Using AI isn't a competitive advantage anymore. 🤦

It's just like using the internet.

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Topics Covered in This Episode:

Companies’ Outdated View of AI as a Differentiator
AI as Baseline Technology, Like the Internet
“AI vs. Internet” Test for Strategy Validity
Superficial Use of “AI Powered” in Marketing
Widespread, Unconscious AI Use by Employees and Customers
Universal Expectation for Companies to Be AI Native
Tech Sector Layoffs and Productivity Tied to AI Adoption
Agile Startups Threatening Slow AI Adopters
Integration of AI Seamlessly into Web Tools (Google, Bing)
Major Providers Offering Free AI Tools
AI’s Pervasiveness in Fortune 500 and Customer Expectations
AI Improving and Compressing Business Communications
Early AI Adopters’ Profit vs. Late Adopters’ Missed ROI
Necessity to Treat AI as Infrastructure, Not Innovation
Recommendations: Employee Training, Custom Use Cases, First-Party Data
Warning Against Superficial AI Integration
Urgent Need for Process Reengineering for True AI Advantage

Timestamps:
00:00 "Hot Take: AI Overhyped as Innovation"

06:22 "Test Exposes Weak AI Strategies"

07:41 AI: The Corporate Quick Fix

13:16 AI Layoffs Drive New Competitors

14:25 AI Strategy: A Competitive Imperative

20:57 Embrace AI or Fall Behind

22:55 AI's Growing Independence from Middlemen

28:23 "Train Everyone in AI Basics"

31:11 Capturing Institutional Knowledge

34:50 AI Strategy: Rethink, Don't Tweak

37:54 Effective AI Usage and Adoption

40:44 Feedback on AI Commentary

Keywords:
Generative AI, AI strategy, company AI advantage, digital transformation, business innovation, artificial intelligence, ChatGPT, large language models, AI implementation, AI-powered companies, AI enablement, AI versus Internet test, business processes, AI native, competitive advantage, AI adoption, AI disruption, Internet powered, AI expectations, enterprise AI, Microsoft Copilot, Google Gemini, OpenAI, Anthropic Claude, AI in business, customer expectations, agentic AI, first party data collection, reasoning data, RAG, AI use cases, productivity gains, AI training, business automation, workplace AI, upskilling, reskilling, institutional knowledge, dat

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03.34.2023