AI Regulatory Violations: Brace for Legal Challenges Ahead

Get Ready for A Lot of AI Regulatory Violation Lawsuits

As we approach 2028, the landscape for technology companies is set to shift dramatically, with a projected 30% increase in legal disputes stemming from AI regulatory violations. This alarming trend is underscored by a recent survey conducted by Gartner.

Survey Insights

Between May and June 2025, Gartner surveyed 360 IT leaders involved in the deployment of generative AI (genAI) tools. The results revealed that over 70% of these leaders consider regulatory compliance one of their top three challenges when implementing genAI productivity assistants.

Moreover, only 23% of respondents expressed strong confidence in their organizations’ ability to manage the security and governance aspects of rolling out genAI tools.

The Impact of Global Regulations

According to Lydia Clougherty Jones, a Senior Director Analyst at Gartner, “Global AI regulations vary widely, reflecting each country’s assessment of its appropriate alignment of AI leadership, innovation, and agility with risk mitigation priorities.” This inconsistency results in complicated compliance obligations for businesses, making it difficult to align AI investments with measurable enterprise value and exposing them to various liabilities.

Geopolitical Factors

The geopolitical climate also plays a significant role in shaping AI strategies. In the same survey, 57% of non-U.S. IT leaders reported that the geopolitical environment moderately impacts their genAI strategies, while 19% stated it has a significant effect. Despite this, nearly 60% of these respondents are either unable or unwilling to adopt non-U.S. genAI tool alternatives.

AI Sovereignty Sentiment

A subsequent Gartner webinar poll conducted on September 3, 2025, revealed that 40% of 489 respondents have a positive sentiment towards AI sovereignty, which refers to a nation-state’s control over the development, deployment, and governance of AI technologies. Meanwhile, 36% of the respondents maintained a neutral stance, indicating a “wait and see” approach.

Additionally, 66% of respondents are proactively engaging with sovereign AI strategies, and 52% reported making strategic or operational changes in response to these strategies.

Recommended Actions for IT Leaders

In light of the increasing prevalence of genAI tools amidst fluctuating geopolitical and legal environments, Gartner advises IT leaders to take several proactive measures:

  • Engineering self-correction to adapt to regulatory changes.
  • Creating rigorous use-case review procedures to mitigate risks.
  • Increasing model testing and sandboxing to ensure compliance.
  • Injecting content moderation techniques into their systems to enhance governance.

As the regulatory landscape continues to evolve, it is crucial for technology companies to stay informed and adapt their strategies accordingly to navigate the complexities of AI compliance.

More Insights

Rethinking AI Innovation: Beyond Competition to Collaboration

The relentless pursuit of artificial intelligence is reshaping our world, challenging our ethics, and redefining what it means to be human. As the pace of AI innovation accelerates without a clear...

Pakistan’s Ambitious National AI Policy: A Path to Innovation and Job Creation

Pakistan has introduced an ambitious National AI Policy aimed at building a $2.7 billion domestic AI market in five years, focusing on innovation, skills, ethical use, and international collaboration...

Implementing Ethical AI Governance for Long-Term Success

This practical guide emphasizes the critical need for ethical governance in AI deployment, detailing actionable steps for organizations to manage ethical risks and integrate ethical principles into...

Transforming Higher Education with AI: Strategies for Success

Artificial intelligence is transforming higher education by enhancing teaching, learning, and operations, providing personalized support for student success and improving institutional resilience. As...

AI Governance for Sustainable Growth in Africa

Artificial Intelligence (AI) is transforming various sectors in Africa, but responsible governance is essential to mitigate risks such as bias and privacy violations. Ghana's newly launched National...

AI Disruption: Preparing for the Workforce Transformation

The AI economic transformation is underway, with companies like IBM and Salesforce laying off employees in favor of automation. As concerns about job losses mount, policymakers must understand public...

Accountability in the Age of AI Workforces

Digital labor is increasingly prevalent in the workplace, yet there are few established rules governing its use. Executives face the challenge of defining operational guidelines and responsibilities...

Anthropic Launches Petri Tool for Automated AI Safety Audits

Anthropic has launched Petri, an open-source AI safety auditing tool that automates the testing of large language models for risky behaviors. The tool aims to enhance collaboration and standardization...

EU AI Act and GDPR: Finding Common Ground

The EU AI Act is increasingly relevant to legal professionals, drawing parallels with the GDPR in areas such as risk management and accountability. Both regulations emphasize transparency and require...