AI Deception: How Tech Companies Are Fooling Us

ColdFusion
15 Apr 202418:58

Summary

TLDRThe video discusses the hype and reality of AI technology, drawing parallels with historical hoaxes like the Mechanical Turk. It highlights the misleading advertising and overpromises by companies about their AI capabilities, often relying on human labor behind the scenes. The script also explores the impact of AI on jobs, with examples of both failed AI implementations and its potential to replace human workers, emphasizing the need for a balanced view of AI's role in society and its development.

Takeaways

  • 🎭 The Mechanical Turk, a famous 18th-century hoax, highlights the historical tendency to overstate technological capabilities.
  • 📈 In 2016, Amazon's 'Just Walk Out' technology was marketed as an AI-powered checkout system, but it relied heavily on human labor for accuracy.
  • 💡 The overuse of the term 'AI' in advertising can lead to inflated expectations and potential disappointment when the technology does not meet these expectations.
  • 🌐 AI washing is a concern, where companies mislead about the capabilities or use of AI in their products, leading to distrust and potential legal consequences.
  • 💼 The hype around AI has led to a significant increase in corporate investments, with a sevenfold increase from 2015 to 2022.
  • 📉 The AI industry may be following the Gartner hype cycle, suggesting a peak of inflated expectations followed by a trough of disillusionment.
  • 🚀 Despite the hype, there are real-world applications of AI that have the potential to transform industries, but the timeline for these applications may be uncertain.
  • 🤖 AI has the unique ability to mimic cognitive labor, which could lead to significant changes in the job market and the way work is done.
  • 💬 There have been notable AI failures, such as customer service chatbots providing incorrect or inappropriate responses, and AI-generated content causing embarrassment or harm.
  • 🔄 The narrative of AI creating more jobs than it replaces is being questioned, as major tech companies continue to lay off employees, potentially due to the integration of AI.
  • 🌟 While there are concerns about the overpromise and underdelivery of AI, there are also successful integrations of AI that are driving innovation and efficiency.

Q & A

  • What was the Mechanical Turk and how was it later revealed to be a hoax?

    -The Mechanical Turk was a machine built by Hungarian author and inventor Wolfgang von Kempelen in 1770, which appeared to play chess automatically. It was demonstrated in Europe and supposedly won most of its games against human players. However, it was later revealed to be a hoax, with a human operator secretly controlling the machine from underneath the table.

  • How did Amazon's Just Walk Out technology compare to the Mechanical Turk in terms of being a hoax?

    -Amazon's Just Walk Out technology, launched in 2016, allowed customers to grab items from a store and leave without manually scanning their purchases. The system used AI to handle transactions and logistics behind the scenes. However, it was later revealed that the technology was not as autonomous as advertised, with a thousand people in India manually reviewing and labeling videos to ensure accurate checkouts, similar to the Mechanical Turk's hidden operator.

  • What is AI washing and how does it manifest in the industry?

    -AI washing is a term used when companies create a fake buzz and mislead investors or consumers by providing manipulative or false information about the capabilities, limitations, or risks of their AI products. This can involve exaggerating the use of AI or outright lying about how and when AI is being utilized in their products or services.

  • What is the significance of the Gartner hype cycle in relation to AI development?

    -The Gartner hype cycle describes the pattern of human reaction to new, revolutionary technologies. It suggests that there is an initial phase of inflated expectations, followed by a trough of disillusionment. In the context of AI, the cycle helps to understand that while there is a lot of hype and overestimation of AI's current capabilities, the technology will eventually mature and find its real-world applications after the hype fades.

  • What are some examples of AI failures mentioned in the script?

    -The script mentions a few AI failures: a parcel delivery firm's AI chatbot that provided irrelevant answers and swore at a customer; academics using AI-generated material in a complaint to the Australian government, which included false information; and AI-generated images of animals with noticeable flaws.

  • How has AI impacted the job market according to the script?

    -The script suggests that AI has led to job losses in the tech industry and beyond. Despite companies claiming that AI would act as an assistant and create new jobs, there have been significant layoffs, with tech companies shedding workers even when they are making record profits. AI is being integrated into operations, leading to more efficient teams and structures, which can result in fewer human workers being needed.

