10 Artificial Intelligence Trends That Will Exist In 2030

Sep 16, 2021

By 2030, artificial intelligence is going to have a more significant impact on our everyday lives and it could contribute up to 15.7 trillion dollars to the global economy by that time. There are ten major ai trends that will likely exist in 2030.

 

1. AI Language Models Will Reach Human-Level Intelligence

According to technologist and futurist Ray Kurzweil, artificial intelligence will reach human-level performance by the year 2030. This will be determined when AI is able to successfully pass a valid Turing test.

 

2. JARVIS-Like AI Assistants Will Become Commonplace

Most people in developed countries could have AI assistants to improve the quality of their lives.

According to Peter Diamandis, founder of Singular University and other companies, services like Alexa, Google Home, and Apple HomePod will expand in functionality. They will eventually travel beyond the home and become your cognitive prosthetic 24/7. Depending on what permissions you grant to it, a secure JARVIS-like software could listen to all your conversations, read your email, monitor your blood chemistry, and so forth. With access to all of this data, this AI-enabled software would learn your preferences, anticipate your needs and behaviors, shop for you, monitor your health, and help you problem-solve in support of your mid- and long-term goals.

 

They may also exist in the form of operating systems that can connect to multiple devices—similar to what is portrayed in the movie, Her.

 

By the mid-2030s, some early adopters might begin using brain-computer interfaces to connect to their neocortexes, according to Ray Kurzweil. This will allow us to interact with AI assistants with our thoughts and bring this technology to an entirely new level.

 

3. AI-Human Collaboration Will Skyrocket Across All Professions

By 2030, AI will become a critical part of day-to-day business operations, supporting employees' creative activites, generating new ideas, and tackling previously unattainable innovations. In some places, partnering with AI will even become required.

For example, there are already excellent AI tools used within creative professions:

  • VizCom creates rendered versions of sketches you provide to it.
  • ArtBreeder creates AI-generated images that are children of the images you provide to it.
  • WordTune rearranges and optimizes sentences that you provide to it.
  • Descript is able to mimic your voice using text you provide to it after you feed it enough voice data.

 

And in the medical field, certain diagnoses might be considered malpractice if done without consultation with AI.

 

4. Most Devices Will Be Embedded With Intelligence

According to Peter Diamandis, the price of specialized machine learning chips is dropping rapidly with a rise in global demand. Specialized AI chips could reach as low as $5, which would enable affordable AI for toys, appliances, drones, video game controllers and more. This would be further made possible with the explosion of low-cost microscopic sensors and the deployment of high-bandwidth networks.

 

Also, Gartner projects that specialized chip sales for AI will grow from $8 billion in 2019 to $34 billion by 2023.

 

By 2030, children’s toys could remember faces and names using facial recognition.

And appliances could respond to voice commands using voice recognition and anticipate your needs using predictive algorithms.

 

5. Autonomous Automobiles Might Drive Better Than Humans

Because of advances in AI including Tesla’s newly introduced Dojo supercomputer, fully autonomous vehicles could be fully operational in at least some geographic areas in the next decade. Although, some experts believe that they are decades away.

 

Either way, they could lead to a gradual decrease in overall transportation costs in effected geographic areas and the gradual disruption of industries such as urban planning, delivery services, trucking, and more.

 

6. Deep Fakes Could Become Problematic In Society

Picture this: It’s two days before a close Presidential election that could dramatically impact a country for decades to come. But a controversial video clip of one of the electoral candidates surfaces and it gains millions of views on every social media platform. But, there’s a major problem with this video clip: it’s entirely made up.

 

Microsoft and Facebook have already developed tools to detect deep fakes and their origins, but the damage they could still cause should probably be taken seriously.

 

Fake video and audio clips could be published with the sole intention of exploiting peoples’ biases, fears, and suspicions. And convincing some people that a video or audio clip is actually fake could prove much tougher than many people currently expect.

 

7. AI Will Improve The Quality Of Medical Treatments

AI is currently used to understand how a person's genetics, environment and lifestyle can help determine the best approach to prevent or treat certain diseases. Digital therapeutics, custom-designed drugs, and improved diagnosis are already making treatments more accurate, affordable, and accessible.

 

Artificial intelligence is likely to be adopted as an aid rather than a replacement for human physicians. In addition to enhancing physicians' diagnoses, it will also continuously learn and improve as its used in a variety of medical situations. The continuous interaction between human physicians and AI-powered diagnostics will help to enhance the accuracy of the systems and, over time, will give humans enough confidence to let the AI system operate autonomously.

 

All of this will help humans live longer and healthier lives.

 

8. Household Robots Could Begin To Be Adopted (On A Limited Basis)

According to a report by Stanford, domestic robots could hit the market by 2030—probably at prices so high that only the most wealthy could purchase them.

 

Companies like Samsung and Toyota Research Institute have already built prototypes that can perform a variety of activities like folding laundry, cleaning dishes, and setting up dinner tables. And Tesla is set to release their own prototype early in this decade.

 

Much like Tesla cars, the AI for household robots could be continually updated from the cloud as the AI in each robot manufacturer’s data center is exposed to bigger and more diverse data sets.

 

9. AI Could Cause Massive Job Losses

Udacity CEO Gabe Dalporto told Time that one billion people will lose their jobs as a result of AI by 2030, and that the Covid-19 pandemic has only accelerated this trend. These widespread job losses could even overshadow the transition from agricultural labor during the 1900s in the United States and Europe.

 

Job functions such as automobile or truck driving, equipment operation, and law will become increasingly automated. Therefore, many of these jobs will be rendered obsolete.

 

These workers will need to retrain for new careers in order to survive. Governments will have to be proactive in creating new laws and programs to protect and reeducate this displaced workforce.

 

To make things even worse, this trend could increase inequality in societies and place more power in the hands of a few. According to the United Nations, 71% of the world's population already live in countries where inequality has grown.

 

We could see a devastating divide between people who work for algorithms and the people who design and own the algorithms.

 

However, one bright side is that jobs that rely on emotional intelligence, like sales, leadership and management are likely safe in the next decade.

 

10. China May Benefit The Most From Artificial Intelligence

China may already be spending more on R&D than the United States when it comes to artificial intelligence.

 

According to PwC, the greatest economic gains from AI will be in China and North America. The economic gains from these two countries would be equivalent to a total of $10.7 trillion and would account for almost 70% of the global economic impact.

 

Additionally, China’s huge population is helping the nation make great strides in facial recognition technology although many people have concerns with intrusions on privacy.

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