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Acer's Swift Go 14 AI laptop is perfect for college students on the go — here's how it stacked up in our tests

Acer's Swift Go 14 AI laptop is perfect for college students on the go — here's how it stacked up in our tests

When I started looking for new college laptops to test, the Acer Swift Go 14 AI was nowhere on my radar. Most Windows laptops use Intel or AMD processors, but this model uses a Qualcomm Snapdragon CPU, which hasn't traditionally been viewed as a top-tier option.
But thank goodness I gave it a look, because the Swift Go 14 AI is one of the most exciting laptops I've reviewed. Its impressive performance has completely changed my opinion of Snapdragon CPUs, and convinced me that Microsoft's line of "Copilot Plus" PCs (which includes this laptop) is more than just a marketing gimmick.
But if all the Swift Go 14 AI had was a solid CPU, it wouldn't be worth the money. Luckily, Acer backs up the processor with a slim frame, a bright screen, and an absolutely bonkers amount of battery life. This all adds up to a fantastic productivity laptop that's perfect for work and school.
The laptop looks basic, but it feels great to use
In an age when every laptop company is trying to reinvent the MacBook, the Swift Go 14 AI's design isn't anything new. It's colored a dull silver-gray with black membrane keys, has visible hinges, and is covered in fan vents. Nothing special.
But in the places that count most, the laptop shines. Its light weight — about three pounds — and slim frame make it easy to slip into a backpack or briefcase, or even just carry around under your arm. That portability is one of its greatest strengths.
It helps that the laptop charges using a basic USB-C cable. This means you don't have to worry about dealing with bulky AC adapters or charging bricks that weigh you down. A terabyte of included solid-state storage also means less worrying about external drives.
The black membrane keyboard I mentioned might not look fancy, but it feels just fine. I've spent hours typing on it, and haven't felt any strain or ache. It also includes an adjustable backlight, although it's pretty dim.
For whatever reason, vibrant displays are a rarity on most laptops — here, however, the screen is a highlight. The 14.5-inch LCD screen boasts a 120Hz refresh rate and 2560x1600 resolution. Those are surprisingly good specs for a productivity-focused laptop like this, and give this model a little something extra for those who want to use it for casual gaming or content creation. It's also brighter than the industry average, maxing out at about 400 nits.
Also worth shouting out is the webcam. It's QHD (1440p), meaning its video is four times the resolution of the industry standard 720p, and captures almost two times the total number of pixels of a 1080p camera, which is often considered a luxury. It also includes a privacy shutter, which is always a nice extra.
However, some parts of the Swift Go 14 AI's design disappoint. The built-in speakers aren't awful — I've definitely heard worse on cheaper laptops — but they have a tinny quality that makes bass-heavy songs sound shallow. And when the laptop's fans rev up to full speed, which they often do during system updates, they create a surprisingly loud roar.
Performance exceeded my expectations
Going in, I expected the Acer Swift Go 14 AI to be slow and sluggish. Thankfully, it's anything but.
While most Windows laptops use either Intel or AMD processors, this laptop uses a Qualcomm Snapdragon X Plus. The Snapdragon brand isn't new, but previous models haven't been known for their power. In the past, you'd usually find them in Android phones or tablets. It wasn't a name that inspired confidence in the laptop market.
Consider me surprised to find that the Snapdragon X Plus not only excels at most tasks, but also outperforms some pricier laptops. Geekbench testing has it coming in at an average CPU score of 11,152, which is on par or better than almost any Intel Core Ultra chip and within striking distance of many top-tier Intel Core i9 and AMD Ryzen mobile chips from the previous generation.
This plays out in practice, too. Programs, folders, and files run quickly. Boot times are also low. I found very few programs that didn't run well on it. Even the 3D-modeling app Blender runs remarkably smoothly, only lagging when it comes time to shade or render models. It boasts 16GB of RAM, which isn't an outstanding achievement — 16GB should really be the minimum in any computer these days — but it does help with performance.
Admittedly, the laptop does struggle in the graphics department. It's not the PC of choice for 3D games released in the last few years, and video editing could prove to be a problem. And despite the "AI" branding, it's definitely not made for any sort of serious AI image- or video-generation work. Even integrated Intel graphics outpace it.
Other sorts of AI tools, like live transcription or real-time webcam enhancements, work much better, although I didn't find them any faster or otherwise superior to the AI tools on other laptops with similar specs.
