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How AI Robots Will TAKE OVER our jobs In 5 Years ?

How AI Robots Will TAKE OVER our jobs In 5 years ? Let’s take a closer look at latest developments in AI robotics and Quantum AI.

Mélony Qin Published on March 10, 2024 0

Imagine a world where artificial intelligence (AI) automates nearly a third of all jobs by the mid-2030s. It sounds like a scenario from a distant future, doesn’t it? However, recent studies suggest that AI’s impact is closer than we might think. In fact, by 2023, about half of all tasks could be partially automated using large language models alone. Elon Musk’s warning about AI potentially leading to ‘civilization destruction’ adds to the intrigue. Does this mean AI robots will soon take over the world? In this blog post, let’s take a closer look at robotics and Quantum AI and see if we can find the answer to this question.

The most nightmare scenario I can imagine with AI and robotics is a world where robots have become so powerful that they are able to control and manipulate humans without their knowledge”
AMECA – the humanoid robot.

Table of Contents

The Paradox of AI Robotics

With the power of multimodal AI, the next natural step is to give the machine some sort of physical form. That’s where robotics comes into play.

You may have seen some robots who’re doing quite good dance moves to classic R&B. Or some humanoid Robot who can do backflips and even the wildest doggie robot on the internet . They all come from from Boston Dynamic AI Institute in Cambridge, Massachusetts.

The one’s doing backflips, called Atlas. With stereo vision and various sensors, Atlas can grab and move things around and since it has the ability to sense obstacles on its own, is good at navigating tricky landscapes. What’s impressive is that it can pick itself back up and stay balanced if it gets knocked over, so it can potentially reach somewhere that can’t be reached by humans.

Key questions of AI Robotics

In the world of robots, there’s a big question pops up: Should we design robots to resemble humans or focus on their specialization for tasks beyond human capabilities ?

Some think they should look human to fit in better, while others say they should be built for specific jobs. Companies like Tesla prefer human-like robots for a familiar touch.

Elon musk said in Tesla’s AI event in 2021 : the goal behind the creation of Tesla robot is to take over menial and dangerous tasks from human workers, which would improve safety.

While others, like Boston Dynamics focus on versatile robots like SpotMini, capable of various tasks such as inspecting sites, and handling objects. Amazon also has a 6-foot-tall robot, called Digit, that mimics human movements just like other workers. The on-site manager even tried to encouraing collaboration between humans and robots, so we could see humans and robots can actually work together.

But there is one hitch! can robots work together with humans peacefully, though ? Well, they might if they are still remotely controlled by human beings and without any disruptions from programs or cyberattacks. But, what if the robots can Think for Themselves one day ? Actually, Boston Dynamic AI Institute is researching ways for robots to comprehend and tackle complex challenges with little or even no human help.

How do LLMs help AI Robotics ?

But how ? They’ve been exploring how Large Language Models (LLMs) can assist in robotics, particularly investing in areas like reinforcement learning. This involves mainly developing in the simulation just like what they did for doggie robots and then transferring those practices to physical robots. Just imagine if they can enable machines to autonomously discover and integrate data, compared to the current method of manually designing solutions. When the physical and cognitive fit together, yeah right! That’s a self-conscious AI robot!

But something’s off… You see, when we have robust AI robots, combined with really powerful multimodal AI intelligence, just like what we saw in the Wall-E movie. People worry about robots taking over our jobs, but researchers are really trying to get them to afford more work and help humans. Even with the possibility that AI robots can gain autonomy someday, their ability is still under human control. Nothing would look like what’s in the apocalypse sci-fi movie, right ?

Well, What’s currently lacking is the backbone. So Now, let’s talk about quantum AI.

Paradox around Quantum AI

Before talking about Quantum AI. We need to talk about Quantum computing, we’re not pretending to be an expert on this, because no one can.

Key challenges in Quantum computing

In the past, traditional computers relied on binary code, where each unit represented either a 0 or a 1. This system served as the foundation of computing for decades.

However, in quantum computing, units called ‘Qubits’ can exist in both states simultaneously, presenting a significant departure from the binary nature of traditional computing.Maintaining the stability of Qubits at room temperature poses a considerable challenge, necessitating extensive research and development efforts in the field.

Despite these challenges, quantum computers hold immense potential. With a sufficient number of Qubits, they could perform computations millions of times faster than current microchip-based computers, revolutionizing various fields of technology and science.

With a sufficient number of Qubit, quantum computers have the potential to operate millions of times faster than the current fastest microchip-based computers.

Latest developments in Quantum AI

In 2019 when IBM unveiled its first circuit-based commercial quantum computer. And in December 2023, IBM released the first-ever 1,000-qubit quantum chip.

Leading tech companies like Microsoft have been building most scaled quantum computer and bring to Microsoft Azure, and Google has been advancing the state of the art quantum computing and developer tools. And other emerging players such as IonQ and D-Wave Systems in the market.

So now let’s talk about ‘Quantum AI’, Quantum computers deliver far greater efficiencies than classical computing for some optimization algorithms. Quantum AI is the use of quantum computing for the computation of machine learning algorithms.

The rise of Quantum AI

Think of it this way, Quantum computing can provide the ideal stage for machine learning by providing the right data faster. Machine learning is about computers learning from data and being able to create and understand patterns, just like the human brain does.

However, in many cases, machine learning may be constrained by the poor quality of data and the slow availability of data. Quantum computing can compute huge volumes of data quickly. So quantum AI can accelerate AI training and efficiency to help achieve results that are normally not possible to achieve with classical computers.

Google currently provides TensorFlow Quantum (TFQ), a platform for prototyping hybrid quantum-classical AI models for learning and experimentation. The future awaits. (put motion text ‘the future awaits’ on screen )

How Far We Are From the Utopian Future

So the question is, how far we’re from the utopian future? We recently had a glimpse of it from CES 2024, where we can see AI robots have already taken a huge step into the future.

Intuition Robotics showed an enhanced version of robot, ElliQ, which leverages generative AI to care for users at an older age in various activities.

And Samsung introduced a Ballie personal assistant robot, it has an onboard projector with advanced quite cool AI features such as intuitively adjusting to the preferences and needs of users.

Will AI robots take over our jobs?

Amidst all the tech advancements, there’s a question lingering: Will AI eventually replace humans in our jobs? And if so, how soon might that occur?

Indeed, AI is progressing rapidly, but currently, humans still guide its decisions in various ways. This control, at least for now, prevents AI from acting independently. Today, major companies like Google and Microsoft refer to this relationship as ‘co-piloting‘, suggesting that AI enhances human productivity. So, in a way, AI is merely a productivity tool !

This suggests that AI automation could accelerate if costs decrease rapidly enough to surpass individual human capabilities. Consider the expenses of paying human workers across different countries. It does have an impact. When even minimal wages for human workers become much costlier than using AI robots, that’s when issues arise.

But what about regulations and AI ethics? Do all countries permit AI to replace humans on such a large scale?

The question remains! For now, it’s reasonable to expect significant AI-driven job displacement, but it will likely occur gradually.

We have made a video on this topic :

Looking forward

We may not be too far from the utopian future, and soon what we envisioned in our heads will become reality. There’s nothing wrong with these technologies as long as they’re in good hands and being used for good.

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