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IATA Reports 3.8% Increase In Global Air Travel Demand

The International Air Transport Association (IATA) reported that global air travel demand increased in January 2026, with revenue passenger kilometres (RPK) rising by 3.8% compared with the same month a year earlier. Available seat kilometres (ASK) increased by 3.5%, while the global passenger load factor reached 82%, the highest level recorded for January

Record Load Factors And International Growth

International travel recorded stronger growth than domestic markets. Passenger demand on international routes increased by 5.9%, while capacity expanded by 5.8% compared with January 2025. These figures brought the international load factor to 82.5%, the highest level recorded for January in this segment. Domestic markets recorded more limited changes. Demand increased by 0.1%, while capacity declined by 0.4%. The domestic load factor reached 81.2%.

Impact Of Lunar New Year Timing

IATA noted that the timing of the Lunar New Year influenced year-over-year comparisons. In 2025, the holiday occurred in January, while in 2026 it fell in February. According to IATA Director General Willie Walsh, this calendar shift partly explains the 3.8% increase recorded for January. Walsh said underlying travel demand in 2026 continues to show growth.

Outlook And Strategic Implications

Industry schedules indicate that global seat capacity could increase by 5.2% by March, which would represent the fastest expansion since April 2024. Walsh also noted that geopolitical developments may affect passenger demand and fuel costs. He said governments should continue to protect civil aviation operations and ensure passenger safety.

Regional Trends And Market Dynamics

Airlines in the Asia-Pacific region reported a 4.4% increase in demand while capacity increased by 5.2%. Load factors in the region reached 85.9%. European carriers recorded demand growth of 6.3%, while North American airlines reported a 3.4% increase. Latin American airlines saw demand rise by 11.4% and capacity by 8.9%, resulting in a load factor of 86.5%. African airlines also recorded increases, with demand rising by 11.7% and capacity by 10.1%.

Looking Ahead

Walsh said average airfares are expected to decline in real terms during 2026, continuing a long-term trend in the aviation sector. At the same time, airlines continue to face higher costs related to infrastructure charges, regulatory requirements and energy transition policies. He also noted that 2025 recorded the slowest pace of new airline start-ups since 1999. According to Walsh, this development may raise questions for governments focused on maintaining competition in the aviation industry. The report also points to ongoing challenges for airlines as the industry expands capacity and adapts to regulatory and cost pressures.

AI Spending Is Complicating The Fed’s Fight Against Inflation

Silicon Valley leaders have long argued that artificial intelligence will make technology and services dramatically cheaper. OpenAI CEO Sam Altman has described a future where intelligence becomes extremely inexpensive, while Tesla and SpaceX CEO Elon Musk has predicted that AI and robotics will create greater abundance and drive down costs.

So far, those benefits have yet to materialise at scale. AI adoption remains relatively slow, while the enormous investment needed for data centres and AI infrastructure is putting pressure on electricity prices, supply chains and other costs. For the Federal Reserve, this creates a difficult balancing act: AI could eventually boost productivity and reduce inflation, but its current buildout is contributing to higher prices.

OpenAI chief economist Ronnie Chatterji said AI needs to be adopted by organisations and generate measurable value before its broader economic impact becomes visible in productivity statistics.

AI Adoption Remains Uneven

Capital spending on AI infrastructure in the U.S. is expected to reach $581 billion this year, according to Goldman Sachs Research, with global investment potentially reaching $1 trillion.

Despite the scale of spending, adoption remains far from universal. A May survey by the U.S. Census Bureau found that 17% to 20% of U.S. businesses reported using AI, with adoption significantly higher among large companies.

Companies that have implemented AI at scale also highlight the challenges. Julie Averill, former CIO of Lululemon, said successful deployment requires changes in employee behaviour and trust in the technology. OpenAI has observed a similar divide: its most advanced business users deploy AI at around eight times the rate of average companies.

Why Productivity Gains May Take Time

Economists point to the limits of automation. AI can perform individual tasks effectively, but many jobs combine tasks that are difficult to automate.

Stanford professor Charles Jones refers to these as “weak links”. Radiology, for example, involves interpreting scans but also communicating with patients and working with colleagues. AI can automate part of the job without eliminating the profession itself.

As a result, the full economic impact of AI may not become clear until businesses adopt the technology more broadly and reorganise their operations around it.

AI Adds To The Fed’s Policy Challenge

AI’s economic impact has become part of the Federal Reserve’s policy debate. Fed Chairman Kevin Warsh has argued that AI could eventually become a significant disinflationary force by increasing productivity and strengthening U.S. competitiveness.

Other officials are more cautious. In July, the Fed kept interest rates at 3.5% to 3.75%, while some officials expressed concern that AI infrastructure spending could add to inflationary pressures.

Minneapolis Fed President Neel Kashkari pointed to massive data-centre investment as a new source of demand. Household electricity prices rose 10% in the two years through July, compared with a 6.2% increase in overall consumer prices. Meanwhile, shortages of chips and other AI components are pushing up costs. JPMorgan Chase estimates that DRAM prices could rise 400% by the end of 2026 compared with 2024.

Warsh has consequently adopted a more cautious tone, saying that while AI investment is laying the groundwork for future growth, the timing and scale of its economic effects remain difficult to predict.

For the Fed, the challenge is clear: AI could eventually deliver major productivity gains, but the cost of building that future is already showing up in the economy.

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