As artificial intelligence alters the methods of information creation, dissemination, and consumption, a vigorous global competition is underway to ascertain who, in fact, will become the legitimate masters of information in the age of AI. Technology companies, national governments, and new groups of digital gatekeepers are each fighting to develop standards, establish infrastructures, and accumulate the “data capital” that will ultimately determine influence, power, and wealth for decades to come.
The Concentration of AI Power: From Data to Dominance
The last twelve months have been characterized by increasing consolidation in the AI industry. A select group of industry leaders and innovators (major cloud providers, foundational model builders, and various interdisciplinary research consortiums) have light years ahead of the competition as custodians of the world’s most advanced systems, not only because they have the biggest, cleanest data sets, but also because they have assembled top talent, continued to improve their models, and reduced time to market for AI solutions across all areas of the economy.
Knowledge management has now landed center stage in organizational strategy, with AI automating the discovery, curation, and dissemination of insights that are critical to decision making. Business and agency entities that are incrementally working to modernize their infrastructure, develop AI talent, and build governance are the ones realizing the most value. All those left behind are lagging in their progress, while resources become an increasable factor toward competitive advantage.
Who Sets the Rules? Government vs. Industry
The competition will not just be limited to the private sector. Governments, and in particular the U.S. government under the most recent AI Action Plan published by President Trump, view AI as essential for protection of national security as well as maintaining and promoting economic prosperity. The White House published a highly visible document in July 2025 that outlines a bold policy agenda addressing how the U.S. will win what has been called the “information revolution,” and that the U.S. will be at the front end of establishing world-wide standards for artificial intelligence through a large increase in research, education and upskilling, and regulatory activities designed to speed up beneficial innovation.
This policy initiative is framing AI in the 21st century has the same context as the space race, where ability to simply process, analyze and regulate the flow of information – not generation of it – will determine what countries or alliances economically and strategically stay on top.
The Dilemma of Digital Gatekeepers
As volumes of knowledge are synthesized and filtered by algorithms, awareness is growing around the role of “digital gatekeepers.” In particular, large language models can now summarize, contextualize, and even generate creative outputs that are indistinguishable from human scholarship or journalism. This may provide efficiency and access, but opens a door to manipulation, unintentional distortion, and stratified inequity between those who have early or full access to large language models and patient change, and those who do not.
Many AI experts and stakeholders from the public vocally demand new transparency mandates. Demands are coalescing around auditing models openly, independent oversight, strong data privacy protections, and broader representation in the design and governance of these systems to avoid inadvertent bias and “information monopolies.”
Information Inequality and the New Digital Divide
Recent surveys completed in 2025 demonstrate that optimism about the benefits of AI is high among technology executives and employees, and the general public is anxious-, especially regarding the role of AI shaping news, elections, and civic discourse. The results indicate that approaching or exceeding half of Americans, as well as those working or studying in AI, express a desire for stronger laws governing AI applications, or at a minimum, a fear that industry-unrestrained dominance will accrue informational and social power in too few hands.
Access to quality information, education, and digital literacy will further shape who is benefitting most from the AI revolution. As a clear mandate, there are signals that emerging public-private partnerships, advancing AI education as a new public good, and algorithms that plan for “algorithmic equity” have emerged to play a critical role in better balancing power in this system.
Masters of Information, or Stewards of Knowledge?
In the next ten years, the real “masters of information” will not simply be those with the largest – datasets, data dictionaries, or fastest chips, but leaders combining technical expertise, ethical stewardship, access, creativity, and trust. In increasingly fragmented public discourses and disinformation markets, leaders, organizations, and decision-makers from every sector should invest in explainable and “fair” AI, increased oversight, and collaborative efforts to work toward not just the abundance of information, but the integrity and inclusivity of information.
