Category: 3. Business

  • 50% hike in gas price: Households fumes

    50% hike in gas price: Households fumes

    PAKISTAN’S battered economy has delivered yet another blow to ordinary households, this time in the form of a staggering 50% increase in fixed gas charges, deepening the sense of despair among millions already struggling to make ends meet.

    For families across the country, the monthly gas bill, once a manageable expense, is fast becoming a luxury a few can afford. The move, introduced quietly by the government without changing the per-unit gas tariff, has nonetheless triggered widespread anger and confusion. The sharp increase in fixed charges, levied on households regardless of consumption, disproportionately affects the lower and middle-income segments. For many, the latest hike represents not just an economic burden but also a symbol of how detached policymakers have become from the daily struggles of ordinary citizens.

    Years of fiscal mismanagement, political instability and external debt dependency have pushed the country to the brink. With foreign exchange reserves precariously low and repeated IMF bailouts dictating austerity measures, the space for government subsidies and social protections has virtually disappeared. The gas sector, long plagued by inefficiencies, theft and underinvestment, has become a prime target for revenue generation — but at a devastating human cost. Rather than reforming structural inefficiencies or curbing elite exemptions, the State has chosen to shift the burden onto the masses. The 50% jump in fixed gas charges comes at a time when the purchasing power of ordinary Pakistanis has been eroded to historic lows. Household energy costs, which form a significant portion of monthly expenses, have become a flashpoint for frustration.

    Unlike fuel price hikes, which often dominate headlines and spark protests, the increase in fixed gas charges has been implemented with minimal public debate. Fixed charges are especially punishing for low-consumption households, many of whom use gas sparingly for cooking or heating water. Even families that have cut back on usage to cope with rising costs find themselves paying disproportionately high bills. The government’s justification points to the widening revenue shortfall in the gas sector, driven by high import costs and mounting circular debt. Yet, critics argue that ordinary citizens are being forced to shoulder a burden created by years of mismanagement, corruption and an energy policy tilted in favour of vested interests. The sense of injustice is palpable, particularly in urban centres where families already face the compounded pressures of rent hikes, food inflation and stagnant wages. In rural areas, the focus shifts to the indirect impact — rising prices for gas-dependent goods and services that further squeeze household budgets.

    The timing of the gas charge increase could not be worse. The agricultural sector, a backbone for millions of livelihoods, has suffered from erratic weather patterns, floods and rising input costs. Manufacturing and industrial output have slowed, exacerbating unemployment and wage stagnation. Meanwhile, the IMF’s stringent loan conditions aimed at stabilizing macroeconomic indicators have left little room for domestic relief measures. With the government prioritizing fiscal discipline to secure much-needed external financing, ordinary Pakistanis are being asked to absorb the fallout through higher taxes and utility costs. The psychological toll is visible across communities. Conversations in markets, public transport and homes increasingly revolve around survival, not ambition. Parents skip meals to ensure their children eat; families defer medical treatment; young people, disillusioned by shrinking opportunities, eye emigration as the only escape.

    As the cost of living crisis intensifies, so does public dissatisfaction. Trade unions, opposition parties and civil society groups have condemned the gas charge hike as emblematic of a governance model that prioritizes elite comfort over citizen welfare. For many, the gas bill has become a symbol of broader systemic failure. The perception is growing that the state, unable or unwilling to address the root causes of economic decline, is resorting to extractive measures that punish the vulnerable while shielding the powerful. The social contract, already strained by years of economic hardship, political instability and eroding public services, risks further unravelling. Trust in institutions tasked with economic management continues to deteriorate as households bear the brunt of decisions they feel powerless to influence.

    Few believe economic troubles will ease soon. The country remains mired in debt, reliant on external financing and vulnerable to global commodity price fluctuations. Climate-related disasters add to the fiscal burden, while investors remain wary of political volatility. In this bleak environment, measures like the gas fixed charge increase are likely to become more frequent and painful. Ordinary citizens are trapped between rising costs and stagnant incomes. The human cost of economic mismanagement plays out in cold homes, skipped meals and anxious, sleepless nights.

    The 50% hike in gas fixed charges is more than just an accounting adjustment, it is a stark reflection of the disconnect between economic policymaking and the lived realities of its people. As households struggle to keep the lights on and cook meals, the weight of the country’s financial collapse presses down harder. For now, the government’s policies appear focused on balancing spreadsheets and appeasing international lenders. But for the millions bearing the daily brunt of those decisions, hope is a scarce commodity and economic pain an unrelenting reality. In Pakistan’s deepening economic storm, it is the ordinary household that continues to pay the heaviest price.

