Meta debuted its first major AI model, Muse Spark, spearheaded by chief AI officer Alexandr Wang, who joined nine months ago and leads Meta Superintelligence Labs. The company said improved AI training techniques along with rebuilt technology infrastructure has enabled the company to create smaller AI models that are as capable as its older midsize Llama 4 variant for 'an order of magnitude less compute.' Muse Spark offers competitive performance in multimodal perception, reasoning, health, and agentic tasks. Muse Spark scores 52 on the Artificial Analysis Intelligence Index, behind only Gemini 3.1 Pro, GPT-5.4, and Claude Opus 4.6. For context, Llama 4 Maverick and Scout scored 18 and 13 respectively on the Artificial Analysis Intelligence Index as non-reasoning models at the time of their release, while Muse Spark scores 52.

Meta is desperate to regain momentum in the fiercely competitive AI market following the disappointing debut of its latest open-source models last April. The release failed to captivate developers, leading CEO Mark Zuckerberg to change his strategy. Wang joined Meta in June as part of the company's $14.3 billion investment in Scale AI, where he was CEO. In its latest earnings report, Meta said its AI-related capital expenditures in 2026 will be between $115 billion and $135 billion, or nearly twice its capex last year. The new Muse Spark will be proprietary, with the company saying there is 'hope to open-source future versions of the model.' The company had been taking an open-source approach to AI with its Llama family of models.

The stakes are massive, as the global generative AI market is estimated to grow more than 40% a year, climbing from about $22 billion in 2025 to almost $325 billion by 2033, according to Grand View Research. OpenAI and Anthropic are now collectively valued at over $1 trillion, and Google's Gemini technology and services have gained traction, particularly in the consumer market. The new model now powers the company's digital assistant in the standalone Meta AI app and desktop website. Muse Spark will debut in the coming weeks inside Facebook, Instagram, WhatsApp and Messenger, as well as in the company's Ray-Ban Meta AI glasses. For now, Muse Spark is only available in the United States.

Activity similarly picked up in the investment market in the second half as several major assets changed hands in Japan and Australia and an increasing number of groups targeted Southeast Asia for investment and development opportunities. Asia-Pacific has emerged as a top priority for global chief executives and institutional investors, who expect stronger economic conditions, rising deal activity and increased artificial intelligence spending heading into 2026. The respondents represent more than AUD $28.5 trillion in company and portfolio value. Australian businesses are positioned to benefit from Meta's pivot to proprietary models as enterprises seek competitive AI solutions beyond open-source alternatives.

Australian Enterprises Eye Meta's AI Capabilities

CEOs believe India will surpass China in strategic importance within 10 years. They view India as a long-term demand engine and a key source of talent. Major global hyperscalers and domestic enterprises made significant investments and operational expansions in India in 2025; a trend set to continue this year, with Hyderabad a focal point. IDC predicts that by 2026, capabilities such as prompt engineering, retrieval-augmented generation (RAG), small-model selection, and fine-tuning will be required in 80% of top GenAI teams in APeJ. India's tech workforce will be crucial for Meta's enterprise AI rollout across the subcontinent.

India Emerges as Strategic AI Battleground

Singapore's two new tranches of data centre development capacity totalling 1.2 GW should ensure the city-state remains a premium high-quality hub for specialised AI workloads while pushing larger requirements to neighbouring Southeast Asia. In Southeast Asia, Meta is expanding its presence beyond Singapore through projects in Johor, Malaysia, and Batam, Indonesia areas offering lower grid congestion and proximity to undersea cable routes. Singapore's financial services and trading firms are likely early adopters of Muse Spark's reasoning capabilities for complex analytical tasks.

Singapore Remains APAC AI Hub Despite Regional Expansion

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Social media giant launches first AI model under new Superintelligence Labs chief Alexandr Wang.

Forecasts for aggregate hyperscaler capital expenditure in 2026 are north of USD 400 billion globally, with the likes of Google, AWS, Microsoft, Oracle and Meta committing to scaling up AI infrastructure as they look to transform CPU to GPU deployment. Asia Pacific will be a key recipient of this investment. The company has accelerated site acquisitions and energy negotiations in Southeast Asia, India, LATAM, MENA, and Africa, marking the emergence of a new regional diversification strategy. In Southeast Asia, Meta is expanding its presence beyond Singapore through projects in Johor, Malaysia, and Batam, Indonesia areas offering lower grid congestion and proximity to undersea cable routes.

Asia/Pacific enterprises are entering a new phase of artificial intelligence adoption as experimentation gives way to industrialization. Generative and agentic AI systems are no longer side projects or productivity add-ons; they are becoming the backbone of how organizations automate work, make decisions, and compete in volatile markets. Teneo said 82% of surveyed CEOs see the region as an attractive investment opportunity for their business in 2026. Some 68% of CEOs plan to increase AI spending.

Company's infrastructure investments target Asia Pacific's $400B hyperscaler spending boom.

Meta's AI Pivot Signals APAC Enterprise Opportunity

Meta Debuts Muse Spark, Pivots Strategy After $14B Investment

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Meta Debuts Muse Spark, Pivots Strategy After $14B Investment