Council Post: Enhance Your Business Outcomes with a Living Data & AI Skilling Strategy

The "Future of Jobs Report 2023" by the World Economic Forum sheds light on how labour markets undergo profound transformations driven by technological breakthroughs, economic and geopolitical disruptions, and mounting social and environmental pressures. With enterprises transforming faster than ever, the demand for data AI skills and an AI-ready workforce has never been more pronounced. Furthermore, generative AI has the potential to change every role in the organization and will have a significant impact on work and the way we work. These factors redefine the business landscape and workforce dynamics, and organizations must rethink their approach.

The Shifting Workforce Landscape

Environmental, technological, and economic trends primarily influence job creation and destruction shifts. Businesses are increasingly diverting their investments toward initiatives that facilitate sustainable and environmentally responsible practices. Simultaneously, the adoption of ESG (Environmental, Social, and Governance) standards is rising, compelling companies to prioritize their environmental and social responsibilities. Furthermore, supply chains embrace localization, reflecting a growing emphasis on sustainability and resilience.

With the increasing adoption of AI, there will be a notable surge in demand for AI skills, compounded by significant workforce changes, with some roles becoming obsolete and new roles emerging—for example, prompt engineers. These people design, test, and improve the prompts given to large language models (LLMs) while ensuring the outputs are generated cost-effectively, carbon-neutral, and computationally efficient. Increasingly, AI is expected to serve as a copilot rather than a replacement. This dynamic synergy between humans and machines streamlines operations and unlocks a new realm of possibilities for innovation and productivity.

Challenges for Organizations

Despite the clear need for AI skills and data-related expertise, there's a challenge that many organizations need to grapple with. A mere 10% of organizations achieve significant financial benefits with AI. Those that do deploy multiple human-machine learning approaches. According to a survey, 69% of Chief Data Officers have cited a talent shortage as one of the top barriers to the success of their data and AI initiatives. Additionally, 55% expected the situation to remain the same or worsen in the coming years.