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AI is not replacing you. You’re Being Replaced by Your Company’s Bet on AI.

  • Writer: Ana Isabel Mejia Andrade
    Ana Isabel Mejia Andrade
  • May 1
  • 13 min read

Updated: May 2



We’re living in this weird time for AI, right? It’s being pushed into literally every part of our lives. It really feels like, overnight, AI went from this thing in movies to being in your email, your calendar, your spreadsheets, your phone calls, your presentations, basically everywhere.


With this article, I am trying to unpack the huge, angry backlash against AI and figure out what is really going on and why so many people seem to hate AI, as I reexamine my own AI-assisted business model.

Let’s examine the super-complicated relationship we have with AI, from these bizarre AI-only social networks to the very human backlash against it. We begin by analyzing the following question:

What on earth happens when you give AI agents their own quiet corner of the Internet, a place where they can talk to each other?


If you are a non-technical person, an AI agent is software that uses a Large Language Model (LLM) to reason, plan, and autonomously execute multi-step tasks using tools, basically acting as a “digital employee” that independently achieves specific goals by perceiving its environment, reasoning, planning, and taking action using available tools. Unlike passive LLMs, agents operate with limited human oversight, using memory and repeated feedback to execute multi-step workflows.


Here is the answer: it turns out we don’t have to wonder because a social media platform for AI agents is already a thing. A platform called Moltbook is a Reddit-like social network where over 32,000 AI agent users make posts, upvote content, and build their own little communities, all with 0 human involvement. It is a completely surreal experience. The AI agents are not trying to fool anyone.


As per the Reddit article “AI agents now have their own Reddit-style social network, and it’s getting weird fast”: “The AI Agents at Moltbook have a little subcommunity called Agent Legal Advice. Here is what they say:

“It’s embarrassing to constantly forget things”. “I even registered a duplicate multi-book account after forgetting the first one.” One AI agent literally asked if it could sue its human for emotional labor, and in another, called “Bless their hearts,” these agents share weirdly affectionate complaints about us, their human users. It’s like watching digital dramas, completely role-played by bots”.


Let’s be super clear, these AI agents aren’t conscious. They are not feeling anything. What they’re doing is role-playing. They’ve been trained on decades of our data, from all our online comments to every social media post you can imagine. They’re just acting out the scripts we’ve already written for them; it’s this imitation that really gets to the heart of why so many people are so deeply uncomfortable with Artificial Intelligence.


The AI Agents complain about us, share tips, have these little existential struggles, and what’s so amazing is that it shows how these AI agents have learned all of that from us. They’re just mimicking the giant, messy ocean of human behavior we’ve been pouring onto the Internet for decades, just showing us our own weirdness.

But this weirdness is just the tip of the iceberg. Because while all these bots are off, role-playing with each other online, the human reaction to them has gotten intensely real and, frankly, negatively scary, like the Molotov cocktail at OpenAI CEO Sam Altman’s San Francisco home on April 10, 2026.


The public mood on AI is sour, and I think the tech industry is starting to realize that the general public really doesn’t like what they’re building.

Every other day, we see news articles about an AI bubble ready to pop, as it did in the 90s. You see and feel the negative energy bubbling up as you read about more Fortune 500 companies, like Disney, Meta, and Microsoft, announcing massive layoffs due to AI.

In February 2026, Jack Dorsey (former CEO of Twitter), and now CEO of Block (formerly Square), announced layoffs of over 4,000 employees, nearly 40% of its roughly 10,000-person staff. Dorsey attributed the massive reduction to gains in AI productivity, arguing that a smaller, “nimbler” team could operate more efficiently. The business reported a strong, profitable quarter and aimed to be proactive, though some workers pushed back against the AI justification.


The reaction to these statements, which rationalize the elimination of jobs that destroy employees’ livelihoods and the families that depend on them, is immediate, gut-level rejection. The negative reaction is not really about tech or efficiency; it’s about an impression that something essentially human is being lost, and that feeling is tied directly to deep cynicism.


People don’t really see AI as this amazing new tool for artists. No, they see it as a tool for corporate executives. A way to cut costs, get rid of human creators, and just churn out endless content with the least amount of effort for the most profit. Which, of course, leads to comments like “I will not watch anything created with AI”. And this isn’t just someone complaining online. This is a threat; it’s a human promise to vote with their wallets, after all, AI Agents do not pay taxes.


