[funerr]

There are too many variables to predict the future. Yet, I believe that it will empower more 1-3 person businesses to compete with the big incumbents.

Imagine you could run teams of marketing/sales/support ai-agents and focus on your core business. "The next 1B, 1 Person companies".

Just 15 years ago you'd need teams of 10+ people to do basic ml tasks you could do today. Now you have an LLM or a SaaS service that outperforms those teams for the fraction of the cost.

[supriyo-biswas]

I expect such gradients to be temporary. After all, there’s nothing that stops the 100,000 person mega corp to do something with an LLM either.

[calebkaiser]

We will certainly see increased adoption at large corporations, but where LLMs will have a lasting equalizing effect is in areas where scaling has a logarithmic sort of benefit--very impactful going from 0-1, but less and less as scale increases.

To give a concrete example, if you're a standard 1-3 person business with a niche enterprise SaaS product targeting the enterprise, outbound sales is likely going to be a meaningful channel for you. Having a team of good SDRs is a huge step function for your org, and if an LLM can give you that functionality without you needing to hire, then they'll make an outsized impact on your business. However, the Google-sized org operating in your space likely already has a huge sales and marketing org. They've likely "saturated" the market in the sense that they're already engaging most of their prospects in one way or another. Adding the functionality of many SDRs via an LLM might give them some efficiency gains, but it won't unlock a new level of growth for them, nor will nullify the value the LLMs provide your smaller org.