That surprises me, marketing and sales being the main user of AI, I thought the back-office automation for sure was going to be by far number 1
Generative AI is a bullshit generator. Bullshit in your marketing=good. Bullshit in your backend=bad.
> So the number 1 user is sales/marketing but it’s back office admin jobs that are most impacted?
GenAI is primarily adopted to justify mass layoffs and only secondarily to create business value. It’s the mass layoffs that drive AI adoption, not the other way around.
I read that slightly differently: the jobs “disrupted” away are customer support, generally outsourced due to their perceived low value = phone support. Basically, phone customer support is being terminated in favor of chat bots.
Think of how many ads you see and hear. From pharmaceuticals to entertainment industry ads the amount of money poured into sales and marketing is absurd. If there’s any one massively under-accounted for scourge on modern society and finance it’s ad agencies consuming huge amounts of budget, bandwidth, and just being constantly in your face. Pharma alone spends ~$20Bn on ads.
This is really interesting but it doesn’t surprise me.
AI and implementation of AI tend to be inherently good at optimizing efficiency of a system, and they can be exceptionally good at it. Look at Nvidia DLSS realtime AI upscaling for video games for example, it’s fundamentally a conventional TAA pipeline (a normally computationally expensive Antialiasing technique) that’s super boosted in efficiency by AI in only one of the steps of the pipeline, and it’s so efficient that it can be use to make image even more clear than original and in real time. And many of the actually practical machine learning systems that have demonstrated good results in scientific and engineering applications are fundamentally conventional algorithms that’s efficiency boosted so that the computation takes merely hours instead of many decades so they became practical. Not surprising the same approach can be used for business systems and give you actually good results.
But I fortunately majority of the snake oil marketing for AI products and services seem to focus on claims for generating new content with AI, which is exactly what the marketing people would want LMAO
deleted by creator
Generative AI is a bullshit generator. Bullshit in your marketing=good. Bullshit in your backend=bad.
GenAI is primarily adopted to justify mass layoffs and only secondarily to create business value. It’s the mass layoffs that drive AI adoption, not the other way around.
deleted by creator
I read that slightly differently: the jobs “disrupted” away are customer support, generally outsourced due to their perceived low value = phone support. Basically, phone customer support is being terminated in favor of chat bots.
deleted by creator
Think of how many ads you see and hear. From pharmaceuticals to entertainment industry ads the amount of money poured into sales and marketing is absurd. If there’s any one massively under-accounted for scourge on modern society and finance it’s ad agencies consuming huge amounts of budget, bandwidth, and just being constantly in your face. Pharma alone spends ~$20Bn on ads.
This is really interesting but it doesn’t surprise me.
AI and implementation of AI tend to be inherently good at optimizing efficiency of a system, and they can be exceptionally good at it. Look at Nvidia DLSS realtime AI upscaling for video games for example, it’s fundamentally a conventional TAA pipeline (a normally computationally expensive Antialiasing technique) that’s super boosted in efficiency by AI in only one of the steps of the pipeline, and it’s so efficient that it can be use to make image even more clear than original and in real time. And many of the actually practical machine learning systems that have demonstrated good results in scientific and engineering applications are fundamentally conventional algorithms that’s efficiency boosted so that the computation takes merely hours instead of many decades so they became practical. Not surprising the same approach can be used for business systems and give you actually good results.
But I fortunately majority of the snake oil marketing for AI products and services seem to focus on claims for generating new content with AI, which is exactly what the marketing people would want LMAO