Leveraging Artificial Intelligence for leadership
Sritam Mukherjee
11/17/20257 min read
By the beginning of 2023, 35% of businesses worldwide were utilising artificial intelligence. Approximately 42% of businesses plan to use it in the future. In the rapidly changing business dynamics of the 21st century, artificial intelligence has become a crucial aspect of leadership. This article focuses on the arguments and insights from different scholarly works that focus on how leaders can utilise AI to develop decision-making processes, involve innovation, and navigate the complex ideas of the workplace. Leaders are encouraged to promote business values, enhance automation to streamline protocol, streamline the user experience, and encourage sustainable development.
While encouraging the values related to AI, innovation, and sustainable development, leaders need to focus on self-awareness. To understand the scale of the impact of the leadership on an international level, leaders need to work on self-awareness. The prediction of Artificial intelligence enables leaders to understand the goals and outcomes better than ever. This quality of AI helps leaders to plan their growth strategy. When growth takes place at the centre of the leadership trajectories, simulation and planning become pertinent.
Along with the importance of different roles, performance and planning, business operations, and client experience, leaders need to understand the gaps in the services or product management. AI can also leverage that with its data-driven technologies.
Multifaceted approach of AI to leadership
Visionary leaders are always encouraged to include automation practices and prioritise value through automation. Leaders are required to navigate the AI revolution successfully to help employees and customers. The Analytical power of AI and the empathy of human nature create a combined system to reveal efficiency. This process leads to sustainable growth.
AI's Impact on Leadership Decision-Making
Leaders are required to focus on the following areas to implement AI fruitfully –
Prediction
Decision-making
Compliance
Workplace management
Prediction – leaders can utilise Artificial intelligence to enhance prediction systems. Prediction is necessary for both product and service management. AI leverages a better product or service design model with its predictive analogy.
Decision-making – Once the leaders have a better prediction system, accurate decisions can be made. An organisation gets a competitive edge if decisions regarding any product or service launching process and strategy are better. Artificial intelligence can create designs to align with different support teams that can help design, branding, and sales professionals to launch any service or product.
Compliance – Along with prediction and decision-making activities, leaders must adhere to compliance. Every business process should be compliant with the policies that the organisation is supposed to follow. To determine any non-compliant activities, artificial intelligence can be introduced. With advanced tracking systems, functional and personalised responses, artificial intelligence can identify any unusual transaction.
Workplace management – the most beneficial area is workplace management. The main pillars of workplace management refer to project management, internal communication, and people management. Hence, people management is connected with human resource management; this point will be discussed later under AI in human resource management. All modern tools that keep track of all projects and manage emails and other databases, are enhanced by artificial intelligence.
All-encompassing Support to Leadership
Artificial intelligence has the potential to revolutionise various areas of leadership. With the help of pattern-tracking abilities, compliance technologies, project management tools, decision-making abilities, and other man-management technologies, AI can transform traditional nuances of leadership to digitally enhanced leadership. Studies have shed light on this strength of artificial intelligence with the help of different real-life examples. Artificial intelligence can reduce different biases to get accurate research results. Research has become an important aspect of any project. Lattice, an Artificial intelligence tool, helps leaders create goals, review performances, and track and manage team productivity. Tools like 15Five provide goal tracking and 1-on-1 interaction for better and unbiased information.
To understand the variation of any data set or any survey result, it is important to go through a neutral process which will remove all the biases and carefully check all the outliers. While handling all these fundamental aspects of any research, AI can predict any trend, which will help businesses make decisions about their target audience. Leaders are finally responsible for enhancing the capability of the final product and capturing the right customer base. Handling feedback from senior management and other stakeholders can also be streamlined with the help of Artificial intelligence. In this way, the delegation process is optimised easily. Once these administrative burdens are reduced, Leaders focus on personal and organisational branding and goodwill.
With the advent of more online learning platforms and coaching systems, leaders can augment their learning process easily. Learning about Artificial Intelligence and learning through Artificial Intelligence are both beneficial for leaders. Accessing information on different demographics, sectors, markets, practices, and niches helps leaders to understand the right protocol for organisations and management. AI can provide information through scrutinising performance-related data. Leaders can understand the gaps within the organisation.
AI for Effective Leadership: Navigating the New Frontier
While leaders learn new things, make effective decisions, delegate work, and manage projects, they also take action on potential risks. Artificial intelligence helps leaders to identify potential risks from the market, customers, competitors, and risks within the organisation. Leaders can also understand potential risks in financial planning. While managing a company’s traditional assets, alternative assets, liabilities, equities, and other investments, leaders need to understand the risks of profits also. With the advent of cryptocurrencies, blockchain technology and other financial technologies, tracking financial transactions and other assets has become easy for organisations. However, some potential risks can cause a breach of protocol. As leaders are accountable for these complex aspects of any business, they require artificial intelligence to avoid those risks. With the help of AI data analytics, financial data can be easily analysed. Effective leaders can also introduce probable changes in the organisation with the help of artificial intelligence. Introducing and managing changes are often very complex, as internal stakeholders often do not encourage such changes. Due to fear of adopting new things, employees often do not embrace changes. The leaders are responsible for conveying the need for change to all the internal stakeholders. Leaders can provide proper demos regarding the new things with the help of artificial intelligence tools. Showing demos is not enough; employees should go through a proper training program where AI can be used for training.
AI in Human Resource Management
Over the last 5 years use of AI in human resource management has increased by 70%. It is expected that this percentage will increase by the end of 2024. However, there are positive signs of more AI adoption in HRM; there are certain challenges. With advanced AI tools, HR managers can easily check the performance of employees. They also keep track of the goals of the individuals and their alignment with the organisational goals. With the help of AI, human resource managers have not only gathered performance information, but they have also found the right candidates for their organisation. AI tools have helped recruiters create job descriptions, analyse the gap between the existing workforce and requirements, and create the appropriate talent pool.
Tools like Toolsforhuman.ai, oorwin, Hirevue, Turing, Cogbee, and Hiredscore can create a customised job description based on the specific requirements of the recruiters. While creating the talent pool, these tools also helped recruiters to set resume standards and match the standard with the applications. Along with resume standards, recruiters have also used tools to understand the body language and psychometric features of the candidates. After the outbreak of COVID-19, most of the interview processes were focused on online platforms. As the traditional process of recruitment was disappearing for a long period, it was important to have a proper digital system. While candidates were interviewed through video meeting tools, they also had to go through psychometric tests. These tests helped recruiters to understand the right mental setup of the candidate, which helped HR managers to select them. On the other hand, the tools Crunchbase help aspirants to target the right hiring manager, based on the customised search results.
Conclusion
At the end of the discussion, it can be concluded that the inclusion of Artificial intelligence in leadership development, effective decision-making, administrative support, and human resource management can be highly transformative. Prediction, workplace management, decision-making, and compliance management are some of the key roles where leaders can utilise artificial intelligence without any doubt. AI tools can help leaders keep track of the performance of individuals and teams with unbiased systems. These supporting tools not only help the leaders to set goals and track productivity, but those tools also reduce the efforts of leaders by delegating work. AI data analytical tools can help leaders invest in the right assets and manage alternative assets, equities, and liabilities. Along with handling performance, decision-making, and other investment-related matters, AI can also provide support to the recruitment process. Enhanced recruitment tools can provide customised job descriptions to recruiters and job seekers. Hence, Artificial intelligence has led a paradigm shift in the way leaders develop themselves in the modern era.
Reference
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