Starbucks posts steeper-than-expected drop in global sales as consumers pull back
The company saw overall same-store sales decline 2 per cent for the quarter ended June 29, its sixth straight quarterly contraction. Analysts on average had estimated a 1.19-per-cent dip, according to data compiled by LSEG.
Chief executive Brian Niccol has pushed for a simplified menu, freshly baked food items, cups with handwritten messages and quicker service as he tries to drive a brand reset since taking the helm in last August.
He has also pledged to increase investments in staffing in all 10,000-plus Starbucks-owned U.S. stores by the end of the summer.
Starbucks says remote leaders must relocate to either Toronto or Seattle – or take a buyout
'We are making tangible progress in our 'Back to Starbucks' strategy. In the quarter, we made a significant non-recurring investment in our Leadership Experience 2025 and also incurred a discrete tax item, which in the aggregate, negatively impacted Q3 EPS by 11 cents,' CFO Cathy Smith said.
In its largest North America market, same-store sales fell 2 per cent, compared with 2-per-cent drop last year.
Customer visits to the coffee chain operator were down an average 0.1 per cent from April to June, data by research firm Placer.ai showed. That was better than a 0.9-per-cent drop in the prior three months, suggesting that Niccol's 'Back to Starbucks' initiative and recent menu innovations were beginning to drive a turnaround, Placer.ai said.
The company's shares were down 1 per cent at US$92 in volatile extended trading.
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Globe and Mail
22 minutes ago
- Globe and Mail
Strategic Growth in the Global X-Ray Detectors Market (2025-2030)
"Originally a part of Varian Imaging, Varex Imaging Corporation has expanded to become a world leader in producing and selling medical imaging devices, catering to industries like cargo screening and border security." key players operating in the global X-ray detectors market are Varex Imaging (US), Canon (Japan), Thales Group (France), Analogic Corporation (US), Agfa-Gevaert Group (Belgium), Carestream Health (US) The global X-ray detectors market is on a trajectory of sustained growth, projected to expand from US$3.4 billion in 2025 to US$4.4 billion by 2030, advancing at a CAGR of 5.5%. As digital transformation accelerates across healthcare, defense, and industrial sectors, X-ray detector technologies have become a key enabler of high-stakes decision-making, operational efficiency, and national security. For C-level executives and senior decision-makers, this evolution represents more than a technological upgrade—it's a strategic opportunity for ROI, innovation, and competitive advantage. Download PDF Brochure: Healthcare, Defense, and Beyond: Why the X-Ray Detectors Market Is Booming X-ray detectors are no longer limited to diagnostic imaging in hospitals. They are transforming border security, aerospace inspections, homeland defense, and precision medicine, thanks to major advances in flat-panel technologies, backscatter X-rays, and photon-counting detectors. Here's why this market matters for enterprise leaders: Security and Defense Digitization: Airports, seaports, and critical checkpoints are integrating advanced X-ray imaging to combat emerging threats. High-resolution, real-time detection of concealed weapons, explosives, and contraband is now critical for national and global security. Medical Imaging Modernization: As healthcare systems digitize globally, the shift from analog to flat-panel digital radiography ensures higher throughput, faster diagnostics, and improved patient safety—delivering both clinical value and operational cost savings. Industrial Inspection & Automation: Rugged and handheld detectors are increasingly used for non-destructive testing (NDT) in aerospace, oil & gas, and manufacturing—ensuring safety, compliance, and uptime in mission-critical systems. Market Leaders & Strategic Differentiators Varex Imaging (US): Diversification and Deep Sector Expertise Varex Imaging exemplifies the market's transition from traditional radiology to multisector innovation. With strong capabilities across medical, industrial, and security imaging, Varex's inorganic growth strategy—driven by acquisitions and global expansion—makes it a versatile partner for OEMs and system integrators. 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Request Sample Pages : Technology Spotlight: Flat-Panel Detectors Drive Value Flat-panel detectors (FPDs), particularly those using cesium iodide (CsI), dominate the technology landscape due to: Superior Image Resolution: Ideal for early detection of chronic conditions like cancer or cardiovascular disease. Reduced Radiation Dosage: Enhances patient safety and supports regulatory compliance. Faster Image Acquisition: Improves clinical workflow and diagnostic throughput. With hospitals and imaging centers under pressure to improve diagnostic accuracy while managing costs, FPDs represent a high-ROI investment with proven clinical and operational benefits. Geographic Growth Hotspots: Strategic Markets to Watch North America remains the most mature market, driven by advanced infrastructure, strong reimbursement systems, and early adoption of AI-enhanced imaging. 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Globe and Mail
22 minutes ago
- Globe and Mail
Deepfake AI Market Latest Trends, Future Outlook, Size, Share, Applications, Advance Technology And Forecast