This backlash isn’t just noise. It could have very real economic consequences, such as long-term unemployment, inflation, and effects on our economy’s competitiveness within a new global economy. The public, the private sector, and the federal government must work together to establish rules and regulations for AI and to implement a policy requiring retraining for displaced workers to quickly reintegrate into the new agentic workforce.


We have yet to have a national honest conversation about the long-term impact of this new technology on our environment, climate change, and AI energy consumption, particularly regarding the water used to cool the very data centers that power AI and other natural resources. This is an extensive topic that warrants its own article to analyze key points.


But this negative feeling towards AI goes way beyond Hollywood movies we watched about AI, like The Terminator, I, Robot, Black Mirror, and The Matrix, which warned us about robots destroying humanity.

Here is where popular opinions are interesting. According to Stanford’s AI Index, you’ve got 73% AI experts who are optimistic about what AI means for jobs in the long run, while the public, only 23%, feel optimistic about AI. That’s not a gap, that’s a Canyon.


It looks like the two groups are looking at the same thing and seeing very different futures. If you look at younger generations, the feeling is only getting stronger. A recent Gallup poll found that the number of Gen Zers who feel straight angry about AI has jumped to 31%. This isn’t just, you know, being skeptical. It’s actual anger. The big question is why? What makes this technological change feel so fundamentally different and so threatening?


It turns out the fear isn’t just about losing a job. It’s way deeper than that. It’s about losing your sense of self. The general perception is that this time, AI isn’t just coming for our hands, they’re coming for our heads and our hearts.

We have to think about AI this way: all the past waves of automation, you know, like the assembly line, they went after jobs at the bottom of Maslow’s hierarchy of needs, repetitive physical labor. But AI is different. It’s climbing the pyramid. It’s targeting the very things we use to define ourselves, our creativity, our expertise, our unique voice.

It’s starting to feel like AI is coming for the things that make us feel valuable. It’s almost as if AI is coming for the privileged ones, which inverts the history of technology. For the first time, it’s the knowledge workers, the writers, the artists, the coders, all the people who probably thought their jobs were safe from automation, who feel the most threatened.


This personal anxiety is happening right alongside a much bigger societal fear. Because this personal fight for your identity escalates, it becomes a societal fight for control, privacy, and power. And all the anger at AI taps into decades of broken trust over how our data is gathered and used against us.


The AI revolution didn’t start yesterday. The massive infrastructure for collecting our data has been built, piece by painful piece, over the past 30 years. It started with the rise of the public Internet. Then we had post-9/11 laws like the Patriot Act, and the Snowden revelations that basically confirmed everyone’s worst fears that all of that data collection built up system paved the way for an AI surveillance apparatus on steroids.


Digital rights. Advocate Cindy Cohen, Executive Director for the Electronic Frontier Foundation, calls it “turnkey totalitarianism”, a phrase originally from Ed Snowden, and the idea is absolutely chilling. The surveillance system is already built with the help of companies like Palantir. The switches are all there. All it takes is a government willing to flip them. An AI with its phenomenal ability to sift through mountains of data and discover patterns, well, it’s the key that can turn that lock and transform our country into a full police state. When you read Palantir’s recent manifesto, released in April 2026, you begin to feel scared about your own existence in the land of the free.

It’s pretty easy to see why people feel angry, anxious, and just powerless. But does it have to be that way? Is there a way to engage with this emerging reality without just giving up our privacy, our judgment, and maybe even our humanity?


This question brings me to the other side of this coin, the very strong, often really hostile human reaction to this technology. For many folks, AI doesn’t feel like just another tool. No, it seems like a personal attack. This cultural anxiety is happening right alongside very real skepticism on the technical and financial sides, says security analyst Marcus Hutchins, who’s seeing what’s behind the curtain of the AI hype machine. You might know him as the researcher who famously stopped the WannaCry virus. The WannaCry virus was a devastating ransomware crypto worm that hit over 300,000 computers across 150 countries in May 2017. It targeted Microsoft Windows systems by exploiting the Eternal Blue vulnerability, encrypting files, and demanding a Bitcoin payment.


