How will you become a leader in the AI Industrial Revolution?
the Bacon Bytes
Leading Insights
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OpenClaw Handed AI the Scissors. Your Context Said Run.
MIT says 95% of AI projects fail. The market assumes the technology isn’t ready. Then OpenClaw proved the capability overhang that Microsoft’s CTO has been describing is real: persistent memory, skill learning, autonomous action, compounding on top of Claude Code and MCP, all running on a Mac Mini. The technology works. The 95% are failing at context. And most don’t know that’s the variable they’re solving for. The question isn’t whether your organization can deploy agents. It’s whether it can manage what they’re about to touch.
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SaaS Is Vanilla. AI Just Learned to Cook.
SaaS spent two decades outsourcing its most defensible value in order to scale fast. Now the market is signaling the moment when SaaS stops being the product and becomes the plumbing. With AI companies going direct to enterprise, the cost of customization is dropping toward zero. But the moats SaaS has aren’t going anywhere overnight. The real question isn’t whether your ERP survives. It’s whether anyone will know it’s there.
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Prompt Engineering: Why AI Strategy Fails Without It
What if your most valuable AI asset isn’t the sophisticated model you just licensed, but the instructions you give it? While executives race to secure cutting-edge AI, an uncomfortable truth is emerging: organizations that master the language of AI instruction consistently outperform those with “better” models but poor prompting discipline. McKinsey’s State of AI 2025 confirms it: competitive advantage is shifting from model selection to the instruction layer. Most enterprises are building their AI strategy backward, leaving employees to figure out prompting through trial and error. The result? Inconsistent outputs, wasted cycles, and leadership that can’t trust AI-generated work. Discover…