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Global Airline Industry Set To Hit $1 Trillion By 2025 Despite Supply Chain Turbulence

The global airline industry is on track to achieve record revenues of $1 trillion by 2025, according to the International Air Transport Association (IATA). While passenger numbers continue to rise, the sector faces persistent challenges, including aircraft supply chain disruptions and operational delays.

Record Revenue and Profit Growth

IATA projects a net profit of $36.6 billion for the airline sector in 2025, a rise from the $31.5 billion expected in 2024. Passenger traffic remains strong, with a record 5.2 billion passengers travelling in 2024. Although growth in 2025 is forecasted to be more moderate, it will still contribute to a sustained recovery following the COVID-19-induced collapse of 2020, which saw industry losses of $140 billion.

Lower fuel prices are providing some relief for airlines. Brent crude oil prices have declined by 20% over the past year, easing operating costs. The outlook is further supported by expectations of looser fiscal policies worldwide, which could bolster consumer purchasing power and drive global economic growth.

Supply Chain Disruptions Hamper Expansion

Despite positive financial projections, airlines face significant operational challenges. Strikes and technical issues at major aircraft manufacturers Boeing and Airbus have delayed deliveries of new, more fuel-efficient planes. These delays are problematic for airlines seeking to modernise their fleets and reduce fuel costs.

Boeing’s production of the 737 MAX aircraft was disrupted after a seven-week strike involving more than 70,000 employees. Following a new labour agreement that includes a 38% wage increase over four years, production has resumed. However, the backlog of more than 4,000 pending orders poses a logistical hurdle for Boeing as it seeks to meet growing airline demand.

A Look Ahead

As the airline industry edges closer to the $1 trillion revenue milestone, it must navigate both opportunities and obstacles. Rising passenger numbers and easing fuel costs are key growth drivers. However, production delays at Boeing and Airbus highlight the fragile nature of the sector’s supply chain.

The coming years will be defined by how well the industry adapts to these challenges. Airlines reliant on timely fleet upgrades may face operational setbacks, but the overall outlook remains positive. With strong global demand, increased profits, and declining fuel costs, the sector is poised for continued growth—though not without turbulence along the way.

Meta Unveils 816 Billion-Parameter AI Model For Mac, But It Requires 1TB Of RAM

Meta has introduced what it describes as the most capable open-weight AI model available in the United States, making a strategic bet on Apple’s Mac ecosystem. The release reflects the company’s ambition to strengthen its position in open AI while bringing advanced models into professional development and creative workflows.

A Powerful Model With High Hardware Requirements

Called Muse Spark Open, the model has 816 billion parameters and a context window of 1 million tokens. Meta said benchmark results published on Thursday show it outperforming other widely used open-weight systems across key evaluations.

Natively multimodal, Muse Spark Open is designed for complex coding and agentic tasks, extending beyond conventional chatbot use. However, local deployment requires substantial computing power. According to Engadget, the model needs at least 1TB of RAM, with the best performance expected on a Mac Studio equipped with Apple’s M5 Ultra chip. These requirements may limit local use to developers and organisations with access to high-end hardware.

Built For Real-World Development

Meta has paired Muse Spark Open with Muse Code, its AI coding terminal, and tested it across agentic workflows. In one project, the model helped develop a Mastodon client, handling bug fixes, new features and the build process.

The company also deployed the model in DaVinci Resolve, the professional video-editing platform, where it reviewed and cropped footage. These examples demonstrate Meta’s aim to position open-weight AI as a tool for practical production work, from software development to creative tasks, rather than just research demonstrations.

The Strategic Case For Open-Weight AI

Open-weight models give developers and organisations greater flexibility to customise AI, integrate it into internal tools and build specialised workflows. Depending on deployment, they can also reduce costs and provide more control over infrastructure than relying entirely on proprietary services.

However, access to model weights does not eliminate the cost of running advanced AI. Muse Spark Open’s reported memory requirements could make API access a more practical option for many developers than local deployment.

Expanding Access Beyond Mac Hardware

Meta is making Muse Spark Open available through multiple API platforms, allowing developers to use the model without running it on their own machines. This broadens access beyond users with high-end Mac hardware while retaining the option of local deployment for those able to support it.

The release combines Meta’s push to strengthen its position in the open-weight AI ecosystem with a focus on professional users. Wider adoption will depend on the model’s performance, practical usefulness and the resources required to run it.

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