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technecat-scratchings · 2 days ago

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I know this post is older and I read it before and didn't have a reply to it then, but I have one now. If you're new here, let me begin by stating that I am (1) an ex-freelancer who pivoted into teaching (2) a proud card-carrying union member and (3) extremely anti genAI on all fronts.

I personally do not believe that trained labor of any kind should be automated, regardless of skill level. I believe that the only labor that should be automated are the things people are not able to do safely or without a great deal of hardship and tedium, and not things that people just don't want to pay for. There are many jobs we have already automated that we should not have like cashiers, waiters, and call centers, that benefit highly from trained human input, but have been cut back. The excuse people make in favor is that the jobs being replaced are "low skill" jobs. (Pfah. I worked customer service for 8 years, ain't nothin' "low skill" about it) that people "don't really want to do". Customer service can be a fulfilling job when you're treated well. The truth is that they automated it because it's cheaper to run a machine than pay a human.

And keep in mind, we're talking about automation here. The almost complete removal of human labor from the equation. Not a tool that helps with the labor or technology that lessens the stress of it, a complete replacement of the laborer. When a store gets self-check registers, they hire fewer customer service people. Self-checkout is a solution to a problem that would not have existed for the consumer if the stores would just pay fair wages and hire enough trained people to run the registers. They have 30 registers at a supermarket, so theoretically they could have 30 employees working those registers and there would barely be a line to wait in.

When you say that you don't get to yell at someone for 'hiring a handyman for $50 when your time is worth $200', you are talking about being in direct competition with a fellow skilled worker whose skill and experience is lower than yours, or even with a different expertise altogether. (Most) artists aren't fighting against other artists about whose labor is worth more. When a person uses AI to generate "artwork" instead of paying an artist to do it they are not being a less skilled artist, they are simply automating the task— removing the need to pay a trained artist at all— and completely devaluing art as a labor. And that is a valid reason to be angry.

I hope you can see where this is going: the automation of art, design, and performance is wholly unnecessary, not because it removes humanity from the art, but because it doesn't need to exist. Art is not greater than other labor because of its innate humanity, but it can't exist as art *without* the human aspect; it can only exist as an end product. So then, why did anyone think to automate making art at all? It wasn't because art is a gate-kept privilege— anyone can do art— but because it is seen as labor that is tedious to master and therefore ripe for automation. Why should you have to spend 30 years perfecting a craft when a machine can perfect it for you? When you can get results without any hard work (nevermind that those results are all the culmination of millions of other people's hard work that nobody paid a cent for)? It devalues the labor that artists do, turning it into a means to an end instead of respecting the process. This is where the issue lies. The companies creating these so-called "AI Solutions" are trying to convince the world that art is not worth the labor and therefore that artisans should not be paid. And it's not a huge leap to take that and apply it to any form of labor.

So, I don't believe that art is better or more human than other labor, but I do believe that art cannot exist without the humanity behind the labor. And at the same time I believe that most labor can, and does, benefit from "a human touch" and that no job should be automated away if the human part of it is important, regardless of how "skilled" that human needs to be. In short, all labor has value and therefore no labor should be devalued in favor of profit.

Look, I'm not gonna pretend that I don't get it, when it comes to AI. But it's like this:

In most parts of the US, a residential electrician works only on houses and apartments. They use romex wire, that yellow cable stuff. You run it from the panel to wherever it's going, staple it to the studs, then make up both ends. You need to know basic electrical code but mostly it's pretty simple. A fast learner could be a decent residential electrician inside a month.

I, on the other hand, am a union industrial electrician. I work primarily in hospitals, factories, and research labs. Most of our wire is run in steel conduit that has to be hand bent on the job, which is an art form in and of itself. We work with much higher voltages, much heavier wire, much more complicated equipment, and we need to know much more of the code. Our apprenticeship is 4-5 years and that's only enough to scratch the surface of everything an industrial electrician might do.

And yes - I absolutely get a little defensive when unknowing people compare me to a residential electrician. There's absolutely a knee-jerk impulse to declare that they're not *real* electricians, that they're merely a pale imitation of what I do. But I fight that impulse because it's a *bad impulse*. Resi still takes skill and work, it's just different than mine. We're both electricians. And it's better for us to work together to improve working conditions for all workers than to get into pissing contests about whose job is more "real". And both our jobs are in increasing danger due to the proliferation of low voltage systems that the average homeowner can install and repair without hiring a professional.

So yeah, I do get it. But it has been very, VERY insulting over the last year to hear people repeatedly say "AI was supposed to replace blue collar jobs, not *my* job! My job is ~special~ because it has ~humanity~!"

Your job is not special. It's not more important than my job and it's not more fulfilling to you than my job is to me. And I don't get to insist that everyone start building homes with steel conduit just so less skilled people can't be electricians, and I don't get to yell at people for hiring a handyman to replace an outlet for $50 when my time would be worth $200.

