The AI Adoption Pattern Tech Leaders Are Missing in Their Teams

<p>For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: <a href="https://www.instagram.com/avetisantaplyan">⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/avetisantaplyan⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠</a></p><p><br></p><p>In this episode of The Tech Leader&#39;s Playbook, Avetis Antaplyan sits down with Ariel Jalali, an AI entrepreneur, advisor, operator, longtime CTO, and founder of Paragon Tech. Ariel has been building in AI and machine learning since 2014, previously taught part-time at UCLA, and now helps mid-market companies drive capital efficiency and value creation through practical, measurable AI implementation.</p><p><br></p><p>Together, Avetis and Ariel unpack why this AI wave feels fundamentally different from previous technology shifts like the internet, cloud, mobile, ERP, and CRM. Ariel explains why the speed of change is compressing decades of transformation into years, why curiosity may matter more than age when adopting AI, and why the future of work may be better understood as the future of earning, ownership, purpose, and belonging.</p><p><br></p><p>The conversation moves from tactical to philosophical, covering AI adoption inside private equity-backed and mid-market companies, the rising importance of CFOs and COOs, the difference between efficiency AI and productivity AI, and why organizations should avoid simply automating broken processes. Ariel also shares his perspective on career reinvention, player-coach leadership, AI avatars in meetings, the risks of outsourcing human thinking, and why human relationships still matter in an increasingly automated world.</p><p><br></p><p><strong>Takeaways</strong></p><ul><li><p>AI is not just another technology cycle; Ariel frames it as a new wave moving much faster than cloud, mobile, ERP, or CRM adoption.</p></li><li><p>Career resilience in the AI era depends less on age and more on curiosity, tinkering, adaptability, and a willingness to learn by doing.</p></li><li><p>Ariel argues that the “future of work” may become the future of earning, ownership, purpose, and belonging as traditional jobs evolve.</p></li><li><p>Companies should begin AI projects with clear KPIs, measurable ROI, and an understanding of the business outcome they are trying to improve.</p></li><li><p>Efficiency AI focuses on automating tedious back-office workflows, while productivity AI helps people create, decide, and execute faster.</p></li><li><p>Spreadsheets are often a signal of operational gaps between sy