Why You Shouldn’t Panic Because AI Is Taking Over The World

A lot of people have been freaking out about AI lately (including Elon Musk, who is known to sound the alarm on Twitter). 

Some people think that we’re heading toward a robot apocalypse. But if you understand how AI works, you might agree that we should be a little less afraid. Here are 13 reasons why.

The Real Reason to be Afraid of Artificial Intelligence
AI is a powerful tool that has the potential to revolutionize many industries and solve complex problems.
There are many potential benefits of AI, such as increased efficiency, improved decision-making, enhanced safety, and greater accessibility.
However, there are also potential risks associated with AI, such as job displacement, biased decision-making, and loss of privacy.
It is important to prioritize ethical considerations when developing and using AI, and to ensure that AI is developed and deployed responsibly.
Despite concerns about the impact of AI on jobs, it is unlikely that AI will completely replace human workers. Instead, it is more likely to augment human capabilities and create new job opportunities.

1. AI is essentially a human creation

AI is not an independent entity, it’s a tool that humans use to achieve goals and solve problems. If someone asks you which “thing” created your favorite song of all time, you probably wouldn’t say the artist or the computer program that wrote it you’d say human beings did. 

The same applies to AI: it’s not sentient or alive in any way; rather, it’s just a tool that humans use to solve problems and achieve goals (and sometimes create awesome music).

AI cannot think like humans do because computers are not conscious and don’t have emotions like we do (yet). 

Humans think and make decisions by taking into account all available information relevant to our situation (e.g., what happened before this moment). 

And then processing our thoughts using our brain which consists of billions of neurons firing electrical signals at each other over synapses for us to function normally as social beings who value fairness above all else. 

Something machines cannot do yet without being given explicit instructions on how exactly they should react!

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2. Ai Is Not Intelligent

The second important thing to remember is that real, human-level intelligence is not something that any AI will ever achieve. Intelligence requires consciousness, and consciousness requires self-awareness. 

AI will never be conscious or self-aware because it does not have a soul. AI does not have free will or the ability to make choices based on written principles like ethics or morals (and even if it did, those choices would still be made by humans). 

In other words: Artificial Intelligence cannot grasp reality as humans do; it can only simulate reality.

3. But, Artificial Intelligence Could Develop Itself Through The Combination Of Machine Learning And Deep Learning

Deep learning is a subset of machine learning, which is itself a branch of artificial intelligence. To understand deep learning and its implications for humans, it’s important to understand what all those terms mean and what they don’t mean.

AI is not limited to computers programmed by developers; it’s more like an umbrella term that refers to any computer that can learn on its user data. 

For example: if you want your computer to recognize scenery in photos so it can tag them automatically, that’s machine learning; if you want it to play chess against humans without being told how that’s artificial intelligence; 

If you want it to identify fraud or predict stock market trends based on past data well then congratulations! You just wrote an algorithm with some practical applications for businesses (or perhaps even governments).

Deep learning refers specifically to the branch within AI where computers are trained using large amounts of labelled data (i.e., images labeled “cat” vs “dog”). 

Essentially all modern AI relies on deep learning algorithms at some point along their development process whether they’re self-driving cars thinking about stopping signs or speech recognition software translating human speech into text (like Siri). 

They’re all built upon deep neural networks trained by feeding them huge amounts of information until they reach near-perfect accuracy rates

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4. Super Intelligence Is Hard To Achieve Due To The Complexity Of The Brain And Body

The complexity of the human brain and body makes it difficult to emulate. The human brain consists of 100 billion neurons, which are connected in a vast network. 

The signals that pass through this network are called brain waves, and they range from very slow waves that show when we’re asleep or meditating to faster ones that occur when we’re awake. 

It’s these fast brainwaves that allow us to think clearly and make decisions but they can also lead us astray if our minds aren’t well-trained enough (for example, if you don’t know how to use math properly).

The complexity of our bodies is another hurdle for AI developers: unlike computers made with chips on silicon wafers, our bodies are made up mostly of water; living things have trillions more cells than non-living things do; humans age over time; etcetera! 

With so many variables involved in developing human intelligence artificially, there’s no reason to panic about super-intelligent machines taking over the world anytime soon.