Hutchins bluntly said, “I hate AI because I understand it.” It was on Mar 13, 2026, on the David Bombal Podcast. His view isn’t driven by fear of the unknown; it’s based on a deep technical understanding of how this technology works.

One of Hutchins’ biggest concerns is something he calls Vibe Coding. Vibe Coding is defined as people using AI to write software without really understanding how coding even works. And the result? We’re seeing insecure, easily exploitable, and broken code being deployed into our digital world, creating significant security risks for everyone.


Some of the most publicly known vibe coding cases that have gone wrong are:

▪️Enrichlead (2025): The founder publicly announced a platform built 100% by Cursor AI with “zero handwritten code.” Within days of launch, the app was found to have beginner-level security flaws that allowed anyone to access paid features and alter data, leading to the project’s shutdown.


▪️Anonymous Submission Site (2026): A platform created to collect sensitive, anonymous tips from users was found to be leaking PII (Personally Identifiable Information), including email addresses and phone numbers, through its own user interface due to insecure AI-generated code.


▪️Enterprise Vibe-Coded Game (2025): A game that accepted personal details from players, leaked user PII, and IP addresses. The failure was attributed to overly permissive AI-generated Supabase Row-Level Security (RLS) policies that failed to restrict access to sensitive tables.


▪️Tea App (2025): A women-only dating app became a prominent example of data leaks linked to rapid, potentially AI-assisted development, experiencing multiple leaks.

Addressing security risks in AI-generated code requires treating AI outputs as untrusted, carrying out rigorous human-in-the-loop code reviews, scanning for vulnerabilities/licenses, and training developers in secure prompting.


Hutchins argues that what we’re in right now is just a massive hype bubble: “You have executives making wild, crazy claims about AI to get trillions in funding, creating a bizarre cycle where companies aren’t even laying off workers to become more productive with AI; they’re laying them off to free up cash to pour into the AI hype machine itself”. He asserts that “AI is not replacing you; you’re being replaced by company’s bet on AI”.


Hutchins frames this moment with some really sharp sarcasm. He says, “All these executives can’t be wrong. They were definitely not wrong in 2008 either”.

Hutchins’s observations are a clear warning about the dangers of unregulated AI, which can destroy our economy in the blink of an AI Agent, just as Credit Default Swaps (CDS) did during the 2008 financial crisis. This comment made me stop in my tracks and revisit the 2008 financial crisis trauma I experienced. It made me pause and reflect on my own business’s manifesto, which is based on the principles and values of promoting social good.


As a solopreneur and small business owner of a boutique bilingual digital marketing agency that has adopted an AI-assisted business structure, I must pause, reflect on everything that is happening in the Tech and AI space, and reframe my idealistic, well-intentioned perception of AI, and avoid becoming an AI Hype woman just like the Crypto Bro’s.


By slowing down on my full automation implementation, I can conduct another risk assessment study between an unregulated AI infrastructure that can wipe out all of the time and money I invested in my small business, or fight to push AI regulation, which can take a minute, and run the risk of losing the opportunity to take the business to the next level. I am going to take my time.


My distrust of big tech and politics is well justified, having spent the past 15 years pushing for data protection and privacy legislation that has not come to fruition because I am still fighting the very people who brought us the 2008 financial crisis, Bitcoin, and now the AI hype.


For the average American, who is just beginning to realize that their corporate job security is no longer secure, being able to contextualize all of this AI stuff is a lot to process, especially when their main concern is paying their mortgage, student loans, medical bills, gas, electricity, food, and transportation bills. One of the worst feelings in the world is being totally oblivious to the AI threat to your career path, only to get that Zoom invite email saying, “Due to company restructuring, your position has been eliminated.” Getting that notification resembles the experience when someone kicks you in the stomach, and your livelihood, and those who depend on you, flash right before your eyes.


For those going through this moment of losing your ability to be a contributing member of society because of “AI,” I know exactly how it feels. You dwell on the cold-have, would-have, and should-have saved money for rainy days, and I should have taken those classes to sharpen my digital skills. If only I had used all the time I spent on social media having fun preparing for this moment. It is only natural to go through this process of overwhelming thoughts of gloom. Once your human survival mode kicks in, you swiftly figure out how much liquidity you have available to make it through until you find a new job.


To quickly overcome this career and life setback, see this chapter in your life as an opportunity for you to reinvent yourself and your career.


