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"Why 80% of Enterprises Are Failing at AI, And the Brutal Truth About What Works" Background Context Two Cuban immigrant technologists - Irving Wladawsky-Berger (MIT Research Affiliate, former IBM) and Honorio Padron (7x CIO/CTO, former NASA, C3 AI, now ExperienceBypass CEO) - discuss enterprise AI transformation realities. Core Arguments & Insights. AI's Solow Paradox Moment: Like computers in the 1980s, AI is everywhere but not showing up in productivity. Only 5-30% of companies are successfully scaling AI. The "What vs. How" Problem: Technology executives at non-tech companies focus too much on building AI infrastructure (the "what") instead of selecting proven platforms and implementing them (the "how"). Stop Building, Start Buying: 80% of companies are 'stuck in the mud' trying to assemble AI factories from Google/Amazon tools. Solution: Buy complete platforms from Palantir, C3 AI, or IBM Watson X. The 80/20 Transformation Rule: Only 10-20% of business processes need to be unique competitive differentiators. The other 80-90% should be standardized. Agent Standardization is Coming: AI agents will force process standardization even more strictly than ERP did. Economic reality will drive this - why build a 'pay the bill' agent when you can buy one for 1/4 the cost? Technology Takes Time: From 1990s Burger King reengineering: 85% of 'restaurant of the future' innovations still aren't implemented. Transformation is evolutionary, not revolutionary. Practical Implementation Path · Identify 15-20% of top enterprise AI drivers for Phase 1 · Select AI platform architecture from proven vendors · Start with 1-2 high-ROI use cases that self-fund transformation · Roll out in waves over 2-3 years · Examples: preventive maintenance for industrials, demand forecasting for retail/CPG Notable Quotes Honorio: "If you want to be a technologist, then go work for one of those companies. But if you are an industrial enterprise, if you are a retail enterprise, you're not in that business. You're in the business of What I'm going to Select and How I am going to Implement, not what I'm going to build." Irving: "Unless the technology can be deployed at scale in the marketplace, in companies, in industries, in governments, in the overall economy, we don't have anything."