Financial Coaches Network - The Podcast: Build your Financial Coaching Business
Financial Coaches Network - The Podcast: Build your Financial Coaching Business

#194: AI For Financial Coaches

01 November 2025 43:38 Joshua Escalante Troesh, Garrett Philbin, Amelie Riendl, and Emily Blain

Listen to episode

About this episode

In this episode, we dive into the evolving role of Artificial Intelligence (AI) in financial coaching and counseling. From boosting productivity to streamlining client support, AI offers exciting possibilities—but it also comes with important caveats. We unpack where AI can enhance your practice, what to watch out for, and how to get the most out of these tools without compromising quality or ethics.

Top takeaways:

  • AI isn’t always cheap: High-performing tools may have a steep price tag.
  • AI can support nearly every aspect of your work—but don’t expect magic. Results may fall short of expectations.
  • AI is more time-consuming than you may think: Effective use of AI requires thoughtful input and iterations.
  • Prompts matter: The more context you provide—your goals, strategy, and desired tone—the better the output.
  • Refinement is key: Ask for multiple options and be prepared to give feedback across several rounds.
  • Expect formulaic results: AI tends to default to generic patterns.
  • Know your sources: Understand where your AI tool pulls its information from.
  • Copyright limitations: AI-generated content may not be eligible for copyright protection.
  • Start with your systems: Review your current workflows to identify where AI could improve efficiency or effectiveness.

Tune in to learn how to use AI as a thoughtful partner—not a shortcut—in your financial coaching journey.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Financial Coaches Network - The Podcast: Build your Financial Coaching Business. 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.