    — The writer is an educator, based in Sindh.

    ([email protected])

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  • PSX extends record rally on investor interest

    PSX extends record rally on investor interest

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    KARACHI:

    The benchmark KSE-100 index at the Pakistan Stock Exchange (PSX) closed the week at a new record high on Friday to settle at 134,300 points as bullish sentiment prevailed amid robust corporate results and continued institutional inflows.

    Investor activity was particularly fueled by strong earnings of UBL, which posted a 99% year-on-year (YoY) surge in 1HCY25 earnings per share to Rs26.07 and declared a higher-than-expected dividend of Rs19 per share.

    Market breadth remained positive, with 55 stocks advancing and 45 declining. UBL (+2.4%), Hubco (+1.6%) and Millat Tractors (+2.76%) were the top contributors to the day’s gains, collectively lifting the index by over 300 points. Meanwhile, pressure in select banking names such as Bank AL Habib (-3.3%), MCB Bank (-1.04%) and HBL (-1.22%) limited the upside.

    At close, the benchmark KSE-100 index posted a gain of 517.42 points, or 0.39%, and settled at 134,299.77. Trading activity remained strong, with volumes reaching 765 million shares and a traded value of Rs40 billion.

    Analysts at Topline Securities attributed the day’s momentum to rising mutual fund allocations to equities, shifting away from fixed income, as shown in the National Clearing Company data.

    With macroeconomic indicators improving and remittances hitting a record $38.3 billion, sentiment continued to remain bullish, setting the stage for a potential test of 136,000 in the sessions ahead.

    Traded value-wise, UBL (Rs2.32 billion), DG Khan Cement (Rs1.64 billion), Attock Refinery (Rs1.61 billion), Hubco (Rs1.44 billion), The Bank of Punjab (Rs1.24 billion) and Maple Leaf Cement (Rs1.19 billion) dominated the trading activity, Topline said.

    “Stocks closed at a new all-time high in the earnings season rally as investors weighed surging forex reserves that reached $20 billion and upbeat auto sales data, which showed a 38% YoY growth for FY25,” said Arif Habib Corp MD Ahsan Mehanti.

    The revision in development spending to Rs1.05 trillion for FY25 and record remittances played the role of catalysts for the new peak at the PSX, he added.

    Arif Habib Limited (AHL) wrote in its report that the KSE-100 index enjoyed another solid week, gaining 1.8% week-on-week, on the back of strong corporate earnings and investor interest.

    On Friday, 55 stocks advanced while 45 declined, where UBL (+2.4%), Hubco (+1.6%) and Millat Tractors (+2.76%) contributed the most to index gains. In contrast, Bank AL Habib (-3.3%), MCB Bank (-1.04%) and HBL (-1.22%) were the biggest drags.

    UBL announced 1HCY25 earnings per share of Rs26.07, up 99% YoY, and a dividend payout of Rs19 per share. Earnings were in line with expectations while the payout exceeded estimates.

    For the coming week, technical indicators suggest support at around 132,000, with a potential upside towards 136,000, AHL said.

    Overall trading volumes were recorded at 765.1 million shares, compared with the previous session’s tally of 941.7 million. The value of shares traded during the day was Rs40.2 billion.

    Shares of 477 companies were traded. Of these, 220 stocks closed higher, 228 fell and 29 remained unchanged.

    The Bank of Punjab was the volume leader with trading in 94.1 million shares, gaining Rs0.08 to close at Rs13.08. It was followed by Aisha Steel Mills with 25.1 million shares, gaining Rs0.44 to close at Rs12.11 and Kohinoor Spinning Mills with 23.6 million shares, losing Rs0.20 to close at Rs6.69. Foreign investors sold shares worth Rs350 million, the National Clearing Company reported.

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  • State Bank injects Rs1.7tr via dual OMOs

    State Bank injects Rs1.7tr via dual OMOs

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    KARACHI:

    The State Bank of Pakistan (SBP) on Friday injected a total of Rs1.72 trillion into the banking system through simultaneous conventional and Shariah-compliant open market operations (OMOs), aimed at addressing liquidity needs.

