Navigating the Disruption of Generative AI in the Workplace

The world is completely different than it was before ChatGPT. 🌎

GenAI has shook the world, and we've been here. 

Every step of the way. 

As we celebrate Everyday AI's 500th episode, we're taking a look back at how far the GenAI landscape has changed and talk about what's next. 

We'll also take a bunch of question from our livestream audience and reflect a bit on our favorite moments. 

Celebrating Everyday AI's 500th Episode: What we've learned about GenAI so far and where we're headed

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Topics Covered in This Episode:

1. Evolution of Generative AI Since Inception of Everyday AI
2. Discussion on the Future of Work and AI's Impact on Employment
3. Jordan Wilson's Background and Decision to Focus on Everyday AI
4. Initial Skepticism and Early Use of GPT Technology
5. The Shift From GPT Technology to ChatGPT
6. The Integrations and Plans of Generative AI in Enterprises
7. The Potential for AI to Reshape Traditional Employment Models
8. AI's Influence on Service Industries and Consulting
9. Role of Nontechnical People in AI Adoption
10. Redefining Human Skill and Value with AI
11. The Concept of Human in the Loop vs. Expertise in the Loop
12. The Competitive Landscape of the AI Race

Timestamps:
00:00 "Everyday AI: Leverage Generative AI"

09:09 Daily Commitment to Learning AI

14:03 AI Dominates Enterprise Tech

16:31 AI Adoption by Nontechnical Users

26:45 Entrepreneurship Revival Amid AI Layoffs

27:45 Generative AI's Organizational Impact

35:36 Consultancies Facing Change and Layoffs

41:02 "Redefining Human Skill with AI"

48:25 "Human Skills in AI Era"

52:35 Agent Orchestration and Expertise Integration

59:15 Evaluating AI Model Quality

01:04:00 Encouraging Gen AI Acceptance

01:08:26 "Ignoring Advice: The Birth of Everyday AI"

01:14:58 Supportive Feedback's Impact

01:15:56 Thank You for 500 Episodes

Keywords:
Generative AI, Future of Work, AI impact on employment, AI in service industries, Redefining human skill, Human value, AI transformation, AI ethics, Nonprofit leadership, Accelerant Agency, GBT technology, ChatGPT, Large language models, Enterprise AI, AI capabilities, OpenAI, Microsoft Copilot, AI tools, Third party software, AI automation, AI research, Deep research, Multimodal generative AI, Artificial super intelligence, Agency, AI workflows, Autonomous agents, Agent orchestration, Business models, Consulting disruption, Legal industry, Financial services, AI-powered research, AI-driven s

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