I spotted this and needed to revisit the topic.
In an internal meeting, Amazon SVP Mike Hopkins stated “no data either way” to support the company’s decision to mandate working from the office. Despite Amazon’s reputation for data-driven decision-making, Hopkins emphasized the importance of being in the office for collaboration and cited Amazon’s “disagree and commit” leadership principle. The return-to-office mandate has caused frustration among some Amazon employees, with some questioning the decision and accusing the company of intentionally hiding data.
Employers are increasingly hiring part-time employees, temps, independent contractors, and outsourced positions instead of offering traditional full-time employment. McKinsey estimates that independent workers now comprise 36% of the workforce, up from 27% in 2016.
Comprehensive research on the topic is catching up, per Nick Bloom, a Stanford economics professor, who believes the topic of remote work will be less controversial in five years. Two of his colleagues recently published a working paper on the subject. Among the findings — that although fully remote work has been correlated with a drop in productivity, hybrid work (which occurs widely in white-collar fields such as tech and business services) was not linked to any productivity loss—and could help with recruitment and retention.
Why do we care?
Shifting away from full-time employment could hurt employers in the long run and leave workers without job security and benefits.
But the topic of remote work is without the same data. As someone who is data-driven, it’s important to acknowledge that, and in a culture like Amazon’s – or perhaps your own – that is data-driven, ambiguity is a significant challenge. There isn’t one solution here that fits everyone. What is most challenging is hiding behind a mushy edict without juistification, and then not expecting to be called out on it with those who disagree.