TheCGBros CGInsider Newsletter

Editor's Note

As AI changes our workplaces quickly, it can really affect our mental health. Constantly needing to learn new skills and keep up with new technologies can cause a lot of stress and anxiety. Most of us worry about losing our jobs or feel pressured to stay relevant, which can lead to burnout and feeling unhappy at work – trust me, I know. It’s important for individuals, workers and companies to understand these challenges and make mental health a priority as we all try to adapt to the changes that AI is bringing.

Companies should create a supportive environment that focuses on mental health as much as skill development. This can include offering mental health workshops, access to counseling, and encouraging a good work-life balance. Leaders need to be open about the changes AI brings and encourage employees to share their concerns. By promoting a culture that values mental health, companies can reduce the negative impacts of fast technological change and keep their employees motivated and resilient.

Taking care of your mental health benefits both you and your family, but also the employees and the company you work for. When we feel supported and valued, we’re much more likely to be engaged, productive, and creative. As AI continues to change the workplace, companies that focus on mental health will handle these changes better in our opinion. By addressing the mental health challenges posed by this new era of AI, our leaders should be creating a more balanced and sustainable approach to technological advancements. 

AI & Keeping Your Skills Relevant

This month in TheCGInsider Newsletter- July 2024: We discuss how Artificial Intelligence (AI) is transforming our workplaces at an unprecedented pace, making many of our skills obsolete faster than ever before. This shift presents a significant challenge for workers and leaders alike, as the skills needed to stay relevant in the job market are constantly evolving. In this article, we’ll explore why skills are losing their value so quickly, what an AI-ready workforce looks like, and how leaders can help their teams adapt and thrive in this rapidly changing landscape. With practical steps and insights from experts, we’ll guide you through the essentials of preparing for the AI era, ensuring that both individuals and organizations can navigate this new world successfully.

Why Are Our Skills Are Becoming Outdated?

As AI (Artificial Intelligence) becomes more common in our workplaces, the skills we need to stay relevant are changing faster than ever. This article explains why our skills are becoming outdated quicker, what an AI-ready workforce looks like, and how leaders can help their employees stay ahead.

The “half-life of skills” means how long a skill stays useful. In the past, a skill could be useful for over ten years. But now, with AI advancing so quickly, this time has dropped to around five years or even less in digital jobs.

Workers today often feel lost, not knowing what new skills to learn or feeling like they don’t have enough time to catch up. Tasks that once took days or weeks can now be done in hours, meaning fewer people are needed to do the same work. As AI takes over some jobs, other skills, especially those that AI can’t easily replace, become more important.

What Does an AI-Ready Workforce Looks Like?

To stay relevant, companies need a workforce that’s ready for AI.  Currently, there are four groups of workers in an AI-ready company:

1. AI Specialists: These are the tech experts like data scientists who create and improve AI systems. They are a small but very important group.

2. AI Professionals: These people are experts in areas like finance, supply chain, or media who also know how to use AI to solve problems in their fields.

3. AI Fluency Workers: This larger group needs a basic understanding of AI to use AI tools in their jobs. They don’t create AI, but they use it to work better.

4. AI Literacy Workers: The biggest group, these workers need to understand the basics of AI and its impacts. They need to know about AI’s ethical issues and risks, even if they don’t use it directly.

Besides technical skills, non-AI skills like problem-solving, creativity, and emotional intelligence are also crucially important. These skills help workers adapt and thrive in a world where AI is always changing things.

How Can Leaders Support Their Workforce?

Good leadership is key to building an AI-ready workforce. Leaders should have a clear idea of the skills their company needs and invest in training employees. They should create opportunities for retraining and upskilling.

There are two types of leaders: learners and pretenders. Learners are open about what they know and don’t know about AI and are always trying to learn more. This attitude encourages their employees to do the same. Pretenders, however, act like they know everything, creating a toxic environment where everyone feels they must fake their expertise.

Leaders should focus on “durable skills,” like understanding how AI works and knowing its risks, such as privacy issues. This prepares the workforce to use AI responsibly and effectively.

What Is The Role of Government?

Governments also have a role in helping workers adapt to AI. Instead of just protecting jobs from AI, they should encourage companies to invest in skills that will be important in the future.

Experts believe that in the future, specialized skills will be more valuable. Governments can support this by making policies that promote continuous learning and retraining. For example, if AI benchmarking will be crucial in the future, governments should push companies to train workers in this area.

This approach helps ensure that workers aren’t left behind by new technology. By encouraging lifelong learning and adaptability, companies and governments can build a workforce ready for the future.

What Steps Can Leaders Take?

In order to build an AI-ready workforce, our leaders can:

1. Assess Current Skills and Identify Gaps: Look at the skills the company has and what it needs. This helps focus training efforts.

2. Invest in Training Programs: Create training programs that teach both technical AI skills and important non-AI skills. This includes workshops, online courses, and practical projects.

3. Foster a Culture of Continuous Learning: Encourage employees to keep learning. Support and reward those who take the initiative to learn new skills.

4. Promote Cross-Functional Collaboration: Encourage AI experts and other professionals to work together. This sharing of knowledge leads to innovation and a better understanding of AI.

5. Emphasize Ethical AI Practices: Make sure all employees understand the ethical issues related to AI, such as bias and privacy. This ensures AI is used responsibly.

6. Lead by Example: Leaders should participate in AI learning themselves, showing their commitment and encouraging others to follow.

Conclusion

The AI era brings both challenges and opportunities. As skills become outdated faster, it’s crucial for leaders to prepare their workforce. This means developing both AI-specific and general skills, encouraging continuous learning, and promoting ethical AI practices.

By embracing these strategies, leaders can ensure their organizations stay competitive and resilient. The future of work is tied to AI, and those who adapt will succeed in this new world.

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