Second-order thinking on this: one big underlying problem is that AI has made building so cheap that founders no longer have to ruthlessly prioritize. When engineering was expensive, every feature had to justify its existence. Now you can build almost anything in a few hours, so it's easy to keep shipping features that don't actually move the business forward.
The result is that you end up building that's not really required. You keep adding things because you can, while ignoring the real signals from customers. We made exactly this mistake in our previous startup. We spent a lot of time building and very little time validating whether what we were building actually mattered.
Realizing business outomes from token investment feels like a bit of a stretch especially when there are many other contributors to overall business value more aligned to EBITDA across the full portfolio of AI solutions and enablers (data, workflows, CRM, ERP, security, etc.). Also, I am interested in your thoughts for how to benchmark and identify spend level most appropriate.
Interesting that the age old adage "slow down to speed up" gets proven yet again. Consumption orientation vs ROTI is an obvious thought if you are not into it but nice to have it highlighted especially when the world is going mad around token consumption
Second-order thinking on this: one big underlying problem is that AI has made building so cheap that founders no longer have to ruthlessly prioritize. When engineering was expensive, every feature had to justify its existence. Now you can build almost anything in a few hours, so it's easy to keep shipping features that don't actually move the business forward.
The result is that you end up building that's not really required. You keep adding things because you can, while ignoring the real signals from customers. We made exactly this mistake in our previous startup. We spent a lot of time building and very little time validating whether what we were building actually mattered.
Absolutely resonated provides the layers that need to be examined.
Realizing business outomes from token investment feels like a bit of a stretch especially when there are many other contributors to overall business value more aligned to EBITDA across the full portfolio of AI solutions and enablers (data, workflows, CRM, ERP, security, etc.). Also, I am interested in your thoughts for how to benchmark and identify spend level most appropriate.
Interesting that the age old adage "slow down to speed up" gets proven yet again. Consumption orientation vs ROTI is an obvious thought if you are not into it but nice to have it highlighted especially when the world is going mad around token consumption