I absolutely understand the instinct that AI art can't be real art because people who use it didn't "earn" it, or that automating art is uniquely damaging in a way automating other jobs isn't because it's "supposed" to be about human expression. But please actually think about what you're implying and who you're throwing under the bus when you say shit like that, and whether it actually holds up to your other values or if it's just a knee-jerk reaction you need to examine.

#technecat's two cents #anti genai #anti generative ai #Remember: genAI was built entirely on stolen labor #labor: “the services performed by workers for wages as distinguished from those rendered by entrepreneurs for profits”#If you come at me with some nonsense about how no labor is good labor because we shouldn't want to work- I am going to smack you #We actually DO need people to do work for society to function #What we DON'T need is for their labor to be taken advantage of #I had this whole hypothetical about how one day they could automate any job if they had an AI analyze your labor for long enough #but that ultimately just bummed me out so I ditched it

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snehanissel · 13 days ago

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Generative AI in Social Media Marketing: Creating Viral Content at Scale

In the fast-paced world of social media, where trends shift in the blink of an eye and attention spans are shorter than a TikTok video, marketers are constantly on the hunt for ways to stand out. Enter Generative AI, a game-changer that’s revolutionizing how brands craft compelling, viral content at scale. For digital marketing professionals, this technology isn’t just a tool, it’s a creative partner that can amplify reach, engagement, and impact like never before. Let’s dive into how Generative AI is reshaping social media marketing, explore real-world applications, and uncover why every marketer should consider an AI-powered content marketing course or a Social Media Marketing with AI course to stay ahead of the curve.

The Rise of Generative AI in Social Media

Imagine having a tireless creative assistant who can churn out eye-catching Instagram captions, brainstorm TikTok video ideas, or design Pinterest-worthy graphics in seconds. That’s the power of Generative AI for digital marketing professionals. These AI models, trained on vast datasets of text, images, and videos, can generate content that feels human, authentic, and tailored to specific audiences. From crafting witty tweets to producing full-blown video scripts, Generative AI is helping brands keep up with the relentless demand for fresh, engaging content.

Take the example of a small fashion brand trying to compete with industry giants on Instagram. With limited resources, creating daily posts, Stories, and Reels can feel overwhelming. By leveraging Generative AI, the brand can generate a month’s worth of visually stunning carousel posts, complete with trendy captions and hashtags, in a fraction of the time. The AI can analyse current trends, like the resurgence of Y2K fashion, and suggest content ideas that resonate with Gen Z audiences. This scalability is a lifeline for lean teams and a competitive edge for larger ones.

But it’s not just about quantity. Generative AI ensures quality by personalizing content to match audience preferences. Tools like DALL·E for image generation or ChatGPT for text creation can adapt tone, style, and messaging to align with a brand’s voice. For instance, a fitness influencer could use AI to create motivational workout quotes that feel authentic to their followers, boosting engagement without spending hours brainstorming.

Why Viral Content Matters

In social media, virality is the holy grail. A single viral post can sky baconrocket brand awareness, drive traffic, and generate leads overnight. But crafting viral content isn’t about luck, it’s about understanding what makes audiences tick. Generative AI for digital marketing professionals excels at decoding these patterns. By analysing data from platforms like X, Instagram, and TikTok, AI can identify trending topics, hashtags, and formats that are likely to gain traction.

For example, during the 2024 Olympics, brands that jumped on the #Paris2024 hashtag saw massive engagement. Generative AI tools could have predicted this trend by analyzing real-time conversations on X and suggested content ideas like athlete-inspired Reels or patriotic memes. This ability to tap into cultural moments is what makes AI-powered content marketing so powerful. Marketers who enroll in an AI-powered content marketing course can learn how to harness these tools to spot trends early and create content that rides the wave of virality.

Real-World Applications: AI in Action

Let’s look at some practical ways Generative AI is transforming social media marketing:

Content Creation at Scale: A beauty brand launching a new product line can use AI to generate hundreds of variations of product descriptions, social media posts, and email campaigns. By inputting a few keywords like “hydrating serum” and “clean beauty,” the AI can produce Instagram captions, Twitter threads, and even blog posts that align with the brand’s ethos. This saves hours of manual work and ensures consistency across channels.

Personalized Campaigns: Generative AI can segment audiences based on demographics, interests, and behaviours, then create tailored content for each group. A travel company, for instance, could use AI to craft Instagram Stories for adventure seekers (featuring rugged hiking trails) and luxury travellers (highlighting 5-star resorts) simultaneously. This level of personalization drives higher engagement and conversions.

Visual Content Generation: Tools like MidJourney or Stable Diffusion can create stunning visuals for social media posts. A food blogger could input “vegan chocolate cake recipe” into an AI image generator and receive a mouth-watering photo to pair with their post—no photoshoot required. For digital marketing professionals, mastering these tools through a Social Media Marketing with AI course can elevate their visual storytelling game.

