Loyalty Points, Social Tokens, and the Road Not Taken in AI Development

Loyalty Points, Social Tokens, and the Road Not Taken in AI Development

Introduction:
The concept of rewarding customer loyalty through loyalty points and social tokens has become increasingly popular in various industries. These programs aim to foster a sense of loyalty between customers and brands by providing incentives for continued usage. However, it is crucial to understand that the power of token schemes lies not only in financial incentives but also in social incentives. In this article, we will explore the connection between loyalty points, social tokens, and the road not taken in artificial intelligence (AI) development.

Loyalty Points and Social Tokens:
Loyalty programs, such as the ones offered by brands like Starbucks, are essentially "corporate currencies" that create transactional communities. These communities are built on shared trust in the institutions, members, and structures of feeling within the brand's ecosystem. By offering rewards in the form of loyalty points or social tokens, brands aim to strengthen their relationship with customers and encourage continued engagement.

Truck Driver Loyalty Schemes:
In certain industries, loyalty programs take on unique forms, such as truck driver loyalty schemes. These programs provide incentives for truck drivers to remain loyal to specific brands, such as fuel companies or truck stops. By accumulating points or tokens through their purchases, truck drivers can unlock various rewards and benefits within the trucking community. These schemes not only foster loyalty but also create a sense of belonging and camaraderie among truck drivers.

The Production of Status:
Collecting loyalty points or social tokens can also be seen as a form of play. Customers engage in these activities not just for the tangible rewards but also for the sense of achievement and status associated with accumulating points. Brands can leverage this desire for status by creating exclusive tiers or benefits for customers who reach certain milestones in their loyalty journey. This production of status enhances customer loyalty and encourages continued participation.

The Future is Medieval:
Looking ahead, the future of loyalty programs and social tokens may be influenced by a medieval framework. In this vision, transactional communities resemble the guilds of the medieval era, where members had shared trust, common goals, and a sense of belonging. Brands can tap into this concept by fostering a strong community among their customers, providing them with a sense of purpose and identity within the brand's ecosystem. By embracing the medieval framework, loyalty programs can become even more powerful branding tools.

The AI Road Not Taken:
While loyalty points and social tokens focus on customer engagement, the development of artificial intelligence (AI) has taken a different path. MIT economist Daron Acemoglu argues that AI research and development have primarily focused on sectors that have a net negative impact on humanity. However, many commentators view this trend as inevitable, believing that AI's nature is to accelerate automation and enable control over individuals' behavior.

AI's Productivity Potential:
Contrary to the prevailing narrative, AI has the potential to increase human productivity by creating new tasks and activities for workers. For instance, AI can enhance teaching in classrooms by making it more adaptive and student-centered. This innovation generates new teaching tasks, increasing the demand for teachers and boosting their productivity. Additionally, AI combined with augmented and virtual reality can create new opportunities for workers in blue-collar and technical occupations.

The Wisdom of Intervention:
The argument that we should rely solely on the market for technological change is questionable. Innovation brings significant positive externalities, benefiting not only the innovators but also workers and other firms. However, market forces often fail to consider these externalities, leading to a lack of technologies that have substantial social value. Leaving the market to itself may not result in the optimal outcome for society.

The Role of Norms and Redistribution:
Innovation is influenced not only by economic incentives but also by norms. Building shared prosperity solely through redistribution is unlikely to be effective or sustainable. While redistribution and a robust social safety net have played important roles in the past, relying primarily on these measures is not a viable long-term solution. Instead, a balanced approach that considers both economic incentives and societal norms is necessary to guide technological development.

Actionable Advice:

1. Brands should focus on building strong transactional communities within their loyalty programs by fostering shared trust, common goals, and a sense of belonging among their customers.
2. AI developers and researchers should explore opportunities to create new tasks and activities for workers, enhancing productivity and job satisfaction.
3. Society should adopt a balanced approach to technological development, considering both economic incentives and societal norms to ensure the optimal outcome for all stakeholders.

Conclusion:
Loyalty points, social tokens, and AI development are interconnected through the concepts of trust, engagement, and productivity. By understanding the power of transactional communities and the potential of AI to create new tasks, brands and researchers can shape a future that benefits both customers and society as a whole. It is crucial to strike a balance between market forces and intervention to ensure that technological advancements align with social values and lead to shared prosperity.