
A Splice of Life Science Marketing
S2 Ep 34: Botsitting: Where Your AI Time Savings Actually Go
Your fastest AI user may also be your most expensive one. Workers say AI saves them around 11 hours a week, then hand roughly 6.4 of those hours straight back to checking and correcting the output. Matt Wilkinson and Jasmine Gruia-Gray call that hidden labour botsitting, and most teams have no idea how much of it they are doing. For life science marketers and product managers who have rolled out AI and are still waiting for the productivity to show up in the numbers. Matt and Jasmine unpack the Glean Work AI Index 2026 and the Harvard Business Review research on workslop, AI output that looks finished and isn't. They explore why AI has no sense of when to stop, why experienced teams still spend heavily on supervision, and why the humble marketing brief is back as the most useful input you can give a model. The episode closes with practical steps to size the botsitting tax and budget review time before launch. Key idea: AI saves time, but half of it goes back into botsitting unless humans own direction and judgement. What you will learn: - Why workers report large AI time savings while few organisations see measurable gains - What workslop costs in cleanup time per piece and across a large company - Why AI produces fluent, confident output that still needs a human to decide when it is done - How a proper brief built around persona and pain points reduces rework - How to put a rough number on the time your team spends fixing AI output - How to triage tasks so regulated claims and buyer-facing content get review time budgeted up front Chapters: 00:00 Introduction 00:25 What botsitting is and what the Glean data shows 04:40 Workslop and the real cost of cleanup 05:42 The Sisyphus problem 07:05 Creating for volume and the AI summary loop 09:50 Will botsitting fade as teams mature? 11:27 Is this just good editing? 13:20 Context, guidelines and the brief 18:50 Practical advice: quantify the tax and triage the work 20:49 When fixing AI takes longer than writing it 22:47 Closing thoughts Keywords: botsitting, workslop, AI productivity, life science marketing, AI ROI, context engineering, prompt engineering, marketing brief, synthetic customers, Glean Work AI Index, B2B marketing AI, AI governance Watch the full episode, subscribe to A Splice of Life Science Marketing, and visit strivenn.com to see how Strivenn helps life science teams turn AI activity into commercial results.



