‘How are you preparing the organization for AI?’ asked the senior Board of Director to the CEO in the most recent board meeting. A very familiar scene in most boardrooms across the world. CxO’s are faced with two key considerations – Protecting the Business and Improving Business Velocity. One one hand the thet need to figure out the workforce adjustment, Ethics of AI, Data security and address the core belief that humans cannot be replaced. On the other hand they need to increase the speed of time to market, optimize cost & productivity and more importantly augment human capabilities.
The workforce AI paradox became sharper after the launch of Generative AI – Changes in job roles and tasks v/s Emerging job segments; Upskilling and reskilling v/s Human-AI collaboration. Job descriptions will undergo change and using AI will be a key task for most of the roles. CHRO’s will witness the emergence of skill inequality and inspite of L&D interventions, talent pool will need to focus on self-training. We will also see the emergence of new job roles like AI prompt engineers as companies will demand innovation. Humans innovating on top of AI output will be crucial and we will experience information equality.
Job roles are undergoing a profound change driven by technological advancements, particularly in the realm of artificial intelligence (AI). Automation of repetitive tasks is revolutionizing the workplace, freeing up valuable time and resources. Intelligent decision-making is becoming a reality, enabling businesses to make informed choices based on data-driven insights. This enhanced efficiency and productivity are reshaping the workforce, while augmented expertise is empowering professionals with AI-driven tools and knowledge.
To adapt to this changing environment, upskilling and re-skilling have become crucial. Developing data literacy and analytics skills equips individuals with the ability to harness the power of data effectively. AI and machine learning proficiency are in high demand, enabling professionals to leverage cutting-edge technologies for innovation. Critical thinking and problem-solving are emphasized as essential skills to navigate complex AI-driven scenarios.
A key aspect of the future of work is the concept of human-AI collaboration. Instead of being replaced by machines, humans and AI are working together, leveraging their complementary skill sets. Intelligent automation is streamlining processes, allowing humans to focus on higher-level tasks. Continuous learning and improvement are essential to keep pace with AI advancements, fostering a culture of adaptability and growth. Furthermore, ethical and responsible AI use is of paramount importance, ensuring that AI systems align with societal values.
As new job segments emerge, the demand for specialized roles is increasing. AI development and engineering professionals are at the forefront of building and optimizing AI systems. AI ethicists and policy experts play a critical role in shaping the ethical framework surrounding AI adoption. AI interpreters and trainers bridge the gap between AI systems and end-users, facilitating effective communication and understanding. Lastly, AI support and maintenance personnel ensure the smooth operation and upkeep of AI technologies, guaranteeing optimal performance.
In talent acquisition, AI-based approaches are transforming the recruitment process. AI is used for talent targeting, enabling organizations to identify suitable candidates with precision. Resume screening is automated using AI algorithms, streamlining the initial screening process. Digital Humans conduct interviews, assessing candidates’ communication skills and even creating video CVs. Progressive attitude and aptitude assessments leverage AI to evaluate candidates’ potential and fit within the organization. Additionally, predictive analysis is employed to determine attrition probabilities, aiding in workforce planning.
Learning and development initiatives are personalized using AI algorithms. Individuals benefit from tailored learning experiences, driven by AI-based recommendations and adaptive learning platforms. Intelligent tutoring systems offer personalized guidance, facilitating effective skill development.
Talent management is enhanced through the application of AI. Performance management and feedback systems utilize AI-powered analytics to provide valuable insights into employee performance. Chatbots and virtual assistants powered by AI support employees, addressing their queries and concerns. AI-driven sentiment analysis enables organizations to gather employee feedback and gauge overall satisfaction.
AI also plays a vital role in enhancing workplace culture and employee well-being. Diversity, equality, and inclusion efforts are bolstered with AI-driven strategies, promoting a more inclusive and equitable work environment. AI assists in improving response times to employee concerns and requests, ensuring a timely and efficient resolution. Furthermore, AI aids in hazard and risk management, helping organizations identify and address potential workplace hazards.
In conclusion, AI is here to stay and will augment (not replace) humans capabilities. Human-AI Collaboration will be a key CxO priority with a focus on Ethical use of AI.
(The author is Mr. Jaideep Kewalramani, Head of Employability Business and COO. Teamlease Edtech, and the views expressed in this article are his own)