Darren GoonawardanaChief Executive Officer & Co-Founder, Collectiv · Chief Executive Officer & Co-Founder at Collectiv

Winning With AI Means Redesigning the Work

1 Oct 2026 · 1 min

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In this brief talk, the speaker argues that the most common mistake with AI is treating it merely as a speed‑up tool for existing tasks—such as faster emails, summaries, and reports. While these improvements are useful, they are not transformational. Because AI can now read, summarize, reason, predict, and act across systems, the speaker urges a fundamental redesign of work: eliminating unnecessary steps, moving decision points earlier in processes, and shifting many roles from task execution to outcome management. The core message is to stop asking how AI can make current work faster and instead ask what work should look like in an AI‑augmented world.

Chapters

The biggest mistake with AI is using it only to speed up the work you already do. Faster emails, faster summaries, faster reports. Useful, yes. Transformational, not always. The bigger question is this: if AI can now read, summarize, reason, predict, and act across systems, should the work still be designed the same way? Some steps may disappear. Some decisions may move earlier. Some roles may shift from doing the task to managing the outcome. Do not just ask how AI makes old work faster. Ask what work should look like now.