Steve Cadigan is a Talent Advisor at Cadigan Talent Ventures, which helps top organizations and leaders build compelling talent solutions for the digital era. As a keynote speaker on the future of work, he has been at the forefront of global talent strategy and company culture for the past 30 years. Steve was LinkedIn's first Chief HR Officer, having scaled the company's talent from 400 to 4,000 in 3.5 years.
He is the author of Workquake and has been recognized as an exceptional world-class performer in culture by The Wall Street Journal, Fortune magazine, and other publications. In 2021, Steve was recognized as being among the top 200 Global Thought Leaders in the world of people and talent.
In this episode…
As artificial intelligence takes over the workplace, many professionals and students are questioning the value of traditional education and wondering how to prepare for a future that seems increasingly unpredictable. With AI disrupting both blue- and white-collar jobs, and universities lagging behind in adapting to the digital age, how can individuals stay relevant?
Former HR executive Steve Cadigan urges professionals to become students of AI, develop uniquely human skills like empathy and communication, and prioritize adaptability over pursuing specific career paths. While AI is currently being used to cut jobs and costs, the real opportunity lies in creating new value and guiding others through the transition. Additionally, countries like China are accelerating AI-backed development through state-backed efforts and massive educational investments, graduating more AI-trained professionals than any other nation. This should prompt professionals in the US to accelerate innovation.
In the latest episode of What The Teck?, Rolando Rosas welcomes Steve Cadigan, Talent Advisor at Cadigan Talent Ventures, back to discuss the impact of AI on education, work, and society. Steve talks about economic growth in super cities, concerns surrounding AI's power and influence, and the ethical concerns of AI exposing personal data during the hiring process.
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