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Generative Adversarial Networks (GANs) and diffusion models, which enable hyper-realistic deepfake generation; the growing creator economy and social media's demand for creative content, which leads to wider adoption; and the concerning increase in deepfake frauds and misinformation, which feeds the urgent need for reliable detection solutions across industries, are the main factors driving the deepfake AI market. Download PDF Brochure@ The deepfake AI market is witnessing accelerated growth due to the rising adoption of multimodal detection systems that combine audio-visual signals with metadata analysis to enhance detection precision. As synthetic media becomes more layered, with deepfakes now blending facial animations, voice mimicry, and scene manipulation, enterprises are investing in tools that analyze cross-modal inconsistencies rather than relying on isolated visual cues. 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Generative adversarial networks remain the backbone technology of deepfake AI development and detection, registering the largest share by market value in 2025 Among all core technologies underpinning the deepfake AI market, Generative Adversarial Networks (GANs) represent the largest and most commercially entrenched segment. Their bidirectional framework—comprising generator and discriminator models—forms the foundational mechanism for crafting synthetic media and serves as the analytical basis for detecting forgeries with increasing accuracy. GANs have matured from research prototypes to enterprise-grade engines that power a wide spectrum of deepfake capabilities, including face swapping, expression control, voice imitation, and image realism scoring. On the detection side, their adversarial structure is being reverse-engineered to identify digital fingerprints, compression artifacts, and inconsistencies in texture, lighting, or pixel alignment. GANs are also embedded in real-time media forensics and security pipelines, especially across sectors such as law enforcement and social platforms, where they aid in decoding malicious manipulation. The widespread availability of pre-trained GAN libraries and cloud-based tools is fueling enterprise adoption and reducing time-to-deployment for deepfake-centric solutions. Their continued evolution into variants like StyleGAN and conditional GANs is enabling more granular control and detection precision, positioning them as the dominant technology category in both deepfake generation and defense. BFSI is expected to be the fastest-growing vertical during the forecast period, fueled by a spike in synthetic fraud threats and regulatory pressure By vertical, the BFSI sector is expected to register the fastest growth in the deepfake AI market during the forecast period, driven by rising concerns around digital identity fraud, social engineering attacks, and synthetic KYC submissions. 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With regulators in several jurisdictions issuing early-stage guidelines on synthetic identity detection, the BFSI segment is rapidly becoming the proving ground for enterprise-grade, compliant deepfake AI solutions. Asia Pacific to witness the fastest growth in the deepfake AI market, accelerated by a surge in synthetic media abuse and high-volume digital onboarding across financial institutions Asia Pacific is witnessing the fastest growth in the deepfake AI market, fueled by rapid digital transformation, a booming social media user base, and mounting cybersecurity threats. Countries such as China, India, South Korea, and Japan are experiencing a surge in manipulated media cases, ranging from identity fraud to misinformation campaigns, which are prompting governments and enterprises to invest in detection and liveness verification technologies. Financial institutions across the region are embedding deepfake identification tools within eKYC and fraud prevention systems, especially in emerging markets with high digital onboarding volumes. Regulatory bodies have also begun tightening guidelines on content authenticity and AI usage, encouraging the adoption of compliant AI governance and media authentication layers. The region's large pool of AI research talent, combined with public-private collaborations, is accelerating the development of multimodal detection models customized for regional languages and facial features. Additionally, Asia Pacific's growing investments in metaverse infrastructure and synthetic media production are creating parallel demand for quality control tools. Enterprises in sectors such as BFSI, government, and media are now embedding deepfake detection capabilities at the infrastructure level, positioning Asia Pacific as the most dynamic growth hub for deepfake AI during the forecast period. Request Sample Pages@ Unique Features in the Deepfake AI Market Generative Adversarial Networks (GANs) remain the backbone of deepfake generation, responsible for creating highly realistic synthetic media by pitting generator and discriminator models against each other. These systems capture subtle facial expressions, voice patterns, and micro‑motions. Meanwhile, transformer-based architectures—rapidly growing in adoption—are key in boosting realism, temporal coherence, and multimodal integration in deepfake outputs Platforms like Synthesia and Colossyan offer scalable generation of AI avatars that support dozens of languages, enabling video production without cameras or actors. Reid Hoffman's "deepfake twin" experiment shows how these tools can clone one's voice and extend it into multiple languages—used, for example, to deliver speeches in Hindi, Chinese, Japanese, and more Deepfake maturity now includes