#ai automation

[fadingfestivalbatpickle]

Is AI fr gonna steal our jobs?

Disclaimer: This post is mostly speculative and meant to encourage discussion and different perspectives on the topic.

Some time ago, I along with many others thought that AI was mostly going to aid in all the task centered, administrative, repetitive jobs. Cashiers, factory workers, call center workers, all the jobs that would benefit from automation were being taken over by AI.

When the ghibli trend came around, it was a guttural shock to many artists.

What used to generate questionable and bad looking art has now developed and is transitioning to generating high quality pieces, videos, music, animation and what not. In a matter of mere months. [AI tools example: midjourney, DALL-E, ChatGPT]

Art is not simply something pretty to look at. It is the accumulation of experiences, emotions and essense of humans. Art is their unique expression and the lens with which they see the world.

This blog is not an argument against the use of AI for art, but a call to understand what it really means.

Did most people see it coming when AI mimicked it with precision?

How long before it starts mimicking creativity, intuition, emotion and depth, all of what we thought was deeply and uniquely human?

"AI works by learning from lots of information, recognizing patterns, and using that knowledge to make decisions or do tasks like a human would." - Chatgpt.

Some time ago, the dominant argument was that AI might be able copy the strokes of a painting, the words of a novel. But it cannot hold the hands of another human and tell them all was well, it cannot feel and experience the real world like us, it cannot connect with humans and it cant innovate and envision new solutions.

If you still believe this, I urge you to go to chatgpt right now and open up to it like it was your friend. It will provide consolidation and advice tailored so well to your individual behaviours that it might feel better than talking to your bestfriend.

What is a deep neurological, experience based and emotional reaction to us is simply just analysis and application of data and patterns to AI. And the difference? Not easily distinguishable to the average human.

As long as the end result is not compromised, it doesnt matter to client and employers whether the process was human or not. Efficiency is often prioritized above substance. And now even substance is being mimicked.

Currently, the prominent discussion online is that in order to improve your job security, we need to master AI tools. Instead of fighting for stability(which is nothing but an illusion now) we need to ride the waves of the new age flooding towards us, and work with Ai instead of fighting against the change.

But the paradox is, the more we use AI the quicker it will learn from us, the quicker it will reduce the need for human guidance and supervision, and the quicker it will replace us.

Times are moving fast. We need everyone to be aware of the rate at which the world is changing and the things that are going on beneath the surface. If we simply take information at face value and avoid research, give it a few years or even months of time, and noone will know what hit us.

"Use of generative AI increased from 33% in 2023 to 71% in 2024. Use of AI by business function for the latest data varied from 36% in IT to 12% in manufacturing. Use of gen AI by business function for the latest data varied from 42% in marketing and sales to 5% in manufacturing."-Mckinsey, Mar 12, 2025.

By 2030, 14% of employees will have been forced to change their career because of- AI-McKinsey.

Since 2000, automation has resulted in 1.7 million manufacturing jobs being lost -BuiltIn

There is a radical change taking momentum right now. It's gonna be humans vs AI starting from the job aspect of the world.

Its not a matter of which jobs and skills are AI proof but which ones is AI likely to take over last.

What I predict personally, is that soon the world leaders are going to have to make a transformative choice.

This can either lead to a world where humans can be provided with money and resources instead of working to earn, as AI generates profit, and we can lay back and enjoy the things we love doing.

Or the other option is that we are going to have to live by scraps as small elite groups take over all the resources and tech.

Dystopia or utopia? The line is blurred.

Thankfully, for now, the choice is in human hands.