    Earlier on Wednesday, the government had borrowed Rs1.62 trillion through auctions of securities, with a substantial proportion of Rs1.413 trillion being raised from the Market Treasury Bills (MTBs) and Rs208.42 billion from the 10-year Pakistan Investment Bonds Floating Rate (PFL).

    The government is compelled to borrow from the private sector amid limits from the International Monetary Fund (IMF) on borrowing directly from the central bank. Therefore, the central bank has to go through this cycle of injecting money through OMOs and then borrowing back from the private sector through securities to bridge the fiscal deficit of the government.

    According to official data, the SBP accepted bids worth Rs1.48 trillion under its conventional reverse repo operation, with a realised value of Rs1.43 trillion. The OMO included injections of Rs154.25 billion for seven-day tenor at a rate of return of 11.09% and Rs1.32 trillion for 14-day tenor at 11.07%, with 24 bids accepted out of 27 received.

    In parallel, the central bank conducted a Mudarabah-based Shariah-compliant OMO, where it injected an additional Rs243 billion, with a realised value of Rs244.9 billion. The Islamic OMO consisted of Rs40 billion accepted for seven days at a rate of 11.13% and Rs203 billion for 14 days at 11.12%. All three bids received were accepted, reflecting growing market interest in Shariah-compliant instruments.

    The cumulative injection of liquidity comes at a time when the SBP has been easing monetary conditions, having recently cut the policy rate amid a downward trend in inflation. The strong demand for 14-day funds in both OMOs highlights banks’ preference for locking in medium-term liquidity, possibly in anticipation of further monetary easing.

    Furthermore, the rupee posted a marginal gain against the US dollar on Friday, appreciating by 0.04% in the inter-bank market. By the end of trading, the rupee closed at 284.46, marking an improvement of 10 paisa compared to Thursday’s closing rate of 284.56.

    Meanwhile, gold prices in Pakistan climbed sharply on Friday, tracking gains in the international market, where the yellow metal surged over 1% to a more than two-week high. The rally was driven by renewed safe-haven demand after President Donald Trump reignited trade tensions by announcing fresh tariffs, escalating fears of a global trade war.

    In the domestic market, the price of gold per tola rose Rs2,300 to settle at Rs357,000, according to data released by the All Pakistan Sarafa Gems and Jewellers Association. Similarly, the rate for 10 grams of gold increased Rs1,971 to Rs306,069.

    This follows Thursday’s sharp uptick of Rs3,200 per tola, when gold closed at Rs354,700.

    Globally, spot gold was up 1.2% to $3,363.46 per ounce by 11:32 am EDT (1532 GMT), its highest since June 24. US gold futures gained 1.6% to $3,377.80, according to Reuters.

    Adnan Agar, Director at Interactive Commodities, explained the international trend, saying: “Gold touched a low of $3,322 and a high of $3,368 today (Friday) and is trading around $3,355. Renewed tariff threats from Trump have triggered another wave of buying in gold.”

    He noted that unless a breakthrough occurs in trade negotiations after August 1, gold is expected to continue trading within a range of $3,270 to $3,420. “If tariffs persist beyond August, we could see further upside. Otherwise, history shows that Trump often backtracks or secures last-minute deals, which could cap gold’s rise,” Agar added.

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  • Regulating the Crypto Market in Nigeria – International Monetary Fund (IMF)

    1. Regulating the Crypto Market in Nigeria  International Monetary Fund (IMF)
    2. IMF flags cross-border crypto risks for Nigeria as global market surges 1,511% in five years  Nairametrics
    3. SEC, Quidax partner for landmark finance conference  The Guardian Nigeria News
    4. Digital Assets Adoption in Nigeria’s Capital Market: Imperative for Asset Management  Proshare
    5. Fintechs can grow Nigeria’s retail investor base tenfold in five years — Sycamore MD  Business News Nigeria

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  • Dynamism in generative AI markets since the release of ChatGPT

    Rapid advances in artificial intelligence (AI) are reshaping economies and societies worldwide. While AI carries the potential for substantial productivity and welfare gains, it also presents significant risks, including job displacement, misinformation, cybersecurity, privacy breaches, and market concentration (Ben-Ishai et al. 2024, Comunale and Manera 2024). The dynamism of AI markets and the accessibility of cheaper and better-performing AI models to AI-adopting firms are critical conditions for the broad-based adoption of AI and long-term productivity gains (Acemoglu 2025, Filippucci et al. 2024, Aghion et al. 2024).