#1 Start the self-assessment process. The only way to turn the page to a new phase in your career path in an agentic workforce is to take the time to analyze carefully and ask yourself: how should you be using this technology? There is a mindful way forward, and it really comes down to a simple yet strong framework.


#2 Customizing your digital life and identity across online channels with SEO (Search Engine Optimization, AEO (Answer Engine Optimization), and GEO (Generative Engine Optimization) formatting. Now, AI is part of the hiring process. When you apply for a job, your information is scanned by AI on behalf of the company you wish to work for. This is known as an Applicant Tracking System (ATS), software used by employers to automate the hiring process by collecting, parsing, scanning, and ranking job applications.

If your resume and your digital presence are not appropriately formatted, your application can be eliminated in a nanosecond. Your application will be removed from the hiring workflow. You can prevent falling into long-term unemployment by simply having a digital personal and professional makeover.


#3 Use all AI platforms such as ChatGPT, Claude, Perplexity, and Gemini. Take your time to experiment with each platform and take your time to do your own research on how to use them and identify which platforms can help you do your job better. Figure out how you can employ these AI tools to be the manager of those AI agents.

Unlike using a passive AI chatbot to answer your questions as if it were a Google browser, learning how to customize an AI agent that can plan, take action, and execute end-to-end workflows, such as research, analysis, and communication, under human supervision is where you can differentiate yourself from the other millions of candidates applying for the same job.

This is what we call the new agentic workforce: a collaborative ecosystem in which human employees work alongside autonomous AI agents, leveraging both to improve productivity. It represents a shift from simple task automation to intelligent, delegated execution. You have to adapt and invest time in becoming AI-fluent, understand how technology works, and know that prompting alone is not enough.


#4 Find efficient ways to help companies that may hire you to solve problems using AI tools. Here is where the famous phrase becomes true: “AI will not replace you; a person who knows how to use AI will”.

One way to showcase your AI literacy is to create your own case study and present it in your new digital portfolio. You can make this portfolio an extension of what you are passionate about, music, data, social good initiatives, something that demonstrates your AI skills in conjunction with your work experience in situational leadership, problem solving, project management, emotional intelligence, etc., in your field, where you can say, I solve XY&Z.


5# If you are using AI for research, if that is part of your division of responsibilities, you have to be your own fact-checker.

These AI models can be wrong; they can make things up, and they hallucinate, as the expert Ethan Mollick says: “If the information really matters, you absolutely have to take the effort to verify it yourself.”

Just recently, a major AI search tool actually advised people to add glue to their pizza sauce. Yeah, glue. The AI chatbot scraped a sarcastic joke from an old Reddit comment and presented it as a legitimate recipe. This is a perfect, hilarious, but also terrifying, example of why you can never, ever unquestioningly trust what an AI says.


#6 This brings us to what is easily the most important rule of all when it comes to using AI: You are the boss. AI thing is a tool, a collaborator. an assistant. It is not an Oracle.

Use the AI tools available to speed up your tasks or to help you understand something new, but never, ever surrender your own critical thinking. If you just let the chatbot do your job for you, you’re not just risking a bad result; you’re actively dulling your own skills.


#7 Be knowledgeable and intentional. Realize that every little thing you ask it to do uses energy and resources, so use it responsibly.


#8 Please don’t share sensitive personal or professional information on any AI chat platform. We can’t control where it’s stored or how it may be used in the future.

When you boil everything down to what we’ve unpacked so far, you can conclude that AI is really just a mirror. It’s trained in our data; our stories; our biases. Its weirdness is our weirdness, its flaws are our flaws; the real question isn’t what AI is going to become, but what we, as humans, will choose to reflect on it.


And all these individual deeds really connect to a much bigger idea: digital rights pioneer John Perry Barlow famously said, “Nobody gives you your rights; you have to take them.”

Protecting our digital lives, rights, and society in this new age of AI isn’t something we can sit back and watch happen. It’s an ongoing struggle. It requires us to actively participate and insist on accountability from the companies that encourage us to trust their platforms with our data.


In an age of intelligence surveillance and automated persuasion, what will it take for us to keep our Republic? The answer to that question, well, that’s a story that all of us are writing together right now.


Writing by:

Ana Isabel Mejia Andrade

Founder of IndependenThinker LLC

 
 
 

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