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This is how Gen Z is ‘AI-proofing’ their careers

Management Lecturer Jeff LeBlanc authors a piece that outlines how Gen Z isn’t panicking when it comes to AI and instead is quietly pivoting and adapting their career choices.

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The tables have turned: Gen Z may be managing you

As the number of managers from Generation Z grows, Lecturer in Management Jeff LeBlanc authors a piece that highlights their impact on the workplace.

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AI isn’t just replacing tasks. It’s replacing the office, the manager, and maybe even the mission

Lecturer in Management Jeff LeBlanc writes a piece highlighting a new study that reveals AI is no longer just a workplace tool, it’s becoming the workplace.

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Why hybrid work makes conflict harder to address – and what great leaders do about it

Senior Lecturer of Management Susan Vroman and Lecturer of Management Jeff LeBlanc co-author a piece that offers advice to business leaders on how to manage conflict in a hybrid or remote work environment.  

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How managers can lead teams through unpopular RTO policies

Senior Lecturer in Management Susan Vroman writes a piece offering advice for managers leading employees who feel let down by their organization.

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Gen-z isn’t quiet quitting. They’re rejecting outdated leadership.

Lecturer of Management Jeff LeBlanc writes a piece asserting companies that fail to evolve will lose an entire generation of talent.

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Your Team Needs You To Lead, They Don’t Have to Like You

Senior Lecturer of Management Susan Vroman co-authors a piece asserting that effective leaders can't worry about being liked by their team and offering advice on how leaders can handle challenging situations. 

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What do OpenAI’s board changes mean for the future of AI?

Associate Professor of Mathematics Noah Giansiracusa voices his concern about OpenAI CEO Sam Altman returning to a seat on the company's board of directors.

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The latest we know about Sam Altman’s potential return to OpenAI after a chaotic weekend of boardroom drama

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We need a better way to find AI’s dangerous flaws

Mathematics Professor Noah Giansiracusa co-authors a piece asserting that in order to make AI systems safe, we need to pay people to experiment with them out in public.

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