So the Snapdragon X Plus offers good processing power but subpar graphical power. If that was the whole story, it wouldn't be that impressive — but to truly understand the Snapdragon X Plus' appeal, you have to look at the battery life.
It has unbelievably long battery life
I've been reviewing laptops for years, and I've come to accept that most great laptops also have middling-to-horrible battery life. Under usual load, the average Intel- or AMD-powered laptop will last about three to nine hours.
The Acer Swift Go 14 AI can last between six to 23 hours. That's not an exaggeration. The Snapdragon X Plus is specifically designed to use less power than more standard chips, and it succeeds at this goal.
I've had the Swift Go 14 AI last for entire work shifts, even at max brightness. It's shocking to notice a low battery warning, only to check and see that your laptop still has five hours of life left.
It's this impressive battery performance that makes the Swift Go 14 AI such a great portable device. Even if you don't have a charger, you don't have to worry about your laptop suddenly dying. It's a worthwhile tradeoff for the laptops' disappointing graphical power.
A small selection of Windows apps might not run
Though I was impressed by its power, the laptop's Snapdragon processor has a specific limitation, which could prove inconsequential or major depending on how you use it.
Most computers are built with "x64" processors, and nearly every PC program is built to run on those chips. But some modern laptops (like the Swift Go 14 AI) are built with "ARM64" processors instead, which emphasize battery life over power.
Having an ARM64 processor won't be an issue for most apps. Popular Windows programs, from Spotify to Google Chrome to the Microsoft 365 suite, are all supported without any problems. These days, it's much harder to find a program that won't work with ARM64 than one that will.
However, a few x64 programs still don't support ARM64, including design apps like AutoCAD. Some Adobe apps might also run a bit slower since they're being emulated, but Adobe is actively working on improving this.
More and more companies are developing ARM-supported apps each day, so as ARM processors get more popular, this will be less of an issue. But if there are niche apps you rely on for work or school, it's worth checking to see if they have ARM versions before you buy a Snapdragon-powered laptop.
Should you buy the Acer Swift Go 14 AI?
The Swift Go 14 AI isn't a supercomputer, especially when it comes to graphical performance. But when it comes to being a reliable productivity and media machine — the kind you'll want by your side at school or work — it's a fantastic choice. This is particularly true given recent discounts, which have seen this model drop to $750.
The battery life is really what helps this laptop stand out. Modern devices have increasingly traded battery life for faster performance, and it's refreshing to find a laptop that prioritizes both. I'm excited to see how Qualcomm continues to improve its Snapdragon processors. One day, it might be legitimate competition to high-end Intel and AMD offerings.
Acer sells other "Swift" and "Swift Go" laptops, each of which has slightly different specs — and many of which feature Intel or AMD CPUs. But notably, the ARM-powered Swift Go 14 AI is the only one Acer brags about the battery life on.
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[Latest] Global Generative AI in IT Operations Market Size/Share Worth USD 29.13 Billion by 2034 at a 32.82% CAGR: Custom Market Insights (Analysis, Outlook, Leaders, Report, Trend, Forecast, Segmentation, Growth Rate, Value, SWOT Analysis)
[Latest] Global Generative AI in IT Operations Market Size/Share Worth USD 29.13 Billion by 2034 at a 32.82% CAGR: Custom Market Insights (Analysis, Outlook, Leaders, Report, Trend, Forecast, Segmentation, Growth Rate, Value, SWOT Analysis)

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[220+ Pages Latest Report] According to a market research study published by Custom Market Insights, the demand analysis of Global Generative AI in IT Operations Market size & share revenue was valued at approximately USD 1.71 Billion in 2024 and is expected to reach USD 2.26 Billion in 2025 and is expected to reach around USD 29.13 Billion by 2034, at a CAGR of 32.82% between 2025 and 2034. The key market players listed in the report with their sales, revenues and strategies are Amazon Web Services (AWS), AppDynamics, BMC Software, Broadcom, Dynatrace, Freshworks, Google Cloud (Alphabet), IBM, Micro Focus, Microsoft, Moogsoft, Oracle, PagerDuty, ServiceNow, and Splunk (Cisco) and others. Austin, TX, USA, Aug. 13, 2025 (GLOBE NEWSWIRE) -- Custom Market Insights has published a new research report titled 'Generative AI in IT Operations Market Size, Trends and Insights By Component (Software, Services), By Deployment Mode (Cloud-Based, On-Premises, Hybrid), By Enterprise Size (Small and Medium Enterprises (SMEs), Large Enterprises), By Application (Anomaly Detection & Incident Management, Root Cause Analysis (RCA), Capacity Planning, Change Risk Analysis, Intelligent Alerting, Predictive Analytics & Forecasting, Automation of IT Tasks, Log Analysis & Monitoring, Security & Compliance Automation), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034' in its research database. 