Plus, AI Makes Tech Stocks Soar
A new report from the McKinsey Global Institute estimates that up to 800 million jobs could be automated by 2030, with the majority of these losses concentrated in white-collar occupations. The report found that AI is particularly well-suited to automate tasks that are repetitive, rule-based, and require little creativity or social interaction. For example, AI could be used to automate tasks such as customer service, data entry, and legal research. This could have a significant impact on the global workforce, as many of these jobs are currently held by middle-class workers.
AI deepfakes are becoming increasingly sophisticated, and they pose a serious threat to the integrity of the 2024 election. These videos can be used to create fake news stories or to fabricate incriminating evidence against political candidates. For example, an AI deepfake could be used to create a video of a politician saying something they never said. This could be used to damage the politician’s reputation or to sway voters in an election.
Hackers are increasingly using AI to create malware that is more difficult to detect and defend against. One example of this is ChatGPT, an AI chatbot that can be used to generate convincing fake conversations. This chatbot can be used to trick users into revealing sensitive information or to spread malware. For example, a hacker could use ChatGPT to create a fake website that looks like a legitimate bank website. When users enter their login information on the fake website, the hacker can steal their information.
AI is fundamentally altering the business landscape, as it is being used to automate tasks, improve decision-making, and create new products and services. For example, AI is being used by retailers to personalize customer experiences, by banks to detect fraud, and by healthcare providers to diagnose diseases. AI is also being used to create new products and services, such as self-driving cars and virtual assistants.
Investors are willing to pay a premium for tech stocks, as they believe that these companies are better positioned to benefit from the ongoing digital transformation. This trend is likely to continue in the years to come, as AI and other technologies continue to disrupt traditional industries. For example, tech stocks have outperformed the broader market in recent years, and this trend is expected to continue.
A new machine-learning model can detect lies by tracking facial expressions and pulse rates. The model was trained on a dataset of over 10,000 videos of people lying and telling the truth. The model was able to correctly identify liars with an accuracy of 82%. This could be used in a variety of applications, such as security screening and law enforcement.