Requiring AI before hiring: the reversed burden of proof

The context, in plain terms

On April 7, 2025, Tobi Lutke, Shopify CEO, publicly released an internal memo. It established a new hiring policy. Under this directive, teams must now demonstrate that artificial intelligence cannot perform the work. This must happen before they request additional staff or resources. CNBC and TechCrunch reported this measure as sent internally in late March 2025. It then became public in early April. Bloomberg covered the topic on April 10, 2025. It treated this as an active policy change within the company. Publicly, the exact send date of the internal memo is not established. Reports only mention a late March 2025 distribution before the April 7 publication.

At Shopify, AI before any new hire

On April 7, Tobi Lutke's memo became public. Seen from the top, the rule puts the burden of proof on managers who hire. For teams on the ground, however, this requirement reads as a new constraint. It is an added burden even before considering growth.

Facing this change, a little less than half of the simulated voices declare against the decision. About one voice in five expresses doubt. About one voice in three supports it.

The group that counts for the most in this response is Shopify merchants, about one voice in seven of the panel. This is because the decision concerns them directly.

Before this panel, an internal hiring rule at Shopify is judged first by its merchants.

When AI proof shifts the burden

What holds it back first is doubt about the execution of this new policy. The question is not so much whether AI is capable. It is how teams must prove its inability. It is also what the consequences will be in case of failure or partial success. This uncertainty creates a new form of pressure on managers and employees.

Objections center on the administrative and cognitive burden this proof demands. Shopify engineers, about one voice in seven of the panel, are among the most critical. The simulated leadership voices, also about one voice in seven and carrying the decision, see a way to rethink workflows, provided adoption is real.

On this point, the Reversed Burden of Proof lacks clarity. One can support the principle of AI without believing the justification process will be fair or effective. At Shopify, the question switches sides: AI no longer has to prove itself; the hiring manager does.

For Shopify teams, showing what AI cannot do becomes a job in itself.

The data analyst who says yes, under pressure

Amid the reservations, one voice stands out among Shopify employees. This group otherwise leans against the decision. A junior data analyst, declaring for the measure, expresses a nuanced perspective: "I’m already automating my tasks and helping others, but now the bar’s raised and I’m the ‘teacher’s pet.’" The analyst says yes and, in the same breath, says the bar has gone up.

This voice shows that AI adoption can create unexpected team dynamics. Some position themselves as pioneers. Others fear being left behind. Conversely, a seasonal customer care temp, declaring against, anticipates a future where complex, non-automatable tasks will fall to them. This comes with a risk of job loss: "The bot handles the easy tickets, leaving the complex ones for us temps, if it ‘proves’ it can handle the load, I’m out before January."

We ran the exercise three times: same answer.

In this panel, the same rule reads as recognition to some and a threat to others.

For a policy that lightens, not burdens

For a leader facing a similar decision, the key is not to settle for a mandate. One must clearly articulate proof criteria. Define roles and responsibilities in this process. Most importantly, measure the real impact on team workload. Transparency about objectives and consequences matters. This prevents the Reversed Burden of Proof from becoming a brake on innovation rather than a catalyst.

Even the simulated chief executive's voice, which declares for the decision, sets a condition: "The mandate will force teams to rethink workflows, but I need to tie adoption metrics to bonuses to avoid shallow compliance." Without follow-up and incentives, the rule risks yielding paperwork rather than adoption.

Publicly, nothing establishes that the rule is still enforced in this form. But the panel's reactions suggest finer communication on execution methods could have eased initial fears. If the memo is an AI roadmap, it must first reassure about the Reversed Burden of Proof it imposes.

The success of an AI policy at Shopify depends on managing its new burden.

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