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The 5 most important soft skills for leaders in the age of AI

The 5 most important soft skills for leaders in the age of AI

by Jana Wölfl | Sep 29, 2023 | Impuls series, Leadership and AI, Leadership Tips | 0 comments

The 5 most important soft skills for leaders in the age of AI

Prefer to listen to the article? Click below to access our AI speech-generated audio. However, if you want to read it as usual, keep scrolling.

The 5 most important soft skills for leaders in the age of AI

In times where artificial intelligence knows no boundaries and numerous programs can seemingly replace any work, leaders are placing more and more value on so-called soft management skills.

In this blog post, you will learn what exactly we mean by this and why soft management skills are indispensable, especially in the context of artificial intelligence. However, if you want to learn more about the basics of artificial intelligence, you can read the first blog post of our AI series here.

Hard vs. soft management skills

While hard management skills focus more on actually doing the job, e.g. dealing with data, managing and analyzing projects, and allocating budget, soft skills are mainly about the human aspect of leadership.

Thus, it is more about empathy, cohesion, transparent communication, etc., which means that leaders should pay more attention to social interaction with their employees. While both areas of leadership are equally relevant, there is one important factor that differentiates them:

Artificial intelligence can replace the hard aspects of leadership, but not the “soft” ones.

Especially in the aforementioned areas – i.e., data analysis and management, forecasting and budgeting – but also in project management, marketing, and HR, there are now quite a few programs that significantly simplify a leader’s tasks and make them more efficient. 

While artificial intelligence can save us some work, it cannot replace the human aspect. So the more AI takes over these technical tasks, the more important it is for leaders to focus on soft skills.

The 5 most important soft skills for leaders in the age of AI

The 5 most important soft skills for leaders in the age of AI

Of course, there is a wide range of relevant soft skills that you should apply as a leader in your everyday work. Here we present the 5 most essential ones.

1. Transparent communication

As a leader, you should be able to talk openly and honestly with your employees about internal and external topics. Also, in the context of artificial intelligence, it is important to clearly communicate to your employees where AI will be used and how your work structures will now change.

You can find more about Transparent Communication in Gunther Fürstberger’s book “Winning Commitment as a Lateral Leader” in the chapter “The Communicator and the Three Commitment Steps”.

2. Empathy and social understanding

Especially in times where roles in the company are changing rapidly and new programs and devices are constantly being introduced, it is important to be able to empathize with your employees and also understand what they need.

Because in the end, of course, it’s not just about your vision as a leader, but also about making sure your employees feel comfortable with the move to artificially intelligent programs and that any concerns about the issue can be listened to and addressed as far as possible.

More on how to boost your empathy in this article.

3. Adaptability

As a leader, you should be constantly learning about new programs and technologies to stay current. It is important not to be afraid of these changes and adapt to them as soon as possible.

soft skills

4. Awareness of cultural and gender differences

The use of artificial intelligence varies from culture to culture, which you should be especially aware of when working with other countries. Also, there is a large gender gap in the tech industry, and some AI algorithms harbor unintended biases and gender stereotypes.

Being aware of these factors can help you be mindful of the inclusive use of artificially intelligent programs.

You can read more about this topic in this article.

5. Critical thinking

While AI programs can handle some of our routine tasks, their flawless problem-solving is not guaranteed. Therefore, it is up to you as a leader to review the programs’ solutions and critically question whether they have actually handled the problem ideally.

In this article, you will find tips on how to improve your critical thinking.

Conclusion

Especially now that artificial intelligence can take over more and more tasks and facilitate processes, it is important for leaders to strengthen and develop their soft skills. Thus, a smooth transition to AI programs can succeed not only for you but also for your team and the entire organization.

Jana Wölfl

Jana Wölfl

Marketing Assistant

Jana Wölfl works at MDI as a marketing assistant and writes blog posts for our site in addition to her studies at Leiden University.

She also works for SDI and supports us with writing content there as well.

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What Leaders Should Consider When Implementing AI

What Leaders Should Consider When Implementing AI

by Jana Wölfl | Jul 26, 2023 | Agile Leadership, eLearning, Leadership in the digital transformation | 0 comments

What Leaders Should Consider When Implementing AI

A New Step into the World of Technologies – Artificial Intelligence for Leaders

Prefer to listen to the article? Click below to access our AI speech-generated audio. However, if you want to read it as usual, keep scrolling.

Alexa, Chat-GPT, and Co – Artificial Intelligence (AI) is gaining more and more significance. Leaders are also increasingly relying on AI systems in their companies. In this blog post, you will learn about the areas where this technology is particularly suitable and what you, as a leader, should pay special attention to.

What is Artificial Intelligence?

Artificial Intelligence is the ability of a machine or computer to mimic human behavior and intelligence. In Austrian companies, these technologies are already being used to the extent of 38%. Let’s first take a look at the areas where Artificial Intelligence can be best applied.

Customer Service and Recruiting

A form of artificial intelligence that you are probably familiar with is chatbots that provide automated responses to customer questions. This saves your employees a lot of work, allowing them to focus on more complex tasks, thereby increasing the productivity of the company.

