Myth 2: AI cannot lie or make mistakes.

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In the words of Vince Molinari, CEO of Fintech TV, “The biggest misconception that’s being propagated about [AI] is that it will rapidly and virtually overnight displace industries and workers.”

And I agree that this is the biggest myth about AI so far.

Rather than replacing all jobs, AI will complement human labor, help people get better at their jobs, and increase their productivity by 10. The majority of employees and their employers say the same, according to LinkedIn’s 2023 Future of Work Report.

Speaking for the energy sector, for example, CEO of Lightcore Energy Thomas Petzold says, “The energy industry already makes great use of AI, but while AI excels at analyzing data and making predictions, it cannot (yet) replace the deep industry expertise and decision-making capacity of energy engineers, scientists, and policymakers.”

Also, despite being one of the most popular use cases for AI in healthcare, medical professionals agree that AI won’t replace human doctors in diagnostics.

“Yes, AI serves as a powerful tool that can enhance bangladesh whatsapp number database decision-making and help doctors with more accurate, data-driven diagnoses… but the human touch, experience, and judgment still remain crucial — especially for complex or ambiguous cases,” Gabriele Keil, CFO of Cell4Care, confirms.

For all we know, the fear of losing jobs to new technological advancements goes back as far as the 16th century.

But it’s been proven time and time again that these advancements create more jobs than they “destroy,” and only those who refuse to improve with the technology may get left behind.

There’s a common misconception that because AI is driven by data and algorithms (and not human emotions or biases), it is immune to errors and always provides truthful information.

Now, this paints AI as an infallible source of truth, leading to potentially harmful misconceptions about its reliability.

Reality