'According to the latest research study, the demand of global Generative AI in IT Operations Market size & share was valued at approximately USD 1.71 Billion in 2024 and is expected to reach USD 2.26 Billion in 2025 and is expected to reach a value of around USD 29.13 Billion by 2034, at a compound annual growth rate (CAGR) of about 32.82% during the forecast period 2025 to 2034.' Click Here to Access a Free Sample Report of the Global Generative AI in IT Operations Market @ Overview According to experts at CMI, service providers using new strategies and technologies offer great chances for businesses in the Generative AI in IT Operations Market in the coming years. Furthermore, we expect the growing significance of organized retailing to drive the market's future growth. Key Trends & Drivers Shift Toward Autonomous IT Operations: Increasingly, organizations are moving into autonomous IT operations where systems self-monitor, heal, and optimize with the minimum amount of human intervention. Generative AI, in this particular scenario, plays a substantial role in producing incident-response suggestions, predicting issues, and performing all sorts of routine maintenance-type work. The trend is supported by the intention to free up manual workloads, facilitate faster response times, and ensure that availability is at an all-time high. In such an IT operation environment, autonomy certainly comes into force, especially in very large-scale, distributed environments where manual management is next to impossible. While enterprises are gearing up for operational resiliency and cost efficiency, this trend toward AI-led autonomy strengthens the demand for generative AI applications in IT operations. Integration with DevOps and CI/CD Pipelines: Generative AI is being channeled into DevOps and Continuous Integration/Continuous Deployment (CI/CD) pipelines to enhance software delivery speed and reliability. By running tests, validating deployment, and monitoring performance, generative AI acts to ensure smooth rollouts and quick resolutions to arising issues. The AI can simulate the outcome of a deployment and even forecast the associated risks before any change goes to production. This, therefore, complements the trend surrounding the rise of agile methodologies, where rapid iterations and little-to-no downtime are essential. Hence, the compatibility of development with IT operations continues to rank high as a strategy in the adoption of AI-powered DevOps integration, which feeds into market growth in the generative AI space. Request a Customized Copy of the Generative AI in IT Operations Market Report @ Rise of Explainable and Transparent AI Models: The increasing demand for explainable and transparent AI is expected to propel the demand for the growth of the market. Among key decision-making processes in IT operations, a stakeholder needs to know what AI has done and the reason for it. Vendors are responding with models that do not only resolve problems but also increase explainability by providing an audit trail and pertinent context. It does build trust and encourages collaboration between human operators and AI systems. In regulated industries, such collaboration is vital, where accountability or compliance is absolutely necessary. Explainable generative AI enhances the confidence of users and promotes wider use in sensitive and complex IT environments. Increased Use by Small and Medium Enterprises (SMEs): Whereas large enterprises led the initial adoption, SMEs seem to be now stepping in. Greater availability of cheaper AI tools and easier-to-use interfaces means smaller businesses are harnessing the tools now to perform IT operations, lessen the incidence of failure, and reduce the cost of operations. Cloud-hosted solutions, pay-as-you-go price models, and low-code/no-code builders make generative AI very feasible for smaller businesses. The democratization of AI is creating opportunities that were previously exclusive to large corporations. The adoption of IT in operations-related tools by SMEs is expected to increase dramatically over the next few years as they continue their digital transformation journey. Expansion of AI-Driven Security Operations (SecOps): Increasingly, generative AI finds application in Security Operations (SecOps) for the identification of threats and predictions of vulnerabilities, as well as to help frame automated responses. IT teams are now under pressure to successfully secure environments due to the increasing sophistication and frequency of cyber threats. AI models can also analyze security logs, identify anomalies, and simulate attack scenarios, thereby recommending proactive actions. Generative AI within SecOps enables rapid threat detection and reduces response time. Overall, as companies focus more on cybersecurity and following rules, the combination of IT operations and security through AI-driven platforms is rapidly becoming a major factor for growth in today's market. Real-Time Data