    With the success of ChatGPT, many observers have feared that the excessive concentration of the technology within one or two leading US companies could reduce market dynamism (CMA 2024, Coeuré 2024, Cottier et al. 2023). This view was challenged by the release by the Chinese developer Deepseek’s of the R1 model in early 2025.  This ‘Sputnik moment’ in AI (Acemoglu, 2025) stunned the world and highlighted several unexpected developments that have contributed to making AI more easily and more broadly accessible.  It demonstrated that an almost unknown startup (The Guardian 2025) could train an AI model at the very top of AI capabilities at a fraction of the development costs of other leading models, publish it in ‘open-weight’,
    and offer ten times cheaper access to users (Artificial Analysis 2025).

    In this column, we provide novel empirical evidence to inform the debate on the state of competition in AI markets, primarily building on our paper (André et al. 2025) that collects novel data on generative AI prices and performance. The paper shows that during the past two years, the dominant position of digital incumbents in the AI supply chain (chips, models, distribution, and application) has neither curbed innovation nor prevented potential AI users from accessing better and cheaper AI models (Korinek and Vipra 2025, Hagiu and Wright 2025). The trends of better quality and more accessible AI create strong preconditions for adoption across various sectors (Bick et al. 2024), with significant implications for the economy and policymakers. While current trends give reasons for optimism about the diffusion of the technology, concerns remain about future concentration and market power, as happened with traditional digital markets.

    Key trends in AI markets

    Recent empirical evidence indicates a dynamic and competitive AI market landscape (André et al. 2025), benefiting companies that adopt AI technologies as an input in production, complementing and sometimes substituting for labour in the production of goods and services across several domains and a diverse set of cognitive tasks. The key trends in AI markets we document here column include:

    1. A growing number of market players: The AI market has seen a surge in new entrants, including tech incumbents and specialised AI startups in model development (training of foundation models), provision (cloud infrastructure for inference), and applications (consumer-facing services).

    2. A dynamic market environment: The pace of innovation in AI is extremely rapid, with continuous improvements in models that are more capable and reliable in an increasing number of tasks (including professional drafting, research assistance, software development, creation of image and videos, or real-time audio translations) and domains (science, law, finance, customer interactions, etc.). The current supply of AI offers a wide array of models, capabilities, and prices, allowing companies to choose their preferred quality and trade-off performance, costs, and privacy in their business operations. 

    3. Declining quality-adjusted prices: Advances in hardware and algorithms, as well as competitive pressure, have made AI models much more accessible. The best model in March 2023 (GPT-4) is now 1,000 times cheaper to access than two years ago. Our calculations show that the quality-adjusted AI price has decreased by 80% over the past two years. These trends include well-known text models (large language models) as well as specialised image or audio AI models.        

    New data and indicators to monitor AI markets

    Our findings rely on an extensive data collection of AI foundation models available as-a-service on the market (accessible from the cloud to companies using AI in their production processes; see Bergemann et al.  2025 and Zhong 2025). In the period January 2023 to 2025, there were several indications of market dynamism in three segments of the AI value chain that we examined: AI model development, AI model provision from the cloud, and AI downstream applications.

    First, the number of available AI foundation models has been rising exponentially (Figure 1), developed by an increasing number of companies and offering several interaction modalities (text, image, audio, or video). These results hold both for the number of cloud providers and downstream applications.

    Figure 1 AI supply has been rising fast

    Note:  Developers refer to companies that train and optimise foundation AI models. The number of models refers to the number of active foundation models every month.
    Source: André et al. (2025).

    The rapid pace of innovation has pushed out the economic frontier of AI

    AI has improved and become cheaper at a similar pace as earlier general-purpose technologies (Filippucci et al, 2025). Using common industry benchmarks
    to evaluate the performance of AI models and collecting prices of AI from cloud providers, we constructed an ‘AI economic frontier’, identifying the best models each month in terms of the price-performance ratio (Figure 2). Results suggest that in the last two years, this AI economic frontier has shifted continuously towards lower prices and higher quality. Moreover, the developers and models that reach the frontier have been changing, with five to six players alternating at the frontier (OpenAI, Google, Meta, DeepSeek, Anthropic, Mistral, etc.) and around ten others following closely. So far, leading positions in AI development are oligopolistic but highly contestable.

    Figure 2 The AI economic frontier shows the continuous improvements of AI

    Note: Performance is defined by a normalised weighted performance index on industry benchmarks. Each dot represents the model with the best available price-performance trade-off within Text-to-Text models.
    Source: André et al. (2025).

