# The 26 Principles, Revisited &#8212; #23: Algorithmic Partnership &#8212; What I Said, and What&#8217;s Actually Happening
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## Article Content
Part of my &#8220;26 Principles, Revisited&#8221; series &#8212; checking my own math, nine months into the year I predicted. Don't 'learn' AI. Redesign your personal productivity around it. Day 23&#8217;s argument: treating AI as one more tool to learn misses the point. The real shift is redesigning your entire workflow around a genuine AI partnership, not bolting AI onto an unchanged process. The adoption curve validated the urgency: roughly 40% of enterprise applications are expected to embed task-specific AI agents by the end of 2026, up from under 5% the year before &#8212; genuinely exponential. But the same data shows only about a quarter of organizations are actually scaling that partnership past the pilot stage, and over 40% of agentic projects are at real risk of cancellation. Redesigning around AI, it turns out, was the easy part to say and the hard part to actually do. Verdict: Right call, badly executed by most &#8212; the redesign is still mostly unfinished business. Next up: Principle #24, Trust Capital &#8212; revisited.

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Source: https://jimcarroll.com/2026/10/the-26-principles-revisited-23-algorithmic-partnership-what-i-said-and-whats-actually-happening/