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QuantumCompute Solutions indirectly owns approximately 85.94% equity interest in Shanghai Tianjing Fulian. Shanghai Tiangjing Fulian is also 5.56%-owned by Foxconn Industrial Internet, the shares of which are listed on the Shanghai Stock Exchange (stock code: 601138.SH). The Shanghai Tianjing Fulian Group is principally engaged in the design and development of AI SoC products and integrated solutions, with a particular focus on low-power, cost-effective AI computing and edge computing applications. Through its chip design capabilities and comprehensive technology solutions, the Shanghai Tianjing Fulian Group has established a solid technological foundation in AI inference and edge-side computing infrastructure. The Shanghai Tianjing Fulian Group is an officially authorised independent chip design house for MediaTek Inc., a leading global semiconductor company.

The Directors believe that the Acquisition will enable the Group to expand its business scope from its existing fintech and computing power services into AI chip design and edge computing infrastructure, thereby strengthening its technology capabilities and building a comprehensive ecosystem encompassing computer infrastructure, AI chips and AI application solutions. This strategic expansion aligns with strong growth in the AI semiconductor, edge computing, and digital infrastructure sectors, driven by rising demand for low-latency, real-time AI solutions as well as supportive government policies promoting semiconductor innovation and digital infrastructure investment.

The Group has appointed Dr. Tang Tianshen as its chief strategic consultant to advise on the the strategic development and operations of the Group’s fintech-related businesses. Dr. Tang holds a doctorate in electronic engineering from Texas A&M University and possesses extensive expertise spanning academic research, advanced chip design, and executive leadership in the semiconductor industry. Dr. Tang has served in senior roles of various leading technology companies, including Intel, Shanghai Hua Hong and SMIC.

The Board considers that the transaction represents an opportunity to acquire immediate access to AI chip design capabilities, specialised technical talent, established technology assets, and growth opportunities in the AI industry. Compared with developing such capabilities internally, the Acquisition is expected to accelerate the Group’s entry into the AI semiconductor and edge computing sectors, shorten development time, and strengthen its competitive position in the evolving digital economy. In the long term, the Acquisition is expected to support the establishment of an ecosystem covering computing infrastructure, AI chips, and AI application solutions, creating sustainable growth drivers and delivering long-term value to shareholders.

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The issuer is solely responsible for the content of this announcement.

The forecast identifies large language models, which underpin generative AI applications, as an area where China is particularly well positioned to establish leadership. It also anticipates that Chinese companies and research institutions will become at least competitive across other critical technology sectors, potentially reshaping the balance of technological capabilities between Beijing and Washington.

The assessment comes as Chinese AI developers narrow the performance gap with American competitors despite restrictions on access to advanced semiconductors. Improvements in model efficiency, expanding domestic computing infrastructure and competitive pricing have strengthened China’s position in the global market.

Bloomberg Intelligence senior analyst Robert Lea identified a sharp improvement in Chinese model performance earlier this month. Leading Chinese systems trailed their American counterparts by approximately 3% on benchmark scores, compared with around 9% in May and 15% earlier this year.

That narrowing gap followed the September introduction of DeepSeek’s V4.1 Flash model, which demonstrated further advances in reasoning and computational efficiency. The findings suggest that restrictions on sophisticated American chips have not prevented Chinese developers from improving their systems.

The projections nevertheless remain conditional on technological progress, investment and commercial adoption over the next four years. Competitive performance in individual benchmarks does not necessarily establish overall leadership, particularly when computing capacity, profitability and enterprise deployment are considered.

China’s expanding capabilities are already influencing international adoption patterns. Models developed by DeepSeek, Alibaba and Moonshot AI have attracted developers seeking alternatives to comparatively expensive proprietary systems offered by American technology companies.

Data from OpenRouter, a platform providing access to multiple AI models, showed Chinese systems gaining substantial shares of usage during 2026. However, the figures represent activity through that platform rather than the entire global market, where direct subscriptions and enterprise contracts remain significant.

Chinese developers have also benefited from distributing models with openly available weights, allowing businesses and programmers to customise systems without depending entirely on proprietary services. This approach has encouraged international experimentation and strengthened adoption among cost-conscious users.

American companies retain important advantages, particularly in advanced semiconductor access, large-scale computing infrastructure and commercial relationships with enterprise customers. OpenAI, Anthropic and Google continue investing heavily in frontier models and the infrastructure required to train increasingly sophisticated systems.