  • What is the current state of AI in relation to the Gartner hype cycle?

    -According to the script, AI is currently at the closing stages of the peak of inflated expectations in the Gartner hype cycle and is slowly entering the trough of disillusionment. This suggests that while there is a lot of hype around AI, there will be a period of disappointment and reevaluation ahead.

  • What does the script suggest about the future of AI and its impact on jobs?

    -The script suggests that while AI has the potential to create new jobs and positively impact GDP, there is also a significant risk of job displacement, particularly for lower wage workers and those in customer service, sales, and office support roles. It emphasizes the importance of adapting to the changing job market and acknowledges that some jobs will be at risk regardless.

  • How does the script address the issue of AI replacing human jobs?

    -The script discusses the narrative that AI will not replace humans but rather empower them, acting as an assistant. However, it also presents the reality that AI is leading to job losses, with companies using AI to create more efficient operations that require fewer human workers. It highlights the need for a cautious approach to AI's impact on the workforce.

  • What is the role of data brokers in the misuse of AI?

    -Data brokers play a role in the misuse of AI by selling personal information to robocallers and scammers, which allows AI to generate convincing texts, emails, and robocalls aimed at tricking individuals. Companies like Aura work to help individuals opt-out from being sold to data brokers, thus mitigating some of the negative impacts of AI in this context.

  • What is the script's perspective on the potential of AI?

    -While the script acknowledges the current limitations and overhyped promises of AI, it also recognizes the exponential progress made in the field over the past decade. It suggests that despite current challenges, AI has the potential to continue advancing and bring about significant positive changes once it overcomes the current bottlenecks in compute and efficiency.

Outlines

00:00

🤖 The Hype and Hoax of AI Technology

This paragraph discusses the historical context of AI as a buzzword and the tendency of companies to exaggerate its capabilities. It begins with the story of the Mechanical Turk, a famous 18th-century hoax, and compares it to modern-day instances where companies like Amazon have been accused of misleading the public about the true extent of AI integration in their systems. The paragraph highlights the issue of companies overhyping AI technology without delivering on their promises, leading to customer distrust and potential negative impacts on the reputation of the AI industry.

05:02

💡 The Dangers of AI Washing and Misrepresentation

The second paragraph delves into the concept of AI washing, where companies create a false impression of their AI capabilities to attract investors and customers. It cites statistics from Goldman Sachs about the increasing number of companies mentioning AI in their earnings reports, and discusses the consequences of such misleading practices. The paragraph also mentions specific instances of companies like Delia and Wirecard being penalized for false claims about their AI technology, and raises concerns about the potential for an AI bubble similar to the dot-com bubble of the early 2000s.

10:02

📈 The Gartner Hype Cycle and AI's Future

This paragraph explores the Gartner hype cycle in relation to AI, suggesting that the industry may be nearing the end of the 'peak of inflated expectations' phase and entering the 'trough of disillusionment'. It discusses the pattern of overestimating the impact of new technologies and the subsequent market crash. The paragraph also addresses the potential for AI to mimic cognitive labor, which is a significant departure from previous technologies, and raises the question of whether the current AI applications will live up to the hype or lead to disappointment.

15:06

🏢 AI's Impact on Jobs and the Workforce

The final paragraph examines the impact of AI on employment, highlighting both the potential risks and the successful integration of AI in various industries. It discusses instances where AI has led to job losses and the narrative that AI will replace human workers. The paragraph also addresses the idea that AI might not be creating new jobs as promised, but instead is leading to layoffs and restructuring within companies. It concludes with a call for a cautious approach to AI, emphasizing the need for a balanced perspective on its benefits and drawbacks.

Mindmap

Keywords

💡AI Washing

AI washing refers to the practice where companies create a false buzz and mislead investors by providing manipulative information about the capabilities, limitations, or risks of their AI products. This is seen as a form of greenwashing, but for AI technology. In the video, it is mentioned that despite the hype around AI, many companies are not delivering on their promises, leading to a potential loss of trust in AI technology.