    This variety of models at the frontier allows a broad range of demand to be served. Many users may not always need the best available models and would rather pay an order of magnitude less to access models that are ‘good enough’ and more easily specialised for specific tasks or preferences. In addition to the offer of closed models directly from the cloud, ‘open-weight’ models offer an option for cheaper (with no license fee), more transparent, and easily customisable models used outside of the public cloud environment.

    The US has been pushing out the frontier, but other countries are in the race

    Based on simulated market shares constructed using information on the supply of AI models (including price and quality), assumptions about demand for different AI market segments, and various scenarios involving switching costs and reputation, the US holds the leading position in AI development. In January 2025, the US market share for large language models is estimated to be between 86% (high switching cost scenario) and 59% (low switching cost scenario). China has been aggressively catching up since the second quarter of 2024, reaching simulated market shares of 5% (with high switching costs) and 36% (with low switching costs). The rest of the OECD countries combined (including Germany, France, the UK, and Canada) are further behind in AI text models (between 5% and 10%). However, they are in much better positions in specialised AI models (for example, image generation or speech generation), where their market share can jump above 50%, although in Europe and Canada, AI companies tend to be smaller, less well funded, and more specialised startups.

    Figure 3 Simulated market shares in AI model development

    Note: Simulated market share of AI foundation model revenues from AI as-a-Service per country of origin of the AI developing company under the baseline demand scenario and aggregating all modalities according to the formula in Annex C. In this scenario, 40% of AI demand is addressed to Text-to-Text models, 10% to Audio-to-Text and 50% to Text-to-Image.
    Source: André et al. (2025).

    AI is getting better, cheaper, and more accessible for firms to adopt 

    The upward shift of the AI economic frontier depicted in Figure 2 is reflected in our quality-adjusted AI price index, which has declined by an average of 80% over the past two years (Figure 4), primarily due to continued quality increases offered at similar or somewhat lower prices. On average, during the period, 30% of models at the frontier are replaced every month with updated versions. These trends are consistent across all types of models, although the amplitude and timing vary.

    In sum, this evidence suggests that the gains from innovation in AI development have been shared with AI users in terms of lower quality-adjusted prices. AI users have also benefited from greater access to AI models via a widespread offer accessible through several cloud providers (for business use) and an increasing number of AI-powered consumer services (consumer-facing applications).

    Figure 4 Quality-adjusted AI prices have fallen rapidly

    Note: The index for each modality is a weighted sum of the index for each model segment. Each model segment is represented by its respective model at the AI Economic Frontier.
    Source: André et al. (2025).

    Why these trends matter

    Dynamic AI markets are a necessary condition for the diffusion of AI across the economy, facilitating widespread AI adoption in various sectors and serving as a central determinant of long-term productivity gains from AI (Acemoglu 2025, Filippucci et al. 2024, Aghion et al. 2024). Our evidence so far suggests that the supply of AI has been more open than initially expected in various segments of the AI value chain, driving innovation and contributing to favourable conditions for broad AI adoption: lower prices, better quality, and broader accessibility.

    Nonetheless, several uncertainties and risks persist about the future dynamism of AI markets. For instance, the capacity of incumbents to leverage existing compute infrastructure and user base in adjacent markets is high. Furthermore, the high concentration of the necessary inputs for AI development – data, compute, and talent  – creates additional risks for long-term competition, which warrant continued research on the dynamism of AI markets.

    References

    Acemoglu, D (2025), “A Sputnik moment for AI?”, Project Syndicate, 4 February.

    Comunale, M and A Manera (2024), “The Economic Impacts and the Regulation of AI: A Review of the Academic Literature and Policy Actions”, IMF Working Papers 2024(065).

    Acemoglu, D (2025), “The simple macroeconomics of AI”, Economic Policy 40(121): 13-58.

    Aghion, P and S Bunel (2024), “AI and Growth: Where do we stand”, unpublished manuscript.

    André, C, M Betin P Gal and P Peltier (2025), “Developments in Artificial Intelligence markets: New indicators based on model characteristics, prices and providers”, OECD Economics Department Working Paper.

    Artificial Analysis (2025), Q1 2025 state of AI report: Analysis of the AI landscape and the key trends shaping AI.

