Journey with Gen AI & impact on workforce

The potential journey with Generative AI (Gen AI) and its impact on the workforce, drawing parallels with the historical evolution of computers and the internet.

As we know, computer operator was supposed to be a dedicated roles in organization and only few workforces able to operate computer but today we can’t imagine workforce without computer knowledge. Remember the days when lots of security concerns on internet from data security prospective, only few was allowed to use internet for specific purpose and rest of computer was isolated from internet. Today, we can’t imagine working without internet let it be from home to shop or hospital or school or anything’s around.

IMO, History repeating himself and Gen AI is going to take same place where internet is today. Gen AI is going to future workforce, and we will not be able to imagine a workplace without Gen AI accessibility. Like anything else early adoption of Gen AI will give cutting edge advantage to organization over competitor and organization can plan journey with Gen AI in 4 phases

Let's delve deeper into each phase and the implications for organizations:

Phase 1: Awareness and Roadmap

Creating awareness across the workforce is crucial, as understanding the capabilities of Gen AI is the first step towards successful integration. Developing an appetite for Gen AI and showcasing the organizational roadmap sets expectations and helps employees see the value it brings. Early adopters in this phase gain a competitive edge as they are better prepared for the future workforce transformation.

?Phase 2: Onboarding Off-the-Shelf Gen AI Tools

Integrating off-the-shelf Gen AI tools for non-sensitive tasks like content creation and market research allows organizations to dip their toes into AI without the need for extensive customization. This phase helps employees become accustomed to working alongside AI, promoting acceptance, and understanding of its capabilities.

Phase 3: Customization with In-House Data

Developing customized Gen AI tools using in-house data takes the integration to a deeper level. This phase enables organizations to leverage their unique datasets, enhancing customer experiences through personalized interactions. For instance, tailoring product recommendations based on individual purchase history and geographical data can significantly impact customer satisfaction and engagement.

Phase 4: Self-Learning Models

The pinnacle of Gen AI integration involves the development of self-learning models. These models continuously improve based on real-time user feedback, reducing the need for human intervention. This phase not only enhances the relevance of services and content but also provides a significant competitive advantage. Organizations that can adapt and evolve their Gen AI models in real-time gain a substantial edge in delivering more tailored and responsive experiences.

?Conclusion

Generative AI is applicable across various professional domains and industries. Urging organizations to embark on Phases 1 and 2 without delay demonstrates the need for proactive adoption. The decision to progress to Phases 3 and 4 should be based on the impact of Gen AI on customer offerings and the competitive landscape. Overall, create framework to provide a strategic guide for organizations to navigate the evolving landscape of Generative AI.