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

Can a Unified ERP System Future-Proof Levi Strauss?

Establishing a seamless digital environment for a brand that spans over a hundred nations is a monumental undertaking that requires more than just standard software updates. Currently, Levi Strauss & Co. is navigating a profound transformation of its digital infrastructure, aiming for a mid-2027 completion of a fully integrated global enterprise resource planning system. This strategic overhaul is not merely

Ethereum Faces $10 Billion Liquidation Risk Near $2,000

The current trajectory of Ethereum suggests a massive collision between aggressive retail speculation and sophisticated institutional sell-side pressure as the asset hovers near the $2,000 psychological threshold. This specific price point has historically served as a pivot for broader market sentiment, influencing the behavior of various decentralized finance protocols and secondary layer-two scaling solutions. Currently, the market exhibits a state

ClickLock Malware Coerces macOS Users to Surrender Passwords

Traditional macOS security architectures have long been celebrated for their robust sandboxing and gated execution, yet a new strain of malware is proving that the human element remains the most vulnerable entry point in any digital ecosystem. This threat, known as ClickLock, has emerged as a particularly aggressive evolution in the macOS threat landscape by prioritizing psychological pressure and social

Stalled Windows 11 Migration Poses Growing Security Risks

The global landscape of enterprise computing is currently grappling with a persistent digital divide as a significant segment of users continues to rely on Windows 10 despite the availability of more secure alternatives. The current ecosystem of digital infrastructure remains tethered to legacy architecture, with recent telemetry indicating that approximately one in six workstations worldwide continues to operate on Windows

How Is OpenAI Redefining AI With Precision Engineering?

The shift from experimental conversationalists to precise engineering tools has fundamentally altered the landscape of digital productivity and high-performance computing in 2026. This transition is marked by a move away from the early excitement surrounding generative models toward a rigorous framework centered on deep optimization and granular control. OpenAI has spearheaded this movement with the introduction of the GPT-5.6 Sol