Area (GBA) have exposed a new field of areas and trade-offs. AI application and efficiency assessment is being researched as a goal of this study on the significance of AI technology in top sectors of the GBA. The descriptive statistical analyses presented the mean values of the selected analyzers. Social aspects were also explored using data visualizations. The impact of different factors on the skills that AI personnel are expected to master was evaluated based on qualitative methods and hierarchical clusters of keywords. Operational definitions were established. Scaled reliability and validity tests were conducted to make the scale more reliable. Strategizing and suggestive mechanisms regarding educational differences in the GBA area are singled out to create communities supporting AI growth. The findings are vital for understanding the mix of skills and traits across the AI workforce plenitude that leads the various industry types. Through descriptive analyses and visualizations, the numbers could be understood. The study allows for a systematic mixed-methods study and visionary framework on harvesting and nurturing the needed talent in AI, making social and economic growth sustainable for GBA.