The Myth of the Klarna Effect
The “Klarna Effect” reveals the hidden risks of an AI-only corporate strategy.…
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AI Safety Risks Enterprise Leaders Can’t Afford to Ignore: What Anthropic’s Sabotage Report Really Reveals
Anthropic’s Sabotage Risk Report reveals uncomfortable truths about enterprise AI adoption. From…
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The Evolution of Application Development: 50 Years of Innovation (1975-2025)
From punch cards and structured programming to cloud-native architectures and AI-assisted coding,…
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AI Market Research Limitations: What 12 Synthetic CEO Personas Reveal About the Trust Gap
AI market research promises speed and scale—but trust remains the limiting factor.…
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What Really Happened When SaaStr Replaced Its Sales Team with AI Agents
When SaaStr replaced most of its sales team with AI agents, the…
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The Synthetic Trap: Ethics, Bias, and the Future of Automated Discovery
Synthetic users can accelerate discovery—but used blindly, they create dangerous illusions. This…
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Hallucination vs. Simulation: How to Trust (and Verify) Your Synthetic Data
Synthetic data can accelerate customer research—but only if it’s trustworthy. This article…
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Running the Simulation: 3 Ways to Grill Your Synthetic Panel for Insights
Most teams treat synthetic personas like chatbots—and get shallow answers in return.…
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The AI Sales Productivity Paradox: Why 95% of Organizations See No Measurable Returns Despite Record Adoption
Despite record investment in AI sales tools, 95% of organizations see no…
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Beyond “Act Like a CEO”: Engineering High-Fidelity Synthetic Personas for SaaS
Most founders use AI prompts like “Act like a CEO” and get…