5. Creating A Self-Conscious System May Be Impossible As Well As Undesirable

Even though AI is frequently used as a stand-in for “artificial intelligence,” there is a significant difference between computer science and consciousness. 

Computers are indeed capable of possessing some of the same traits that humans have, such as emotion or logic, but they can never truly be self-aware.

To understand why this is so, it’s important to know what self-awareness means in this context. Self-awareness refers to one’s ability to recognize oneself as an individual entity separate from other entities (or “selves”). 

This means that if you were not able to identify yourself as separate from others around you for example, by thinking about your name or facial features then technically speaking, you wouldn’t be able to possess any form of self-awareness at all.

Self-consciousness goes even further than just recognizing yourself; it entails being aware of your actions within specific contexts: who else is present at those times when these behaviors occur? 

What will others think about them? How does knowing this impact how you behave toward others? In short: Self-consciousness requires perspective for us humans (and maybe machines) alike.

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6. We Are So Far Away From Agi That It May Take Hundreds Or Thousands Of Years To Get There

In many ways, the AI we have today is a far cry from what we see in science fiction or even the robotics industry. 

When people talk about AI, they’re often referring to narrow-domain solutions that can do a specific task extremely well (like playing chess) but are not capable of general reasoning. 

Narrow-domain solutions like this are so prevalent that there’s an entire subfield of AI known as “weak AI”, which focuses on building systems that can solve problems within a narrowly defined domain.

There are also many different kinds of narrow-domain systems: some systems can play games like chess and Go; others can recognize faces; others still can help farmers pick crops or drive cars safely through traffic jams you get the picture! 

These narrow-domain solutions are all impressive in their own right but they’re also limited by human creativity and imagination. 

Because they don’t possess true intelligence (the ability to learn new things), these types of systems will never be able to create anything truly novel themselves and this doesn’t even touch on our inability to build AGI at all!

7. The Energy Needs Of An AGI Is Beyond Current Capabilities

AGI can be thought of as a “program” that enables an AI to have the properties of intelligence, such as learning and adapting to situations, making decisions, communicating with humans, etc. 

It uses large amounts of processing power because it must be able to take in vast amounts of data and process them so quickly that the resulting output appears instantaneous.

If you’ve ever used a search engine on your phone or computer before (like Google), then you’ve seen what happens when you type in a query: 

You get results almost instantly! But behind this magic lies a ton of hard work by highly trained professionals who are working hard every single day just so everyone can enjoy their AI-enabled lives without having any idea how complicated it is under the hood.

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8. The Economic Value Of AI Might Not Be Sufficient To Justify Further Research And Development Funding

As long as AI remains a specialized technology that requires large amounts of resources, it’s not going to be worth the investment for most companies.

To develop AI, you need huge amounts of data and processing power and those tend to be very expensive.

You also need human engineers who can operate or maintain your AI systems. These people are in high demand and short supply, so they’re expensive too.

And if you want to use your existing systems in new ways (such as by having them run through an autonomous car), there’s a good chance that those old systems will break down or fail when pushed out of their comfort zone so expect costs associated with maintenance and repair too!

This last part gets even more complicated if you think about replacing an old system with something newer: now you have both the expenses associated with maintaining old hardware while also paying for new software licenses and hardware upgrades!

9. The Technical Hurdles Involved In Getting To Agi Are Immense

The technical hurdles involved in getting to AGI are immense. The complexity of the brain and body, which are so much more intricate than any computer system we’ve ever created, is one challenge. 

But the difficulty of creating a self-conscious system is an even bigger one: it’s not clear how we’d build such a thing given our current level of understanding of consciousness and intelligence.

It may be that there’s no way we can build AGI without first figuring out how humans think, feel and behave but this task would be formidable on its own. 

Involves scientists from several different disciplines working together for decades or even centuries as they try to understand human nature better than anyone has before them

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10. Humans Have No Idea How To Build An AGI, Nor Do We Know If It’s Even Possible!

Let’s say you managed to build an AGI by the time you turned 50. You’ve spent years working on it and even have a team of people helping you, but no matter what you do, it doesn’t seem to be getting anywhere. Here are some of the reasons why:

  • We don’t know how we build an AGI!
  • We don’t know if we can build a sentient being!
  • We don’t know if we can give it consciousness and self-consciousness!
  • And most importantly, we don’t know how to make it superintelligent (and therefore dangerous).