AI can also bring advantages in the field of recruiting. AI-powered programs can analyze applications based on keywords and qualifications and recommend the most suitable candidates for the position to employers.

Data Analysis for Success

Another useful capability of AI is to analyze key data and make decisions for the company. These technologies can identify trends and create a plan that is meaningful for the industry. Artificial Intelligence is much faster and more accurate than a human employee in this regard.

However, AI can not only determine existing trends but also predict future trends and adjust the company’s strategies accordingly. This naturally provides a competitive advantage.

Potential Risks of Artificial Intelligence

Although AI brings some advantages to our companies, there are also risks involved in its use. On the one hand, AI systems are more vulnerable to hacker attacks. Hackers can limit the capabilities of the programs, thereby infiltrating and gaining access to important information.

On the other hand, artificial intelligence is still only an imitation of human behavior and cannot replace emotions, creativity, and empathy. Chatbots can, therefore, appear impersonal, and their direct and unfiltered nature can be perceived as hurtful.

What Leaders Need to Consider When Implementing AI

As you can see, the use of Artificial Intelligence in companies is almost inevitable. Here are 5 tips on how to smoothly transition to these new technologies.

1. The Vision

First and foremost, you need to be clear about the exact purpose for which you want to use Artificial Intelligence in order to provide the best possible relief for yourself and your employees. Consider realistic goals that you can set for the company.

Share these goals and ideas in an AI roadmap with your employees. By doing so, you involve more people in the company in your decisions, and you can work out your plans together.

2. Soft Management Skills

In this age, leadership qualities such as curiosity and emotional stability become even more important as AI replaces the “hard” elements of leadership (such as processing information).

Leaders need to be more open to new things and adapt to changes. This can establish a basis of trust with your employees, making the implementation of artificial intelligence easier.

3. Test Artificial Intelligence

No one expects you to immediately master artificial intelligence in your company. You can simply try out the new technologies and test which applications of Artificial Intelligence you prefer.

Furthermore, the programs develop their own feedback loop, which allows you to simplify and improve their use.

Artificial Intelligence

4. Data Privacy and Transparency

Since AI systems often have access to personal data of employees, you should comply with European data protection regulations when using Artificial Intelligence.

In some cases, the applications may even need to be certified according to European standards to achieve the highest possible level of security.

Transparency is also crucial as your employees should know when and in what context artificial intelligence is used in the company. This promotes trust in the leadership and AI systems, and your employees can adapt to their use more quickly.

5. Don’t Forget About People

When implementing artificial intelligence, employees often have concerns about being completely replaced by machines. It is up to you not to forget about the human employees and continue to distribute tasks to them.

Artificial intelligence should be seen as more as a tool and less than a workforce. Data and proposed changes should still be analyzed and interpreted by humans.

As a leader, you should continuously support your employees and provide them with ongoing training to foster their work with artificial intelligence.

Conclusion

Artificial Intelligence brings several benefits to companies as it simplifies and automates work processes. At MDI, we have also familiarized ourselves with programs like Chat-GPT recently.

Of course, caution and careful consideration are necessary when applying AI. However, we are confident that with proper preparation and security measures, a significant step can be taken into a new world of technologies.

Sources:

  • https://www.oed.com/viewdictionaryentry/Entry/271625
  • https://www.hernstein.at/fileadmin/user_upload/HMR/HMR_2_2022_Digitale_Welt.pdf
  • https://www.forbes.com/sites/forbesbusinesscouncil/2022/11/21/the-top-five-ways-ai-is-transforming-business/?sh=1a61f3e88e7f
  • https://www.die-wirtschaft.at/weltmarktfuehrer/kuenstliche-intelligenz-als-fuehrungskraft-51404
  • https://www.forbes.com/sites/metabrown/2018/07/30/predictive-analytics-terms-business-people-need-to-know-no-hype-allowed/?sh=6c3fc4d23d43
  • https://www.forbes.com/sites/forbesbusinesscouncil/2023/03/01/understanding-the-benefits-and-risks-of-using-ai-in-business/?sh=7cf0b2d36bba
  • https://www.forbes.com/sites/forbesbusinesscouncil/2022/11/21/the-top-five-ways-ai-is-transforming-business/?sh=1a61f3e88e7f
  • https://hbr.org/2018/01/as-ai-makes-more-decisions-the-nature-of-leadership-will-change
  • https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/will-artificial-intelligence-make-you-a-better-leader
  • https://www.plattform-lernende-systeme.de/reden-und-beitraege-newsreader/ki-fuer-fuehrungskraefte-wie-der-einsatz-der-technologie-gelingt.html
  • https://www.hbi.de/blog/wie-kuenstliche-intelligenz-ki-die-rolle-von-fuehrungskraeften-veraendern-wird/
Jana Wölfl

Jana Wölfl

Marketing Assistant

Jana Wölfl works at MDI as a marketing assistant and writes blog posts for our site in addition to her studies at Leiden University.

She also works for SDI and supports us with writing content there as well.

Download our MDI Whitepaper:

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