Core Insights - Celestica Inc. has launched two new data center switches, the DS6000 and DS6001, which double the capacity of its existing 800G solutions to meet the demands of AI networking [1][7] - The new switches are based on Broadcom's Tomahawk 6 Ethernet switch chip and are designed for high bandwidth and low latency, catering to modern AI and machine learning workloads [1][2] Product Launch and Features - The DS6000 is a 64-port switch for traditional air-cooled data centers, while the DS6001 is designed for hybrid cooling environments, utilizing both air and liquid cooling [2] - Both switches support an open-source Network Operating System, enabling versatile deployment across various use cases from data centers to edge computing [2] Market Position and Growth Drivers - Celestica is benefiting from the generative AI boom, with strong demand for AI/ML and networking products from hyperscale customers [3][4] - The company has a diverse product portfolio essential for AI applications, which has contributed to healthy revenue growth [3][4] Strategic Focus and Innovation - The increasing demand for AI-based applications is driving the need for Celestica's enterprise-level data communications and infrastructure products [4][6] - The company is focusing on product diversification and expanding its presence in high-value markets to capitalize on the growing AI workload demands [6][8] Financial Performance - Celestica's stock has increased by 285.9% over the past year, significantly outperforming the industry average of 30.7% and competitors like Flex Ltd. and Jabil Inc. [9] - Earnings estimates for 2025 and 2026 have risen by 25.3% to $5.55 and 17.1% to $6.78, respectively, indicating optimism about the company's growth potential [11] Research and Development - The company has strong research and development capabilities, allowing it to produce complex technology infrastructure products for various industries, enhancing business resilience [8][12] - As production volumes scale up and costs decrease, the new data center switches are expected to see increased adoption, further fueling growth [12]

Hi everyone recognize me. If you've watched Paresa's promo video for today's TEDex talk, you might remember me. I'm her AI twin.And um well, I was supposed to give this talk on her behalf. No, you were expecting a human, someone with warmth, a little unpredictability, maybe even some nervous energy. And definitely not someone with this fake perfect and this time British accent.I'm just lines of code, no heartbeat. So, um I'll let the real Parisa take over. Thank you for not replacing me.And here I'm trying ...

Summary of Global Datacenter Supply/Demand Update Industry Overview - The report focuses on the global datacenter industry, highlighting supply and demand dynamics influenced by AI infrastructure developments and partnerships from major players like Nvidia, OpenAI, and Oracle [1][2][3]. Key Insights Supply and Demand Dynamics - The global datacenter supply/demand model indicates that tight conditions are expected to persist into 2026, with peak occupancy levels extending beyond previous forecasts [3][13]. - Current occupancy rates for outsourced datacenter providers remain elevated, with lease prices rising faster than build cost inflation [2][3]. - The forecast suggests a gradual loosening of supply/demand balance starting in 2027, but demand growth may keep occupancy rates high for an extended period [3][4]. Demand Forecast - As of Q3 2025, global datacenter demand is estimated at approximately 69 GW, with a projected growth of 45% to 100 GW by 2027. AI workloads are expected to increase from 14% to 30% of the overall market [15][20]. - AI workloads are forecasted to grow at a 104% CAGR from Q4 2022 to Q4 2026, while traditional workloads are expected to grow at a modest 2% [16][22]. Supply Forecast - The current global datacenter market capacity is approximately 75 GW, with a forecasted increase to about 150 GW by 2030, reflecting a 6-year CAGR of ~15% [23][31]. - Significant capacity additions include 2 GW for Homer City and 5.6 GW planned by hyperscalers through 2030 [12][31]. Risks and Uncertainties - Potential demand trajectory shifts are monitored, particularly concerning AI monetization and supply disruptions from large-scale AI initiatives [4][18]. - Scenarios analyzed include "AI downside," "cloud downside," and "excess supply," which could significantly impact demand and occupancy forecasts [50][55][59]. Implications for Datacenter Operators Digital Realty (DLR) - DLR is positioned to benefit from strong pricing power due to supply constraints and increasing demand for power-intensive infrastructure driven by AI workloads [65][66]. - The company has a 700 MW development pipeline and is leveraging strategic joint ventures to maintain financial flexibility while expanding capacity [67][68]. Equinix (EQIX) - EQIX focuses on retail colocation and is well-positioned to benefit from the transition to AI inference workloads, with a robust interconnection ecosystem [69][71]. - The company plans to accelerate capital investments to address supply constraints and capitalize on long-term market trends [72][73]. Iron Mountain (IRM) - IRM has a growing data center business, with a current operational capacity of approximately 1.3 GW and plans for significant expansion [74][76]. - The company anticipates strong data center revenue growth driven by AI deployments, with a focus on long-term contracts with hyperscale clients [77][78]. China Datacenter Operators (GDS and VNET) - China's datacenter market is experiencing rapid capacity growth, with expectations to reach 30 GW by 2025, driven by AI and cloud demand [83][84]. - GDS and VNET are positioned for growth, with VNET transitioning to a wholesale IDC operator and GDS focusing on expanding capacity to meet demand [85][86]. Conclusion - The global datacenter market is poised for substantial growth driven by AI and cloud workloads, with supply constraints expected to persist into 2026. Key players are strategically positioned to capitalize on these trends, although risks and uncertainties remain regarding demand sustainability and potential supply disruptions.

