Breakfast Leadership Show
Breakfast Leadership Show

Core Competencies and AI: Building Stronger Organizations Through Purpose and Connection with Nate Amidon

05 November 2025 30:15 Michael D. Levitt

Listen to episode

About this episode

Episode Summary
In this episode of the Breakfast Leadership Show, we dive into a powerful conversation with Nate, CEO of Form 100 Consulting, an agile technology firm that hires military veterans. Together, we explore what it really means to focus on core competencies in a world obsessed with chasing trends—especially when it comes to artificial intelligence.

Focusing on What Matters
Nate emphasizes the danger of business “fluff”—initiatives that look exciting but distract from the organization’s core mission. We discuss how easily companies get pulled off track by AI hype and lose sight of what actually drives value. Both of us agree that clarity of mission and disciplined execution are what truly sustain success.

AI Implementation: Systems Before Software
We unpack why so many organizations fail at AI implementation. The core issue? Automating broken systems. Before adding automation, leaders must first understand workflows, engage the people doing the work, and align process improvements with clear outcomes. The discussion also explores lean methodology and how technology should enhance human capability—not replace it.

Automation and Efficiency
Our conversation turns to how automation affects staffing and productivity. I share insights from past downturns where organizations reduced teams but maintained output through smarter workflows. We agree that while automation can remove jobs, it can also elevate roles and help businesses grow—if it’s done with purpose. We also highlight the risk of knowledge loss as experienced workers retire, reminding leaders that efficiency must never come at the cost of wisdom.

Adaptability and Incremental Progress
We examine why even major corporations, including Fortune 500 giants, struggle to survive. Nate and I discuss the importance of adaptability, addressing constraints, and embracing incremental progress—especially when integrating AI. True transformation happens step by step, not through one big innovation.

Data-Driven Growth Without the Paralysis
I share an example of a client stuck in “analysis paralysis” due to too much data. The takeaway: data should serve decision-making, not dominate it. We explore how to build centralized systems that streamline insights and connect back to strategy. I also reference General Motors’ missteps in the 1980s as a lesson on the risks of ignoring core strengths in the pursuit of diversification.

Balancing Planning and Action
We discuss the challenge of overplanning versus underplanning. Nate explains that effective leadership requires making informed decisions without having every answer. This means building psychological safety within teams, encouraging learning through mistakes, and avoiding “level one thinking”—where leaders react rather than anticipate.

Consulting Insights and Shared Experiences
Nate shares insights about his work at form100consulting.com, helping organizations improve execution and agility. I reflect on my own consulting journey with small businesses and nonprofits, from psychotherapy practices to after-school LEGO robotics programs, and the lessons I carried from my time in the Air Force into business leadership.

Human Connection in the Age of Automation
We close with a conversation about marketing and human connection. Both of us agree that while digital platforms like LinkedIn have become saturated with automation, audiences are craving authenticity. The future of business belongs to those who bring back the personal touch—conversations, community, and genuine connection.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Breakfast Leadership Show. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.