Salary Sacrifices Are Donations. Let’s Treat Them as Such.

TLDR

  • NGOs pay less than for-profits.

  • Employees accept this because they have impact.

  • This makes employees implicit donors to the NGOs

  • NGOs should account for this in cost-effectiveness calculations

  • This is a coordination problem and can only be solved as a movement

  • Salary sacrifice is more tax-efficient than donating the money

  • This would make finding talent for pressing problems much easier

  • It is a problem EA is uniquely positioned to solve

In this post, I use “salary sacrifice” informally to mean voluntarily accepting compensation below one’s market alternative. I do not mean the formal payroll or tax arrangement called “salary sacrifice” in some jurisdictions.

Measuring impact

How do you measure your impact of working at an NGO? You could try analyzing your replaceability, but that’s hard and pretty contested. Or you could just look at the “input”—donations vs the “output”—impact, and divide it up.

For example: Let’s assume the Against Malaria Foundation managed to save one life. They did this with EUR 3000 donations raised. From those donations they paid salaries, bednets, research and evaluation.

The Against Malaria Foundation “sells” that impact to their donors. As a donor, you can “buy” one life saved for EUR 3000. AMF then pays their staff and suppliers to “produce” that life saved. What’s the impact of the employees?

I’d argue that if they would pay their employees a competitive for-profit salary in this case, the employee’s share of the input is 0. Maybe they aren’t motivated by impact, that’s why they took the full salary. They just “do their job” and produce value for their employer.

Of course that’s not the case in reality. In reality the employees often work for less. Maybe they took a paycut equal to EUR 100 for this life saved, then their “share” of this life in this case would be 1003000 = 3%.

Implications for cost effectiveness analyses

In the example above the AMF employee gets 3% of the impact, but that means that the donor only gets 97%. Yet we sold the donor on the idea that they get the full life. This might seem small but it could impact decision making for donors.

Take, for example, two fictitious animal welfare charities: One is using AI to create social media campaigns, the other uses a lot of volunteers to create social media content. Both create the same outcome − 1000 chickens saved, for the same donations—EUR 1000.

With the lens suggested here, the donor to the AI charity should get the full 1000 chickens saved attributed while in the case of the volunteer-run one, the donor only gets maybe 500 chickens attributed. So the donor should donate to the AI charity. This is good, because it incentivises the volunteers to find other opportunities where their volunteer work can create impact that can’t be had with AI, for example with in person campaigns.

This is a coordination problem

I’ve recently talked with a charity founder: Their cost effectiveness was lower than that of their “competitor” because their competitor paid themselves a lower salary. This is a race to the bottom that is unhealthy for the movement.

I’d love for the EA movement to find a way to benchmark salaries to industry standards, and then make it voluntary and optional for employees to decide how much of that to “donate back” to the charity. This would have lots of advantages

  1. It would attract talent that otherwise would’ve been inaccessible because that talent wouldn’t have been willing to take as big of a sacrifice.

  2. It would allow less privileged groups to join the charity world that otherwise just wouldn’t have the means to take paycuts like this.

  3. It would give employees a tangible measure to estimate how much impact they are having with their job.

  4. It would avoid discussions like here whenever NGOs decide to pay market-rate salaries

The problem is, of course, that this can’t be done by one charity alone. This would negatively impact their cost effectiveness when compared to others. Best thing to try probably is for large donors to start requiring this from their charities and thereby change the standard. For that the donors need to accept that their reported impact will go down.

First steps are being made. For example, 80,000 hours lists salary sacrifice from their employees on their website for those that decide to give beyond the sacrifice made by everybody already because they are pegged to NGO benchmarks.

Salary sacrifices are tax efficient

One might ask: If we start offering employees for-profit-like salaries, why would they then donate that to their own charity? They could donate it somewhere where it has a higher marginal impact, or even keep it.

On the one hand, that doesn’t matter, because it won’t make a difference for the cost effectiveness analysis of the charity towards their donors, that’s the whole point.

On the other hand, salary sacrifices are actually pretty tax efficient:

  • Because your sacrificed income never makes it to payroll, you can give tax-free more than your country’s tax-free cap would allow.

  • You also automatically “donate” the employer overhead cost (social security, pension, …), but of course then will have less pension.

  • Check for your local jurisdiction. For UK-based gift-aid for example the story might be a bit different.

What does this mean for career choice?

If the contribution of an employee at an NGO is simply their sacrificed salary, can’t they then just earn to give and have more impact? I would say they totally should. If they have a comparably better personal fit there.

Salary should be a rough guide for where your skills can contribute the most, and if we would use market-rate salaries for NGOs, this would increase signal even more.

So far, organizations like 80,000 hours, High Impact Professionals, and others had to solve a dual-problem: Find the best talent for the most pressing problems and make sure they are willing to take pay cuts. That’s an unnecessarily hard combination.

If we would start paying market rates (which can be very very high for in demand AI jobs or biorisk jobs), we could split these efforts into two: Find the best talent for the biggest problems, not matter their motivations, and motivate everybody to give, no matter their talents.

What’s there to lose?

We are selling to donors more impact than what they are getting for their money by not including salary sacrifices. But that’s what everybody is used to now. “Marking down” the impact is a hard sell.

But EA is a not an average donor community. We strive on estimation and attribution and if there is one that could fix this quantification gap, it’s us. I’d love to see more discussion on this, also happy to be proven wrong of course!