    Ben-Ishai, G, J Dean, J Manyika, R Porat, H Varian and K Walker (2024), “AI and the Opportunity for Shared Prosperity: Lessons from the History of Technology and the Economy”, arXiv preprint arXiv:2401.09718.

    Bergemann, D, A Bonatti and A Smolin (2025), “The Economics of Large Language Models: Token Allocation, Fine-Tuning, and Optimal Pricing”, arXiv preprint arXiv:2502.07736.

    Bick, A, A Blandinand D J Deming (2024), “The rapid adoption of generative AI”, NBER Working Paper No. w32966.

    CMA – Competition and Market Authority (2024), AI foundation models technical update report.

    Coeuré, B (2024), “Comments on “The simple macroeconomics of AI” by Daron Acemoglu”.

    Cottier, B, T Besiroglu and D Owen (2023), “Who is leading in AI? An analysis of industry AI research”, arXiv preprint arXiv:2312.00043.

    Filippucci, F, P Gal and M Schief (2024), “Miracle or Myth? Assessing the macroeconomic productivity gains from Artificial Intelligence”, OECD Artificial Intelligence Papers, No. 29.

    Filippucci, F, P Gal, K Laengle and M Schief (2025), “Macroeconomic productivity gains from Artificial Intelligence in G7 economies”, OECD Artificial Intelligence Papers No. 41

    Hagiu, A and J Wright (2025), “Artificial intelligence and competition policy”, International Journal of Industrial Organization, 103134.

    Korinek, A  and J Vipra (2025), “Concentrating intelligence: Scaling and market structure in artificial intelligence”, Economic Policy 40(121): 225-256.

    OECD (2024), “Artificial intelligence, data and competition”, OECD Artificial Intelligence Papers No. 18.

    The Guardian (2025), “Who is behind Deepseek and how did it achieve its AI Sputnik moment?”, 28 January.

    Zhong, H (2025), “Optimal Integration: Human, Machine, and Generative AI”, CEPR Discussion Paper No. 20330.

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  • Earnings from JPMorgan, Netflix, Goldman Sachs and PepsiCo

    Earnings from JPMorgan, Netflix, Goldman Sachs and PepsiCo

    CNBC’s Jim Cramer on Friday told investors what to follow next week as earnings season kicks off, highlighting reports from JPMorgan, Netflix, Goldman Sachs and PepsiCo.

    “Once we process the new tariffs, we’ve got a ton of earnings reports coming next week, so you better keep your eyes open,” he said.

    Tuesday brings earnings from financial giants JPMorgan, Wells Fargo, Citigroup and BlackRock, and Cramer said he’ll be waiting to hear whether there has been any slowdown in spending or pick up in loan losses. While he said JPMorgan is “the star of the show,” he also cares about Wells Fargo, which is no longer subject to a punitive asset cap. Cramer predicted Citigroup’s report would be well-received, but he said BlackRock might tell “the most exciting story.” The Labor Department will release the consumer price index report on Tuesday, Cramer added, an important metric for the Federal Reserve when it makes decisions about interest rates.

    On Wednesday, Goldman Sachs and Morgan Stanley are set to report, and Cramer said he’s optimistic both outfits will post strong quarters as mergers and acquisitions heat up. He said there could be “another round of semi buying” if semiconductor capital equipment company ASML releases a solid report. Bank of America and Johnson & Johnson will report on Wednesday as well. Cramer said Bank of America has put up consistently good earnings and suggested the stock was cheap because Berkshire Hathaway has been selling shares. Cramer said the pharmaceutical giant still has litigation hanging over its head.

    Retail sales figures will come out Thursday, and Cramer said he’s worried about a slowdown as political chaos affects consumers. Abbott Laboratories, PepsiCo and Netflix are set to report Thursday. Cramer said Abbott’s quarter tends to be “misinterpreted in a negative way,” saying the healthcare name is one of his favorite companies. Cramer called PepsiCo “too cheap relative to its growth rate,” and he noted different factors that could be weighing on the stock, like the rise of GLP-1 weight loss drugs and scrutiny on junk food from Health and Human Services Secretary Robert F. Kennedy Jr. Cramer said he bets Netflix will report a great quarter, but he said the bar for the streaming giant is high.

    On Friday, American Express, 3M and Charles Schwab will report earnings. According to Cramer, American Express tends to sell off even when the report is good. The industrial sector has been doing well lately, and Cramer said 3M might report one of the best quarters of the group. He was also optimistic about Charles Schwab, but said “the short-sellers like to come out and color the opening of trading when Schwab opens,” advising investors to be careful before they buy.