Processing and Edge Intelligence: With the surge of IoT and edge computing technologies, now IT environments are more decentralized and in need of real-time monitoring and decision-making at the edge. Generative AI is being leveraged to work in these situations to perform local analysis, incident detection, and remediation, therefore reducing latency and enabling business continuity for critical applications. The real time data processing further supports the systems that are capable of adapting dynamically to performance conditions. With the increased demand for responsiveness and low-latency operations from sectors such as manufacturing, logistics, and telecom, generative AI working on the edge is gaining momentum toward becoming a massive trend for innovation and market expansion. Report Scope Feature of the Report Details Market Size in 2025 USD 2.26 Billion Projected Market Size in 2034 USD 29.13 Billion Market Size in 2024 USD 1.71 Billion CAGR Growth Rate 32.82% CAGR Base Year 2024 Forecast Period 2025-2034 Key Segment By Component, Deployment Mode, Enterprise Size, Application and Region Report Coverage Revenue Estimation and Forecast, Company Profile, Competitive Landscape, Growth Factors and Recent Trends Regional Scope North America, Europe, Asia Pacific, Middle East & Africa, and South & Central America Buying Options Request tailored purchasing options to fulfil your requirements for research. (A free sample of the Generative AI in IT Operations report is available upon request; please contact us for more information.) Our Free Sample Report Consists of the following: The updated report for 2024 includes an Introduction, an Overview, and an in-depth industry analysis. We have included the COVID-19 Pandemic Outbreak Impact Analysis in the package. About 220+ Pages Research Report (Including Recent Research) Provide detailed chapter-by-chapter guidance on the Request. Updated Regional Analysis with a Graphical Representation of Size, Share, and Trends for the Year 2025 Includes Tables and figures have been updated. The most recent version of the report includes the Top Market Players, their Business Strategies, Sales Volume, and Revenue Analysis Custom Market Insights (CMI) research methodology (Please note that the sample of the Generative AI in IT Operations report has been modified to include the COVID-19 impact study prior to delivery.) Request a Customized Copy of the Generative AI in IT Operations Market Report @ SWOT Analysis Strengths: Generative AI can automate a wide range of repetitive and time-consuming IT tasks, including ticket classification, alert triage, log analysis, code generation, and even automated incident resolution. By leveraging large language models (LLMs) trained on historical incident data and logs, Generative AI can analyze patterns, predict potential failures, and suggest preventive measures before problems escalate into outages. Generative AI solutions, especially cloud-based ones, are highly scalable and can dynamically adapt to manage complex, distributed systems in hybrid and multi-cloud environments. Weakness: Training and deploying large generative AI models require substantial computational resources (e.g., high-performance GPUs) and significant financial investment. Generative AI models are highly dependent on high-quality, diverse, and well-structured training data. Integrating Generative AI tools with existing legacy IT systems, workflows, and tools can be complex and challenging, requiring significant effort and expertise. Opportunities: As enterprises continue to expand their cloud footprints, the complexity of managing distributed systems will drive further demand for intelligent automation offered by Generative AI. As cloud-based, plug-and-play Generative AI solutions become more accessible and affordable, opportunities are opening up for adoption beyond large enterprises. Enhancing self-service capabilities for users and assisting IT support agents through intelligent chatbots and virtual assistants is a significant area of growth. Threats: The rapid pace of innovation in Generative AI means that solutions can quickly become outdated, requiring continuous investment in R&D and updates. Evolving laws and regulations around AI, data privacy, and ethical use can create compliance challenges and increase the cost of development and deployment. Existing AIOps solution providers are rapidly integrating Generative AI into their offerings, creating a competitive landscape. Request a Customized Copy of the Generative AI in IT Operations Market Report @ Key questions answered in this report: What is the size of the Generative AI in IT Operations market and what is its expected growth rate? What are the primary driving factors that push the Generative AI in IT Operations market forward? What are the Generative AI in IT Operations Industry's top companies? What are the different categories that the Generative AI in IT Operations Market caters to? What will be the fastest-growing segment or region? In the value chain, what role do essential players play? What is the procedure for getting a free copy of the Generative AI in IT Operations market sample report