Enterprise AI Deep Dive: Deconstructing "Intergenerational AI Literacy in Korean Immigrant Families" for Business Strategy

The Dual Dynamics of AI Adoption: A New Framework for Enterprise User Segmentation

The paper's central discovery is the tension between two user approaches to AI. This isn't just an academic finding; it's a strategic blueprint for understanding your own organization's AI adoption challenges. Off-the-shelf AI tools often cater to only one of these user types, creating conflict and hindering ROI.

Interpretive Gatekeeping: The Enterprise 'Parents'

In the study, parents didn't just block or permit AI use; they actively shaped it based on deep-seated values like perseverance, ethical integrity, and cultural authenticity. In an enterprise, these are your "gatekeepers":

• Leadership & Management: Evaluating AI for its alignment with company mission and long-term strategy.
• Legal & Compliance Teams: Scrutinizing AI for data privacy, security risks, and regulatory adherence.
• Brand & Quality Assurance: Ensuring AI-generated content meets standards for voice, tone, and accuracy.

These stakeholders act as the organization's conscience, prioritizing safety, ethics, and cultural fit over raw speed. Ignoring their concerns leads to stalled deployments and internal resistance.

Convenient Critical Deferment: The Enterprise 'Teens'

The teens in the study embraced AI for its immediate utility in overcoming academic and linguistic hurdles. They were aware of AI's flaws but strategically postponed critical evaluation to get work done faster. This is your pragmatic end-user base:

• Analysts & Data Scientists: Using AI to accelerate data processing and modeling, even if it requires later verification.
• Marketing & Sales Teams: Leveraging generative AI for rapid content creation and lead generation to meet tight deadlines.
• Developers & Engineers: Employing AI coding assistants to write boilerplate code and troubleshoot bugs, focusing on speed to market.

These users are the engine of productivity. If an AI tool is cumbersome or misaligned with their practical needs, they will find workarounds or abandon it entirely, no matter how compliant it is.

The OwnYourAI.com Insight: A successful enterprise AI strategy requires a custom solution that bridges this gap. It must have robust governance controls to satisfy the gatekeepers and a frictionless, intuitive UX to empower the end-users. This is not a feature of off-the-shelf products; it must be designed from the ground up.

From Monolithic to Relational AI Literacy: The Custom Solutions Imperative

The paper powerfully argues that AI literacy isn't a static skillset an individual acquires. It's a "distributed, negotiated, and relational practice." Simply running training workshops is not enough. To truly embed AI into your organization, you must foster a collaborative ecosystem where knowledge is co-constructed. We've translated the paper's findings into four pillars for building this relational AI culture in your enterprise.

The High Cost of Linguistic Inequity: Mitigating Risk in Global AI Rollouts

A critical finding from the study was the "linguistic fault line." Teens defaulted to English for AI interactions because it yielded better results, while parents who used Korean felt the AI was "awkward" and untrustworthy. This created an "epistemic injustice," where the parents' knowledge and language were devalued by the technology itself.

For global enterprises, this is a red flag. Deploying an English-centric AI tool across multilingual teams doesn't just reduce efficiency; it actively marginalizes non-English speaking employees, erodes trust, and can lead to costly operational errors rooted in poor translation and cultural misunderstanding. The business risk is immense.

OwnYourAI.com's Solution: Culturalization, Not Just Translation

We believe the future of enterprise AI is not just about translating interfaces. It's about culturalization: building custom AI models that understand and respect diverse linguistic norms, interaction styles, and cultural contexts. This means training models on your company's specific multilingual data, adapting workflows to local practices, and creating an AI that feels native to every user, regardless of their language. This is how you unlock true global productivity and build an inclusive AI-powered organization.

Enterprise Case Study: Applying the 'Family Model' to 'GlobalConnect Inc.'

Let's apply these insights to a hypothetical scenario. GlobalConnect Inc., a multinational logistics firm, wants to deploy a new generative AI platform to optimize internal communications and reporting across its global offices.

The Challenge: Gatekeepers vs. Pragmatists

• The 'Parents' (HQ Compliance & a German Branch Manager): They are concerned about data sovereignty (GDPR), the AI's potential to misinterpret technical logistics terms in German, and maintaining a consistent corporate tone. They block the initial rollout.
• The 'Teens' (A US-based Marketing Team & a Singaporean Operations Team): They have already started using the public version of the AI to draft weekly reports and marketing copy in English, significantly speeding up their work. They are frustrated by the blockage.

The Custom Solution: An OwnYourAI.com Implementation Roadmap

Instead of forcing a flawed tool, GlobalConnect partners with OwnYourAI.com to build a custom solution. Here is the roadmap:

The Result: The custom AI platform is successfully adopted. The German team trusts its localized outputs, compliance is satisfied with the secure, private environment, and the global teams get a powerful tool that accelerates their work without creating risk. This is the power of a relational, context-aware approach.

Interactive ROI & Value Analysis: Quantifying Culturally-Attuned AI

Moving beyond generic AI tools to a custom, culturally-aware solution delivers tangible returns. It reduces friction, minimizes errors from miscommunication, and boosts engagement across your global workforce. Use our calculator, inspired by the paper's emphasis on contextual friction, to estimate the potential ROI for your organization.

AI Readiness Check: Is Your Organization Building a 'Justice-Oriented' AI Culture?

The paper concludes with a call for "justice-oriented" AIsystems that are equitable, inclusive, and support collaborative use. This isn't just an ethical ideal; it's a competitive advantage. An organization that builds this kind of AI culture will see higher adoption, greater innovation, and stronger team cohesion. Take our quick quiz to see how your organization stacks up.

Your Organization Isn't Monolithic. Your AI Shouldn't Be Either.

The research is clear: success with AI comes from understanding and designing for the complex, relational dynamics of your organization. Off-the-shelf solutions can't capture your unique culture, workflows, and values. OwnYourAI.com specializes in building custom, context-aware AI that bridges the gap between governance and productivity.