Digital Shift: How AI is Reshaping News Corp’s Business Strategy

In a disappointing turn of events, Rupert Murdoch’s News Corp has witnessed a 75% drop in profits, reaching a mere $187 million (€170 million) for the year ending in June. However, Chief Executive Robert Thomson remains optimistic, highlighting the significant role of artificial intelligence (AI) in driving revenue growth.

Shift towards digital media

A seismic shift is underway at News Corp, with digital media now accounting for more than 50% of the company’s annual revenues. This marks a transformative moment for the media giant as it embraces the digital era. Thomson firmly believes that the momentum of digital revenue is accelerating, particularly in the age of generative AI.

News Corp’s negotiations with generative AI companies

Seeking new avenues for revenue growth, News Corp is actively engaging in negotiations with generative AI companies. The objective is to secure payment for the use of its content and data to train AI systems. This move highlights the company’s recognition of the value of its vast collection of content and its potential impact in the field of AI.

Example of News Corp Australia’s use of generative AI

Earlier this year, a revelation came to light from a News Corp Australia executive, disclosing that the company was already utilizing generative AI to produce an impressive 3,000 local news items per week. This exemplifies News Corp’s commitment to harnessing AI technologies for efficient and streamlined news production.

Concerns about AI’s impact on journalism

The rise of AI-generated news stories has raised concerns among journalists who fear potential cost reductions and job losses. As AI technologies advance, the media industry may witness a shift in how news is generated, which raises questions about the future of human employees in this sector. The fear of automation replacing human journalists is a common concern shared across the industry.

Murdoch’s enthusiasm for AI despite profit decline

Surprisingly, despite the decline in profits, Rupert Murdoch, at the age of 92, remains eager to capitalize on the benefits that AI can bring to his media empire. Murdoch’s enthusiasm stems from his deep understanding of the potential that AI holds for revolutionizing the industry and diversifying revenue streams.

News Corp’s focus on AI reflects the changing media landscape

News Corp’s focused pursuit of AI as a means to boost revenue and reduce costs accurately reflects the changing landscape of the media industry. As traditional revenue sources dwindle, media companies are forced to adapt and explore new avenues for growth. AI is increasingly becoming a vital tool in this pursuit.

The Future of Human Employees in the Media Sector

With the increasing role of AI-generated content, questions arise regarding the fate of human employees in the media sector. As generative AI becomes more capable of delivering news stories in real-time, the need for traditional news production roles may diminish. The industry must grapple with the implications and find ways to embrace AI while continuing to value the human element in journalism.

News Corp’s decline in profits serves as a wake-up call for the media giant, compelling it to explore avenues for growth and profitability. Embracing AI and the transformative potential it holds, News Corp is actively leveraging the power of generative AI to drive revenue and streamline news production processes. However, the industry must navigate the challenges and implications associated with increased reliance on AI-generated content, ensuring that the media of the future strikes a delicate balance between efficiency and the human touch.

Explore more

What If Data Engineers Stopped Fighting Fires?

The global push toward artificial intelligence has placed an unprecedented demand on the architects of modern data infrastructure, yet a silent crisis of inefficiency often traps these crucial experts in a relentless cycle of reactive problem-solving. Data engineers, the individuals tasked with building and maintaining the digital pipelines that fuel every major business initiative, are increasingly bogged down by the

What Is Shaping the Future of Data Engineering?

Beyond the Pipeline: Data Engineering’s Strategic Evolution Data engineering has quietly evolved from a back-office function focused on building simple data pipelines into the strategic backbone of the modern enterprise. Once defined by Extract, Transform, Load (ETL) jobs that moved data into rigid warehouses, the field is now at the epicenter of innovation, powering everything from real-time analytics and AI-driven

Trend Analysis: Agentic AI Infrastructure

From dazzling demonstrations of autonomous task completion to the ambitious roadmaps of enterprise software, Agentic AI promises a fundamental revolution in how humans interact with technology. This wave of innovation, however, is revealing a critical vulnerability hidden beneath the surface of sophisticated models and clever prompt design: the data infrastructure that powers these autonomous systems. An emerging trend is now

Embedded Finance and BaaS – Review

The checkout button on a favorite shopping app and the instant payment to a gig worker are no longer simple transactions; they are the visible endpoints of a profound architectural shift remaking the financial industry from the inside out. The rise of Embedded Finance and Banking-as-a-Service (BaaS) represents a significant advancement in the financial services sector. This review will explore

Trend Analysis: Embedded Finance

Financial services are quietly dissolving into the digital fabric of everyday life, becoming an invisible yet essential component of non-financial applications from ride-sharing platforms to retail loyalty programs. This integration represents far more than a simple convenience; it is a fundamental re-architecting of the financial industry. At its core, this shift is transforming bank balance sheets from static pools of