real-time and even autonomous generation, where AI-driven agents interact live across platforms. Check Point Research notes these can be used in scams like CEO fraud in live video calls, with losses exceeding tens of millions in recent incidents The detection segment has grown sophisticated: solutions like Vastav AI (India‑based), Intel FakeCatcher, BioID, Veritone, etc., offer forensic-level detection, metadata inspection, confidence scoring, and heatmaps to identify deepfakes in real time. These tools are increasingly offered on cloud platforms for scalable enterprise deployment Major Highlights of the Deepfake AI Market The deepfake AI market is witnessing explosive growth, driven by advancements in generative AI, computer vision, and natural language processing. Its use spans across entertainment, marketing, education, healthcare, and increasingly, malicious domains like misinformation and cyber fraud. The expansion of use cases—from Hollywood-grade face swapping to AI-generated avatars—underscores the growing versatility and commercial interest in the space. One of the most pressing highlights is the surge in cybercrime facilitated by deepfakes, particularly impersonation scams, political manipulation, and financial fraud. Real-time deepfake voice or video manipulation has been used in high-profile scams, including impersonation of CEOs during video calls to extract money or data. As technology becomes more accessible, threats to businesses and governments are becoming more sophisticated and harder to detect. To counteract misuse, the demand for deepfake detection technologies has surged. Tools from companies like Intel, Sensity AI, Deepware, and Vastav AI are being adopted by media platforms, financial institutions, and law enforcement. These tools use AI to identify manipulated content through metadata, facial distortions, lip sync mismatches, and contextual anomalies—ushering in a new age of content authentication. Despite the risks, the deepfake AI market is also evolving positively, with ethical applications growing in fields like education, accessibility, marketing, and film production. For instance, AI avatars are being used for personalized learning, digital actors for low-budget film production, and language dubbing across global markets. These uses are helping to legitimize and monetize the technology in regulated ways. Inquire Before Buying@ Top Companies in the Deepfake AI Market The major players in the deepfake AI market include Datambit (UK), Microsoft (US), AWS (US), Google (US), Intel (US), Veritone (US), Cogito Tech (US), Primeau Forensics (US), iProov (UK), Kairos (US), ValidSoft (US), MyHeritage (Israel), HyperVerge (US), BioID (Germany), DuckDuckGoose AI (Netherlands), Pindrop (US), Truepic (US), Synthesia (UK), (US), Deepware (Turkey), iDenfy (US), Q-Integrity (Switzerland), D-ID (Israel), Resemble AI (US), Sensity AI (Netherlands), Reality Defender (US), Attestiv (US), WeVerify (Germany), (US), Kroop AI (India), Respeecher (Ukraine), DeepSwap (US), Reface (Ukraine), (UK), Oz Forensics (UAE), Perfios (US), Illuminarty (US), Deepfake Detector (UK), buster (France), AutheticID (US), Jumio (US), and Paravision (US). Microsoft Microsoft has become one of the key players in the deepfake AI market through a broader strategy of embedding advanced AI ethics, trust, and safety measures across its expansive product ecosystem. Recognizing the threat posed by synthetic media to digital trust, Microsoft has developed and integrated technologies such as the Microsoft Video Authenticator, which can analyze photos and videos to provide a confidence score about whether the media is artificially manipulated. Additionally, Microsoft's strategic acquisition of startups and partnerships with academic institutions have strengthened its detection capabilities. A notable move was its collaboration with the AI Foundation to advance responsible content creation and fight deepfake misuse. By embedding deepfake detection and authenticity verification tools within its Azure AI and Microsoft 365 suites, Microsoft empowers enterprises, media outlets, and government agencies to protect against misinformation. The company has also backed initiatives like Project Origin and the Coalition for Content Provenance and Authenticity (C2PA) to promote industry-wide standards for digital media provenance. These strategic choices align with Microsoft's trust-first brand positioning, giving it an edge in addressing regulatory concerns and building customer confidence. Moreover, Microsoft invests heavily in educating its enterprise customers on synthetic media threats, positioning itself not just as a tech provider but as a key thought leader shaping policy discussions on deepfakes. This multi-faceted approach has helped Microsoft strengthen its share in the deepfake AI market while reinforcing its commitment to digital security and ethical AI innovation. Google Google has emerged as one of the most influential technology players tackling the challenges posed by deepfakes through a mix of pioneering research, robust product integration, and strategic ecosystem collaboration. Google's decision to publicly release one of the largest deepfake datasets, the DeepFake Detection Dataset, gave the global research community a valuable resource to train and benchmark detection models. This open-source approach demonstrates Google's commitment to transparency and collective progress in combating synthetic media threats. On the product side, Google has embedded detection capabilities within its YouTube platform to counter manipulated videos and misinformation