A graph of generative AI in the workplace.

Microsoft and LinkedIn’s – 2024 Work Trend Index Annual Report

Generative AI
In the Workplace

Employees want AI but there is no clear guidance

Generative AI (GenAI) has been a hot topic for years. Some people are super excited about its advancements, while others worry it might threaten jobs and humanity.

 

According to Microsoft and LinkedIn’s 2024 Work Trend Index Annual Report, employees desire GenAI in the workplace but want clear guidance and support from their leaders.

 

Generative AI usage has nearly doubled over the last six months, with 75% of global knowledge workers now using it. 

 

Although business leaders recognise generative AI as crucial, many feel their organisations lack a clear strategy and vision to transition from individual usage to harnessing AI for expanding profits.

 

The pressure to demonstrate immediate returns on investment is causing leaders to hesitate, even though the adoption of generative AI seems unavoidable.

A graph of generative AI in the workplace divided by generations starting with Gen Z.

BYOAIEmployees across every age group are bringing their own AI tools to work

The Key Findings:

BYOAI (Bring Your Own AI): 78% of workers use their private generative AI tools.


Generative AI Implementation: 75% of workers already use AI at work, with 46% 

starting in the last six months.


Limited Knowledge: 79% of leaders know AI is important, but 60% don’t have a plan in place to use it.


New Hiring Standards: 66% of leaders wouldn’t hire someone without AI skills.


Insufficient Support: Only 25% of companies teach their workers how to use AI.


Supportive Leadership Matters: Employees work better with AI when 

their bosses support them.


Future Changes: AI will create new job roles and challenges.

Generative AI
Advantages for Employees:

  • AI helps 90% of workers save time.
  • 84% of workers feel more creative.
  • 83% of workers enjoy their work more.

Generative AI Skills
Are Becoming Vital

Employees are taking the initiative to develop their AI skills independently rather than waiting for formal guidance or training from their employers. 


A significant 76% recognize the importance of generative AI abilities in staying competitive in the current job market.


In addition, 69% of employees believe generative AI knowledge can help them get promotions more quickly, and an even higher 79% think it will expand their career opportunities. 


Over the past six months, there has been a 160% surge in non-technical professionals using LinkedIn Learning courses to enhance their generative AI skills.


Project managers, architects, and administrative assistants are among those eager to learn. Writers, designers, and marketers are at the forefront of this movement. 


Marketers are especially interested, with many planning to use generative AI this year to increase efficiency, concentrate on more valuable tasks (55%), and create optimized and engaging content that resonates with their target audiences (51%).


Interestingly, the adoption of generative AI skills is not limited to the technology sector. The industries leading this adoption are administrative and support services, real estate, and retail, outpacing even the technology sector.

A graph showcasing that generative AI Skills Are Gaining Importance in various Jobs and Industries.

Generative AI Skills Gaining Importance in Various Jobs and Industries.

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About the Following:

AI Fashion
Design Workshops

I offer tailored workshops and consulting services to help fashion brands integrate generative AI into their operations.

 

My hands-on, practical approach ensures that fashion design teams understand AI technology and can effectively apply it in their creative pipeline.

Generative AI
Fashion Design

Conveying fashion design ideas through 2D drawings has severe limitations. Because they lack detail, it is hard for many to visualize the garment before seeing a physical prototype.

 

With AI fashion design visuals, you can easily preview garments and outfits before making a physical prototype, saving time and money and speeding up selection processes.

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