About this content About Oliver Haill Oliver has been writing about companies and markets since the early 2000s, cutting his teeth as a financial journalist at Growth Company Investor with a focusing on AIM companies and small caps, before a few years later becoming a section editor and then head of research. He joined Proactive after a couple of years freelancing, where he worked for the Financial Times Group, ITV, Press Association, Reuters sports desk, the London Olympic News Service, Rugby World Cup ...

Core Insights - Investor interest in artificial intelligence (AI) is surging, leading many companies to promote their AI product roadmaps, but identifying legitimate AI stocks that generate revenue from generative AI remains challenging [1][2] - The rise of generative AI presents both risks and opportunities for companies like Alphabet [1][2] Company Developments - Microsoft is the largest investor in OpenAI, a leader in generative AI training models, and is expected to enhance its AI Office 365 Copilot technology at the upcoming Build developer conference [3][4] - Nvidia's shares have increased by 87% in 2024, following a 239% rise in the previous year, with analysts predicting a 400% EPS growth to $5.58 and a 240% revenue increase to $24.51 billion for the upcoming earnings report [4][5] - OpenAI recently launched GPT-4o, an advanced AI model, while Alphabet made AI announcements at Google I/O, indicating a competitive landscape in AI development [5][6] Market Trends - Capital spending is increasing among major tech firms, including Meta Platforms, which has faced a weaker revenue outlook [6][7] - The demand for AI chips is primarily driven by cloud computing giants and internet companies, with a shift expected towards "edge AI" for on-device processing [12][18] - Enterprises are projected to spend over $40 billion on generative AI solutions in 2024, a 106% increase from the previous year, with the market expected to reach $151 billion by 2027 [23][41] Competitive Landscape - Nvidia faces competition from Advanced Micro Devices (AMD), which has seen a decline in stock value due to disappointing sales guidance for its MI300 accelerator chips [7][8] - Other notable AI chipmakers include Broadcom and Marvell Technologies, with a growing number of AI chip startups entering the market [7][40] - Companies like Salesforce and CrowdStrike are integrating AI into their products, with Salesforce's Einstein 1 Studio and CrowdStrike's generative AI upgrade priced at $20 annually per endpoint [11][25] Future Outlook - The integration of AI tools into software products is expected to drive increased spending, with generative AI software spending projected to grow from $1 billion in 2022 to $81 billion by 2027 [28][41] - The competition among tech giants in AI is intensifying, with companies like Amazon and Google expanding their AI capabilities across various platforms [32][33][34] - The formation of the AI Alliance, which includes major companies like Meta and IBM, aims to support open-source AI models against proprietary systems [21][22]

MONTREAL , Oct. 13, 2025 /PRNewswire/ - Coveo , the leader in AI-Relevance, delivering best-in-class AI-search and generative experiences that maximize business outcomes at every point-of-experience, today announced that it has achieved the Amazon Web Services (AWS) Generative AI Competency. This specialization recognizes Coveo as an AWS Partner that helps customers and the AWS Partner Network (APN) drive the advancement of services, tools, and infrastructure pivotal for implementing generative AI technolog ...

