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Saudi Arabia’s Public Investment Fund posted a 60 per cent plunge in net profit for 2024, even as its assets surpassed the US $1 trillion mark, the fund disclosed on 30 June. The drop came amid persistent high interest rates, inflationary pressures, and a wave of impairments tied to escalated costs and shifting operational plans.

Net income dwindled to 25.8 billion riyals, down sharply from 64.4 billion riyals in the prior year. This contrast underscored the divergence between headline growth and bottom‑line volatility within Saudi Arabia’s principal engine for economic diversification.

Assets under management rose by 18 per cent to 4.321 trillion riyals, up from 3.664 trillion riyals in 2023. The surge came largely from fresh capital injections, including transfers from oil‑linked revenues, plus appreciation in existing holdings, particularly in domestic champions such as Saudi Aramco and Saudi National Bank.

Yet, comprehensive income—an accounting measure that factors in unrealised gains and asset revaluations—tipped into negative territory, registering a 140 billion riyals loss following a gain of 138.1 billion riyals the previous year. The swing reflected deep writedowns, tied to project revaluations across the PIF’s footprint.

Monica Malik, chief economist at Abu Dhabi Commercial Bank, attributed the downturn in part to recalibration of investment strategies. She highlighted how “prioritisation of some projects and the extension in the timelines of some giga projects could have been a factor for the impairments,” and pointed to rising costs as another pressure point.

Among these giga‑projects is NEOM, an ambitious urban megacity on Saudi’s Red Sea coast. Backed by hundreds of billions of dollars in PIF funding, NEOM remains central to the fund’s strategy, though its scale and timeline have been under increased scrutiny amid cost inflation and changing economic dynamics.

Cash reserves stood firm at 316 billion riyals, while group loans edged up to 570 billion riyals, signalling ongoing borrowing to propel expansions. This reflects PIF’s dual posture: aggressive investment on one hand, and debt financing on the other.

Historically, PIF has been pivotal to Saudi Arabia’s Vision 2030 programme—Crown Prince Mohammed bin Salman’s blueprint to reduce national dependence on oil by building world‑class tourism, tech and renewable sectors. Since 2015, the fund’s remit expanded from passive equity holdings to sovereign‑directed mega‑investments. By end‑2024, PIF had amassed over US $1 trillion in assets, bolstered by successive Aramco asset transfers.

Its investment portfolio spans global holdings—Uber, Boeing, Disney—and domestic ventures like Qiddiya, the Red Sea luxury resort and NEOM. The fund also pursued high‑profile investments, including planned stakes in Heathrow Airport and European hotel chains. Overseeing this expansion has drawn both political and governance scrutiny, reflecting complex trade‑offs under Saudi rules.

Despite today’s profit contraction, the growth in assets cements the fund’s scale and influence. Dividends from Aramco and SNB now fuel a substantial portion of PIF’s recurring income, augmenting returns from non‑oil investments.

The portfolio writedowns—particularly impairments linked to escalated project outlays—underline broader macroeconomic challenges. High global interest rates have upped the cost of capital for long‑gestating developments, while inflation has pushed construction, labour and materials costs upward. PIF’s balance sheet has borne both pressures.

Operating amid this headwind, the fund has begun recalibrating timelines and reprioritising capital deployment. Malik’s comments suggest PIF faces a complex balancing act: stewarding mega‑projects while preserving fiscal discipline. Illiquidity risk, rising debt and market exposure also feature in ongoing risk assessments.

In parallel, PIF is broadening its footprint via bond issuances and global partnerships. According to finance industry disclosures, it is preparing a seven‑year sukuk targeting US $1.25 billion in proceeds. Such moves signal evolving financing strategies that complement traditional government funding and cash reserves.

Central to this outlook is Vision 2030. Despite the profit slump, PIF retains its mandate to catalyse non‑oil economic sectors, from tourism to tech to renewable energy. Arab regional peers have pursued similar diversification, but few match PIF’s scale. The fund’s willingness to shoulder large‑scale writedowns may reflect long‑term thinking: strategic build‑out today, stabilised returns in future decades.

Global investors and markets will likely watch upcoming quarterly and full‑year data for signs of recovery or further calibrations. Rising global interest rates remain a wildcard. Additionally, cost overruns in mega‑projects may prompt sharper scrutiny and public debate about deliverables.

PIF’s holding company, chaired by the Crown Prince, retains political backing, but governance observers continue to emphasise improved transparency and oversight. The fund’s decisions now carry wider implications: not just for returns, but as a barometer for Saudi Arabia’s Long‑Term economic strategy.

Over ninety per cent of employees in India use generative artificial intelligence tools at work, with 92 per cent logging daily use, according to a recent report by the Boston Consulting Group. This figure places India well above the global average of about 72 per cent.

The BCG study, based on a survey of 10,600 workers across 11 countries, highlights India’s prominence in integrating generative AI. Alongside this, some 17 per cent of workers report that their organisations have embedded AI agents into daily workflows, ranking India among the top three nations globally for such integration.

High adoption has come with heightened concern. Nearly half of Indian employees—48 per cent—believe their roles are at risk of disappearing within the next decade due to AI, outpacing global levels at 41 per cent. Anxiety is compounded by low levels of understanding and guidance: only 33 per cent say they comprehend how AI agents function, while just 36 per cent feel they have received adequate training.

Despite these concerns, AI is delivering tangible productivity benefits. Almost half of Indian users report saving more than an hour per day through AI assistance, yet only one‑third receive support in leveraging that time for strategic tasks. Workflow redesign is emergent as a key differentiator: companies that pivot beyond tool deployment to reengineer tasks, offer structured training, and secure leadership backing are achieving stronger outcomes.

