Capital & Industrial Strategy

Meta has committed an additional $21 billion to CoreWeave for AI computing capacity through December 2032, according to The Wall Street Journal and CNBC. The spending, deployed between 2027 and 2032, follows Meta's release of its Muse Spark model — a competitive bid to catch up with OpenAI and Anthropic after analysts questioned whether Meta had fallen too far behind. Bloomberg reports CoreWeave is now tapping the junk debt market to finance the infrastructure build, indicating the startup is leveraging long-term hyperscaler contracts to raise capital against future revenue. This mirrors the playbook used during the cloud infrastructure boom, where equipment lessors and colocation providers financed capacity expansions with multi-year commitments from AWS and Microsoft.

The deal underscores a structural shift: hyperscalers are outsourcing capital-intensive GPU cluster buildouts to specialists, preserving balance sheet flexibility while locking in compute at scale. For CoreWeave, the Meta contract de-risks its debt issuance and extends its order visibility through the end of the decade. For Meta, it signals confidence that third-party infrastructure can match or exceed internal build economics — a critical assumption given the company's late entry into frontier model competition. JPMorgan views the Muse Spark launch and accompanying infrastructure commitments as a turning point for Meta's stock, suggesting investor sentiment is shifting from scepticism to belief that Meta can monetise its AI investments.

OpenAI has paused its UK data centre project, citing high energy costs and regulatory uncertainty, according to The Financial Times, BBC, and Reuters. The project, announced in September in partnership with Nvidia and Nscale, was intended to anchor Britain's ambition to build sovereign AI infrastructure. Semafor and CNBC report the decision reflects broader concerns about European regulatory frameworks and energy economics, with OpenAI prioritising capital deployment in markets with clearer policy support and lower operating costs. The pause is a significant blow to Prime Minister Starmer's effort to position the UK as an AI superpower, and it raises questions about whether other planned data centre investments from US firms will follow.

The decision comes as OpenAI faces pressure to demonstrate capital discipline ahead of a potential IPO. Reuters reports Florida's Attorney General has opened a probe into OpenAI ahead of its potential public offering, adding regulatory scrutiny in the US to the mix. The UK withdrawal suggests OpenAI is prioritising markets where it can secure reliable energy supply and regulatory clarity over symbolic investments in allied nations. For the UK, the episode exposes the limits of industrial policy that relies on attracting foreign capital without addressing underlying cost and regulatory competitiveness.

Alibaba's cloud division led a 2 billion yuan ($293 million) funding round for ShengShu Technology, an AI video generation startup, according to Bloomberg and CNBC. ShengShu plans to use the capital to develop a general world model — a foundation model architecture designed to simulate physical environments and enable robotics applications. Separately, Bloomberg reports a stealth video generation model from an Alibaba team swept to the top of global benchmarks on debut, sending ripples across China's AI industry. The dual announcements reflect Alibaba's strategy to dominate both cloud infrastructure and application-layer AI in China, while positioning itself for the next wave of robotics-enabled industrial automation.

The Financial Times reports Alibaba is shifting away from open-source AI models in favour of revenue-generating closed offerings, a move that may affect the global developer community relying on its Qwen models. The pivot suggests Alibaba is under pressure to monetise its AI investments as China's regulatory environment and competitive dynamics evolve. Semafor notes AI has enabled China's microdrama industry to launch 470 new titles daily in January alone, illustrating the speed at which Chinese firms are industrialising AI-generated content. Alibaba's world model investment positions it to extend this playbook into physical-world applications, where China's manufacturing and logistics sectors offer immediate commercial opportunities.

The Financial Times reports Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell convened an urgent meeting with US bank CEOs to discuss cyber risks posed by Anthropic's latest AI system, which detected decades-old vulnerabilities in financial infrastructure. Bloomberg confirms the meeting reflects growing regulatory concern that AI-enabled vulnerability scanning could trigger coordinated attacks on financial systems before institutions can patch exposed weaknesses. The episode underscores a paradox: AI models capable of identifying systemic flaws also create a compressed window for adversaries to exploit them, forcing regulators to treat model deployment as a potential source of financial instability.

The incident comes as Reuters reports the Pentagon ousted Anthropic from a key defence contract, opening doors for smaller AI rivals. The regulatory backlash against Anthropic's cyber capabilities may have spillover effects on its commercial prospects, particularly if banking and defence customers conclude the model's dual-use potential outweighs its operational benefits. Reuters reports Anthropic is weighing building its own AI chips, a move that could signal a strategic pivot to reduce dependence on Nvidia and vertically integrate its supply chain — but also raises questions about capital allocation at a moment when regulatory headwinds are intensifying.

Amazon CEO Andy Jassy used his annual shareholder letter to defend the company's $200 billion AI capital expenditure plan, declaring Amazon will not be conservative in its investments, according to The Wall Street Journal, CNBC, and Reuters. Jassy's letter explicitly targets Nvidia, Intel, and Starlink as competitors Amazon must counter through vertical integration and infrastructure control. CNBC reports Jassy disclosed that Amazon's AI business is generating revenue but did not provide specific figures, a move likely intended to reassure investors that capex is translating into commercial traction. Amazon shares have struggled this year as investors question whether AI spending will deliver returns commensurate with the capital deployed.

Semafor places Jassy's letter in the context of broader US tech giant capex doubling-down despite lingering bubble concerns and energy shocks from the Middle East conflict. The letter signals Amazon views AI infrastructure as a winner-take-all competition, where failure to invest at scale risks ceding cloud market share to Microsoft and Google. CNBC reports Google has expanded its partnership with Intel for AI chips, committing to multiple generations of Intel silicon for data centres — a direct challenge to Nvidia's dominance and a signal that hyperscalers are diversifying chip suppliers to reduce dependency. Amazon's $200 billion commitment reflects a similar strategic logic: control the infrastructure stack or risk losing pricing power and customer lock-in to rivals.