[aipediatools]

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[truetechreview]

Top 5 DeepSeek AI Features Powering Industry Innovation

Table of Contents1. The Problem: Why Legacy Tools Can’t Keep Up2. What Makes DeepSeek AI Unique?3. 5 Game-Changing DeepSeek AI Features (with Real Stories)3.1 Adaptive Learning Engine3.2 Real-Time Anomaly Detection3.3 Natural Language Reports3.4 Multi-Cloud Sync3.5 Ethical AI Auditor4. How These Features Solve Everyday Challenges5. Step-by-Step: Getting Started with DeepSeek AI6. FAQs: Your…

[trading-attitude]

🔥DeepSeek peut il VRAIMENT surpasser NVIDIA dans la course à l'IA?

[tmai-thatsmyai]

Discover, Learn & Embrace AI Find tools, learn skills, and join 250 million+ people making AI a part of everyday success

[phonesuite]

In this blog post, we’ll look at how automation can streamline operations and drive revenue growth across the hospitality sector—so read on to find out more!. Learn More...

[techdriveplay]

The Impact of AI on Everyday Life: A New Normal

The impact of AI on everyday life has become a focal point for discussions among tech enthusiasts, policymakers, and the general public alike. This transformative force is reshaping the way we live, work, and interact with the world around us, making its influence felt across various domains of our daily existence. Revolutionizing Workplaces One of the most significant arenas where the impact…

[jcmarchi]

AI strategies for cybersecurity press releases that get coverage

New Post has been published on https://thedigitalinsider.com/ai-strategies-for-cybersecurity-press-releases-that-get-coverage/

AI strategies for cybersecurity press releases that get coverage

If you’ve ever tried to get your cybersecurity news picked up by media outlets, you’ll know just how much of a challenge (and how disheartening) it can be. You pour hours into what you think is an excellent announcement about your new security tool, threat research, or vulnerability discovery, only to watch it disappear into journalists’ overflowing inboxes without a trace.

The cyber PR space is brutally competitive. Reporters at top publications receive tens, if not hundreds, of pitches each day, and they have no choice but to be highly selective about which releases they choose to cover and which to discard. Your challenge then isn’t just creating a good press release, it’s making one that grabs attention and stands out in an industry drowning in technical jargon and “revolutionary” solutions.

Why most cybersecurity press releases fall flat

Let’s first look at some of the main reasons why many cyber press releases fail:

They’re too complex from the start, losing non-technical reporters

They bury the actual news under corporate marketing speak.

They focus on product features rather than the real-world impact or problems they solve.

They lack credible data or specific research findings that journalists can cite as support.

Most of these problems have one main theme: Journalists aren’t interested in promoting your product or your business. They are looking after their interests and seeking newsworthy stories their audiences care about. Keep this in mind and make their job easier by showing them exactly why your announcement matters.

Learning how to write a cybersecurity press release

What does a well-written press release look like? Alongside the reasons listed above, many companies make the mistake of submitting poorly formatted releases that journalists will be unlikely to spend time reading.

It’s worth learning how to write a cybersecurity press release properly, including the preferred structure (headline, subheader, opening paragraph, boilerplate, etc). And, be sure to review some examples of high-quality press releases as well.

AI strategies that transform your press release process

Let’s examine how AI tools can significantly enhance your cyber PR at every stage.

1. Research Enhancement

Use AI tools to track media coverage patterns and identify emerging trends in cybersecurity news. You can analyse which types of security stories gain traction, and this can help you position your announcement in that context.

Another idea is to use LLMs (like Google’s Gemini or OpenAI’s ChatGPT) to analyse hundreds of successful cybersecurity press releases in a niche similar to yours. Ask it to identify common elements in those that generated significant coverage, and then use these same features in your cyber PR efforts.

To take this a step further, AI-powered sentiment analysis can help you understand how different audience segments receive specific cybersecurity topics. The intelligence can help you tailor your messaging to address current concerns and capitalise on positive industry momentum.

2. Writing assistance

If you struggle to convey complex ideas and terminology in more accessible language, consider asking the LLM to help simplify your messaging. This can help transform technical specifications into clear, accessible language that non-technical journalists can understand.