A/B Testing Made Easy: Generative AI can produce multiple versions of a post to test what resonates best. For example, a tech start-up could generate five different LinkedIn post headlines for a product launch, analyse performance metrics, and double down on the winner. This data-driven approach maximizes. Label ROI and minimizes guesswork.

Influencer Collaboration: AI can even assist with influencer marketing by drafting outreach emails, suggesting collaboration ideas, or generating content briefs. A fashion retailer could use AI to create a detailed brief for an influencer’s TikTok video, complete with trending audio suggestions and a call-to-action, ensuring the content aligns with the brand’s campaign goals.

These applications highlight why Generative AI for digital marketing professionals is becoming indispensable. It’s not about replacing human creativity but enhancing it, allowing marketers to focus on strategy while AI handles the heavy lifting.

The Human Touch: Balancing AI and Authenticity

One concern marketers often raise is whether AI-generated content feels “too robotic.” After all, social media thrives on authenticity, followers can spot inauthentic content from a mile away. The good news? Modern Generative AI is designed to mimic human nuances. By training on diverse datasets, AI can adopt a brand’s tone, whether it’s playful, professional, or sarcastic. However, human oversight is still crucial.

For instance, a pet food brand using AI to generate Instagram captions might get a hilarious post about “pawsome treats,” but it could also produce something slightly off-brand if not reviewed. A marketer’s role is to fine-tune AI outputs, ensuring they align with the brand’s values and resonate with the audience. This balance is a key skill taught in any robust Social Media Marketing with AI course, where professionals learn to blend AI efficiency with human intuition.

Another way to maintain authenticity is by using AI to amplify user-generated content (UGC). AI can scan customer reviews, social media mentions, or tagged photos and turn them into polished posts. A coffee shop could use AI to transform a customer’s tweet about their “best latte ever” into a vibrant Instagram Story, complete with branded graphics. This approach feels genuine because it’s rooted in real customer experiences.

Challenges and Ethical Considerations

While Generative AI offers immense potential, it’s not without challenges. Over-reliance on AI can lead to generic content that lacks originality, especially if multiple brands use the same tools without customization. Additionally, ethical concerns like copyright infringement or misinformation arise when AI pulls from unverified sources. For example, an AI-generated image might inadvertently mimic a copyrighted design, prompting legal issues.

To navigate these challenges, marketers must stay educated. An AI-powered content marketing course can teach professionals how to use AI responsibly, from verifying sources to customizing outputs. It’s also important to disclose when content is AI-generated, especially in regulated industries like finance or healthcare, to maintain transparency with audiences.

The Future of Social Media Marketing with AI

As Generative AI continues to evolve, its role in social media marketing will only grow. We’re already seeing platforms integrate AI natively, Instagram’s algorithm, for instance, uses AI to recommend content, while TikTok’s For You page is a masterclass in AI-driven personalization. In the coming years, we can expect even more sophisticated tools, like AI that generates interactive content (think AR filters or immersive Stories) or predicts virality with pinpoint accuracy.

For digital marketing professionals, staying ahead means embracing continuous learning. A Social Media Marketing with AI course isn’t just a nice-to-have, it’s a career investment. These courses cover everything from mastering AI tools to understanding data analytics, ensuring marketers can leverage AI to its fullest potential. Similarly, an AI-powered content marketing course equips professionals with the skills to create strategies that blend creativity, technology, and data.

Getting Started with Generative AI

Ready to harness Generative AI for your social media campaigns? Here are some steps to kick things off:

Explore AI Tools: Start with user-friendly platforms like Canva’s AI features for visuals or Copy.ai for text. Experiment with free trials to see what works for your brand.

Invest in Education: Enroll in an AI-powered content marketing course or a Social Media Marketing with AI course. Platforms like Coursera, Udemy, or xAI’s own resources offer programs tailored to marketers.

Test and Iterate: Use AI to generate a small batch of content, test it with your audience, and analyze the results. Refine your approach based on what performs best.

Stay Ethical: Always review AI outputs for accuracy and alignment with your brand. Be transparent about using AI when necessary.

Collaborate with AI: Think of AI as a creative partner, not a replacement. Use it to brainstorm ideas, then add your unique perspective to make the content shine.

Conclusion

Generative AI is transforming social media marketing, empowering brands to create viral content at scale while staying authentic and engaging. For digital marketing professionals, mastering this technology is no longer optional, it’s a must to stay competitive. Whether you’re generating Instagram Reels, crafting Twitter threads, or designing LinkedIn campaigns, Generative AI for digital marketing professionals offers endless possibilities. By investing in an AI-powered content marketing course or a Social Media Marketing with AI course, you’ll unlock the skills to navigate this exciting new frontier. So, why wait? Dive into the world of AI and watch your social media strategy soar.

#generative ai #technology #artificial intelligence #education #futuristic #digital marketing #marketing #entrepreneur

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