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Ask HN: My CEO wants to go hard on AI. What do I do?
I'm the lead software engineer at a company building a B2B hardware/software product in the US. Great team, great technology, great PMF and good progress on revenue targets. There are lots of opportunities for how to develop the product further. It's been an extremely hard scale-up but we are finally starting to see it pay off.I'm struggling with the CEO being increasingly focussed on investing heavily in AI. I'm not opposed to using this tech at all – it's amazing, and we incorporate a variety of different ML models across our stack where they are useful. But this strategy has evolved to the point where we are limiting resource on key teams aligned with core business to invest in an AI team.The argument seems to be that they've realized the only way to achieve the next round of funding is to be "AI-first". There is no product roadmap for what this looks like, or what features might be involved, or why we'd want to do it from a product point of view. Instead the reason is that this is the only way to attract a big series C round.I'm not well-informed enough to know if this is the correct approach to scaling. Instead of working on useful, in-demand product features, it feels like we're spending a lot of time looking at a distant future that we'll struggle to reach if we take our eye off of the ball. Is this normal? Are other organizations going through the same struggle? For the first time in five years I feel completely out of my depth. Comments URL: https://news.ycombinator.com/item?id=43784656 Points: 20 # Comments: 29
I'm the lead software engineer at a company building a B2B hardware/software product in the US. Great team, great technology, great PMF and good progress on revenue targets. There are lots of opportunities for how to develop the product further. It's been an extremely hard scale-up but we are finally starting to see it pay off.
I'm struggling with the CEO being increasingly focussed on investing heavily in AI. I'm not opposed to using this tech at all – it's amazing, and we incorporate a variety of different ML models across our stack where they are useful. But this strategy has evolved to the point where we are limiting resource on key teams aligned with core business to invest in an AI team.
The argument seems to be that they've realized the only way to achieve the next round of funding is to be "AI-first". There is no product roadmap for what this looks like, or what features might be involved, or why we'd want to do it from a product point of view. Instead the reason is that this is the only way to attract a big series C round.
I'm not well-informed enough to know if this is the correct approach to scaling. Instead of working on useful, in-demand product features, it feels like we're spending a lot of time looking at a distant future that we'll struggle to reach if we take our eye off of the ball. Is this normal? Are other organizations going through the same struggle? For the first time in five years I feel completely out of my depth.
Comments URL: https://news.ycombinator.com/item?id=43784656
Points: 20
# Comments: 29