Financial performance illustrates the distinction between technological competitiveness and commercial success. Anthropic disclosed revenue of $16.3 billion for the first half of 2026, compared with $1.2 billion during the corresponding period a year earlier, reflecting strong demand for its enterprise services.

Chinese developers face greater pressure on pricing, with intense domestic competition limiting opportunities to convert growing usage into sustainable earnings. Lower-cost models can accelerate adoption while simultaneously reducing margins available to finance future development.

Semiconductor manufacturing remains another constraint. Washington’s export controls restrict Chinese access to certain advanced processors and manufacturing equipment, although domestic suppliers including Huawei are developing alternatives intended to support national computing requirements.

China’s response increasingly combines domestic chip development with software optimisation. Researchers have demonstrated that improvements in training methods, architecture and inference efficiency can reduce dependence on the most powerful available hardware.

Beijing is also pursuing greater integration between artificial intelligence and telecommunications infrastructure. A three-year programme issued by the Ministry of Industry and Information Technology in June established targets for autonomous networks, computing access and specialised AI applications through 2028.

The programme envisages significant breakthroughs in core technologies by 2030, alongside improved coordination between communications networks, computing resources and intelligent services. Its objectives complement broader efforts to establish domestic technological capabilities.

Regulatory developments could influence the international availability of Chinese technology. Authorities proposed export restrictions this month covering 23 categories of AI technology, including language models, autonomous agents, chip designs and computing clusters.

The draft measures would potentially subject transfers of certain model weights, source code and advanced technologies to government approval. Their final scope and implementation remain undetermined.

China’s Ministry of Commerce has presented the proposals as part of a wider effort to regulate strategically sensitive technology transfers. The consultation also covers technologies beyond artificial intelligence, reflecting the government’s expanding attention to intellectual property and national security.

For overseas developers using Chinese models, the eventual rules could affect access to advanced systems and associated technical resources, depending on the restrictions adopted and the thresholds applied to particular technologies.

The 30-share BSE Sensex fell 0.16 per cent to 73,497.28, while the NSE Nifty 50 slipped 0.06 per cent to 22,738.55 during Tuesday’s trading. Losses were concentrated in technology stocks, although gains in several consumer and industrial companies helped contain the decline.

The Nifty IT index dropped approximately 1.8 per cent, making technology one of the weakest sectors. Infosys shares declined 2.8 per cent after the company lowered its revenue growth guidance for the financial year ending March 2027, prompting investors to reassess earnings expectations.

Other major technology companies also faced selling pressure. Tata Consultancy Services and HCL Technologies traded lower as investors examined the implications of weaker growth expectations for outsourcing companies dependent on overseas corporate spending.

Crude oil prices remained another concern. Brent crude hovered near $115 a barrel, close to its highest level in six months, following attacks on Saudi Arabia that intensified concerns about energy supplies and geopolitical tensions across West Asia.

Elevated petroleum prices present significant challenges for India’s economy because the country depends heavily on imported crude. Sustained increases can raise transportation and manufacturing costs, complicate inflation management and weaken profit margins for companies unable to pass additional expenses to customers.

Oil-sensitive businesses, including airlines, paint manufacturers, tyre producers and petroleum marketing companies, face particular exposure to changes in energy prices. Investors are monitoring whether higher input costs will affect corporate earnings during the current reporting season.

Attention has also shifted towards the Federal Reserve’s two-day policy meeting, which begins on Tuesday and concludes on Wednesday. Financial markets broadly expect the central bank to maintain its benchmark interest rate at 3.75 to 4 per cent.

The accompanying policy statement and remarks from Federal Reserve Chairman Kevin Warsh will be examined for indications of future interest rate adjustments, particularly whether persistent inflation could require additional monetary tightening.

Higher US interest rates can influence investment flows towards dollar-denominated assets, potentially reducing foreign portfolio investment in emerging markets. Changes in American Treasury yields and the dollar’s exchange rate therefore remain important considerations for domestic equities.

Ponmudi R, chief executive of Enrich Money, has identified elevated crude prices, geopolitical uncertainty and the Federal Reserve’s policy outlook as major influences on market sentiment. He has cautioned that tighter American monetary conditions could constrain foreign investment flows.

Tuesday’s weakness followed a recovery in the previous session, when the Sensex advanced 482.92 points to close at 73,606.75 and the Nifty gained 153.20 points to finish at 22,753.20.

Monday’s advance ended four consecutive sessions of losses, during which the Sensex had declined 2.15 per cent and the Nifty 2.36 per cent. The rebound reflected renewed buying in selected companies after the earlier market correction.

