In this episode, Brad Hairston talks with Kelly Monahan, Founder and Managing Director at Upwork Research Institute, who explains how her future of work research challenges some of the prevailing views of the C-suite on AI.

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Here’s what we talked with Kelly about:

*What being a future of work expert is all about

*The augmentation versus automation debate

*Why AI falls short in managing people or replacing entire roles

*Why AI adoption is not has high as the hype suggests

*The need for greater AI literacy

*What truly makes up the best managers in the age of AI

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In this episode, Transform NOW co-hosts Brad Hairston and Michael Marchuk banter about some interesting recent news headlines in the world of automation and AI.

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News stories covered in this episode:

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Trump Wants Tariffs to Bring Back U.S. Jobs. They Might Speed Up AI Automation Instead.

https://time.com/7276087/trump-tariffs-ai-automation-robots/

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China Has an Army of Robots on Its Side in the Tariff War. https://www.nytimes.com/2025/04/23/business/china-tariffs-robots-automation.html

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The Gen Z Lifestyle Subsidy https://www.theatlantic.com/technology/archive/2025/04/college-students-free-chatgpt/682532/

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Agentic AI has arrived. Companies are still struggling to find out what it can do. https://www.techmonitor.ai/digital-economy/ai-and-automation/agentic-ai-first-use-cases

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Duolingo will replace contract workers with AI. https://www.theverge.com/news/657594/duolingo-ai-first-replace-contract-workers

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In this episode, host Michael Marchuk speaks with Veronica Hylak about the evolving landscape of Agentic AI. They explore the industries that are leading the charge in AI adoption, the importance of building trust with AI systems, and how organizations can adapt to work alongside AI. Veronica shares insights on the future of AI, emphasizing the need for transparency and stability, while also discussing the potential challenges that lie ahead.

Here’s what we talked with Veronica about:

1. Agentic AI is transforming industries like finance and healthcare.

2. Building trust in AI involves transparency and accountability.

3. AI can enhance workplace productivity by acting as a collaborator.

4. The future of AI is about augmentation, not just automation.

5. Understanding data lineage is crucial for effective AI use.

6. AI's ethical implications require careful consideration.

7. Prompt engineering is essential for getting desired AI outputs.

8. Organizations must support AI initiatives with clean data.

9. The role of humans in AI collaboration is irreplaceable.

10. Vibe coding can lead to unstable and risky AI solutions.

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