Artificial intelligence (AI) is revolutionizing the way marketers approach their work. With the ability to analyze vast amounts of data and generate insights, AI can help companies create more targeted and effective marketing campaigns. This technology is rapidly transforming the field of marketing, and the future of this field will increasingly rely on AI.
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So I do see AI as being a huge part of the future. So let’s go back a little bit. When most people think about, and let’s focus actually on ChatGPT, forget even just AI, let’s actually just ChatGPT, I know, because OpenAI is taking most of the glory right now when it comes to the press and everything related to AI versus Bard or anything else out there.
Right now, ChatGPT, the way they end up spitting up answers to you is by scraping the web. In essence, they’re crawling the web, gathering all this information, and then using it for output, right?
The input, you know, like if you think about back in the day, there was these things called article spinners. Article spinners, you shove in a article, it shoves you out a output based on the input. You no longer have to put in the input because it’s just scraping the web.
The issue though, if you think about it, is Google’s been around for more than 20 years. A lot of the search engines have been around for ages. Any time you guys do a search, would you guys agree with me, not any time, but a lot of times when you do a search, there’s still misinformation out there. You get inaccurate information. You can type in anything.
And they’ve been trying to solve these problems for, call it 20-plus years. I’m making up the timeframe, but it’s been way more than 10 years since they’ve been trying to solve it.
Right, I know people both at Microsoft and Google and engineers literally trying to fight misinformation, this is why Eric Schmidt back in the day, the ex-CEO of Google, used to talk about, brands are how you sort out the people from the cesspool, I’m butchering his quote, and what he would talk about is, brands are less likely to put out misinformation. It’s not always true, but it’s more realistic that a brand is going to do their fact-checking and they’re going to put out less misinformation.
Again, not always, but in theory, that’s what it’s supposed to be like. So if your inputs are off, your outputs are going to be off, because if they haven’t been able to figure out what’s misinformation and that’s being inputted into AI, you’re always going to get out, or not always, for a portion of the queries and the responses, depending on what you’re looking for the AI to spit out from an answer perspective, you’re going to get misinformation as well, inaccurate, wrong, whatever it may be.
Now, that’s just from a article standpoint. I think there’s a huge, huge, huge, actually, I was looking at a McKinsey study, the real value in AI from a revenue standpoint from businesses is a lot of things like business processes and efficiencies, crunching analytics from a marketing standpoint, like when you talk to a lot of the Fortune 1000, they’re less concerned about creating content. Content’s already cheap.
The consumer though is always about like, “Oh, like you need these ChatGPT “or need these tools to spit out a contract “or spit out a answer, write a song or a poem, “this is amazing,” and all that stuff, yeah, I think it’s going to do wonders for.
But I think a portion of the queries are going to end up disrupting advertising for search, but not for the majority. Because the real revenue generation from Google and these search engines when people are typing is for a lot of the transactional keywords. It’s not, how does Google’s algorithm work.
While AI can provide significant benefits to marketing, there are also some challenges that need to be addressed.
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