Despite Tuesday’s benchmark declines, broader market performance remained comparatively resilient. Small-cap shares gained approximately 1.7 per cent, while mid-cap stocks advanced around 0.5 per cent, indicating that selling pressure was not uniformly distributed.

Company-specific earnings developments also generated substantial movements. Tata Consumer Products rose approximately 5.9 per cent after reporting quarterly profits that exceeded market expectations, attracting buying interest despite the weakness in benchmark indices.

Automotive components manufacturer Sona BLW Precision Forgings advanced around 6.3 per cent following improvements in quarterly revenue and earnings. The gains demonstrated continued investor interest in companies delivering stronger operating results.

Astec Lifesciences, meanwhile, declined approximately 2.5 per cent after reporting lower quarterly profits, reflecting the market’s selective response to corporate financial disclosures.

Institutional investment patterns remained under scrutiny. Exchange data showed foreign portfolio investors sold shares worth approximately Rs 1,462.49 crore on Monday, while domestic institutional investors purchased equities valued at Rs 2,609.57 crore.

Domestic institutional buying helped support Monday’s recovery, although foreign investment decisions remain sensitive to international interest rates, currency movements and geopolitical developments.

Market participants are also awaiting September industrial production figures, scheduled for Wednesday, alongside further quarterly earnings announcements from major listed companies.

The October monthly expiry of Nifty derivatives contracts falls on Tuesday, adding another trading consideration as investors adjust outstanding positions before settlement.

The results, announced by Iveco on Monday and disclosed by Tata Motors on Tuesday, show that shareholders tendered 238,157,212 shares before the offer closed on 26 October. Those acceptances represent 87.81% of Iveco’s total common share capital, exceeding the revised 80% minimum required for the transaction to proceed.

The 89.42% figure is calculated after excluding the 4,868,597 shares held in Iveco’s treasury. It represents the prospective ownership of TML CV Holdings B. V., the Tata Motors acquisition subsidiary, rather than a completed transfer of the shares. Settlement remains subject to confirmation of the provisional results and satisfaction or waiver of other offer conditions.

Iveco said the final results and the status of outstanding conditions would be published by 29 October, before trading begins. Payment for shares accepted during the initial tender period is scheduled for 30 October, when ownership will transfer against the agreed cash consideration if the conditions are met.

The acquisition vehicle offered €14.40 for each share, valuing the 238.16 million tendered shares at approximately €3.43 billion. The overall offer has been valued at about €3.9 billion, making the transaction Tata Motors’ largest overseas acquisition since its purchase of Jaguar Land Rover in 2008.

The acceptance threshold was initially fixed at 95%, but fell automatically to 80% following a resolution approved by Iveco shareholders at an extraordinary general meeting on 16 October. That decision provided a mechanism for completing the transaction without securing acceptances from nearly every shareholder.

The lower requirement proved important as the tender period approached its deadline. Although the preliminary level of support comfortably exceeds 80%, it remains below the original 95% target. The final ownership structure will depend partly on the number of additional shareholders accepting the offer during a second window. Any subsequent steps towards full ownership or delisting will depend on the applicable procedures and the level of shares ultimately acquired.

Iveco has scheduled that reopening for five trading days, from 2 November to 6 November, subject to confirmation of the initial results and the remaining conditions. Investors who tender during the additional period are expected to receive payment on 13 November at the same €14.40 price.

Tata Motors raised its cash offer by 30 euro cents a share on 9 October, from €14.10, after the acquisition timetable was extended. The revised price applied to all shares tendered during the initial period, including those submitted before the increase was announced.

The takeover covers Iveco’s commercial vehicle operations, including trucks and buses, but excludes its defence business, which is being separated. The proposed combination would give Tata Motors a much larger manufacturing and distribution presence in Europe while bringing Iveco’s established commercial vehicle brands into the wider group. The deal would also broaden the range of vehicles and markets served by the combined commercial vehicle operations.

Iveco’s board had unanimously recommended that shareholders accept the offer. Its largest shareholder, Exor, which held approximately 27.06% of the common shares and 43.19% of voting rights when the offer was launched, had committed to tender its holding and support the necessary shareholder resolutions.

The transaction nevertheless drew opposition from investment firm Petrus Advisers, which argued that the original price undervalued Iveco and failed to reflect sufficiently the potential benefits of combining the businesses. The increase to €14.40 did not eliminate the importance of shareholder participation in meeting the formal acceptance condition.