11. There Currently Aren’t Enough People Working On Creating Powerful AI, And Have Limited Resources At Their Disposal To Make It Happen

You can’t make AI in a few days. You also can’t make it without a lot of resources, expertise, and time. The people who are working on creating powerful AI have a limited amount of all three, which means they are extremely busy with other things. 

They haven’t been able to focus on this area yet because it is so complicated and requires such an investment of time that they haven’t even been able to take the first steps toward creating something like this yet. 

It simply doesn’t exist at present because there aren’t enough people working on it with sufficient resources at their disposal yet either

12. Some Incredible Brains Think That Creating A Superintelligence Would Lead Us All To Ruin (Elon Musk And Stephen Hawking)

Two of the most brilliant minds of our time, Elon Musk and Stephen Hawking, have expressed concern about the future of AI. Musk has long-speculated that creating a superintelligence could lead us all to ruin.

He believes AI could be a threat to humanity. Speaking at an event hosted by MIT in 2014 he said:

“With artificial intelligence, we are summoning the demon.”

Hawking agreed with him saying “the development of full artificial intelligence could spell the end of the human race”.

13. Even If We Do Create AGI, It May Never Become Sentient Or Conscious And Therefore Pose No Threat Whatsoever To Our Species

Even if we do create AGI, it may never become sentient or conscious and therefore pose no threat whatsoever to our species

To be clear, “sentient” means that a machine can feel emotions, perceive the world around it, and understand its existence. 

The term “conscious” is used to describe how self-aware an entity is that is, whether or not it has awareness of itself as a distinct being from other entities in its environment. 

In other words: Sentience would be like an emotionless animal being able to perceive things around itself but not understanding why those things exist; consciousness would be like that same emotionless animal developing self-awareness over time (i.e., realizing that it exists).

Many researchers believe that creating artificial intelligence capable of either sentience or consciousness will require solving some fundamental problems with computer science currently known as “hard AI problems.” 

Other researchers believe there are already methods available now for creating artificial intelligence capable of either sentience or consciousness (or both).


So, the big takeaway from all of this is that you shouldn’t lose any sleep over artificial intelligence taking over the world. It just isn’t going to happen in our lifetime, or even our children’s lifetime. 

The challenges are too great and we don’t have enough people working on making it a reality! The only real threat is if someone like Elon Musk decides to take matters into his own hands and make Skynet for real.

Further Reading

For more information on the topic of AI and its impact on our lives, check out these resources:

“5 Really Obvious Reasons Why We Shouldn’t Fear AI (No Really)” by Becoming Human: This article highlights five reasons why people should not fear AI, including its ability to augment human intelligence and solve complex problems.

“Should We Be Afraid of AI?” by Forbes: This article explores the potential risks and benefits of AI, while also discussing the importance of responsible AI development and deployment.

“AI Anxiety: Will Artificial Intelligence Replace Jobs?” by BBC Worklife: This article examines the potential impact of AI on the job market, and offers insights on how individuals and organizations can prepare for the future.


What is AI and why is it important?

AI stands for artificial intelligence, which is the development of computer systems that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI is important because it has the potential to revolutionize many industries and solve complex problems in areas such as healthcare, finance, and transportation.

What are some potential benefits of AI?

Some potential benefits of AI include increased efficiency and productivity, improved decision-making and problem-solving, enhanced safety and security, and greater accessibility and convenience.

What are some potential risks of AI?

Some potential risks of AI include job displacement, biased decision-making, loss of privacy, and unintended consequences resulting from AI systems that are not properly designed, tested, or monitored.

Can AI completely replace human jobs?

While AI has the potential to automate certain tasks and processes, it is unlikely to completely replace human jobs. Instead, AI is more likely to augment human capabilities and create new job opportunities in areas such as AI development, data analysis, and customer service.

How can we ensure that AI is developed and used responsibly?

To ensure that AI is developed and used responsibly, it is important to prioritize ethical considerations such as transparency, accountability, and fairness. This can be achieved through the development of ethical guidelines and standards, as well as increased collaboration between AI developers, policymakers, and the general public.

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