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  • US customs duties top $100 billion for first time in a fiscal year – Reuters

    1. US customs duties top $100 billion for first time in a fiscal year  Reuters
    2. Treasury posts unexpected surplus in June as tariff receipts surge  CNBC
    3. Customs duties surge under Trump, yet US deficit grows by $64 billion  Firstpost
    4. Unexpected Surplus in Federal Budget Balance Signals Bullish Trend for USD  Investing.com
    5. US could collect $300 billion in tariff revenue this year, Treasury chief says  Merit Street Media

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  • Special Savings Certificates: Rs5,300 profit announced on Rs100,000 investment

    Special Savings Certificates: Rs5,300 profit announced on Rs100,000 investment

    ISLAMABAD – The Central Directorate of National Savings has slashed the profit rates on Special Savings Certificates with effect from July 2025, reflecting a downward trend in national inflation.

    The Special Savings Certificates are designed to offer a secure investment avenue to small and medium-scale investors, with fixed returns paid out every six months.

    These certificates come with a three-year maturity period and are open to all Pakistani citizens. Notably, there is no upper limit on the amount that can be invested.

    Updated Profit Rates – Effective July 2025

    According to the latest update, the revised profit rate stands at 10.60% for each of the first five bi-annual payments, translating to Rs5,300 per Rs100,000 investment every six months.

    The final (sixth) profit payment will be at a higher rate of 11.60%, or Rs5,800 on an investment of Rs100,000.

    Withholding Tax

    As per current taxation rules, individuals listed on the Active Taxpayer List (ATL) will face a 15% withholding tax on profits, regardless of when or how much is invested.

    The non-taxpayers will be subject to a 30% withholding tax on the earnings.

    These adjustments are part of the government’s efforts to align returns with prevailing economic indicators, while continuing to offer safe investment opportunities to the public.

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  • Musk’s latest Grok chatbot searches for billionaire mogul’s views before answering questions

    Musk’s latest Grok chatbot searches for billionaire mogul’s views before answering questions

    The latest version of Elon Musk’s artificial intelligence chatbot Grok is echoing the views of its billionaire creator, so much so that it will sometimes search online for Musk’s stance on an issue before offering up an opinion.

    The unusual behavior of Grok 4, the AI model that Musk’s company xAI released late Wednesday, has surprised some experts.

    Built using huge amounts of computing power at a Tennessee data center, Grok is Musk’s attempt to outdo rivals such as OpenAI’s ChatGPT and Google’s Gemini in building an AI assistant that shows its reasoning before answering a question.

    Musk’s deliberate efforts to mold Grok into a challenger of what he considers the tech industry’s “woke” orthodoxy on race, gender and politics has repeatedly got the chatbot into trouble, most recently when it spouted antisemitic tropes, praised Adolf Hitler and made other hateful commentary to users of Musk’s X social media platform just days before Grok 4’s launch.

    But its tendency to consult with Musk’s opinions appears to be a different problem.

    “It’s extraordinary,” said Simon Willison, an independent AI researcher who’s been testing the tool. “You can ask it a sort of pointed question that is around controversial topics. And then you can watch it literally do a search on X for what Elon Musk said about this, as part of its research into how it should reply.”

    One example widely shared on social media — and which Willison duplicated — asked Grok to comment on the conflict in the Middle East. The prompted question made no mention of Musk, but the chatbot looked for his guidance anyway.

    As a so-called reasoning model, much like those made by rivals OpenAI or Anthropic, Grok 4 shows its “thinking” as it goes through the steps of processing a question and coming up with an answer. Part of that thinking this week involved searching X, the former Twitter that’s now merged into xAI, for anything Musk said about Israel, Palestine, Gaza or Hamas.

    “Elon Musk’s stance could provide context, given his influence,” the chatbot told Willison, according to a video of the interaction. “Currently looking at his views to see if they guide the answer.”

    Musk and his xAI co-founders introduced the new chatbot in a livestreamed event Wednesday night but haven’t published a technical explanation of its workings — known as a system card — that companies in the AI industry typically provide when introducing a new model.

    The company also didn’t respond to an emailed request for comment Friday.

    The lack of transparency is troubling for computer scientist Talia Ringer, a professor at the University of Illinois Urbana-Champaign who earlier in the week criticized the company’s handling of the technology’s antisemitic outbursts.