💡Data Brokers

Data brokers are entities that collect and sell personal information to third parties, such as scammers and telemarketers. They have the ability to know a lot about individuals, including their names, phone numbers, and addresses. In the context of the video, data brokers are presented as a problem that AI technology, through the service of a sponsor (Aura), can help mitigate by opting users out of having their information sold.

💡AI Bubble

An AI bubble refers to the concern that the excessive hype and investment in AI technology may lead to an overvaluation and eventual crash, similar to what happened with the dot-com bubble. The term is used to describe a situation where companies may overpromise on the capabilities of AI, leading to unrealistic expectations and potential disappointment.

💡Gartner Hype Cycle

The Gartner Hype Cycle is a model that describes the typical pattern of human reaction to new technologies, which includes an initial phase of inflated expectations, followed by a trough of disillusionment, and eventually leading to a stable plateau of productivity. In the video, this cycle is used to analyze the current state of AI technology and its potential future trajectory.

💡AI-Generated Content

AI-generated content refers to the output created by artificial intelligence systems, such as text, images, or videos, without human intervention. This technology has the potential to revolutionize various industries but also carries risks, such as producing misleading or inappropriate content.

💡AI in Customer Service

AI in customer service refers to the use of artificial intelligence to assist or replace human customer service representatives in addressing customer inquiries and issues. While AI can offer efficiency and availability, it can also lead to issues if not properly managed, such as providing incorrect information or failing to understand context.

💡Job Displacement by AI

Job displacement by AI refers to the concern that artificial intelligence systems may replace human workers, leading to unemployment and changes in the job market. This is a contentious issue, with some arguing that AI will create new jobs while others warn that it could lead to significant job losses.

💡AI Ethics

AI ethics refers to the moral principles and values that should guide the development and use of AI systems. It encompasses issues such as fairness, transparency, accountability, and the potential impact on society, including privacy concerns and the use of AI in decision-making processes.

💡AI Transparency

AI transparency refers to the degree to which the processes, algorithms, and decision-making criteria of AI systems are open and understandable to both developers and end-users. It is crucial for building trust in AI technology and ensuring that AI systems are accountable and fair.

💡AI and Privacy

AI and privacy concern the intersection of artificial intelligence with individual privacy rights. As AI systems often rely on large amounts of data, including personal information, there is a risk of privacy infringement if not properly managed. This includes the potential for data breaches and misuse of personal information.

💡AI in Tech Industry

AI in the tech industry refers to the integration of artificial intelligence into various aspects of technology companies, from product development to customer service and business operations. The impact of AI in this sector is significant, as it can lead to both innovation and job displacement.

Highlights

In 1770, Hungarian author and inventor Wolfgang von Kempelen built a self-operating chess-playing machine called The Mechanical Turk, which was a hoax.

Amazon's 'Just Walk Out' technology, launched in 2016, was initially presented as an AI-powered checkout system, but it was later revealed to be assisted by human operators.

As of 2022, around 1,000 people were still manually reviewing 70% of transactions in Amazon's stores, despite the company's promotion of the technology as a utopian AI solution.

The use of AI technology by other companies, such as sports stadiums and airports, was based on Amazon's 'Just Walk Out' system, which raised questions about the transparency of AI capabilities.

AI washing is a term used to describe when companies create a fake buzz and mislead investors by providing manipulative information about their AI products or capabilities.

A record 36% of S&P 500 companies mentioned AI in their Q4 earnings reports, indicating a widespread hype around AI technology.

Global corporate AI investments have increased seven times from 2015 to 2022, leading to a pressure to integrate AI into business models or products, even if it's not genuine AI.

The term AI is being overused and thrown around casually, which can lead to inflated expectations and potential disappointment.

AI technology has the potential to mimic cognitive labor, which is a significant change compared to previous technologies that required human intervention.

AI has been compared to the dot-com bubble and the crypto fiasco, with concerns about overpromising and underdelivering.

The Gartner hype cycle suggests that we may be entering the trough of disillusionment with AI, where the real applications will emerge after the hype fades.

There have been notable AI failures, such as an AI chatbot swearing at a customer and AI-generated content causing embarrassment in formal submissions.

Some companies are successfully integrating AI, but there is also a trend of AI being used to replace human workers rather than assist them.

