The Tech Leader's Playbook

Avetis Antaplyan
  • 5.0 (28)
  • Tech News
  • Updated Weekly

Welcome to your weekly playbook for tech leadership - where founders, executives, and innovators share real strategies for scaling smarter and leading stronger. Hosted by Avetis Antaplyan, Founder and CEO of HIRECLOUT, a global leader in technology and go-to-market recruiting and consulting.

  1. Jul 22

    Why Most Executives Are Implementing AI All Wrong | Harry Glorikian

    In this episode of The Tech Leader’s Playbook, Avetis Antaplyan speaks with technology executive, investor, author, and MIT Media Lab affiliate researcher Harry Glorikian about how AI is changing business at the operating-model level. Drawing from his book The Invisible Interface, Harry explains why domain experts may outperform pure technologists, how AI agents could enable billion-dollar companies with remarkably small teams, and why traditional software businesses face growing disruption. They also examine AI implementation mistakes, organizational redesign, proprietary data, cognitive rent, leadership accountability, and why executives should focus on revenue creation—not only headcount reduction. This conversation is essential for CEOs, CIOs, CTOs, investors, entrepreneurs, and technology leaders preparing their organizations for an AI-native economy. What You'll Learn • Why AI strategy must be led by executives rather than delegated entirely to technology teams. • How domain expertise helps organizations build more accurate and valuable AI workflows. • What the invisible interface means for software, commerce, customer relationships, and competitive advantage. • When proprietary data, institutional knowledge, and AI memory create cognitive rent and vendor lock-in. • The organizational questions leaders should answer before deploying AI agents across the business. Chapters 00:00 AI Leadership and Organizational Change 01:35 Harry Glorikian’s Career Journey 06:30 Leadership Lessons and Innovation 16:24 Executive AI Implementation Mistakes 25:00 AI Agents and Smaller Teams 27:30 SaaS Disruption and Consolidation 34:12 Why AI Is Not a Bubble 39:32 The Invisible Interface 52:42 Redesigning AI-Native Organizations 01:06:01 AI Investment Opportunities and Predictions Follow Avetis Antaplyan Instagram: https://www.instagram.com/avetisantaplyan Spotify: https://open.spotify.com/show/0rOkUXDSQb6SVFE6LttWDe Apple Podcasts: https://podcasts.apple.com/us/podcast/the-tech-leaders-playbook/id1690263628 Follow Harry Glorikian LinkedIn: ⁠https://www.linkedin.com/in/harryglorikian/⁠ Website: ⁠https://glorikian.com/⁠ HIRECLOUT: https://www.hireclout.com The Tech Leader's Playbook: https://www.podcast.hireclout.com LinkedIn: https://www.linkedin.com/in/hirefasthireright artificial intelligence, AI leadership, enterprise AI strategy, generative AI, AI agents, large language models, organizational design, future of work, digital transformation, AI implementation, executive leadership, AI business strategy, domain expertise, proprietary data, cognitive rent, AI memory, competitive advantage, SaaS disruption, software disruption, AI infrastructure, business innovation, technology investing, one-person billion-dollar company, Harry Glorikian, Avetis Antaplyan, The Invisible Interface, The Tech Leader’s Playbook, MIT Media Lab #ArtificialIntelligence #AILeadership #EnterpriseAI #GenerativeAI #AIAgents #DigitalTransformation #FutureOfWork #TechnologyLeadership #BusinessStrategy #SaaS #Innovation #ExecutiveLeadership

