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AIVideosThe Truth About Working for Yourself in AI
AI

The Truth About Working for Yourself in AI

•December 2, 2025
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Louis Bouchard
Louis Bouchard•Dec 2, 2025

Why It Matters

Understanding the shift from employee to entrepreneur highlights the critical sales and client‑acquisition skills AI professionals need, directly affecting their ability to scale ventures and meet growing market demand for AI solutions.

Summary

The video explores the realities of transitioning from a traditional AI role within a large corporation to running an independent AI consultancy, using Shah Talebbi’s journey from a data‑scientist at Toyota to founder of an AI education community as a case study. It underscores that while the technical work—implementation, project management, and consulting—remains largely the same, the business dynamics shift dramatically when you become your own boss.

Key insights reveal that roughly one‑third of an entrepreneur’s time is devoted to client acquisition, a responsibility that salaried employees do not face because their employer serves as the “client.” As the venture scales, the founder moves from hands‑on implementation to hiring contractors and focusing on project oversight, effectively turning the role from an engineer into a salesperson. This pivot demands a blend of technical credibility and sales acumen to sustain growth.

Notable remarks include the observation that “your role starts to pivot from being an engineer to being a salesperson,” highlighting the inevitable evolution of duties as the business expands. The comparison between employee and freelancer life emphasizes the overlap in day‑to‑day tasks but draws a clear line at the constant need to secure new contracts when operating independently.

The implications are clear: AI professionals eyeing entrepreneurship must prepare for a dual‑track career that balances deep technical expertise with relentless business development. Success in the AI consulting space will increasingly depend on the ability to market services, manage client relationships, and build scalable teams, reshaping talent pipelines and influencing how AI expertise is monetized in the broader market.

Original Description

A lot of people ask what it’s actually like to work for yourself. I shared my take a few weeks ago, but it’s always refreshing to hear someone else’s lived reality. My friend @ShawhinTalebi built an incredible AI education community and now teaches full-time, just like we do at Towards AI. And his experience? Surprisingly similar to mine.
When he transitioned from being a data scientist at Toyota to becoming an entrepreneur, he realized something big: the work stays almost the same — you’re still building, managing projects, solving problems. But the job changes. Because suddenly, around 33% of your time is spent on something you never worry about as an employee: client acquisition.
As your brand and company grow, your role shifts. You move from hands-on engineering to consulting, then to managing others, and eventually… you become a salesperson. Your main job becomes finding opportunities, closing deals, and keeping the business alive.
It’s still incredibly rewarding — but it’s a different game.
I’m Louis-François, PhD dropout, now CTO & co-founder at Towards AI. Follow me for tomorrow’s no-BS AI roundup 🚀
#entrepreneurship #ai #aieducation
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