Tech-related layoffs have continued into 2024, with companies citing AI as a factor in employee reductions, despite record profits.

AI's impact on job displacement is more nuanced than simply replacing individual workers; it can lead to more efficient team structures that require fewer employees.

There is a growing concern that AI will lead to significant job losses, especially in customer service, sales, and office support roles.

The narrative that AI will create more jobs than it replaces is being questioned, as major companies continue to lay off workers and reduce hiring.

The video concludes by emphasizing the need for a cautious approach to AI and its promises, and the importance of understanding the full scope of its potential impacts.

Transcripts

play00:00

this video is brought to you by Aura hi

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welcome to another episode of Cold

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Fusion in 1770 Hungarian author and

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inventor wolf Gan Von kemplin built and

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unveiled a self-operating chess playing

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machine called The Mechanical Turk in

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demonstrations around Europe his chess

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playing invention won most of its games

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against actual human chess players and

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it's even said that it went on to beat

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players like Napoleon and Benjamin

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Franklin naturally The Invention was

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extremely popular a Marvel of its day

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however it was actually just some guy

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under the table secretly operating the

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machine in other words it was a hoax

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some 250 years later in 2016 Amazon

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pulled a similar stunt their checkout

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system called just walk out allowed

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customers to Simply grab items from the

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store and leave under this system

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customers didn't have to manually scan

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their items at the checkout the

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transactions and Logistics were

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automatically taken care of behind the

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scenes by AI An Elegant combination of

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Compu Vision sense of fusion and deep

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learning or was it just like the

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Mechanical Turk all was not as it seemed

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Amazon's so-called AI technology was

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actually powered by a thousand people in

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India watching and labeling videos to

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ensure accurate checkouts now humans

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labeling data is often how AI models are

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first trained and that's fine but the

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point is the advertising was misleading

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even by 2022 these 1,000 people were

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still manually reviewing 70% of of

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transactions in 20 Amazon go stores 40

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Amazon fresh grocery stores and two

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Whole Food

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stores although some saw it as dystopian

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Amazon promoted their just walkout

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technology as a utopian magical solution

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powered by Ai and here in lies the

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problem companies often leave out

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critical information in the fine print

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it wasn't until 2023 that Amazon mention

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the use of the a thousand people in

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India and it gets worse according to a

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report by the information other

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companies were swindled too quote 30

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stores operated by other companies in

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the US sports stadiums 12 airports and

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one University all used Amazon's walk

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out

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technology and this is where things

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become murky when companies promis

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revolutionary technology but don't

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follow up on them it creates distrust

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but it can even spoil it for those who

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are doing legitimate work in the field

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with the AI Revolution that we've seen

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over the past couple of years there

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needs to be a more critical look at

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what's happening with AI in this episode

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we'll see the reasons for the AI hype

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and its consequences we'll look at if

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there is indeed an AI bubble and what

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real world impact that might be having

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this includes companies releasing

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half-baked AI products but also

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simultaneously replacing actual humans

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with AI it's a dichotomy of the industry

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so sit back and relax as we make sense

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of it

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all you are watching C Fusion

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TV one use of AI technology that

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absolutely nobody is thrilled about is

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the fact that it can make scammers lives

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easier AI can help generate convincing

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texts that try to trick you into

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clicking a fishing link and then there's

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the spam emails and Robo calls you've

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all experienced it but why does it

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happen it's because your information has

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been sold to data Brokers they're making

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a fortune from selling your information

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to robocallers and scammers they can

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know a lot about you including your name

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phone number and address but there's a

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simple way to stop this that's where

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today's sponsor Aura comes in they can

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identify data Brokers and submit opt out

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legally required to remove your

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Fusion to get started on a 2-e free

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trial offer only available in the United

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States okay so let's

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continue no it's not just you the term

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AI is really being thrown around

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everywhere for older cold fusion viewers

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you'd know that I've been covering AI

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for the good part of a decade now before

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2022 the word artificial intelligence

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was limited to Industry verbage in

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obscure research papers the general

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public didn't know or care and even as

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late as 21 when I covered gpt3 there was

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a lot of people that thought I was just

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making it up how could a computer

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possibly talk like that well as you all