and company profiles? Key Offerings: Market Share, Size & Forecast by Revenue | 2025−2034 Market Dynamics – Growth Drivers, Restraints, Investment Opportunities, and Leading Trends Market Segmentation – A detailed analysis by Types of Services, by End-User Services, and by regions Competitive Landscape – Top Key Vendors and Other Prominent Vendors Buy this Premium Generative AI in IT Operations Research Report | Fast Delivery Available - [220+ Pages] @ Regional Analysis The Generative AI in IT Operations Market is segmented into various regions, including North America, Europe, Asia-Pacific, and LAMEA. Here is a brief overview of each region: North America: In North America, the Generative AI in IT Operations market is in a leading position, with digital maturity, cloud infrastructure, and early AI adoption being the main drivers. Being no different from other industries like finance, healthcare, and tech, enterprises are also implementing generative AI to automate IT operations, reduce costs, and increase service availability. The U.S. stands apart in North America when it comes to the Generative AI in IT Operations market, attributable to the advanced IT ecosystem at the enterprise level and the highly competitive tech landscape existing within the country. American enterprises have a high rate of generative AI adoption to assist with cloud migration, large infrastructure management, and digital transformation. Europe: Europe's generative AI market for IT operations is steadily growing, with demands for intelligent automation, digital infrastructure upgrades, and data privacy compliance supporting it along the way. Germany, the UK, and France are at the forefront in AI adoption across industries like manufacturing, telecom, and banking. The enterprises in Europe are leveraging generative AI to improve IT efficiency while also meeting GDPR and other regulatory standards. However, the market is weighed down by institutional funding for AI research and increasing investments in digital transformation, as the region is a bit conservative in adopting any new technology. The pursuit of sustainability objectives further motivates companies to invest in IT operations tools. Asia-Pacific: The Asia-Pacific Generative AI in IT operations market is expanding at a significant rate being driven by the digitalization of enterprises, adoption of cloud, and an increasing IT services industry. Countries such as China, India, Japan, and South Korea have started embracing AI-powered IT management tools to address large infrastructure needs and 24×7 service demands. Different market dynamics and increasing momentum towards operational efficiency in the Asia-Pacific region are pushing organizations to implement generative AI in IT operations. Startups as well as big global tech companies are building the ecosystem. With growing technology investments and an end-user base of millions, Asia-Pacific is expected to grow forcefully. LAMEA: In the LAMEA region, the generative AI market in IT operations is still in its infancy stage but holds promising prospects for growth due to digital transformation and IT modernization activities. In Latin America, countries such as Brazil and Mexico are investing in AI to enhance service delivery and operational reliability. On the other hand, the Middle East is speeding towards smart infrastructure and cloud technologies, which has, in turn, driven demand for AI-assisted IT management. Despite its sluggish pace, Africa is making progress, particularly in the finance and telecom sectors. While challenges do persist due to infrastructure and skill limitations, vendors are beginning to leverage the opportunities emerging from regional awareness and, hence, strategic partnerships. Request a Customized Copy of the Generative AI in IT Operations Market Report @ (We customized your report to meet your specific research requirements. Inquire with our sales team about customizing your report.) Still, Looking for More Information? Do OR Want Data for Inclusion in magazines, case studies, research papers, or Media? Email Directly Here with Detail Information: support@ Browse the full 'Generative AI in IT Operations Market Size, Trends and Insights By Component (Software, Services), By Deployment Mode (Cloud-Based, On-Premises, Hybrid), By Enterprise Size (Small and Medium Enterprises (SMEs), Large Enterprises), By Application (Anomaly Detection & Incident Management, Root Cause Analysis (RCA), Capacity Planning, Change Risk Analysis, Intelligent Alerting, Predictive Analytics & Forecasting, Automation of IT Tasks, Log Analysis & Monitoring, Security & Compliance Automation), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034' Report at List of the prominent players in the Generative AI in IT Operations Market: Amazon Web Services (AWS) AppDynamics BMC Software Broadcom Dynatrace Freshworks Google Cloud (Alphabet) IBM Micro Focus Microsoft Moogsoft Oracle PagerDuty ServiceNow Splunk (Cisco) Others Click Here to Access a Free Sample Report of the Global Generative AI in IT Operations Market @ Spectacular Deals Comprehensive coverage Maximum number of market tables and figures The subscription-based option is offered. 