3. If we get on the AI bandwagon now we're getting in on the ground floor
4. If we don't get on the AI bandwagon now we risk being left behind
5. Now that we've invested into AI we need to make sure we're seeing return on our investment
6. Our users don't seem to understand what AI could possibly do so we should remind them so that they use the feature
7. Our users aren't opting in to the features we're offering so we should opt them in automatically
Like any other 'big, unproven bet' everyone is rushing in. See also: 'stories' making their way into everything (Instagram, Facebook, Telegram, etc.), vertical short-form videos (TikTok, Reels, Shorts, etc). The difference here is that the companies put literally tens or hundreds of billions of dollars into it so, for many, if AI fails and the money is wasted it could be an existential threat for entire departments or companies. nvidia is such a huge percentage of the entire US economy that if the AI accelerator market collapses it's going to wipe out something like ten percent of GDP.
So yeah, I get why companies are doing this; it's an actual 'slippery slope' that they fell into where they don't see any way out but to keep going and hope that it works out for them somehow, for some reason.
In the 90s I did a lot of AI research but we weren't allowed to call it AI because if you used that label your funding would instantly be cancelled. After this bubble pops we'll no doubt return to that situation. Sigh.
This sounds great actually. It seems like a fantastic revenue opportunity. We can add mandatory AI to all our products. We can then offer a basic plan that removes AI from most products, except in-demand ones. To remove it their you'll need the premium plan. There's a discount for annual subscription. You can also get the "Friends and Family" plan that covers 12 devices, but is region locked. If you go too far from your domicile, the AI comes back. This helps keep user indoors, streaming, and watching ads. Business plans will have the option to disable AI if their annual bill exceeds a certain amount. We can align this amount such that encourages typical business accounts to grow by a modest percent each year. We'll do this by setting the amount low enough that businesses are incentived to purchase but also high enough that they windup buying significant services from us. This potentially allows us to sell them services they don't need or that don't even exist, as the demand for AI free products is projected to rise in a 2-10 year timeframe.
> where they don't see any way out but to keep going and hope that it works out for them somehow, for some reason.
That's the core issue. No one wants to fail early or fail fast anymore. It's "lets stick to our guns and push this thing hard and far until it actually starts working for us."
Sometimes the time just isn't right for a particular technology. You put it out there, try for a little bit, and if it fails, it fails. Move on.
You don't keep investing in your failure while telling your users "You think you don't want this, but trust us, you actually do."
2. AI could be the next technology revolution
3. If we get on the AI bandwagon now we're getting in on the ground floor
4. If we don't get on the AI bandwagon now we risk being left behind
5. Now that we've invested into AI we need to make sure we're seeing return on our investment
6. Our users don't seem to understand what AI could possibly do so we should remind them so that they use the feature
7. Our users aren't opting in to the features we're offering so we should opt them in automatically
Like any other 'big, unproven bet' everyone is rushing in. See also: 'stories' making their way into everything (Instagram, Facebook, Telegram, etc.), vertical short-form videos (TikTok, Reels, Shorts, etc). The difference here is that the companies put literally tens or hundreds of billions of dollars into it so, for many, if AI fails and the money is wasted it could be an existential threat for entire departments or companies. nvidia is such a huge percentage of the entire US economy that if the AI accelerator market collapses it's going to wipe out something like ten percent of GDP.
So yeah, I get why companies are doing this; it's an actual 'slippery slope' that they fell into where they don't see any way out but to keep going and hope that it works out for them somehow, for some reason.