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Data-Driven Self-Deception: Why "More & Faster" Data is Failing Leaders
Mountains of data. Instant delivery. AI co-pilots ready to process it all in seconds. By all logic, our decision-making should be getting sharper, easier, and infinitely more effective. Yet, the exact opposite is happeni...
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Data-Driven Self-Deception: Why "More & Faster" Data is Failing Leaders is an episode from Learning Tech Talks by Christopher Lind. Mountains of data. Instant delivery. AI co-pilots ready to process it all in seconds. By all logic, our deci...
This episode belongs to Learning Tech Talks.
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Published Mar 23, 2026, 00:33:26 long, audio available.
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What is Data-Driven Self-Deception: Why "More & Faster" Data is Failing Leaders about?
Mountains of data. Instant delivery. AI co-pilots ready to process it all in seconds. By all logic, our decision-making should be getting sharper, easier, and infinitely more effective. Yet, the exact opposite is happening. Leaders are more stressed, more disconnected from their teams, and increasingly regretting their choices. The reality is a much more sobering masterclass in data-driven self-deception. This week, I am examining a recent vendor report from Confluent that argues the solution to our modern leadership crisis is simply more and faster data. But if you look closely at the numbers (like 62% of executives using AI for a majority of their decisions, and 70% second-guessing their own judgment) the data actually holds the keys to why our decision-making processes are breaking down, and exactly what we can do to fix them. I’ll explain why we must aggressively interrogate the lenses behind both external vendor reports and internal dashboards, how AI is secretly acting as an echo chamber that isolates executives, and why the ultimate leadership skill right now isn't just moving faster, but knowing how and where to inject "strategic friction". My goal is to move you out of "Spectator Mode" to "Strategic Preparation" by highlighting the greatest opportunities to prepare your organization for what’s ahead: Decoding Data Lenses: We love to assume internal dashboards are objective truth. I break down why every metric has a hidden motive, like a talent acquisition leader celebrating a 20% increase in speed-to-hire while completely missing a drop in 90-day retention. You cannot blindly consume data; you must go into your next meeting prepared to ask what context is missing before making a call. Escaping the Lethal Triad: We casually assume AI is a collaborative partner, but it's often an echo chamber that isolates leaders from their teams. I share why you must actively fight the triad of isolation, overreliance on AI, and willful ignorance. You need to pause major decisions this week and force messy, human collaboration before you become part of the 75% of leaders who regret moving too fast. Injecting Strategic Friction: We are making sweeping organizational decisions just to appease the intense social pressure to move faster. I explain why using AI to just execute faster is a disaster waiting to happen. You must use AI and data to map out validation plans, like quickly testing assumptions on a massive upskilling push, so you can apply strategic friction and actually move at the right speed. By the end, I hope you see that true leadership isn't about blindly matching the speed of the machines. You cannot simply wait for a dashboard to tell you what to do; you have to define the friction points that will lead your team to the right outcomes. ⸻ If this conversation helps you think more clearly about the future we’re building, make sure to like, share, and
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Data-Driven Self-Deception: Why "More & Faster" Data is Failing Leaders is an episode from Learning Tech Talks by Christopher Lind.
How long is this episode?
This episode is 00:33:26 long.
When was this episode published?
This episode was published on Mar 23, 2026.
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Where can I listen to Data-Driven Self-Deception: Why "More & Faster" Data is Failing Leaders?
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Which podcast is this episode from?
Data-Driven Self-Deception: Why "More & Faster" Data is Failing Leaders is from Learning Tech Talks by Christopher Lind.
What are the episode details?
Published Mar 23, 2026 and 00:33:26 long