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451 points imartin2k | 1 comments | | HN request time: 0.206s | source
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spacemadness ◴[] No.44482156[source]
Having seen the almost rabid and fearful reactions of product owners first hand around forcing AI into every product, it’s because all these companies are in panic mode. Many of these folks are not thinking clearly and have no idea what they’re doing. They don’t think they have time to think it through. Doing something is better than nothing. It’s all theatre for their investors coupled with a fear of being seen as falling behind. Nobody is going to have a measured and well thought through approach when they’re being pressured from above to get in line and add AI in any way. The top execs have no ideas, they just want AI. You’re not even allowed to say it’s a bad idea in a lot of bigger companies. Get in line or get a new job. At some point this period will pass and it will be pretty embarrassing for some folks.
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recursive ◴[] No.44482638[source]
The product I'm working on is privately owned. Hence no investors. We're still in the process of cramming AI into everything.
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ryandrake ◴[] No.44483464[source]
Even if your company is privately owned, it has at least 1 investor (possibly just the founder), and this urge to cram AI is no doubt coming from him.
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const_cast ◴[] No.44483639[source]
Why are investors so stupid? I mean this genuinely. Every time I hear about investors and what they want, it seems to me like they make dumb decisions that implode on themselves.

I mean, you would think someone very rich who invests in companies would be somewhat smart. But, I'm convinced, a lot of them would do much better if they made no decisions at all and left everything up to entropy.

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1. mrandish ◴[] No.44485875[source]
> Why are investors so stupid?

Some are but many aren't. The reason so many investors are pushing on AI (or other buzz-trend du jour) is that history shows 'disruptive new technologies' tend to correlate with some startups quickly growing and becoming 'unicorn' successful. The problem is that this historical correlation appears more obvious after the fact than when it's still emerging. And of course there are lots of caveats and other requirements which a given startup and implementation may or may not meet.

Since professional VCs tend to take a portfolio approach to investing their funds on behalf of their limited partner stakeholders, they generally divide their funds into several broad 'investment themes' based on what they perceive as potentially disruptive new technologies or markets. Like roughly 30% here and 20% there with 15 or 20% left for things which don't fit a theme. This approach is supposed to ensure they don't miss out on having a few bets in each big category. In 2005 social media platforms were an important theme. In 2015 it was SaaS.