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OPEC Sticks To 2024 Oil Demand Growth Forecast But Trims Q1 View

On Tuesday, OPEC stuck to its forecast for relatively strong growth in global oil demand in 2024, despite lower-than-expected use in the first quarter, saying travel and tourism would support consumption in the year’s second half.

The Organization of the Petroleum Exporting Countries, in a monthly report, said world oil demand will rise by 2.25 million barrels per day (bpd) in 2024 and by 1.85 million bpd in 2025. Both forecasts were unchanged from last month.

OPEC’s report is the latest to flag robust oil market conditions heading into the second half of the year. Oil rose 3 per cent on Monday after Goldman Sachs said transport demand would push the market into a third-quarter deficit.

OPEC said steady global economic growth has continued in the first half of 2024 and forecast that world oil demand would rise by 2.3 million bpd in the second half.

“Globally, the services sector maintains a stable momentum,” OPEC said.

“It is projected to be the main contributor to the economic growth dynamic in the second half of 2024, particularly supported by travel and tourism, with a consequent positive impact on oil demand.”

OPEC+, which groups OPEC and allies such as Russia, has implemented a series of output cuts since late 2022 to support the market. The group agreed on June 2 to extend the latest cut of 2.2 million bpd until the end of September and gradually phase it out from October.

Oil was steady after the OPEC report was released with Brent crude edging down towards $81 a barrel.

The International Energy Agency, which represents industrialised countries, expects much lower demand growth than OPEC of 1.1 million bpd and is scheduled to provide an update on its view on Wednesday.

Goldman Sachs said on Monday that solid summer transport demand will push the oil market into a third-quarter deficit of 1.3 million bpd. Figures in OPEC’s report imply an even larger gap between supply and demand.

OPEC projects demand for OPEC+ crude, or crude from OPEC plus the allied countries working with it, at 43.6 million bpd in the third quarter, much more than the group is currently pumping, according to the report.

The OPEC+ group pumped 40.92 million bpd in May, the report said, citing figures from secondary sources. That marked a drop of 123,000 bpd from April with declines in Russia and Kazakhstan offsetting increases in Nigeria and smaller African producers.

Meta Unveils Muse Wonder Models In A Bid For Frontier AI Leadership

Meta has introduced two new AI models, Muse Wonder and Muse Wonder Full, signalling a more ambitious move into frontier AI. The releases build on Muse Spark but target more demanding tasks, including coding, while placing greater emphasis on long-term memory and personalised assistance.

Larger Models Target More Demanding Tasks

Unlike Muse Spark, which was designed for low latency and lightweight use, Muse Wonder and Wonder Full are significantly larger and, according to Meta, more capable. The company reports stronger benchmark performance and improvements on demanding workloads, including coding.

According to Meta’s model card, both models achieved benchmark results comparable to Fable 5.1 and GPT-6 Astra in the company’s internal testing. Meta described the release as “the next step on our scaling ladder and a major leap toward personal superintelligence” in its announcement.

Pricing Reflects Meta’s Frontier Ambitions

The models’ pricing places them in the premium AI segment. Through the Meta Model API, Muse Wonder will cost $4 per million input tokens and $20 per million output tokens, putting it in a similar pricing tier to GPT-6 Sol and Opus 5.5.

Muse Wonder Full, by contrast, will not be offered through the API. Meta says it will be exclusive to Muse Code subscribers, tying access to its most advanced model to a premium product. Both models will also power the Muse agent.

Long-Term Memory Takes Centre Stage

Meta is increasingly positioning its AI strategy around assistants that can support users over time rather than respond only to individual prompts. A central part of that approach is what the company calls “active memory”: the ability to retain, organise and synthesise information provided by users across extended periods.

Meta points to the MemoryBench benchmark, which evaluates systems designed for continual learning and memory construction. The company says Muse Wonder now outperforms Fable, Opus and Astra on this measure.

“We put a tremendous amount of effort into making sure your model can remember what’s important to you over days, weeks, months, and beyond,” research scientist Kavya Kopparapu said in a launch video.

New Models Follow Meta’s AI Reorganisation

The launch is also significant within Meta’s broader AI strategy. It is the company’s first frontier-model release since Scale AI founder Alexandr Wang reorganised its AI operations in August 2025. Meta has since introduced Muse Spark and the Muse agent, while making fewer high-profile model announcements than competitors such as OpenAI and Anthropic.

The new models were trained at Meta’s Prometheus data centre in central Ohio, which came online earlier in 2026, according to the company. The facility highlights the growing importance of infrastructure in the race to develop advanced AI systems, where performance depends not only on algorithms and data but also on computing capacity, data-centre investment and access to capital.

As competition intensifies, Muse Wonder and Wonder Full represent a broader bet on larger models, persistent memory and premium AI products. Their longer-term significance will depend on how their reported capabilities translate into real-world performance and whether users find enough value to pay for access.

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