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know after 2022 especially following the

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launch of chat GPT it was a different

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story from your smartphone to LinkedIn

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to your local government site a lot of

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organizations today will boast the term

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powered by

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AI while in a lot of cases it makes

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sense the overuse of the term and it

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being thrown around so casually is a

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symptom of something called AI

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washing AI washing simply put is when

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companies create a fake buzz and mislead

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investors by providing manipulative

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information about the capabilities

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limitations or risks of their AI

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products or simply wholesale lie about

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how and when they're using AI according

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to Goldman Sachs a record 36% of S&P 500

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companies mentioned AI in their Q4

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earnings reports if the biggest

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companies in the world are hyping it up

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there's no doubt that small companies

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are following suit and some without

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tangible results backing up their claims

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and the Investments are there to match

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too from 2015 to 20122 Global corporate

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AI Investments have increased seven

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times a lot of companies have seen

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tremendous growth in the recent AI hype

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and this puts pressure on other

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companies to integrate AI into their

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business model or their products in

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order to compete and that's even if it's

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not really AI Monkey C Monkey Do For

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example the Canadian investment firm

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Delia claimed that that had built an AI

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to predict upcoming companies and

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Industry Trends despite not having any

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such capabilities the SEC caught wind of

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the scam and has since ordered them to

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pay

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$225,000 and this was for false

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advertising and misleading statements

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about the use of AI and I have a feeling

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that this is just the start I previously

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talked about the wire card fraud where

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CEO Marcus Brawn boasted about having

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Advanced proprietary AI throughout their

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fintech products and services in reality

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it was just spreadsheets in the end

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there was $2 billion missing from the

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books but that was a story for a

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different day you might have also heard

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about the npu or neural Processing Unit

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it's a dedicated processor specifically

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designed for AI tasks among other things

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they're becoming increasingly common in

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the world of PCS and laptops and

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Microsoft has even claimed that we're

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now in the age of the AI PC but recent

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reviews of the current crop of these

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products have left consumers with a bad

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taste in their mouth let's talk a bit

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more about AI yes the Snapdragon

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processors dominate here but AI is still

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very nent many people either won't use

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these tasks all that much or these tasks

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themselves just don't work that well yet

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for example they demo generating images

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of animals and they highlighted how fast

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the processes were versus Intel but when

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I look closely at the images generated

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they were all garbage the AI dogs all

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had very lopsided eyes so who cares if

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one of these processors is faster than

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the other if they are both generating

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garbage right now I just wouldn't advise

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anyone buy a laptop based on its AI

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capabilities a news analyst from

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computer world has mentioned that these

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AI PCS aren't quote all they cracked out

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to be and if you're expecting something

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transformative when you buy one from the

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start of 2024 you're going to be

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disappointed they might one day deliver

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a lot of cool features just not yet end

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quote but are there consequences of such

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misplaced promises other than distrust

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from customers companies that Miss The

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Mark with AI product launches are

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constantly trying to save face even the

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most popular companies in the world are

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not immune to mistakes perhaps the

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biggest consequence of AI washing is a

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certain b word that might be lurking

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around the

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corner almost as soon as AI started

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going Uber mainstream from late 2022 a

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lot of people immediately liken the

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phenomenon to the dotom bubble or even

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the crypto Fiasco in fact some people

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still do today even when we talk about

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the.com Bubble it's not the worldwide

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web that was the problem because of

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course you're using a right now instead

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it was mostly the e-commerce side of

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things which over promised reeling in

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investors but underd delivered leading

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to a crash when everyone realized that

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the companies that they invested in

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weren't making any

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money with AI there's no doubt that

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we'll see some more investment in the

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space and Monumental growth too

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according to Oppenheimer no not the one

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you're thinking of who's a chief Global

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Equity strategist at Goldman Sachs

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research quote we believe we are in the

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relatively early stages of a new

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technology cycle that is likely to lead

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to further outperformance end quote

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Nvidia who designs the chips that are

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powering big Tech's AI Revolution is

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tentative proof of this their stock is

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up 80% this year alone perhaps excessive

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but it's indicative of what the market

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thinks of AI Mark Cuban who made his

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fortune during the era also doesn't see