    Why Most Executives Are Implementing AI All Wrong | Harry Glorikian

  2. Jul 17

    The AI Layoff Mistake Costing Scaling Companies More Than It Saves

    For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/avetisantaplyan⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ In this solo episode of The Tech Leader's Playbook, Avetis Antaplyan challenges one of the most common questions surrounding artificial intelligence: How quickly can companies replace people with AI? Instead, he argues that leaders should ask whether they are making expensive organizational decisions by overestimating what AI can accomplish without experienced people. Drawing on emerging workforce trends and examples from major technology companies, Avetis examines why some organizations now regret making deep, AI-driven staffing cuts. He explains that while AI can generate code, summarize meetings, analyze data, and accelerate administrative work, it cannot replace judgment, accountability, leadership, customer understanding, or institutional knowledge. Avetis also explores the hidden costs of AI adoption, including infrastructure expenses, governance, human oversight, rehiring, retraining, cultural damage, and the risk of repeating errors at scale. He encourages technology leaders to use AI to increase employee output rather than treating it as a blanket headcount-reduction strategy. Ultimately, the episode offers a balanced warning against both overreacting and underreacting to AI. The companies that win will not necessarily be those that eliminate the most jobs, but those that combine powerful AI tools with experienced people, disciplined decision-making, and strong leadership. Takeaways Leaders should ask how AI can improve employee output—not simply how many employees it can replace. Many companies are discovering that they cut staff too deeply or too quickly. AI can generate options, but leaders must remain responsible for decisions. Long-tenured employees carry institutional knowledge that may disappear when they leave. Rebuilding an eliminated team can cost significantly more than the original payroll savings. AI can scale excellence, but it can also repeat one mistake thousands of times. Aggressive automation can damage trust, retention, innovation, and company culture. Underreacting to AI is also dangerous; leaders need adoption without reckless organizational disruption. Chapters 00:00 The Wrong Question About AI 02:05 Companies Are Regretting AI-Driven Cuts 03:55 What AI Still Cannot Replace 05:45 The Hidden Cost of Lost Knowledge 07:45 Rehiring and Rebuilding Teams 09:55 Infrastructure, Oversight, and Errors at Scale 11:55 AI’s Impact on Trust and Culture 13:35 How the Best Companies Use AI 16:10 Productivity Is Not Replacement 17:25 What Technology Leaders Should Do 18:55 AI Exposes Average Work 20:15 The Risk of Underreacting Resources and Links: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.podcast.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/hirefasthireright⁠

    The AI Layoff Mistake Costing Scaling Companies More Than It Saves

  3. Jul 8

    The AI Adoption Pattern Tech Leaders Are Missing in Their Teams

    For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/avetisantaplyan⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ In this episode of The Tech Leader'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. 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. 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. Takeaways AI is not just another technology cycle; Ariel frames it as a new wave moving much faster than cloud, mobile, ERP, or CRM adoption. Career resilience in the AI era depends less on age and more on curiosity, tinkering, adaptability, and a willingness to learn by doing. Ariel argues that the “future of work” may become the future of earning, ownership, purpose, and belonging as traditional jobs evolve. Companies should begin AI projects with clear KPIs, measurable ROI, and an understanding of the business outcome they are trying to improve. Efficiency AI focuses on automating tedious back-office workflows, while productivity AI helps people create, decide, and execute faster. Spreadsheets are often a signal of operational gaps between systems, processes, or expectations—and can be a strong place to find automation opportunities. Automating a broken process only makes the dysfunction faster; leaders should simplify, question assumptions, and redesign workflows around outputs. Middle management and traditional project management are being reshaped into “player-coach” roles where leaders must orchestrate work and add real value. AI is powerful, but high-stakes thinking, judgment, relationship-building, and nuanced communication still require human ownership. Chapters 00:00 The Role of the COO in the AI Era 02:09 The Impact of AI on Careers and Industries 05:58 AI as a Collaborative Partner 08:11 The Future of Work and Purpose 13:53 Embracing Change and Learning 17:14 The Importance of Curiosity in the Workplace 23:02 Best Practices for AI Implementation 30:10 Navigating Career Changes in the AI Landscape 37:09 The Dangers of Multitasking in Career Development 40:03 The Impact of AI on Work Efficiency 42:27 Evolving Roles in Management and Project Oversight 49:21 The Future of Meetings and AI Integration 56:09 Identifying What's Broken in Organizational Processes 01:02:34 The Importance of Relationships in Business 01:10:21 Navigating the Future with AI and Human Collaboration Ariel Jalali’s Social Media Link: https://www.linkedin.com/in/arieljalali/ https://x.com/arieljalali Resources and Links: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.podcast.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/hirefasthireright⁠

