Nick Drydakis examines how AI knowledge affects employment prospects, defining "AI capital" as a combination of knowledge, skills, and capabilities related to AI technologies. He conducts a correspondence test in England, finding that university graduates with AI capital, obtained through an AI business module, received more job interview invitations than those without AI capital. Graduates with AI capital were also invited to higher-paying job positions. Large firms showed a preference for applicants with AI capital, leading to more interview opportunities and higher-paying roles. The study concludes that AI capital may enhance employment prospects, particularly in large firms. The study highlights the growing importance of AI in business, with applications in marketing, customer communication, predictions, cybersecurity, recruitment, and legal services. AI skills are seen as valuable for data analysis, decision-making, creativity, and communication. The study defines AI capital as a vector of knowledge, skills, and capabilities that can boost productivity, employment, and earnings. It suggests that AI capital could be a critical factor in employment prospects, especially in large firms. The study uses an experimental methodology to assess the impact of AI capital on employment outcomes. It finds that job applicants with AI capital have a higher chance of receiving interview invitations and are more likely to be offered higher-paying positions. The study also notes that large firms are more likely to value AI capital, leading to better employment outcomes for applicants with AI skills. The findings support the idea that AI capital can be a valuable asset in the labor market, particularly for large firms. The study contributes to the literature by introducing the concept of AI capital, highlighting the importance of AI skills in education and training, and demonstrating the effectiveness of experimental methods in assessing labor market outcomes.Nick Drydakis examines how AI knowledge affects employment prospects, defining "AI capital" as a combination of knowledge, skills, and capabilities related to AI technologies. He conducts a correspondence test in England, finding that university graduates with AI capital, obtained through an AI business module, received more job interview invitations than those without AI capital. Graduates with AI capital were also invited to higher-paying job positions. Large firms showed a preference for applicants with AI capital, leading to more interview opportunities and higher-paying roles. The study concludes that AI capital may enhance employment prospects, particularly in large firms. The study highlights the growing importance of AI in business, with applications in marketing, customer communication, predictions, cybersecurity, recruitment, and legal services. AI skills are seen as valuable for data analysis, decision-making, creativity, and communication. The study defines AI capital as a vector of knowledge, skills, and capabilities that can boost productivity, employment, and earnings. It suggests that AI capital could be a critical factor in employment prospects, especially in large firms. The study uses an experimental methodology to assess the impact of AI capital on employment outcomes. It finds that job applicants with AI capital have a higher chance of receiving interview invitations and are more likely to be offered higher-paying positions. The study also notes that large firms are more likely to value AI capital, leading to better employment outcomes for applicants with AI skills. The findings support the idea that AI capital can be a valuable asset in the labor market, particularly for large firms. The study contributes to the literature by introducing the concept of AI capital, highlighting the importance of AI skills in education and training, and demonstrating the effectiveness of experimental methods in assessing labor market outcomes.