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AI as a bubble in a recent interview

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with Lex fredman he expressed that the

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biggest sign that we're not in a bubble

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is the lack of IPOs in the AI sector

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also the absence of companies with no

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intrinsic value going public and the

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lack of quote funky AI companies is a

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key indicator he noted that the current

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market doesn't exhibit such

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characteristics and I think that I

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largely agree with that there's

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obviously some bad players in the

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industry who are just trying to make a

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quick Buck but there might be more to it

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and here's what I mean there's a known

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pattern for emerging Technologies called

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the Gartner hype cycle it describes how

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humans tend to be overzealous about a

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new revolutionary technology we

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overestimate and overshoot its impact

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hype it up until the market crashes and

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after the crash the real companies with

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the real value come through and

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spearhead the development of the new

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technology until it's mature if we look

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at the Gardner hype cycle for AI it

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seems like we're at the closing stages

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of the peak of inflated expectations and

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are slowly entering the trough of

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disillusionment this interpretation of

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the current market means that there's

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going to be a lot of disappointment

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ahead the real applications of AI will

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come after the hype and fatigue Fades

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but but this time could be a little bit

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different because at its core AI has the

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ability to mimic cognitive labor a

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change that no previous technology has

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been able to do without intrinsic human

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intervention whereas as pointed out in a

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previous podcast episode during the dot

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bubble there were a lot of people simply

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making a random website and going public

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and investors would throw money at

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anything with a do at the end of its

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name there's been a lot of organizations

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that have been ring to launch AI

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products or replace humans with AI

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altogether but the ones who are hastily

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adding the ever popular quote powered by

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AI gimmick are failing badly and there

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have been some spectacular AI failures

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for example a parcel delivery firm

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called dpd enabled an AI online chat for

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answering questions for One customer it

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was not only useless at answering

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relevant questions regarding his order

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but instead when asked it provided him

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with a poem and swore at him this

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amazing poem came forth about a dpd

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chatot who who wasn't able to do

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anything it was quite amazing it

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appeared to even disregard its own rules

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and started swearing and even started

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dissing its own employer adding dpd is

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the worst delivery firm in the world I

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would never recommend them to anyone in

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Australia a group of academics used AI

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generated material as part of their

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complaint submission to the Australian

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parliament against four of Australia's

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biggest banks of course the AI made up a

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whole bunch of information including SC

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scandals that never existed and

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implicating deoe when they had nothing

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to do with the original complaint

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someone on the team didn't read the

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entire submission before it went to the

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Australian government so it was a huge

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embarrassment and the academics were

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forced to apologize this is just one of

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many examples and I'm going to include a

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website that keeps a running tab of

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these AI blunders but on the other hand

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there are companies who are integrating

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AI successfully and this is where we

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come to the other kind of broken promise

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when it comes to AI it's not CEO's over

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promising ai's usefulness but under

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promising instead in other words we were

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told that AI would be our assistant and

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create new jobs not replace us but what

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if that's just not true not about

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replacing the human in the loop in fact

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it's about empowering the human like

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it's an assistant it's an assistant this

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clip from SAA is a bit hard to believe

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now even though later he did mention the

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flip side yes I'm sure a lot of us use

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chat GPT to help get work done on

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personal projects but AI eventually

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creating more jobs than it would replace

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maybe not so fast you may have noticed

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that since 2022 there's been a lot of

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tech related layoffs The Narrative is

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that this is happening due to the over

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hiring during the pandemic times and

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that would make sense for 2022 and even

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2023 but in 2024 we're still seeing Mass

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layoffs now if companies were just

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struggling to make a profit the

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explanation would be as simple as the

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common business cycle but strangely some

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of the biggest companies in the world

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are seeing record profits they're almost

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cyclically shedding

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workers according to reports tech

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companies fired 165,000 people in 2022

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260,000 in 2023 and so far the

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projection is 270,000 in 2024 so if

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companies are doing fine why are workers

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being kicked out the door well marketing

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professor and author Scott Galloway

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thinks quote there's something else

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going on end quote in his recent blog

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post dissecting the impact of AI on

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corporations he mentions quote AI is

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playing a larger role in layoffs than