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What Developments Are Going On in That Technology? Which Trends Are Causing These Developments? Who Are the Global Key Players in This Generative AI in IT Operations Market? What are Their Company Profile, Product Information, and Contact Information? What Was the Global Market Status of the Generative AI in IT Operations Market? What Was the Capacity, Production Value, Cost and PROFIT of the Generative AI in IT Operations Market? What Is the Current Market Status of the Generative AI in IT Operations Industry? What's Market Competition in This Industry, Both Company and Country Wise? What's Market Analysis of Generative AI in IT Operations Market by Considering Applications and Types? What Are Projections of the Global Generative AI in IT Operations Industry Considering Capacity, Production and Production Value? What Will Be the Estimation of Cost and Profit? What Will Be Market Share, Supply and Consumption? What about imports and exports? What Is Generative AI in IT Operations Market Chain Analysis by Upstream Raw Materials and Downstream Industry? What Is the Economic Impact On Generative AI in IT Operations Industry? What are Global Macroeconomic Environment Analysis Results? What Are Global Macroeconomic Environment Development Trends? What Are Market Dynamics of Generative AI in IT Operations Market? What Are Challenges and Opportunities? What Should Be Entry Strategies, Countermeasures to Economic Impact, and Marketing Channels for Generative AI in IT Operations Industry? Click Here to Access a Free Sample Report of the Global Generative AI in IT Operations Market @ Reasons to Purchase Generative AI in IT Operations Market Report Generative AI in IT Operations Market Report provides qualitative and quantitative analysis of the market based on segmentation involving economic and non-economic factors. Generative AI in IT Operations Market report outlines market value (USD) data for each segment and sub-segment. 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'Browse Securely Now': Microsoft Stock (NASDAQ:MSFT) Gains as it Calls Users to Pass Up Chrome
'Browse Securely Now': Microsoft Stock (NASDAQ:MSFT) Gains as it Calls Users to Pass Up Chrome

Business Insider

time43 minutes ago

  • Business Insider

'Browse Securely Now': Microsoft Stock (NASDAQ:MSFT) Gains as it Calls Users to Pass Up Chrome

There may be trouble ahead for tech giant Microsoft (MSFT), as it has recently made a lot of advances in security, though not in ways that users are exactly pleased with. While the ongoing push to force users out of Windows 10 and into Windows 11 is still drawing a lot of user complaint, another new measure is also drawing ire. Microsoft wants users to pass up Google's (GOOGL) Chrome browser in exchange for Microsoft's own Edge. This was good enough for investors, who gave Microsoft a modest boost in share prices in Tuesday afternoon's trading. Elevate Your Investing Strategy: Take advantage of TipRanks Premium at 50% off! Unlock powerful investing tools, advanced data, and expert analyst insights to help you invest with confidence. Windows users who install Chrome are being met with some unexpected messaging from Microsoft: 'Browse securely now. Microsoft Edge runs on the same technology as Chrome, with the added trust of Microsoft.' Given that Chrome users outnumber Edge users by somewhere in the neighborhood of six to one, reports note, this reads less like an actual security issue and more like a marketing ploy. Taskbar flags in the pre-release version of Canary, reports note, will '…pin Edge when you close the browser.' Moreover, the flags specifically mention Chrome by name, and include a flag that triggers when exiting the browser. A second flag is perhaps more disturbing still, calling on users to pin Edge to the taskbar '…when Chrome's usage is greater than 90%.' With a class action lawsuit already firing up to take Windows to task over removing security support for Windows 10, this is not what anyone would call 'good optics' for Microsoft right now. At Least the Game Gets Support While Windows support for laptops and desktops may be failing, a new report notes that Forza Motorsport and Forza Horizon 5 will not go wanting for support. In fact, Microsoft recently announced that Turn 10 and Playground Games will continue supporting both Forza titles. The issue was somewhat shrouded in mystery, with some wondering how support could possibly continue as around half of Turn 10 had been laid off last month. But with these remarks, Microsoft seems ready to carry on that support, somehow. And with a range of new games coming out in short order for the 25 th anniversary of Xbox, this should be welcome news for gamers. Is Microsoft a Buy, Hold or Sell? Turning to Wall Street, analysts have a Strong Buy consensus rating on MSFT stock based on 34 Buys and one Hold assigned in the past three months, as indicated by the graphic below. After a 26.03% rally in its share price over the past year, the average MSFT price target of $623.34 per share implies 18% upside potential.

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