Since the headline is the most important part of your release, use an LLM to generate a handful of options based on your core announcement, then select the best one based on clarity and impact. Once your press release is complete, run it through an LLM to identify and replace jargon that might be second nature to your security team but may be confusing to general tech reporters.

3. Visual storytelling

If you are struggling to find ways to explain your product or service in accessible language, visuals can help. AI image generation tools, like Midjourney, create custom visuals based on prompts that help illustrate your message. The latest models can handle highly complex tasks.

With a bit of prompt engineering (and by incorporating the press release you want help with), you should be able to create accompanying images and infographics that bring your message to life.

4. Video content

Going one step further than a static image, a brief AI-generated explainer video can sit alongside your press release, providing journalists with ready-to-use content that explains complex security concepts. Some ideas include:

Short Explainer Videos: Use text-to-video tools to turn essential sections of your press release into a brief (60 seconds or less) animated or stock-footage-based video. You can usually use narration and text overlays directly on the AI platforms as well.

AI Avatar Summaries: Several tools now enable you to create a brief video featuring an AI avatar that presents the core message of the press release. A human-looking avatar reads out the content and delivers an audio and video component for your release.

Data Visualisation Videos: Use AI tools to animate key statistics or processes described in the release for enhanced clarity.

Final word

Even as you use the AI tools you have at your disposal, remember that the most effective cybersecurity press releases still require that all-important human insight and expertise. Your goal isn’t to automate the entire process. Instead, use AI to enhance your cyber PR efforts and make your releases stand out from the crowd.

AI should help emphasise, not replace, the human elements that make security stories so engaging and compelling. Be sure to shine a spotlight on the researchers who made the discovery, the real-world implications of any threat vulnerabilities you uncover, and the people security measures ultimately protect.

Combine this human-focused storytelling with the power of AI automation, and you’ll ensure that your press releases and cyber PR campaigns get the maximum mileage.

[corranforce]

Online Sales Funnel Mistakes and Fixes for Military Entrepreneurs

Why Your Funnel Feels Like a Leaky Bucket Have you ever felt like your online business is stuck on a treadmill? You’re doing all the things—running ads, capturing leads, even setting up fancy automations—but conversions are crawling like rush-hour traffic. The harsh reality is that you’re not broken. Your online sales funnel is there. Think of your funnel like a garden hose. If there are leaks…

[nicksblogsworld]

How Much Does It Cost to Build an AI Agent in 2025?

Curious about the cost of building an AI agent in 2025? This comprehensive guide breaks down the pricing structure, development stages, and tech requirements involved. Whether you're exploring use cases or planning full-scale deployment, this is your starting point. Discover what goes into a successful AI Agent Development Service and how to budget effectively.

[lanaemmerson]

How AI is Revolutionizing Aerospace Inspection and Quality Assurance

Artificial intelligence is rapidly transforming the aerospace industry, particularly in the field of inspection and quality control. Given the extreme precision and safety standards required in aviation and space technology, even the smallest defect can have serious consequences. AI technologies are stepping in to make inspections faster, more accurate, and more reliable than ever before.

AI-powered visual inspection systems use high-resolution imaging and machine learning algorithms to detect defects in components such as turbine blades, fuselage panels, and circuit boards. These systems can identify anomalies like cracks, corrosion, or misalignments far more efficiently than manual inspections. Unlike human inspectors, AI systems don’t fatigue or overlook subtle issues, making them ideal for high-stakes environments.

Another major benefit is predictive maintenance. AI can analyze patterns from past inspection data to forecast when a part is likely to fail, allowing engineers to address issues before they become critical. This not only improves safety but also reduces downtime and maintenance costs.

Additionally, AI enables better data collection and reporting. Inspection data can be instantly processed, stored, and compared across time, helping manufacturers and maintenance crews track performance trends and make more informed decisions.

With its ability to increase accuracy, reduce human error, and improve efficiency, AI is becoming an essential tool in modern aerospace inspection processes.

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