AI Weekly Malaysia

Oracle has reportedly leased about 100,000 advanced AI chips to Tencent across several Southeast Asian data centers over five years, in a deal estimated at roughly $7 billion, or about $1.60 per chip-hour with about 30% upfront, according to the Financial Times. The estimated rate is around 43% below the roughly $2.80 per GPU-hour cited for standard H100 rentals, even as Tencent's James Mitchell said compute rental prices are climbing on an August 12 earnings call. Neither company has commented, and the FT says such leases are legal under current U.S. rules; the specific chip types were not disclosed.

Why: For Southeast Asian AI builders, this signals potential extra regional GPU capacity at below-standard H100 rental rates, which could change cost assumptions for training, fine-tuning, or running AI agents if Oracle's SEA data centers open similar capacity to smaller customers. Until Oracle or Tencent confirms pricing and chip availability, don't budget around $1.60/chip-hour; instead re-check SEA GPU quotes against the ~$2.80/GPU-hour H100 benchmark before locking multi-month contracts.

Butterfly Effect, the parent company of Chinese AI agent startup Manus, said in a WeChat post that it raised more than $500 million — its first round since Chinese authorities forced it to unwind a $2 billion acquisition by Meta. Boyu Capital and IDG Capital led, with existing shareholders Tencent, HSG (formerly Sequoia China) and ZhenFund participating; Manus did not disclose a valuation, having reportedly been in talks to raise $500 million at a $4 billion valuation, with ARR said to be over $100 million. Manus relocated staff to Singapore in mid-2025, resumed independent operations in August after the deal collapse (and was required to delete some user data as part of the split), is reported to be considering a Hong Kong IPO, and recently shipped Manus 2.0 plus Cue, a standalone app giving personal AI agents their own email addresses, phone numbers, digital wallets, and computers.

Why: Two concrete things to act on. First, Cue's model — agents with their own email address, phone number, wallet and machine — is a design pattern you can copy or plan around now; if you're building agents that sign up for services, receive mail, or hold funds, identity, KYC and payment-failure handling become your problem, and that's the part nobody demos. Second, the Meta unwind plus a Singapore relocation and a possible Hong Kong listing is a live signal that cross-border AI acquisitions touching Chinese-founded teams can be ordered apart after announcement — relevant if you're a SEA founder weighing acquisition or data-residency commitments, since Manus was required to delete some user data as part of the split.

Grab has spent roughly US$2.5 billion (S$3.2 billion) on acquisitions so far this year, with most of that going to financial services, especially lending, after excluding its Taiwan expansion. Disclosed deals include Stash at US$425 million, foodpanda Taiwan at US$600 million, and Atome Financial at US$1.49 billion for a 60% stake. Atome operates in Singapore, Malaysia, the Philippines, Indonesia and Thailand; the excerpt cuts off after listing those markets.

Why: Malaysian fintech and SEA startup founders should treat this as consolidation: Grab is buying lending operations and existing customer bases, such as Atome's Malaysia footprint and Stash's more than one million paying subscribers, rather than only building internally. That likely means more competition for BNPL and lending distribution in Malaysia, and a larger incumbent to either integrate with or compete against.

Singapore's Acting Minister for Manpower Jasmin Lau told Parliament on Oct 6 that one in five retrenched resident PMETs remain jobless two years after losing their jobs, and four in ten of those who do return take a median 25% pay cut. Q2 2026 saw 4,620 retrenchments, the highest since Q4 2020 and up from 3,830 in Q1, with workers in their 40s and 50s making up more than half of those retrenched and degree-holders rising from 51% of the group in 2021 to 66.4% in 2025. Over the past 14 quarters, financial services most often recorded the lowest six-month re-entry rate, followed by wholesale trade; the excerpt is cut off mid-sentence in a section headed 'Is AI to blame?', so no AI causation is stated in the text provided.

Why: This is the clearest recent regional benchmark for senior tech hiring risk: if you are a founder recruiting mid-to-senior talent out of Singapore, the 25% median pay cut on re-entry and the 40s/50s skew tell you candidates re-entering the market may accept lower cash but likely expect remote or cross-border arrangements. For Malaysian builders weighing a move to Singapore or benchmarking salaries against Singapore offers, the specific takeaway is that degree-holding, senior PMETs are the slowest cohort to re-enter, so a Singapore offer is less of an automatic safety net than it was pre-2020 — the text does not say AI caused this, and the truncated section leaves that unanswered.

MDI Ventures, the corporate venture arm of Indonesia's PT Telkom Indonesia, has widened its Southeast Asia thesis from enterprise AI to also cover AI infrastructure, governance software, real-world asset tokenisation, institutional custody and regulated digital asset infrastructure. Its sourcing starts in Singapore, with portfolio companies expected to scale into Indonesia through TelkomGroup's enterprise relationships and national infrastructure footprint. The piece cites AI taking 61% of global VC (US$260bn) in 2025, over US$2bn going into roughly 680-700 active Southeast Asian AI startups in the 12 months to June 2025 (~32% of regional private funding), even as total SEA private funding hit a six-year low of US$1.85bn across 229 deals in H1 2025.

Why: If you are building AI infrastructure, compliance/governance tooling, tokenisation or custody products in Southeast Asia, this tells you the money is concentrated: Singapore took ~57% of regional AI funding (495 startups, US$1.31bn), so a Singapore entity plus an Indonesia go-to-market via a telco partner is the shape being funded. For everyone else, treat the headline AI number carefully - it sits on top of a six-year funding low, so 'AI is 32% of SEA private funding' means the non-AI pool shrank, not that capital got easier. The text says nothing about Malaysia, so do not read a Malaysian opportunity into it beyond the regional pattern.