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Автор: VideoMy

Загружено: 2025-11-02

Просмотров: 15

Описание: A special VMJPod series – live from ATC 2025! We sit down with industry leaders to go beyond the buzz and discuss what AI really means for talent teams.

Series co-hosted by VideoMy Founder and CEO, David Maccioca and TaPod's Craig Watson.
________

In this episode we talk with Professor Toby Walsh, Chief Scientist at the University of New South Wales and keynote speaker at the Australian Talent Conference. Toby is the author of several influential books including "The Shortest History of AI", "Faking It: AI in a Human World" and "Machines Behaving Badly".

We kick things off with Toby's explaining why he's banned from Russia for speaking out about AI's role in transforming warfare, before diving into the myths and realities surrounding AI in the workplace.

We cover why this revolution is fundamentally different from previous technological shifts, critical challenges facing organisations today, particularly around graduate recruitment and workforce planning, why human skills like emotional intelligence, social interaction and leadership remain irreplaceable and some practical advice for executives who are apprehensive about AI adoption.

And remember – there's no AI problem in your business, only business problems to which AI might be usefully applied.

Key Topics:
01:30 – Why Toby was banned from Russia for speaking about AI in warfare
02:45 – The scale and speed of AI transformation: $2 billion invested daily
03:20 – OpenAI's unprecedented growth as the fastest-growing company in capitalism
05:20 – The future of work: What offices will look like in 5-10 years
05:45 – Why emotional intelligence and social skills can't be automated
06:40 – The graduate recruitment crisis: Challenges and solutions for talent acquisition
08:15 – Which jobs will AI impact? (Spoiler: Almost all of them)
09:45 – How universities are rapidly adapting to AI in teaching and assessment
11:45 – Practical advice for CEOs: Developing your AI plan without going "all in"
13:20 – Data responsibility: Balancing AI opportunities with privacy and security concerns

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