campaigns, investing heavily in machine learning models that flag fake content at scale. Google has also been a driving force behind open standards for digital media authenticity through partnerships with the Content Authenticity Initiative (CAI) and the Coalition for Content Provenance and Authenticity (C2PA), aligning its strategy with industry leaders like Adobe and Twitter. Beyond detection, Google's AI research teams at DeepMind contribute foundational research on generative adversarial networks (GANs) and countermeasures, ensuring it stays at the forefront of both generation and detection advancements. By combining its technical expertise, vast computing infrastructure, and global reach, Google is uniquely positioned to address deepfake risks across platforms and devices. This proactive, research-driven approach enhances its reputation as a trusted steward of information integrity, bolstering its competitive advantage in the rapidly evolving deepfake AI market. Datambit Datambit is a UK-based AI company recognized for its innovative contributions to multimedia forensics and synthetic media detection. In the Deepfake AI market, Datambit focuses on developing advanced detection systems that leverage computer vision and machine learning to identify manipulated video and audio content. Their solutions are increasingly adopted by media companies, legal entities, and cybersecurity firms to combat misinformation, protect brand integrity, and enhance content authenticity in a rapidly evolving digital landscape. Amazon Web Services (AWS) Amazon Web Services (AWS) plays a pivotal role in the Deepfake AI market by offering scalable cloud infrastructure and machine learning tools that enable the development and deployment of deepfake generation and detection technologies. Through services like Amazon Rekognition and SageMaker, AWS supports researchers, developers, and enterprises in creating synthetic media as well as detecting manipulated content. AWS also emphasizes ethical AI use, providing resources and policies aimed at mitigating the misuse of generative models. Intel Corporation Intel is a key player in the Deepfake AI space, driving innovation through its hardware acceleration technologies and AI research. The company collaborates with academic and industry partners to develop tools for deepfake detection, including the FakeCatcher—a real-time deepfake detection platform that identifies synthetic content by analyzing subtle biological signals in videos. Intel's commitment to responsible AI development and content authenticity positions it as a trusted leader in countering the spread of manipulated media across industries.


Globe and Mail
an hour ago
- Globe and Mail
PGR vs. BRK.B: Which Insurer is a Safer Investment Option?
The U.S. auto insurance market is projected to reach $349.37 billion by 2025, with an average spending per capita of $1020, according to Statista. Despite a slowdown in rate increases, the average cost of full coverage car insurance is expected to reach a record high of $2,101 per year, according to The State of Auto Insurance in 2025 report. The U.S. auto insurance industry is poised to grow on increased awareness of the need for insurance, technological advancements, evolving car ownership trends, rising cost of ownership and the emergence of online platforms. The Progressive Corporation PGR and Berkshire Hathaway Inc. ( BRK.B ) — both notable auto insurers — are expected to grow, banking on these positives. Yet, as an investment option, which stock is more attractive? Let's closely look at the fundamentals of these stocks. Factors to Consider for PGR PGR is one of the country's largest auto insurance groups, the largest seller of motorcycle and boat policies, the market leader in commercial auto insurance and one of the top 15 homeowners carriers based on premiums written. Most of PGR's premium comes from auto insurance, though it is on track to expand its offerings into homeowners and commercial insurance. As part of its growth strategy, Progressive is prioritizing auto bundles, lowering exposure to risky properties and increasing segmentation through product rollouts. PGR's business mix is heavily weighted toward personal auto, both in the direct and agency channels. Contributing about 90% to Personal Lines net premiums written and 75% of total company premiums, personal auto's performance has a significant impact on Progressive's profitability. The Personal Auto is poised to grow banking on rate increase, higher new personal auto applications, driven by higher advertising spend, an increase in non-rate actions to drive growth and a strong independent agents' network. The Personal Auto segment thus remains a long-term growth driver for Progressive, fueling both premium volume and profitability. Its profitability should continue to benefit from higher average earned premium per policy, lower incurred loss frequency trends and, in personal auto, favorable prior accident years reserve development. Its Snapshot program supports personalized pricing, strengthening its competitive position across all markets. Its expanded multi-product portfolio continues to fuel growth and has led to improvements in policy life expectancy (PLE) — a key measure of customer retention — which has consistently risen across all business segments in recent years. Over a decade, PGR's average combined ratio has stayed under 93%, outperforming the industry average of over 100%. This performance reflects strong underwriting discipline and favorable reserve development, both of which should help the company retain the momentum. In line with