We live in a world of hyper-disruption. Digital technologies, global pandemic, remote and hybrid working, economic uncertainties, and leadership gaps have drastically changed our work environment. Generative AI, especially post-ChatGPT, has significantly impacted our lives and work.
Studies suggest that AI may impact 60% of jobs in advanced economies. The impact might be slightly lesser in countries like India, but it is crucial to focus on reskilling to turn this challenge into an opportunity.
In a stimulating LinkedIn Live Masterclass hosted by People Matters in partnership with Skillsoft, the topic “Building Future-Ready Learning Roadmaps – Strategy, Execution, and Impact” was discussed. This Masterclass moved beyond traditional learning and development approaches, recognizing the multifaceted challenges faced by employees in today’s workplace.
The conversation led by industry experts Ankur Gupta, Vice President, Skillsoft, and Sucheta Mishra Goel, Principal Professional Services Consulting, Skillsoft, reflected on strategies to address the coexistence of Generative AI and human elements within the work tech landscape.
The Impact of AI and Generative AI on Workforce Transformation and Organisational Strategy
Ankur and Sucheta highlighted that while AI and Gen AI are popular topics, they are often considered trends that many talk about but only some genuinely understand. More than merely discussing AI is needed to make one an expert.
Individuals and organisations must prioritise reskilling and upskilling to stay relevant and avoid job losses caused by technological displacement. The fear of missing out should motivate people to keep up with these changes. While some may view this race as unethical or disruptive, it is essential for staying competitive in the evolving workplace.
Generative AI, especially with the advent of ChatGPT, is significantly impacting various industries and roles. This impact is evident across different levels of organisations, from senior leadership to developers.
Numerous companies are adopting generative AI tools, which are significantly impacting roles and strategies. The technology is touching everyone, from C-suite executives to departmental heads.
While the degree of impact varies across industries, all sectors are finding relevant use cases. Industries where automation can replace repetitive tasks are seeing the most significant changes. The use of AI is expected to enhance productivity dramatically.
According to IDC, implementing AI-powered skills development programs could drive $1 trillion in productivity.
AI’s use cases range from customer service to marketing and media. For instance, AI-generated content in marketing is expected to increase significantly. Predictions suggest that by 2030, AI could generate 90% of blockbuster films, highlighting the technology’s potential in entertainment and other creative fields. Also, specific industries, such as pharmaceuticals and automotive, are leveraging synthetic data and generative AI for drug design and chip design, enhancing productivity.
A forthcoming report by People Matters and Skillsoft detailed the impact of generative AI on workforce transformation in India. Preliminary findings show that while many organisations have basic knowledge of AI, more have yet to achieve high proficiency. Hence, organisations must embrace these technologies to stay competitive and capitalise on their potential.
Workforce Skills and Leadership in the Age of AI
Leadership expectations have evolved, extending to all levels within an organisation. Employees are now expected to lead themselves and others and drive business impact. Traditional, broad-based leadership training programs are being replaced by more tailored, role-specific skill development initiatives.
Modern learning emphasises personalization, with micro-skills tailored to individual needs. This approach ensures employees focus on learning what is necessary for their roles, making training more relevant and impactful.
According to the World Economic Forum, top skills for 2025 include analytical thinking, innovation, active learning, complex problem solving, and critical thinking.
These skills are crucial across various roles and industries. However, many of these skills are currently underrepresented in the workforce, especially in regions where education systems focus heavily on traditional subjects and grades.
Technological advancements are disrupting core skills across many industries. For example, the role of Chief Marketing Officers (CMOs) has evolved to include significant technological expertise, transforming into Chief Marketing Technology Officers (CMTOs). For CHROs, the relationship between employers and employees has been disrupted, particularly post-COVID-19. There is a notable skill shortage in technology and across leadership and management roles. Managers now need to be empathetic and personal and act as role models, especially in a hybrid or remote work environment.
Differentiation Factors and Adopting Enterprise-Wide Gen AI Solutions
Sucheta reflected that while many equate Gen AI with ChatGPT, the reality is much broader. There are various aspects to consider, including wellness, leadership styles, and development, which are crucial for workforce transformation.
There is a generational divide in today’s workforce. Previously, extensive training programs were the norm (e.g., 32 hours of leadership training). Today, training needs are different, requiring more targeted and efficient approaches.
Organisations need to leverage existing innovations rather than wait for advanced ones. Many practical solutions are available but may not be fully utilised due to a lack of awareness or adoption challenges.
Conversational AI simulators and other AI-driven coaching tools are transforming the coaching experience. These innovations do not require waiting—they are ready for implementation. The critical challenge is bridging the gap between existing solutions and the awareness of these solutions. Enhancing understanding and reducing inhibitions about adopting these technologies can drive significant improvements.
Strategic Adoption of Gen AI in Enterprise Skilling
Educational qualifications have significantly transformed in the last five years, focusing on emerging technologies like Gen AI. The critical question now is the longevity of Gen AI dominance, prompting CXOs to invest strategically in closing the skills gap.
Organisations begin by activating a foundational understanding of Gen AI, progressing through deeper explorations towards transformative phases where stakeholders become pivotal in driving innovative projects. This approach aligns with Deloitte’s findings, highlighting the increasing importance of skills and proactive strategy development.
Organisations lean towards plug-and-play solutions or customizable frameworks tailored to specific needs, minimising guesswork, and enhancing adoption rates. Early adopters report significant success—63% attribute positive outcomes to prioritising skill development initiatives.
Personalising solutions to local contexts or individual preferences amplifies engagement and effectiveness, which is recognized by CHROs as fostering a culture of continuous improvement and organisational alignment.
Harnessing AI-Driven Skilling for Continuous Organisational Adaptation
In today’s rapidly evolving landscape, organisations must adopt a targeted, outcome-driven approach to persona-based skilling. This entails designing programs that cater to specific skill gaps and leveraging AI-driven platforms like Percipio for comprehensive skill development. Every company now operates as a technology company, necessitating a focus on digital literacy, leadership capabilities, and professional skills.
The skilling cycle involves benchmarking current competencies, instructing, collaborating, applying new skills, and continuously performing at higher levels. To stay ahead, leaders themselves must undergo continuous benchmarking and upskilling, whether in AI, leadership, or other critical domains. This holistic approach ensures organisations remain competitive and adaptable amidst ongoing technological advancements.
Watch the complete conversation here