What Part of Your Job Is Really You? How AI Reveals Your True Value In this episode, Kevin explores how the fear of being replaced by AI is rooted in a deeper question: what truly defines your identity and value at work? He shares insights from decades of observing automation’s impact on roles, emphasizing the importance of understanding the human-AI relationship to leverage this moment correctly. Key topics — The misconception: AI replacing humans versus AI replacing parts of human roles The three ways humans interact with machines: subtraction, addition, multiplication Why multiplication with AI turns into a powerful opportunity for human growth and contribution How to identify and cultivate the human skills machines can't automate The danger of optimizing for efficiency without aligning to purpose or direction The importance of discernment and purpose in leadership during the AI era Practical steps: automate the right things, elevate human judgment, originate new ideas Timestamps: 00:35 - The fear that AI will make someone unnecessary 01:11 - A real example of automation replacing part of a job, not the person 02:00 - The lesson: people are replaced by the part of their job a machine can do 03:13 - If the only value you bring is machine-doable work, you should be nervous 03:37 - The first equation: subtraction, human minus machine 05:18 - The second equation: addition, human plus machine 06:41 - Why addition alone just creates a faster race to the bottom 07:08 - The third equation: multiplication, human times machine 08:34 - How clarity in the human multiplies the machine’s capacity 09:42 - Why multiplication makes the human factor more important, not less 10:19 - The speaker’s own story of hiding inside busywork and “usefulness” 11:27 - A stewardship question that changed everything 12:58 - How automation exposed identity tied to busywork 13:26 - The question: if the machine can do that, what was I actually for? 14:16 - Why great tools without human purpose still lead to flat engagement 15:31 - When tools meet a maxed-out human, the result becomes multiplication 16:29 - Trinity Cadence and Dream Compass as examples of machine plus human purpose 17:24 - The machine only increases value if the human half is clear 17:46 - Speed is not the same as direction 18:47 - Optimizing the wrong targets can lead a company off a cliff 19:42 - The uniquely human gifts: origination, discernment, love, and choice 20:04 - The better question: should we do this at all, and who does it serve? 21:12 - The core question: what was ever really me? 21:52 - The three moves for this season: automate, elevate, originate 22:53 - Teaser for next week: the human skills AI can’t replicate

Ninety days ago I said I was going all in. Here's the real scorecard: 10% of pipeline closed, eight strong Cadence demos, one product that stalled because I built before I validated, a health commitment I still haven't kept — and the job I took because I have a family to support.