    The AI Adoption Pattern Tech Leaders Are Missing in Their Teams

  4. Jul 3

    Why Scaling Companies Need Process Discipline More Than Heroic Employees

    For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/avetisantaplyan⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ In this solo episode of The Tech Leader's Playbook, Avetis Antaplyan records from Tokyo, Japan on the final day of a trip that sparked a powerful reflection on Japanese business culture and what American companies can learn from it. Rather than focusing only on Japan’s food, technology, or hospitality, Avetis explores the deeper “operating system” behind the country’s excellence: the philosophies, habits, and management principles that shape how people build, lead, improve, and serve. Avetis breaks down several Japanese business concepts, including Kaizen, Genchi Genbutsu, Nemawashi, Monozukuri, Omotenashi, Hoshin Kanri, and Shuhari, translating each into practical lessons for tech leaders, founders, and operators. He challenges companies to stop relying on heroic individuals and instead build systems where ordinary people can produce extraordinary results. He also emphasizes the importance of continuous improvement, process discipline, customer proximity, thoughtful alignment, craftsmanship, hospitality, strategic execution, and mastering fundamentals before innovating. This solo episode offers a grounded, insightful look at how leaders can create more scalable, thoughtful, and resilient organizations by borrowing not just Japanese products, but the principles behind them. Takeaways Small, daily improvements compound into long-term competitive advantage. Strong processes reduce the need for “heroes” who save the day through overwork or last-minute effort. Great companies create systems that help ordinary people produce extraordinary results. Leaders should get close to the actual work instead of managing only through dashboards and reports. Major decisions are stronger when leaders build alignment before making formal changes. Speed without alignment creates confusion, rework, and unnecessary resistance. Quality should not live in one department; it should be a mindset across the entire organization. Great customer and employee experiences come from anticipating friction before it happens. Strategy only matters if it connects clearly to daily execution. Innovation should come after mastering and improving the fundamentals, not before. Chapters 00:00 Recording from Tokyo and the Inspiration Behind the Episode 01:00 Japan’s Hidden Operating System for Business 01:25 Kaizen: Why Small Improvements Beat Big Ideas 02:45 Building Companies Around Continuous Improvement 03:00 Respect for Process Over Hero Culture 04:00 Creating Systems That Develop A-Players 04:15 Genshi Genbutsu: Go See the Work Yourself 05:00 Nemawashi: Building Alignment Before Big Decisions 05:45 Monozukuri: Craftsmanship, Pride, and Quality 06:35 Omotenashi: Anticipating Customer and Team Needs 07:10 Hoshin Kanri: Connecting Strategy to Daily Execution 08:20 Shuhari: Learn, Master, Then Innovate 09:45 Why Fundamentals Must Come Before Reinvention 10:35 The Big Takeaway for Tech Leaders and Operators 11:15 Why These Principles Matter More in the Age of AI 11:45 Closing Season Three and Previewing What’s Next Resources and Links: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.podcast.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/hirefasthireright⁠

