By 2028, half of all organisations are expected to adopt a zero-trust approach to data governance due to the rapid spread of unverified AI-generated data. Gartner emphasizes that trust in data can no longer be assumed, urging organisations to implement stricter verification mechanisms to safeguard against potential risks.
The Department of Transportation is leveraging Google Gemini to rapidly draft binding regulations across aviation, automotive, railroad, and maritime sectors. While this approach could reduce regulation timelines from months to as little as 30 days, concerns remain about the accuracy and reliability of AI-generated rules in critical safety areas.
On January 14, 2026, the FDA and EMA released guiding principles for the ethical and risk-based use of AI in drug development. These principles outline a governance framework to support future regulatory guidance and encourage proactive engagement with regulators.
As state legislators increasingly scrutinize artificial intelligence (AI) tools used for employee compensation, several states have introduced bills to reduce potential discriminatory effects. Employers are encouraged to comply with these emerging regulations and establish transparent AI policies to mitigate legal risks.
The global AI maturity assessment market is projected to grow from USD 1.52 billion in 2025 to approximately USD 5.38 billion by 2035, expanding at a CAGR of 13.48%. This growth is driven by organizations aiming to evaluate and optimize their AI capabilities for measurable business impact while ensuring compliance and security.
In 2026, AI governance evolves beyond policy into a critical operational challenge for government institutions, requiring practical controls to manage AI systems that influence outcomes. Agencies must shift from theoretical frameworks to effective governance and monitoring to address AI’s embedded role in operations.
After reviewing over 40 hours of discussions from Davos 2026 on AI governance, the key takeaway is clear: it’s time to shift from experimentation to governance. The conference highlighted major themes such as the urgent need for political engagement in AI regulation and the evolving responsibilities of corporate leaders in the intelligent age.
EU lawmakers are speeding up amendments to the AI Act, with a first redraft expected next week. The European Parliament aims to finalize the proposal before key obligations in August and reach a political agreement with EU member states by April.
The recent White House AI report highlights a significant global economic divide driven by rapid AI advancements and their effects on legal technology. Despite 78% of organizations using AI, only 10% have integrated it into core workflows, urging legal professionals to evaluate their AI adoption to stay competitive.
On December 11, 2025, President Trump signed an executive order aimed at reducing state regulation of artificial intelligence to enhance U.S. AI leadership. While existing state laws remain enforceable, the order directs federal actions to challenge conflicting state regulations.