industry trends, Progressive has embraced digital transformation, including the adoption of AI technologies. . Progressive's comprehensive reinsurance program shields it from the adverse financial impacts of catastrophic events and active weather periods, helping to maintain the integrity of its balance sheet. Net margin, measuring a company's profitability, has been showing continuous improvement. The metric expanded 950 basis points in the last two years, banking on rising demand for personal auto insurance policies as well as prudent risk management. PGR's solid cash flow ensures continuous investment in growth initiatives, including digitalization, which helps improve margins. PGR has been enhancing its book value and lowering leverage, banking on operational expertise. Its return on equity of 35.4% betters the industry average of 7.8. PGR shares have gained 1.4% year to date. Factors to Consider for BRK.B Berkshire Hathaway is a diversified conglomerate with ownership in more than 90 subsidiaries across a broad range of industries, including insurance and consumer products. This helps to minimize concentration risk. Of these, insurance is the most prominent, contributing approximately one-fourth of the company's total revenues. This segment is well-positioned for continued growth, driven by increased market exposure, disciplined underwriting practices and favorable pricing trends. GEICO, a cornerstone of Berkshire's insurance operations, is the second-largest auto insurer in the United States and has long been a key driver of the company's insurance float. Its direct-to-consumer model, cost discipline and strong underwriting have historically enabled superior combined ratios and consistent profitability. In recent years, however, GEICO has come under pressure, losing market share to agile competitors like Progressive, which adopted telematics and usage-based pricing more swiftly. Inflation, higher accident frequency, and slow rate adjustments have hurt its underwriting performance. In response, Berkshire has taken corrective steps, including rolling out a telematics program and bolstering its focus on technology-driven underwriting to sharpen pricing and risk assessment—aiming to restore GEICO's competitive edge. The growth of its insurance business not only expands its float but also strengthens earnings, improves return on equity and provides the financial flexibility to pursue strategic acquisitions. With a strong cash position, Berkshire frequently acquires companies or raises its stakes in those that deliver consistent earnings and high returns on equity. While large acquisitions introduce growth opportunities, smaller bolt-on deals enhance operational efficiency and profitability. Net margin, measuring a company's profitability, has been showing continuous improvement. The metric expanded 1650 basis points in the last two years. Financially, the company remains solid, with over $100 billion in cash reserves, minimal debt and a strong credit profile. Its return on equity of 6.9% is lower than the industry average. BRK.B shares have gained 2.4% year to date. Estimates for PGR and BRK.B The Zacks Consensus Estimate for PGR's 2025 revenues and EPS implies a year-over-year increase of 16.5% and 24.4%, respectively. EPS estimates have moved 5.4% northward over the past 30 days. PGR has a Growth Score of A. On the other hand, the Zacks Consensus Estimate for BRK.B's 2025 revenues implies a year-over-year increase of 8.5% while the same for EPS indicates a decline of 6.7% year over year. EPS estimates have witnessed no revision over the past 30 days. BRK.B has a Growth Score of D. Are PGR and BRK.B Shares Expensive? Progressive is trading at a price-to-book multiple of 4.37, below its median of 5.37 over the last five years. Berkshire's price-to-book multiple sits at 1.53, above its median of 1.48 over the last five years. Conclusion PGR remains focused on increasing the share of auto and home-bundled households, investing in mobile applications and rolling out products in a higher number of states to drive growth. Holding shares of Berkshire Hathaway adds dynamism to shareholders' portfolios. It has Warren Buffett at its helm, who has been creating tremendous value for shareholders over nearly six decades with his unique skills. However, all eyes are now on how the behemoth fares when Greg Abel succeeds Warren Buffett as the CEO of Berkshire, starting Jan. 1, 2026. Warren Buffett will continue to be the company's executive chairman. Both these insurers have weathered cost challenges well, as evident from their continued net margin improvement. Yet, on the basis of return on equity, which reflects a company's efficiency in generating profit from shareholders' equity as well as gives a clear picture of the company's financial health, PGR scores higher than BRK.B. Progressive has a VGM Score of A, while Berkshire carries a VGM Score of D. PGR, with a Zacks Rank #2 (Buy), has an edge over BRK.B, which carries a Zacks Rank #3 (Hold). You can see . Zacks' Research Chief Picks Stock Most Likely to "At Least Double" Our experts have revealed their Top 5 recommendations with money-doubling potential – and Director of Research Sheraz Mian believes one is superior to the others. Of course, all our picks aren't winners but this one could far surpass earlier recommendations like Hims & Hers Health, which shot up +209%. See Our Top Stock to Double (Plus 4 Runners Up) >> Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report Berkshire Hathaway Inc. (BRK.B): Free Stock Analysis Report The Progressive Corporation (PGR): Free Stock Analysis Report