Logan Currie
Cofounder + COO at Careerspan
Technology
Education: University of Pennsylvania - Harvard
Boston, MA, USA
Biography
I just completed my master's at Harvard, focusing on Learning Design, Innovation, and Technology. I works at the intersection of AI, learning, and the future of work—specifically helping people navigate their careers in an era of rapid technological change. Through my research and company Careerspan, I explore how professionals can build and communicate their unique value in an AI-shaped world.
Passion
Dissecting people's tech stacks and hearing how they've MacGyvered their workflows. There's something magical about discovering someone's secret productivity sauce—whether it's a brilliant Notion setup, an unexpected AI tool combo, or a completely analog system that just works. Every person's approach tells a story about how they think and work.
Best Story
"There's no such thing as a plan that goes to plan." I moved to Asia with a backpack and a six-month teaching plan. Thirteen years later, I returned with a husband, two children, and a golden retriever. The lesson? The best growth happens when you make yourself uncomfortable enough to learn, adapt, and discover opportunities you never saw coming.
Origin Story
I accidentally became an expert in reinvention by working across five countries and constantly starting from scratch—building new networks, learning new systems, and communicating my value in completely different contexts. After over a decade of solving this challenge for myself, I realized it's the exact skill everyone will need in the next ten years. That obsession led to Careerspan and my mission to help people get excited about the opportunities ahead, even when change feels scary.
Example talks
"The Future of Career Readiness: What We Owe Emerging Professionals (and What They Need)"
Subject: Career Development & Skills Signaling in the AI Era
Description:Traditional definitions of "career readiness" are breaking down. AI is automating entry-level work, resumes have lost credibility as skill proxies, and emerging professionals—especially career changers, Gen Z workers, and those without elite networks—struggle to be seen by employers.
Drawing from Harvard research and real-world experience designing career development tools, Logan introduces Career IP: a framework for building, protecting, and signaling expertise over time. This isn't just about what someone has done—it's about what they're capable of next.
The session explores what today's emerging professionals actually need to thrive: methods for surfacing transferable skills, tools for narrating value across nontraditional career paths, and strategies for building visibility without relying solely on credentials.
Key Takeaways:
- Redefine "readiness" beyond traditional resume metrics
- Build portable Career IP that travels across roles and industries
- Help emerging professionals surface hidden strengths and transferable skills
- Create systems that reward capability over credentials
Target Audience: Higher education professionals, HR leaders, career coaches, workforce development programs, and organizational leaders rethinking talent assessment and development for the next generation.
Level: Intermediate (designed for professionals already working in career development, education, or talent management)
Format Options: 45-60 minute keynote with interactive elements or 90-minute workshop including Career IP mapping exercises
"Curiosity → Capability: How Professionals Actually Learn AI"
Subject: AI Adoption & Professional Development
Description:Based on my Harvard research 100+ professionals, this talk reveals the hidden psychology behind successful AI adoption in the workplace. I share my "AI Learning Loop" framework—a four-stage process that transforms AI dabblers into power users who drive real business value.
Attendees will discover why 80% of professionals get stuck in "completion mode" (just getting tasks done) while top performers reach "development mode" (building lasting capabilities). The session includes live demonstrations of professional AI workflows and practical tools for fostering deeper adoption across teams.
Key Takeaways:
- Spot the psychological blockers preventing effective AI adoption
- Apply the four-phase Learning Loop to accelerate skill development
- Design workplace conditions that nurture intrinsic motivation for AI learning
- Launch 90-day "AI skill sprints" that stick
Target Audience: Corporate L&D leaders, HR professionals, team managers, and professional development coordinators looking to move beyond basic AI training toward sustained capability building.
Level: Intermediate (assumes basic familiarity with AI tools but focuses on the human psychology of adoption rather than technical implementation)
Format Options: 45-60 minute keynote or 90-minute interactive workshop with live AI tool demonstrations
Featured Video
I am willing to travel
More than 100 miles
When it comes to payments
Everything is negotiable
Topics
Best Story
"There's no such thing as a plan that goes to plan." I moved to Asia with a backpack and a six-month teaching plan. Thirteen years later, I returned with a husband, two children, and a golden retriever. The lesson? The best growth happens when you make yourself uncomfortable enough to learn, adapt, and discover opportunities you never saw coming.
Origin Story
I accidentally became an expert in reinvention by working across five countries and constantly starting from scratch—building new networks, learning new systems, and communicating my value in completely different contexts. After over a decade of solving this challenge for myself, I realized it's the exact skill everyone will need in the next ten years. That obsession led to Careerspan and my mission to help people get excited about the opportunities ahead, even when change feels scary.
Example talks
"The Future of Career Readiness: What We Owe Emerging Professionals (and What They Need)"
Subject: Career Development & Skills Signaling in the AI Era
Description:Traditional definitions of "career readiness" are breaking down. AI is automating entry-level work, resumes have lost credibility as skill proxies, and emerging professionals—especially career changers, Gen Z workers, and those without elite networks—struggle to be seen by employers.
Drawing from Harvard research and real-world experience designing career development tools, Logan introduces Career IP: a framework for building, protecting, and signaling expertise over time. This isn't just about what someone has done—it's about what they're capable of next.
The session explores what today's emerging professionals actually need to thrive: methods for surfacing transferable skills, tools for narrating value across nontraditional career paths, and strategies for building visibility without relying solely on credentials.
Key Takeaways:
- Redefine "readiness" beyond traditional resume metrics
- Build portable Career IP that travels across roles and industries
- Help emerging professionals surface hidden strengths and transferable skills
- Create systems that reward capability over credentials
Target Audience: Higher education professionals, HR leaders, career coaches, workforce development programs, and organizational leaders rethinking talent assessment and development for the next generation.
Level: Intermediate (designed for professionals already working in career development, education, or talent management)
Format Options: 45-60 minute keynote with interactive elements or 90-minute workshop including Career IP mapping exercises
"Curiosity → Capability: How Professionals Actually Learn AI"
Subject: AI Adoption & Professional Development
Description:Based on my Harvard research 100+ professionals, this talk reveals the hidden psychology behind successful AI adoption in the workplace. I share my "AI Learning Loop" framework—a four-stage process that transforms AI dabblers into power users who drive real business value.
Attendees will discover why 80% of professionals get stuck in "completion mode" (just getting tasks done) while top performers reach "development mode" (building lasting capabilities). The session includes live demonstrations of professional AI workflows and practical tools for fostering deeper adoption across teams.
Key Takeaways:
- Spot the psychological blockers preventing effective AI adoption
- Apply the four-phase Learning Loop to accelerate skill development
- Design workplace conditions that nurture intrinsic motivation for AI learning
- Launch 90-day "AI skill sprints" that stick
Target Audience: Corporate L&D leaders, HR professionals, team managers, and professional development coordinators looking to move beyond basic AI training toward sustained capability building.
Level: Intermediate (assumes basic familiarity with AI tools but focuses on the human psychology of adoption rather than technical implementation)
Format Options: 45-60 minute keynote or 90-minute interactive workshop with live AI tool demonstrations