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CEOs are willing to admit end quot the

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normal way we think about Job

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Replacements caused by AI is that Joe

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blogs is working at his computer

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analyzing company figures or something

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like that and then suddenly the next day

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he's replaced by an AI but the truth is

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it's a bit more nuanced than that as

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companies slowly get better at

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understanding how AI can Aid in their

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operations they'll create better teams

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and structure with higher outcomes

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basically instead of three people doing

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the work of three you'll have one person

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doing the work of five with AI the

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problem is that none of these companies

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are being sincere about it because if

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you're a CEO and you've been hyping up

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AI as the single greatest thing to

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happen to the industry and then you

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follow it up with a memo that you've

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laid off 30% of your staff because of AI

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the hypocrisy becomes clear but in 2024

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it seems like the truth is slowly coming

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out and there's hints everywhere IBM

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made headlines when CEO arvind chrish

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mentioned that they're planning to pause

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hiring roles that could be replaced with

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AI same with UPS where recently their

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CEO Carol Tom acknowledged that AI is

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playing a part in employee layoffs and

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this came after UPS had the largest

play15:12

layoff in its 116e history 12,000

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workers in both cases spokes people

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later clarified saying quote AI is not

play15:22

replacing workers end quote which is

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basically PR talk to save face in fact a

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Shopify employee broke their

play15:29

non-disclosure agreement to expose that

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the company has been secretly firing

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employees because of AI the shift is

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even having an impact far outside the

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tech industry TV and media producer

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Tyler Perry was building an $800 million

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Studio expansion but paused its

play15:44

construction after he saw the results of

play15:46

open aiora an AI video generator he made

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the remark quote I am very very

play15:53

concerned that in the near future a lot

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of jobs are going to be lost end quote

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in the last couple of years you probably

play16:02

would have heard this phrase a bit AI

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will not replace humans but humans who

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utilize AI replace humans who don't

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there's definitely some truth to it but

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some jobs will be at risk regardless we

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don't have to imagine this it is already

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happening Mega caps like meta and

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alphabet they are shrinking their

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workforces and and shrinking their

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hiring it's this idea that senior AI

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researchers or data analysts they can do

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more with Gen than an army of Junior

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Engineers who code a recent report from

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Mackenzie found that around 12 million

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us workers may need to switch jobs by

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2030 lower wage workers are 14 times

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more likely to be impacted stem

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Healthcare Builders and professional

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Fields will continue to add jobs but

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generative AI could change work

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significantly for occupations like

play16:48

customer service and sales and office

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support there's been repeated reports of

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how AI will be adding hundreds of

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millions of jobs in the next decade and

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how it's going to positively impact GDP

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while by some miracle this could happen

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right now as has been the case in many

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times in history the train will leave

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the station without telling us whether

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we're aware to jump on board or not is

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the

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question so wrapping this all up I do

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have to mention that in no way am I

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saying that all forms of AI and all of

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these giant corporations are elaborate

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hoaxes in fact on this channel I've been

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making videos about AI progress for the

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better part of a decade now and I've

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seen exponential progress right in front

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of my eyes and so will many of you we

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may have hit a temporary bottleneck when

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it comes to compute but all it takes is

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a breakthrough in model efficiency and

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the curve continues upwards but I just

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think that it's important to still have

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a cautious approach when it comes to

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looking at all sides of a story I'm also

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working on a video that's all about the

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positive real life impacts of AI so

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hopefully that's going to balance things

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out a

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bit so far it seems like the promises of

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AI are yet to be fully realized whether

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that's creating and not taking jobs

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solving Global issues or even providing

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us with a Dependable AI customer service

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spot that doesn't swear at us with such

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big and bold promises from these

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companies over the years it's important

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for all of us to ask ourselves do we

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have technological gold a trojan horse

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or a chess master hiding under a

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table anyways that's about it from me my

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name is toogo and You' been watching

play18:20

cold fusion if you did like that episode

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feel free to subscribe there's plenty of

play18:24

other interesting stuff on the Channel

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all right so I'll catch you again soon

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cheers guys have a good

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one a better

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future Heaven Help Us make a better

play18:42

[Music]

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future cold fusion it's new

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