Shopify CEO halts hiring unless teams prove AI can't do the job
Shopify CEO Tobi Lütke told staff that teams asking for more headcount or resources must first demonstrate why AI cannot do the work. Effective AI usage is now a baseline expectation at the e-commerce giant and will be baked into peer reviews, turning AI into the default benchmark before hiring humans.

If you want to add an extra seat to your team at Shopify, you now have to prove an algorithm cannot do the work first.
Shopify CEO Tobi Lütke sent an internal memo to employees late last month outlining strict new rules around headcount, as first reported by CNBC and later shared by Lütke on X. Before managers can ask for more staff or budget, they now have to demonstrate why they cannot get what they want done using AI.
AI first, humans later
In the memo, Lütke made it clear that reflexive AI usage is no longer an optional perk. It is now a baseline expectation across the entire company.
Lütke called the rise of artificial intelligence the most rapid shift to how work is done that he has seen in his entire career. He argued that using AI well is a distinct skill that can only be mastered by using it constantly.
To make sure this actually happens, Shopify is baking AI directly into company culture. Questions about how effectively employees use AI will now be included in regular performance evaluations and peer reviews.
Lütke also encouraged managers to rethink their workflows entirely by asking what their division would look like if autonomous AI agents were already working as full team members.
Why it matters
This memo shows how tech leadership is moving from polite AI encouragement to hard mandates. For employees, the message is clear: knowing how to use AI tools is no longer a bonus skill on a resume, but a direct requirement to keep your job and pass performance reviews.
We think Lütke's strategy is a ruthless but clever way to force digital transformation without waiting around for slow corporate adoption. By blocking new headcount until AI fails, teams have no choice but to push automation to its limits.
The obvious risk here is burnout and distorted incentives. When asking for help requires proving that AI cannot do the job, managers might spend more time fighting AI tools or manufacturing justifications than actually hiring the human support their teams genuinely need.
Sources (1)
- theverge.com(opens in a new tab)Originaltheverge.com