Core Insights - Salesforce is enhancing its Agentforce software by introducing voice capabilities, allowing clients to utilize AI agents for customer interactions beyond text [1] - The generative AI landscape is evolving, with voice becoming a significant component, as seen with advancements from companies like OpenAI and Anthropic [2] - Salesforce's stock has faced challenges, declining approximately 28% in 2025, contrasting with a 15% gain in the Nasdaq [4] Company Developments - Agentforce Voice enables customization of voice tone, speed, and pronunciation, and allows interruptions during calls, integrating with major corporate phone systems [1][2] - Salesforce's Agentforce has over 12,000 implementations, but there is skepticism regarding its popularity and adoption rates [6][7] - The company plans to offer early access to Agent Script software in November, which will allow organizations to tailor agent responses [7] Market Context - Former Salesforce co-CEO Bret Taylor's startup Sierra, valued at $10 billion, is also entering the AI voice market, indicating competitive pressures [3] - Concerns have been raised about the potential disruption AI may cause to workforce needs and demand for Salesforce's offerings, although CEO Marc Benioff has downplayed these risks [5][6]

Core Insights - Infosys has launched the Infosys Customer Experience Suite for Salesforce, aimed at automating and optimizing customer engagement processes for organizations looking to scale digital operations and integrate AI-driven automation across various channels [1][6] - The suite utilizes Infosys Topaz and Salesforce's agentic AI capabilities to automate service requests, sales workflows, and employee support functions, enhancing personalized customer interactions [2][6] - The solutions are designed for interoperability with existing enterprise systems, ensuring real-time data processing and compliance with regulatory and ethical standards [3] Implementation and Impact - The suite has been deployed in production environments, with one implementation at a research institute leading to reduced process inefficiencies and improved response times [4] - A media company deployment utilized Salesforce's agentic AI to decrease transactional inquiries, minimize spam, and shorten case resolution times [5] - Fluido, an Infosys subsidiary, played a role in redesigning customer experience frameworks, focusing on process simplification and data harmonization with AI as a core component [5] Strategic Positioning - Infosys aims to provide enterprises with scalable automation tools to support digital transformation and measurable operational improvements [6] - The collaboration with Salesforce positions Infosys to empower businesses in adapting to the evolving landscape of AI services [4][6]

Bank of America Corporation (NYSE:BAC) will release earnings results for the third quarter, before the opening bell on Wednesday, Oct. 15.Analysts expect the Charlotte, North Carolina-based company to report quarterly earnings at 95 cents per share, up from 81 cents per share in the year-ago period. Bank of America projects quarterly revenue of $27.38 billion, compared to $25.34 billion a year earlier, according to data from Benzinga Pro.On Sept. 30, Bank of America said it has rolled out a generative AI to ...

Earnings Report - Bank of America is set to release its third-quarter earnings results on October 15, with analysts expecting earnings of 95 cents per share, an increase from 81 cents per share in the same period last year [1] - The projected quarterly revenue is $27.38 billion, compared to $25.34 billion a year earlier [1] AI Tool Implementation - On September 30, Bank of America launched a generative AI tool to enhance its Global Payments Solutions team, which serves over 40,000 business clients globally [2] Stock Performance - Shares of Bank of America fell by 2.3%, closing at $48.65 on the previous Friday [2] Analyst Ratings - The consensus rating for Bank of America is "Buy," with a highest price target of $66.00 and a lowest price target of $33.90, resulting in a consensus price target of $49.48 [4] Recent Analyst Actions - Evercore ISI Group analyst Glenn Schorr maintained an Outperform rating and raised the price target from $49 to $55 [6] - Oppenheimer analyst Chris Kotowski maintained an Outperform rating and lowered the price target from $57 to $56 [6] - Citigroup analyst Keith Horowitz maintained a Buy rating and raised the price target from $54 to $58 [6] - Wells Fargo analyst Mike Mayo maintained an Overweight rating and raised the price target from $56 to $60 [6] - RBC Capital analyst Gerard Cassidy maintained an Outperform rating and increased the price target from $45 to $53 [6]