How companies drift into unethical behavior

Billy Odell Tucker-Robinson Founder & Host — Banking With Billy Network • Intelligence Network • Data Science • AI Research • World News
Published: 2026-10-08T20:46:14.335Z • Permanent link

A recent study from ESMT Berlin has shed light on a concerning phenomenon that has been quietly unfolding within organizations worldwide. The researchers have discovered how employees can collectively drift into unethical behavior as groups gradually reshape what they perceive as ethical or acceptable. This subtle yet insidious process can have far-reaching consequences, particularly in industries where data-driven decision-making is paramount.

At the heart of the issue lies the notion of "normative drift," where a group's collective behavior becomes increasingly deviant from established norms. This phenomenon can be triggered by various factors, including changes in leadership, shifting cultural values, or the introduction of new technologies. In the world of data-driven industries, such as finance and healthcare, the consequences of normative drift can be devastating. For instance, the Wells Fargo fake accounts scandal in 2016, where employees created millions of unauthorized accounts, is a stark reminder of the dangers of unchecked normative drift.

Meanwhile, another high-profile example is the Cambridge Analytica data scandal, where a British consulting firm harvested millions of Facebook user data without consent. This brazen breach of data protection regulations highlights the need for vigilance in the face of normative drift. As institutions and industries continue to grapple with the implications of data-driven decision-making, it is essential to understand the dynamics of normative drift and take proactive steps to prevent such incidents from occurring.

The implications of normative drift are far-reaching and have significant real-world consequences. For companies operating in the data-driven industries, the risk of normative drift can lead to reputational damage, financial losses, and regulatory penalties. Research communities, policymakers, and regulators must take note of this phenomenon to develop effective strategies for mitigating its effects.

One notable example of the impact of normative drift is the growing concern over data exploitation in the tech industry. Companies such as Google, Facebook, and Amazon have faced intense scrutiny over their handling of user data, with some critics accusing them of perpetuating a culture of exploitation. The consequences of these actions can be severe, including regulatory fines, public backlash, and damage to brand reputation.

Moreover, the risk of normative drift also extends to the broader policy environment. As data-driven decision-making becomes increasingly prevalent, policymakers must ensure that regulations and laws keep pace with the evolving landscape. Failure to do so can result in a regulatory environment that is inadequate to address the complex challenges posed by normative drift.