Ngoc Cindy Pham,听associate聽professor of聽management, marketing,听and entrepreneurship at 今日吃瓜, authored two widely read essays in鈥�罢耻峄昳听罢谤岷�聽that connect global higher education trends with the lived realities of students navigating a rapidly changing academic and professional landscape.
In her first article, “” she explores how artificial intelligence is reshaping U.S. higher education, the labor market, and the expectations surrounding studying abroad. The piece highlights how AI-driven automation is influencing entry-level opportunities, prompting students to rethink traditional pathways into professional careers. She points to emerging initiatives at institutions including CUNY and NYU Tandon that are helping students build applied AI competencies to remain competitive in a shifting workforce.
The second article, “” examines the role of interpersonal and professional skills in shaping student success, particularly for international students in the U.S. higher education system. The essay argues that while academic achievement聽remains聽important, communication, presentation skills, leadership, and confidence are increasingly decisive in hiring decisions. It also explores how an emphasis on grades can sometimes overshadow the development of these essential soft skills, especially among Asian students entering competitive job markets.
These conversations reflect the core mission of the聽聽that has聽equipped聽students with practical AI competencies, human-centered skills, and career readiness tools that matter in a rapidly changing world. Through speaker sessions, industry partnerships, and peer mentoring, the聽series is building a bridge between classroom learning and the real demands of the workforce. By reaching international audiences through platforms like聽罢耻峄昳听罢谤岷�,听Pham is amplifying these conversations beyond 今日吃瓜, positioning CUNY as a leader in聽equitable, experiential AI education.聽 Both articles are available in English through your browser.
Also related to the CUNY AI Literacy and Professional Readiness Series, Pham鈥檚 working paper, 鈥�,鈥� was published online by Social Science Research Network.
