Don't be fooled by thinking that AI is coming for your job – this is the truth

AI For Business


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coding. the study. learn. More recently, Jim Stratton, Chief Technology Officer of Human Capital Management Platform Workday, has turned to artificial intelligence to enhance everyday tasks.

Almost 60% of Workday's 20,000 employees regularly use AI in their daily lives. Half says it will either provide new insights or help you get creative. Three-thirds report increased productivity, including strutton.

“More and more, I rely on it as a tool to help get things done. I know I can do so much more than before,” Stratton said.

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However, despite the benefits of AI, Workday has not reduced its workforce. And more and more companies are discovering that AI will strengthen its workforce rather than swapping employees. The widespread adoption of AI technology highlights the need for human skills to successfully implement technology. As a result, humans are still in demand, and AI is creating new opportunities for those who embrace change.

“Attentional intelligence not only supports workers, but artificial intelligence requires workers' functions, says Nazrul Islam, co-author of the research.

When it comes to skills like essential human beings and conceptual strengths, AI cannot outperform humans. Human skills include people management, emotional intelligence, coordination and teamwork, while conceptual skills include creativity, critical thinking and analytical reasoning.

This evolution means that even traditional technological fields must build and strengthen people-oriented skills that have probably been underestimated in the past.

Also: Employers want workers with AI skills, what exactly does that mean?

“Even engineers have to think differently about their skills combinations,” said Anesh Raman, Chief Economic Opportunity Officer at LinkedIn. “Having a deliberate combination of technical and non-technical skills has grown into a differentiator between great and great engineers, especially in workplaces with AI.”

Islam studies introduce new cyclical and permanent races between workers and workplace AI. As AI takes over certain functions, workers must learn new skills, develop themselves continuously to remain relevant in an AI-driven environment, and adapt by emphasizing the importance of uplifting more than ever.

The need for upskills

While it's always worth staying up to date in your field, learning to use AI tools effectively is increasingly becoming what sets employees apart in today's workforce.

A LinkedIn report published earlier this year found that 81% of the global executives surveyed were more likely to hire people who are more used to using AI tools than people with less confidence in using AI than people with related experience.

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“We are a great place to go,” said Karim Lakhani, chairman of Harvard University and Dorothy's Institute of Digital Data Design and Professor Michael Hinze at Harvard Business Business Agement. “Up-skills are no longer an option. They are a must-have for your career.”

Workers are already taking initiatives to learn for themselves. In the US, AI literacy is the fastest growing number one on LinkedIn. AI courses are becoming increasingly available on learning platforms such as Coursera, Google Cloud and Amazon Web Services.

Business leaders and employers also play a key role in enabling this transition.

“As AI rebuilds every industry, all workers need to continue learning how to use the tools, or they can fall behind even further. And it's both the responsibility for companies and their workers to prioritize upskills,” Lakhani said.

McKinsey Digital Report, Super Agency in the Workplace: Empowering people to make the most of their AI potential, finding that 60% of employees have optimistic views about AI. Half expressed a desire for more formal generation AI training from the organization.

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Hannah Mayer, a partner at McKinsey and co-author of the report, pointed out that he had involved a client creating training modules with personalized nudges to help sellers prepare for customer interactions effectively.

Proper training helps employees work more efficiently and understand that AI tools are intended to support them rather than replace them. In the example above, workers become productive without handing over tasks to AI.

When advising business leaders on how to remove friction with AI implementations, Mayer said, “Providing the training that employees are literally so desperately looking for.”

What is AI ROI?

In theory, if employees can learn AI in the workplace, they will be able to apply those skills to their tasks, making them more productive and efficient. However, adoption still faces hurdles. Developing and deploying these technologies is expensive and ROI remains unknown.

The same McKinsey report found that across the industry, most C-level executives reported limited returns on corporate-wide AI investments. Only 19% saw revenue growth exceeding 5%, with 39% seeing a moderate increase of 1-5%.

Despite the perceived value, a LinkedIn survey found that only half of companies using generator AI for two years had a 10% increase in revenue. A more effective way to assess ROI is to assess ROI on a case-by-case basis.

Also: 4 ways business leaders can use AI to solve problems and create real value

“Analysts can now spend their time on more strategic work, which means there are significant time savings that could lead to money savings.

For example, Baptist Health, one of Visier's clients, was able to reduce sales by 50% using Workforce Insights. Another client that Derler couldn't name, saved 80% of the time he previously spent collecting data.

AI caused him to lose his job

Beyond the benefits, AI replaces several jobs. News headlines are flooded with major companies that reduce their workforce to implement AI.

For example, co-founder and CEO of Language Learning Platform Duolingo recently said the company will gradually stop using contract workers for tasks that AI can handle. Non-technology businesses are also feeling the heat. United Parcel Service (UPS) has announced plans to cut 20,000 workers with the advent of new technologies, including machine learning.

Also: AI could erase half of entry-level white-collar jobs in five years, CEO warns

This shift is not only predicted, but also reflects the common patterns seen in major digital transformations. Like the internet boom that has abolished many traditional jobs, it has created completely new industries and roles previously unimaginable, including web UI/UX design, digital publishing, e-commerce, and social media management.

“It's been a huge change over the last 20 years. Whenever there was new technology, jobs have changed, which was very unfortunate for those involved, but it was almost part of the transformation,” Deller said.

Future work

As history repeats itself, AI is currently opening countless jobs in related sectors, ranging from machine learning engineering and data annotations to AI Ethics Consultancy and rapid design. These positions reflect the evolving needs of a rapidly advancing technological landscape.

“AI engineers, AI researchers and AI consultants are some of the most in demand and fastest growing jobs on LinkedIn this year,” Raman said.

Also: the most important job skills needed to thrive in the AI ​​revolution

Even workers who are not directly in the AI ​​field have the opportunity to do more of what they want by delegating less important tasks to AI.

Workday encourages and supports employees' internal use of AI through a program called Everydayai. Since establishing the program, productivity has risen and has mutually benefited employees and the entire organization without eradicating the current workforce.

“We're probably seeing 20-30% in terms of AI-based check-in, so that's a huge productivity boost. We don't look at that because we need 20-30% of developers.

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