    Why Scaling Companies Need Process Discipline More Than Heroic Employees

  5. Jun 24

    Why the Best Startup Founders Prioritize Action Over Certainty

    For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/avetisantaplyan⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ In this solo episode of The Tech Leader's Playbook, Avetis Antaplyan explores one of the most overlooked yet critical leadership skills: decision-making. Drawing on insights from conversations with CEOs, CTOs, founders, professional athletes, Hall of Fame coaches, and executives from companies including Apple, Google, Amazon, National Geographic, and Radical Candor, Avetis breaks down what separates exceptional leaders from everyone else. He argues that leadership success is rarely about having perfect information, superior intelligence, or flawless strategy. Instead, the leaders who consistently create momentum are those who can make sound decisions despite uncertainty. Avetis shares practical frameworks used by high-performing leaders, including Amazon's "one-way door vs. two-way door" decision model, Jeff Bezos' regret minimization framework, and the importance of principle-based decision-making. The episode also examines how AI is changing the leadership landscape. While artificial intelligence can accelerate analysis and provide recommendations, Avetis explains why human judgment, accountability, and courage remain irreplaceable. Through real-world examples and actionable leadership lessons, he challenges listeners to identify the decisions they've been avoiding and take decisive action before delays become the real obstacle to progress. Takeaways Exceptional leaders distinguish themselves through decision-making, not intelligence alone. The greatest organizational threat is often indecision, not making the wrong decision. Most leadership decisions must be made with incomplete information. Leaders are paid for their ability to navigate uncertainty and create momentum. A mediocre decision made quickly often outperforms a perfect decision made too late. Amazon's "one-way door vs. two-way door" framework helps determine when to move fast and when to proceed carefully. Great leaders commit fully after making a decision rather than remaining trapped in doubt. Principle-based decision-making allows leaders to make consistent decisions faster. Technology leaders often make the mistake of optimizing for technical perfection instead of business outcomes. AI can provide information and recommendations, but accountability and judgment remain human responsibilities. When a decision is inevitable, delaying it often causes more damage than acting on it immediately. Chapters 00:00 Why Decision-Making Separates Great Leaders 01:12 The Myth of Intelligence and Leadership Success 02:13 Why Indecision Damages Organizations 03:25 Amazon's One-Way Door vs. Two-Way Door Framework 04:38 Lessons from Hall of Fame Coach Dick Vermeil 05:15 Radical Candor and the Courage to Act 05:55 Technology Leaders and Business Outcomes 06:30 Framework #1: Speed Over Perfection 07:00 Framework #2: Regret Minimization 08:00 Framework #3: Reversible vs. Irreversible Decisions 08:55 Framework #4: Principle-Based Decision Making 09:55 Why AI Makes Judgment More Valuable 11:05 Creating Momentum Through Action 11:40 The Decisions You're Avoiding Right Now 12:10 When It's Inevitable, Make It Immediate 12:45 Closing Thoughts and Final Takeaways Resources and Links: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.podcast.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/hirefasthireright⁠

