SoftBank Plans to Develop Homegrown AI Servers
Written by Emily J. Thompson, Senior Investment Analyst
Updated: May 07 2026
0mins
Catch up on the top artificial intelligence news and commentary by Wall Street analysts on publicly traded companies in the space with this daily recap compiled by The Fly.MADE-IN-JAPAN AI SERVERS:SoftBanklooks to develop and produce homegrown AI servers, weighting plans to start designing and assembling components by the end of the decade with the help of major players like Nividaand Foxconn, Nikkei's Natsuki Yamamoto.AI MODEL ACCESS:Googleis in talks with Blackstone, KKR, and EQT to let their portfolio companies access its models, after OpenAI and Anthropic announced joint ventures with private equity firms, The Information's Erin Woo and Julia Hornstein.CLAUDE FOR MICROSOFT 365:Anthropic announced that starting today, Claude for Excel, PowerPoint, and Word are generally available, and Claude for Outlook is now in public beta for all paid plans. "Claude for Outlook brings Claude into your inbox. Ask Claude to triage your inbox and it sorts messages by what needs your response, what it can draft for you, and what's noise. Replies land as drafts in Outlook's compose pane with recipients, subject, and body filled in. Calendar invites check attendee availability and open in Outlook's native event form," the company said. "Claude for Excel, PowerPoint, and Word are now generally available, with the controls IT admins and organizations need. One AppSource listing covers Excel, PowerPoint, and Word, and a separate listing adds Outlook in beta. Admins can deploy both from the Microsoft admin center. Enterprise admins can configure OpenTelemetry to stream prompts, tool calls, and document references to their own collector, so security teams see exactly what Claude does across every app. The Analytics API breaks out activity per user, per app, per day. Organizations can access all four add-ins with a Claude account, or route traffic through an existing LLM gateway to Claude models running on AmazonBedrock, GoogleCloud's Vertex AI, or MicrosoftFoundry."ENTERPRISE AI INFRASTRUCTURE:Rackspaceand AMDannounced the signing of a memorandum of understanding establishing a framework for a multiyear strategic partnership to create an Enterprise AI Cloud purpose-built for regulated enterprises and sovereign workloads. The companies said, "Today's dominant model requires enterprises to rent GPU capacity by the hour and carry the operational burden themselves including integration, security and accountability. This collaboration proposes to invert that model by integrating AMD Instinct GPUs and EPYC CPUs into a fully managed, governed stack. Through this understanding, the companies aim to establish a new category of managed enterprise AI infrastructure where dedicated AMD compute is embedded inside a governed managed operating model, with Rackspace owning the stack from silicon to outcomes. The AMD collaboration is intended to position Rackspace to complete its curated enterprise AI stack and introduce four integrated capabilities. Together, these capabilities are designed to form a complete, integrated stack from bare metal compute and developer-ready inference tooling through a fully operated inference runtime with defined SLAs to a governed Enterprise AI Cloud. The aim is to give enterprises a single operator accountable for every layer, calibrated to the sovereignty, performance, and compliance requirements of each workload."
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Analyst Views on GOOGL
Wall Street analysts forecast GOOGL stock price to fall
33 Analyst Rating
26 Buy
7 Hold
0 Sell
Strong Buy
Current: 380.340
Low
305.00
Averages
374.25
High
400.00
Current: 380.340
Low
305.00
Averages
374.25
High
400.00
About GOOGL
Alphabet Inc. is a holding company. The Company's segments include Google Services, Google Cloud, and Other Bets. The Google Services segment includes products and services such as ads, Android, Chrome, devices, Google Maps, Google Play, Search, and YouTube. The Google Cloud segment includes infrastructure and platform services, collaboration tools, and other services for enterprise customers. Its Other Bets segment is engaged in the sale of healthcare-related services and Internet services. Its Google Cloud provides enterprise-ready cloud services, including Google Cloud Platform and Google Workspace. Google Cloud Platform provides access to solutions such as artificial intelligence (AI) offerings, including its AI infrastructure, Vertex AI platform, and Gemini for Google Cloud; cybersecurity, and data and analytics. Google Workspace includes cloud-based communication and collaboration tools for enterprises, such as Calendar, Gmail, Docs, Drive, and Meet.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
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- Non-Price Evaluation Criteria: The new standards will introduce mandatory non-price award criteria, including requirements for software and hardware to be developed within the EU, which will disadvantage U.S. big tech firms and may lead to a decline in their competitive edge in the European market.
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See More
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- Economic Model Vulnerabilities: AI researcher Gary Marcus highlighted that as AI models become more commoditized, OpenAI and Anthropic may face greater economic pressures, with many companies that invested heavily struggling to recoup their investments, reflecting the current market's fragility.
- Cost Control Pressures: Uber confirmed it burned through its AI budget for 2026 in just four months, indicating severe challenges in corporate AI spending that could slow demand for AI hardware from companies like Nvidia, impacting their growth prospects.
- Intensifying Market Competition: As enterprises shift towards cheaper AI models and systems, OpenAI and Anthropic may lose market share, especially as Microsoft begins canceling Claude Code licenses in favor of in-house solutions, demonstrating resistance to high-cost AI services.
See More
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- Data-Driven Assessment: The study employs publicly available data such as earnings calls, job openings, and patent applications to objectively evaluate executives' understanding and prioritization of AI, aiding companies in better risk management and investment decisions to enhance overall competitiveness.
- Room for Improvement: Despite the strong performance of leading companies, AIDE's CEO Paul Cheek emphasizes that there is significant room for improvement in AI literacy among board members and executives, highlighting the importance of understanding AI's role in creating value for informed strategic investments in the future.
See More
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- AI Disruption: The emergence of ChatGPT has left many startups, particularly enterprise software firms like Calendly, at risk of being outpaced by AI-native companies, forcing investors to reassess their valuations and business models that are no longer relevant.
- Deteriorating Funding Environment: Many companies that last raised funds in 2021 and 2022 are struggling to secure new financing, with PitchBook analysts noting that those unable to raise funds typically exhibit tepid or negative growth, increasing the likelihood of acquisitions at reduced valuations.
- Market Reset Signals: Startups like Stash and Step have been acquired, but at prices significantly below their historical funding amounts, reflecting a drastic compression in market valuations and prompting investors to reevaluate the worth and future potential of these companies.
See More
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- Transparent Research Methodology: The index utilizes publicly available data such as earnings call transcripts, job openings, and patent applications, providing an objective comparison tool that allows companies to assess their AI strategies against peers, thereby facilitating more effective decision-making.
- Significant Industry Disparities: While tech companies excel, the study highlights that many firms have considerable room for improvement in AI literacy and implementation, underscoring the necessity for boards and executives to better understand and manage AI-related risks and strategic investments.
- Top 20 Companies: The top 20 companies based on orientation and implementation scores include Nvidia, Schlumberger, Amazon, and Meta, showcasing their leadership positions within their respective sectors, which may attract increased investor interest in their future growth potential.
See More
