How AI is changing economics of media market
YEREVAN, March 24. /ARKA/. Every technological transformation in media follows a similar path: first, the tools change, then the industry's economics. Artificial intelligence is already beginning to enter this second stage. It is beginning to change not so much the methods of content creation as the cost and scale of its production.
News production is becoming scalable
Journalism has traditionally been an expensive form of content. Newsrooms incur costs for journalists, editors, information monitoring, analytics, and production. For a long time, there was a direct correlation: the volume of content was determined by the number of employees.
AI is beginning to break this link
A telling example is the automation of corporate reporting news at the Associated Press. Back in July 2014, the agency, in partnership with Automated Insights, implemented algorithmic generation of quarterly financial materials. Before automation, the editorial staff manually prepared about 300 such publications per quarter. Afterward, the number increased to over 3,700, representing a roughly 12-fold increase, according to AP data for 2017. At the same time, the agency freed up approximately 20% of journalists' time, allowing them to focus on investigations and analysis.
Content is becoming a scalable resource—and this is precisely what is changing the economics of the entire industry.
A new news infrastructure is emerging
AI is changing not only production but also the way we work with information. Algorithms make it possible to analyze large data sets, monitor information flows in real time, and structure data before journalists begin working.
Major media organizations are already moving toward this model. The Wall Street Journal and Yahoo News will implement AI functions in 2024–2025. This confirms a broader shift in newsrooms toward using AI to process and structure information.
As a result, newsrooms are able to process significantly more information with the same resources. This marks a shift from a "manual production" model to a model of information flow management.
The barrier to entry is lowering, but new constraints are emerging
Automation of certain stages of the editorial process also impacts the competitive landscape. AI reduces operating costs when launching new media: news monitoring, data analysis, drafting materials, and optimizing content distribution are all becoming more accessible.
At the same time, another aspect must be considered: the implementation of algorithmic journalism requires data scientists, technologists, and IT specialists capable of developing and maintaining systems. This creates a new technological barrier to entry, particularly significant for small regional newsrooms.
The outcome is mixed: the media environment is becoming more competitive and fragmented, but the advantage lies with players with access to technological expertise, not just financial resources.
A New Scarcity is Emerging
The growth of content is changing the value structure. Whereas information was once scarce, in the face of its abundance, trust is becoming a key resource.
This trend is confirmed by data from the Reuters Institute: by the end of 2025, approximately 12% of the audience says they are comfortable with news created primarily using AI, compared to 62% with news produced entirely by humans—a fivefold difference. Moreover, comfort with AI increases significantly when AI is used alongside a leading human journalist.
Under these conditions, the importance of original analysis, investigative journalism, expert interpretation, and media reputation increases.
AI reduces the cost of news production while simultaneously increasing the value of quality journalism.
The ARKA Case: How AI is being implemented in the local media market
The practice of implementing AI is gradually spreading not only among global media brands but also to regional markets. In Armenia, one example of this transformation is the ARKA news agency.
AI is used in editorial work in several areas: preparing news digests, monitoring the information landscape, translating materials, and working with data. Specifically, monitoring systems allow for the automatic detection and structuring of a significant volume of news content related to Armenia, expanding coverage without a proportional increase in staff.
According to internal editorial estimates, the implementation of AI has reduced the agency's information processing time by approximately half.
At the same time, the volume of content produced has increased significantly, both due to automated monitoring and the acceleration of editorial processes.
At the same time, the editorial workload is not reduced, but rather redistributed. Reducing routine tasks—such as interview transcription, initial information processing, and drafting—allows journalists and editors to focus on more complex tasks: analysis, interpretation, and working with sources. A new role is emerging within the editorial structure: the AI editor, responsible, among other things, for fact-checking, compliance with agency standards, and mitigating reputational risks.
It remains fundamental that the final decision always rests with a human. In this case, AI is not a replacement for journalists, but a tool and infrastructure that expands their capabilities.
The ARKA news agency's experience confirms a general trend: the introduction of AI doesn't simplify journalism, but rather makes it more technologically advanced, increasing the demands on quality, expertise, and editorial control.
Conclusion
Artificial intelligence is changing the media market economy on several levels: it increases the scale of content production, reduces operational barriers to entry (while new technological barriers emerge), intensifies competition, and shifts value toward trust and expertise.
Under these conditions, the competitive advantage lies not with editorial offices that simply implement AI, but with those that restructure their processes and business models to accommodate new technological capabilities while maintaining editorial standards that audiences are willing to trust.
Konstantin Petrosov
Director of ARKA News Agency
