As an extension to this model, I wrote a solver that finds the optimal allocation between the AI portfolio and the global market portfolio. I don’t think Google Sheets has a solver, so I wrote it in LibreOffice. Link to download
I don’t know if the spreadsheet will work in Excel, but if you don’t have LibreOffice, it’s free to download. I don’t see any way to save the solver parameters that I set, so you have to re-create the solver manually. Here’s how to do it in LibreOffice:
Go to “Tools” → “Solver...”
Click “Options” and change Solver Engine to “LibreOffice Swarm Non-Linear Solver”
Set “Target cell” to D32 (the green-colored cell)
Set “By changing cells” to E7 (the blue-colored cell)
Set two limiting conditions: E7 ⇒ 0 and E7 ⇐ 1
Click “Solve”
Given the parameters I set, the optimal allocation is 91.8% to the global market portfolio and 8.2% to the AI portfolio. The parameters were fairly arbitrary, and it’s easy to get allocations higher or lower than this.
As of yesterday, my position on mission hedging was that it was probably crowded out by other investments with better characteristics[1], and therefore not worth doing. But I didn’t have any good justification for this, it was just my intuition. After messing around with the spreadsheet in the parent comment, I am inclined to believe that the optimal altruistic portfolio contains at least a little bit of mission hedging.
Some credences off the top of my head:
70% chance that the optimal portfolio contains some mission hedging
50% chance that the optimal portfolio allocates at least 10% to mission hedging
20% chance that the optimal portfolio allocates 100% to mission hedging
[1] See here for more on what investments I think have good characteristics. More precisely, my intuition was that the global market portfolio (GMP) + mission hedging was probably a better investment than pure GMP, but a more sophisticated portfolio that included GMP plus long/short value and momentum had good enough expected return/risk to outweigh the benefits of mission hedging.
EDIT: I should add that I think it’s less likely that AI mission hedging is worth it on the margin, given that (at least in my anecdotal experience) EAs already tend to overweight AI-related companies. But the overweight is mostly incidental—my impression is EAs tend to overweight tech companies in general, not just AI companies. So a strategic mission hedger might want to focus on companies that are likely to benefit from AI, but that don’t look like traditional tech companies. As a basic example, I’d probably favor Nvidia over Google or Tesla. Nvidia is still a tech company so maybe it’s not an ideal example, but it’s not as popular as Google/Tesla.
As an extension to this model, I wrote a solver that finds the optimal allocation between the AI portfolio and the global market portfolio. I don’t think Google Sheets has a solver, so I wrote it in LibreOffice. Link to download
I don’t know if the spreadsheet will work in Excel, but if you don’t have LibreOffice, it’s free to download. I don’t see any way to save the solver parameters that I set, so you have to re-create the solver manually. Here’s how to do it in LibreOffice:
Go to “Tools” → “Solver...”
Click “Options” and change Solver Engine to “LibreOffice Swarm Non-Linear Solver”
Set “Target cell” to D32 (the green-colored cell)
Set “By changing cells” to E7 (the blue-colored cell)
Set two limiting conditions: E7 ⇒ 0 and E7 ⇐ 1
Click “Solve”
Given the parameters I set, the optimal allocation is 91.8% to the global market portfolio and 8.2% to the AI portfolio. The parameters were fairly arbitrary, and it’s easy to get allocations higher or lower than this.
As of yesterday, my position on mission hedging was that it was probably crowded out by other investments with better characteristics[1], and therefore not worth doing. But I didn’t have any good justification for this, it was just my intuition. After messing around with the spreadsheet in the parent comment, I am inclined to believe that the optimal altruistic portfolio contains at least a little bit of mission hedging.
Some credences off the top of my head:
70% chance that the optimal portfolio contains some mission hedging
50% chance that the optimal portfolio allocates at least 10% to mission hedging
20% chance that the optimal portfolio allocates 100% to mission hedging
[1] See here for more on what investments I think have good characteristics. More precisely, my intuition was that the global market portfolio (GMP) + mission hedging was probably a better investment than pure GMP, but a more sophisticated portfolio that included GMP plus long/short value and momentum had good enough expected return/risk to outweigh the benefits of mission hedging.
EDIT: I should add that I think it’s less likely that AI mission hedging is worth it on the margin, given that (at least in my anecdotal experience) EAs already tend to overweight AI-related companies. But the overweight is mostly incidental—my impression is EAs tend to overweight tech companies in general, not just AI companies. So a strategic mission hedger might want to focus on companies that are likely to benefit from AI, but that don’t look like traditional tech companies. As a basic example, I’d probably favor Nvidia over Google or Tesla. Nvidia is still a tech company so maybe it’s not an ideal example, but it’s not as popular as Google/Tesla.
Very cool—thanks for doing this.
I agree that EA-related resources are skewed towards the US tech sector (see Ben Todd’s recent post) and that should definitely be taken into account.