Tata Motors managing director and chief executive Girish Wagh described the revised price as the company’s best and final offer before the tender deadline. The company had indicated that a substantial proportion of shareholders might submit their acceptances close to the closing date, a pattern reflected in the final provisional tally.

The offer began on 7 September after Italy’s market regulator, Consob, approved the offer document earlier that month. BNP Paribas’s Italian branch coordinated the collection of acceptances and supplied the provisional figures disclosed by Iveco.

Iveco said the acquisition vehicle had not purchased any common shares outside the tender offer between publication of the offer document on 4 September and the closing date. The company’s treasury holding accounted for approximately 1.80% of its issued common share capital.

Nine exchange-traded funds widely associated with the country’s so-called national team recorded combined net inflows of 128.7 billion yuan ($19 billion) during the week ending 23 October. The total was the highest since nearly 140 billion yuan entered the same closely watched group during the tariff-driven market turmoil 18 months earlier.

The surge followed a punishing decline in mainland shares that pushed the CSI 300 benchmark into bear-market territory, conventionally defined as a fall of at least 20% from a previous peak. Investors have been monitoring large purchases of index-tracking funds for indications that state-backed institutions are seeking to contain further losses.

The figures measure money entering funds favoured by official investors rather than confirmed purchases by government-controlled entities. No public announcement has established how much of last week’s inflows came directly from the state, making the scale of official intervention difficult to determine precisely.

Central Huijin Investment, a unit of sovereign wealth fund China Investment Corporation, is among the principal institutions associated with market stabilisation. Its investment activity has become an important signal for traders attempting to assess Beijing’s willingness to support share prices during periods of intense volatility.

The latest inflows were concentrated in exchange-traded products offering exposure to broad mainland equity benchmarks. Such vehicles enable institutions to acquire diversified holdings quickly, directing demand towards major listed companies without having to purchase individual shares separately.

Thursday’s trading illustrated the pressure facing authorities. The CSI 300 fell into a bear market as persistent selling overwhelmed earlier signs of institutional support. Funds favoured by state investors attracted approximately 46 billion yuan that day, highlighting the contrast between substantial new subscriptions and continuing weakness in underlying shares.

Friday brought a partial reversal. The CSI 300 finished 1.7% higher at 4,105.33 after falling by as much as 2% during the session. The recovery coincided with unusually active trading in several large index funds, although trading patterns alone cannot identify the buyers responsible.

One CSI 300 exchange-traded fund managed by E Fund Management registered turnover of about 19.5 billion yuan on Friday, its busiest session since October 2024. Heavy turnover can reflect purchases and sales by multiple participants and does not, by itself, establish the size of net state investment.

The rebound provided relief after a prolonged retreat that had already tested confidence in official market-support measures. The benchmark had endured a record sequence of weekly declines, leaving investors focused on whether additional institutional demand could interrupt the selling pressure.

Analysts at China Securities, including Yao Ziwei, had previously identified large subscriptions to leading broad-market funds and heavier activity towards the close of trading as characteristics consistent with institutional buying against the prevailing market trend. Their observations did not amount to confirmation of individual investors’ identities.

The scale of potential support has also attracted attention. Analysts including Rebecca Sin estimated that Central Huijin raised approximately $231 billion through exchange-traded fund sales during the first half of 2026 and redeployed about $43 billion after purchases resumed in July. Their calculations suggested considerable remaining capacity, although available resources do not guarantee further buying.

Those estimates underscore the distinction between market intervention and a sustained recovery. Purchases can provide immediate demand for shares, but their effect depends partly on whether other investors become willing to hold equities without continued institutional assistance.

The comparison with April 2025 is significant because that episode followed sweeping American tariff announcements that triggered sharp market losses. Authorities subsequently introduced measures intended to stabilise trading and confidence. Last week’s inflows approached the scale seen during that earlier emergency, despite the different circumstances surrounding the latest decline.

The nine-fund basket represents only part of China’s exchange-traded fund market. Subscription figures can vary depending on the funds selected, the valuation method and the period measured, while changes in units outstanding cannot establish the identity of the ultimate purchaser.

Mainland exchange-traded funds are listed securities whose prices fluctuate throughout the trading day. Their creation and redemption mechanisms allow authorised institutions to adjust the number of units outstanding as investor demand changes. These mechanisms can produce substantial changes in reported fund flows even when trading activity involves different categories of institutional and individual market participants.