    Why the Best Startup Founders Prioritize Action Over Certainty

  6. Jun 18

    Why Startup Founders Must Build Teams That Thrive Without Them | Mike Krupit

    For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/avetisantaplyan⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ In this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Mike Krupit, a former CTO, COO, CEO, founder, executive coach, and strategic advisor, to explore what it really takes to build companies that can scale without becoming dependent on one leader. Mike shares how he grew from software engineer into executive leadership and why he believes leadership is the transferable skill that matters most. He opens up about early mistakes as a manager, including learning that leading people requires a very different skill set than solving technical problems. From there, the conversation moves into one of Mike’s core leadership philosophies: the best leaders make themselves dispensable by building strong teams, clear systems, and healthy communication habits. Avetis and Mike also discuss succession planning, founder-led sales, founder mode, emotional maturity, direct feedback, boundaries, forecasting, and why leaders must understand where profit actually comes from inside the business. Mike brings a practical, thoughtful perspective shaped by decades of operating, scaling, advising, and coaching. This episode is a valuable listen for founders, executives, and tech leaders who want to build stronger teams, remove themselves as the bottleneck, and lead through uncertainty with more clarity and discipline. Takeaways Leadership is the transferable skill that allowed Mike Krupit to move from software engineering into CTO, COO, CEO, founder, coach, and advisor roles. Great leaders do not become more valuable by making themselves indispensable. They become more valuable by building teams that can operate without them. Communication is one of the most important operating systems in a growing company, especially in remote, hybrid, or fast-changing environments. Leaders should aim to be wanted, not needed. If the business falls apart without you, that is not proof of your value. It is proof of a bottleneck. Direct feedback only works when there is trust. Leaders need to make enough relational “deposits” before they can make hard feedback “withdrawals.” Founders often get stuck because the people, processes, systems, or markets that worked at one stage are no longer strong enough for the next stage. Chapters 00:00 Introduction: Building Teams That Thrive Without You 02:19 Why Technical Skill Alone Does Not Make Someone a Great Leader 05:42 The Contrarian Case for Becoming Dispensable 08:39 Why Building a Self-Sustaining Team Creates More Opportunity 12:43 Why Communication Is Gold in Remote and Hybrid Teams 14:48 Succession Planning Before You Think You Need It 18:39 How Scalable Organizations Prevent Growth Bottlenecks 24:50 Carefrontation, Trust, and Handling Workplace Friction 27:14 Why Radical Candor Fails Without Real Trust 30:40 Emotional Maturity and the Value of Outside Perspective 36:22 Where Founders Get Stuck When Moving From Traction to Scale 38:55 The Problem With Misusing Founder Mode 45:45 Why Saying No Is an Underrated Competitive Advantage 48:14 The Not To-Do List and Getting Work Off the Founder’s Plate 50:12 Finding the Customer Segments That Actually Drive Profit 55:08 Why Leaders Need to Look Beyond Revenue 58:38 Forecasting, Scenario Planning, and Learning From Missed Targets 01:00:17 Why Quarterly Planning May Beat Annual Planning in Uncertain Markets 01:05:08 Mike’s Favorite Leadership Book and the Power of Vulnerability Mike Krupit’s Social Media Link: https://www.linkedin.com/in/mkrupit/ Mike Krupit’s Website Link: https://www.trajectify.com/mike-krupit Resources and Links: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.podcast.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/hirefasthireright⁠

    Why Startup Founders Must Build Teams That Thrive Without Them | Mike Krupit

  7. Jun 12

    Why Tech Leaders Must Eliminate Repetitive Work to Elevate Their People

    For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/avetisantaplyan⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ In this solo episode of The Tech Leader's Playbook, Avetis Antaplyan explores why AI may create more career opportunities than job losses, even as layoffs and automation dominate the headlines. Drawing from his perspective as the leader of an executive search, technology, and go-to-market recruiting consulting firm, Avetis breaks down the new roles emerging from the AI revolution and what technology leaders need to understand now. He explains why roles like Forward Deployed AI Engineers, AI Ops Leaders, and GTM Engineers are becoming critical as companies shift from simply experimenting with AI to actually implementing it in ways that drive business outcomes. Rather than viewing AI purely as a cost-cutting tool, Avetis argues that leaders should use it to create leverage, improve quality, increase speed, and elevate their teams. This episode also examines how AI amplifies top performers, widens the gap between average and exceptional talent, and forces companies to rethink hiring, training, leadership, and team design. For executives, founders, and technology leaders, this is a practical playbook for building AI-native teams without losing the human side of leadership. Takeaways AI will eliminate certain tasks and roles, but it will also create entirely new categories of work. The biggest career risk is not AI itself, but being replaced by someone who knows how to use AI better. AI does not make average performers equal to top performers; it amplifies the people who already have stronger judgment, work ethic, and learning ability. Leaders who treat AI only as a headcount reduction tool are thinking too short-term. Companies should train every employee on AI instead of limiting AI knowledge to technical teams. Organizations need to reward outcomes, not activity, while still maintaining strong quality standards. The future belongs to high-leverage teams that combine human judgment, machine intelligence, strong leadership, and operational discipline. Chapters 00:00 Why AI May Create More Jobs Than It Replaces 02:25 How Technology Waves Create New Opportunities 05:15 Forward Deployed AI Engineers and Business Outcomes 06:35 AI Ops Leaders, Governance, and Execution 07:30 Why GTM Engineers Are Becoming So Valuable 09:30 AI Rewards Top Talent and Widens the Performance Gap 11:52 Why Leaders Should Think Leverage, Not Replacement 13:00 What Companies Are Getting Wrong About AI Cost Cutting 14:17 Training Every Employee to Use AI 15:00 Rewarding Outcomes Instead of Activity 15:45 Hiring for Adaptability in the AI Era 16:43 Building AI-Native Leadership and Human-Centered Teams 17:30 Technology Redistributes Opportunity 18:20 The Real Risk: Someone Using AI Replacing You 19:09 Final Thoughts for Leaders Building Responsible AI Teams Resources and Links: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.podcast.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/hirefasthireright⁠