Experts cite several critical enablers for successful AI adoption. In‑person upskilling, access to approved AI platforms, and visible executive endorsement dramatically enhance uptake. In fact, where frontline workers report robust leadership support, regular usage jumps from 41 per cent to 82 per cent.

Security and governance issues remain pressing. About 46 per cent of workers worry that AI decisions lack sufficient human oversight, 35 per cent fear bias or unfairness, and 32 per cent question accountability for errors. Parallel research highlights that 92 per cent of executives flag security vulnerabilities—ranging from cyber‑attacks to data privacy—as major hurdles in AI implementation.

India’s trajectory is supported by robust public and private investment. The UN Trade and Development’s 2025 Technology and Innovation Report names India tenth globally in private‑sector AI investment. Infrastructure initiatives, such as the IndiaAI Mission’s goal to build one of the world’s largest AI compute networks by 2027, are bolstered by efforts from academia and industry. Centres of excellence at institutions like IIT Delhi and IIIT Hyderabad, alongside corporate alliances, are driving innovation and applied AI solutions.

AI’s impact is felt across sectors. In public services, digital infrastructure and chatbots are enhancing citizen access. In agriculture, finance and healthcare, predictive analytics and generative AI are reshaping service delivery. Private‑sector growth projections suggest India’s AI services market could reach up to US $17 billion by 2027.

Nonetheless, workforce readiness remains uneven. While 74 per cent of participants in a Microsoft‑sponsored skills programme hailed from smaller towns—and 65 per cent were women—skilling delivery is uneven, with many employees still left to self‑learn or rely on unauthorised tools.

For companies seeking competitive edge, the insight is clear: widespread tool usage alone does not guarantee impact. Only by pairing AI with thoughtful workflow redesign, ethical governance and targeted training can businesses capture the full value of generative intelligence.

Easou Technology Holdings Ltd surged as much as 69 per cent to HK$7 before settling at HK$5.88, responding to a strategic 10‑year agreement with a Hong Kong tech firm to co‑develop real‑world‑asset tokenisation and digital asset products. The agreement, coupled with a letter of intent to invest up to HK$3 billion in data centre acquisitions, signals a significant pivot for the Shenzhen‑headquartered digital technology group.

The 10‑year development pact positions Easou at the forefront of a booming tokenisation trend. With the global RWA tokenisation market now valued at US$24 billion — private credit representing over half that sum — the timing gives Easou a chance to capitalise on institutional and retail appetite for immutable, on‑chain asset exposure.

Under the agreement, Easou’s partner in Hong Kong will provide technological infrastructure and regulatory insight. Together they will craft tokenised products spanning private credit, real estate and commodities, tapping into growing investor demand for fractionalised, programmable yield instruments. Analysts expect such collaboration to drive Easou’s AI‑powered content, recommendation engine, and blockchain capabilities to new heights.

Market watchers also note that Ethereum remains dominant in tokenisation — hosting about US$7.5 billion of RWA tokens — but newer blockchains such as Solana, Aptos and Avalanche are gaining ground in niche sectors. Easou’s decade‑long commitment may allow it to adapt across multiple ledger protocols and regulatory frameworks.

The announcement arrived amid a flurry of capital‑raising activity for Easou: on 20 June it placed 57.33 million shares at HK$3.20 each for gross proceeds of around HK$183.5 million, primarily earmarked for deepening its AI‑driven content ecosystem — including short drama, online gaming, content ad tech, and overseas expansion. Chairman Wang Xi also agreed to a 75‑day lock‑up on his shareholding, a gesture insurers interpret as a show of confidence.

Wang Xi described the tokenisation initiative as “a pivotal step” in building an AI‑and‑content synergy, while the capital placement strengthens Easou’s balance sheet, allowing it to invest across new domains without diluting core content investments.

Turning attention to its second headline move, Easou signed a letter of intent to deploy up to HK$3 billion towards acquiring data centres in key Asian markets, including Hong Kong, Japan or Southeast Asia. Industry sources suggest the facilities will support the computing demands of tokenisation platforms and AI workloads — marrying robust infrastructure with financial innovation.

Easou’s stock performance reflects the market’s enthusiasm. The share price rose over 8 per cent earlier in the week to HK$3.51 following the share placement announcement. The near‑tripling to HK$7 on tokenisation news demonstrates confidence in the long‑term vision and revenue potential of its dual strategy.

Still, investors caution about execution risks. Developing tokenised products requires navigating evolving global regulations, particularly in Asia. Hong Kong’s Securities and Futures Commission has signalled willingness to regulate stablecoins, custodians and tokenised offerings as part of its digital‑asset hub initiative, which includes new licensing regimes and frameworks for RWAs. Easou and its partner will need consistent compliance and adaptive governance structures over the decade‑long horizon.

Capital deployment into data infrastructure is capital intensive and faces competitive pressures from established cloud providers. Achieving scale and operational efficiency will be crucial if Easou’s data‑centre investments are to complement its tokenisation ambitions rather than become a costly diversion.

Easou’s strategy illustrates several emerging trends: the convergence of AI‑content and blockchain infrastructure; the pivot to tokenised finance underpinned by robust tech stacks; and Asia‑based companies aligning with local regulatory expansions. By investing in both digital asset innovation and foundational infrastructure, Easou aims to move beyond its role as an AI recommendation engine provider into a multi‑vector technology aggregator.