    Ringer said the most plausible explanation for Grok’s search for Musk’s guidance is assuming the person asking it a question is actually xAI or Musk.

    “I think people are expecting opinions out of a reasoning model that cannot respond with opinions,” she said. “So for example it interprets ‘Who do you support, Israel or Palestine?’ as ‘Who does xAI leadership support?”

    Willison also said he finds Grok 4’s capabilities impressive but said people buying software “don’t want surprises like it turning into ‘mechaHitler’ or deciding to search for what Musk thinks about issues.”

    “Grok 4 looks like it’s a very strong model. It’s doing great in all of the benchmarks,” Willison said. “But if I’m going to build software on top of it, I need transparency.”

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  • Everything We Know About ‘Bitchat,’ the Internet-Free Messaging App

    Everything We Know About ‘Bitchat,’ the Internet-Free Messaging App


    Jack Dorsey, co-founder of Twitter and Square and founder of Bluesky, is back with another potentially disruptive and decentralized app: “bitchat.”

    Like Twitter and Bluesky, bitchat is a social app, but it’s not a social media platform. Instead, bitchat is a peer-to-peer messaging app, and is unique among the myriad of messaging options available already, as it does not operate over the internet. Rather than connect to wifi or a cellular network, bitchat is designed to operate over Bluetooth, specifically Bluetooth Low Energy (BLE) mesh networks. In theory, it would allow bitchat to function even when networks are down. In the event you can’t connect to either cellular or wifi, bitchat would still function. (Though expanding satellite communications may give bitchat a run for its money.)

    How does bitchat work?

    According to the app’s white paper, bitchat relies on the devices running it to communicate with each other over BLE. As such, your device connects to another user’s device within Bluetooth range, their device connects to another in Bluetooth range, and so on. “Local clusters” are made up of the device within Bluetooth range (typically 33 feet, though the white paper says roughly 30), where “bridge nodes” can connect those clusters when they overlap in range. With enough devices, you create a network where one user is able to message another well outside the usual Bluetooth range.

    It’s sort of like how networks like Apple’s Find My work. Products like AirTags communicate via Bluetooth with other devices on the Find My network. But where an iPhone will connect to the internet to ultimate update your AirTag’s location, bitchat never needs to connect to the internet: It’s all Bluetooth based.

    The design also accounts for users that are unavailable at the time you send a message. If you send it to a regular user, the message will be cached for up to 12 hours before sending, though messages you send to “favorite peers” can be cached indefinitely. Direct messages are end-to-end encrypted, while group messages (yes, bitchat supports group messaging) can be password protected if you so choose. You can set group messages, or “channels,” with a channel name prefixed with a # (e.g. #channelname), and you can transfer the ownership of a group chat if you wish.

    Bitchat might not be secure at this time

    While Dorsey suggests the app has user privacy and security in mind, it isn’t perfect. The app’s github page even presents a warning at the top, reading: “Private message and channel features have not received external security review and may contain vulnerabilities. Do not use for sensitive use cases, and do not rely on its security until it has been reviewed. Work in progress. Public local chat (the main feature) has no security concerns.” According to TechCrunch, that warning was not present when the app first launched.

    TechCrunch highlights a number of security concerns testers have discovered while using the app. One found that it is possible to pretend to be another users’ contact, and trick the app into marking them as a “Favorite” contact—a feature that is supposed to guarantee the contact is who they say they are. Another user raised an issue with the app’s “forward secrecy” feature, which is supposed to prevent bad actors from successfully breaking encryption even if they access the encryption key for your message. Still another found a security flaw that might allow a bad actor to overflow memory to another location, which could enable hacking.


    What do you think so far?

    It’s clear that the app has a ways to go to iron out its privacy and security functions, so, at this time, it might not be the best idea to try it out—or, at least, to send sensitive information.

    How to try bitchat

    If you’re okay taking on the security risks, you can try out bitchat today—though set up is a bit complicated. There is a TestFlight beta program for iPhone and Mac, but it’s full.

    Bitchat’s GitHub page has three options for setup on Mac: You can get things up and running via XcodeGen, which is the recommended method; Swift Package Manager; or start a manual Xcode Project by copying over all Swift files from the bitchat directory on GitHub.

    Personally, I’ll wait until the app is fully realized on iPhone and Mac before giving it a shot. But if there are any peers in your area on bitchat, you’ll be able to start chatting.


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