    Why Tech Leaders Must Eliminate Repetitive Work to Elevate Their People

  8. Jun 3

    Why Tech Leaders Should Build Categories Instead of Chasing Competitors

    For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/avetisantaplyan⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ In this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Bruce Cleveland, a venture capitalist, former CMO, Chief Executive Officer, engineering executive, author, and creator of the Market Engineering framework. Bruce has helped build and scale major technology companies including Oracle, Apple, Siebel, and C3 AI, and has invested early in companies such as Marketo, Workday, and Doximity before they became category-defining successes. The conversation explores what separates legendary technology leaders from average executives, why most startups misunderstand traction, and how market engineering can become the difference between burning capital and building enduring demand. Bruce shares behind-the-scenes lessons from working with leaders like Tom Siebel, why category creation requires naming and framing a problem, and how founders can create market appetite before pouring money into demand generation. Avetis and Bruce also discuss the future of AI, why expertise may become the ultimate moat, the rising importance of forward deployed engineers, and why product engineering alone is no longer enough. Bruce closes with insights from his books, including Traversing the Traction Gap and Market Engineering, offering founders and executives a practical roadmap for building markets that do not yet exist. Takeaways Legendary companies rarely feel obvious while they are being built. Even inside Oracle’s early days, the path forward was filled with uncertainty. Great leaders attract great talent by building a mission, culture, and problem worth committing to. Bruce’s framework starts with naming and framing the problem so the market can understand, remember, and adopt the category. The best executives build deep networks that act like external sensors, helping them “see around corners.” Bruce invested early in companies like Marketo by focusing on business problems he understood before obvious market traction existed. Startups should not confuse product-market fit with market-product fit. The market must want what the product provides. In the AI era, expertise becomes more valuable because humans still provide judgment, context, accountability, and nuanced decision-making. Chapters 00:00 Introduction to Bruce Cleveland 01:02 Lessons from Oracle’s Early Days 03:50 What Great Founders and Leaders Still Get Right 05:13 The Power and Difficulty of Category Creation 10:22 Building a Category Without an Existing Brand 13:33 Bruce’s Three-Step Category Creation Framework 18:30 Leadership Lessons from Tom Siebel 24:13 What Separates Great Executives from Average Ones 28:47 What Bruce Looks for as an Early-Stage Investor 36:19 Market Engineering vs. Demand Engineering 44:22 Testing Demand Before Overbuilding Product 53:11 Why Expertise Is the Real Moat in the AI Era Bruce Cleveland’s Social Media Link: https://www.linkedin.com/in/brucecleveland/ Bruce Cleveland’s Website Link: https://www.tractiongappartners.com/ Resources and Links: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.podcast.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/hirefasthireright⁠

    Why Tech Leaders Should Build Categories Instead of Chasing Competitors
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About

Welcome to your weekly playbook for tech leadership - where founders, executives, and innovators share real strategies for scaling smarter and leading stronger. Hosted by Avetis Antaplyan, Founder and CEO of HIRECLOUT, a global leader in technology and go-to-market recruiting and consulting.

Information

  • Creator
    Avetis Antaplyan
  • Years Active
    2023 - 2026
  • Episodes
    143
  • Rating
    Explicit
  • Copyright
    © Avetis Antaplyan
  • Show Website
    The Tech Leader's Playbook