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AMD validates the importance of world models for physical AI with the acquisition of World Labs

Dan Everett — Thu, 01 Oct 2026 04:00:00 GMT

AMD's $8.2B all-stock acquisition of World Labs, about 64% above the $5B valuation reported for the company's February funding round, is a bet that physical AI is the next growth cycle and that spatial intelligence and world models are what make it work. Physical AI systems have to predict how physical objects move and what their actions will cause, and AMD is paying a premium to get a leading world model company and research team to address this need.

Acumatica 2026 R2: Intelligence for the Mid-market with Embedded AI

Mickey North Rizza — Thu, 01 Oct 2026 04:00:00 GMT

Acumatica released R2 2026 today. The new GA product release brings Acumatica to the AI levels of many of their peers. While these AI updates may appear late, Acumatica clients find this new AI journey well timed, as told to IDC earlier this year. Many organizations, while trying AI, are leery of it and would prefer to walk before they run. With this next release, Acumatica is enabling their clients to do more at their own pace and with greater confidence.

The R2 2026 updates bring mid-market businesses embedded AI, modern analytics, a streamlined user experience and industry specific enhancements that are designed to help organizations improve productivity, make faster decisions, and scale more efficiently. The R2 2026 release brings forward new capabilities:

AI Assistant and AI Automation: Mid-size businesses will find a huge uplift with quicker and faster business answers, anomaly detection, the automation of repetitive tasks, and trigger prompt-driven workflows within Acumatica.

Modern user interface: As organizations move to R2 they will automatically transition to Acumatica’s modern user interface which provides a more consistent and intuitive experience across the Acumatica platform.

Modern Analytics for Faster Decision-Making: Acumatica R2 2026 lays the foundation for a unified, always-current view of the business with a high-performance governed data source that surfaces everywhere teams need it — in dashboards, financial statements, and now in the AI tools they already use. There are two advances anchoring this shift:

Native Data Warehouse: Reporting and analytics now run against a dedicated, performance-optimized copy of ERP data instead of the live transactional database, so reports don’t compete for system resources with day-to-day order entry, invoicing, and approvals. This foundational layer of centralized ERP data and performance optimization will be enhanced in future updates.

Model Context Protocol (MCP) Connection: Organizations can securely connect Claude, ChatGPT, Gemini, and other MCP-compatible AI tools directly to their Acumatica data without exporting, uploading, or duplicating information in a separate AI workspace. Role-based permissions, inherited security, and field level data masking automatically carry over, allowing teams to use the AI tools they already rely on while IT retains centralized governance and auditability for every query. Together with existing capabilities such as InsightXL, which connects live Acumatica data directly to Excel, these advances extend Acumatica's analytics so the same governed data reaches finance and operations teams through whichever surface the moment calls for — a dashboard, spreadsheet, AI assistant, or AI tool of their choice.

IDC's Worldwide Event-Driven Automation and Analytics Survey, 2026

Carlos Gonzalez — Thu, 01 Oct 2026 04:00:00 GMT

This IDC Survey reports results from the July 2026 IDC Event-Driven Automation and Analytics Survey, conducted with 635 IT and data decision-makers from organizations worldwide. These organizations have at least 500 employees and generate $500 million or more in annual revenue across 16 countries. The survey assesses how extensively enterprises implement real-time data infrastructure across five software areas—real-time data movement, stream processing and analytics, event stream processing, event brokering software, and IoT platforms—and examines whether this deployment aligns with the operational needs of agentic AI.

The data shows that 16.2% of organizations have extended real-time data movement to all workflows that require it. The main challenge is trust, not speed: data quality and consistency are the main technical barriers at 30.6%, significantly higher than latency and performance at 16.9%. Outcomes driven by agentic AI closely follow data maturity, with the percentage running multiple agentic applications in production rising from 8.0% among those with limited real-time data integration to 53.4% among those with comprehensive coverage. Investment plans are not keeping pace: 43.8% intend to increase AI and agentic AI spending by 25% or more, compared to 31.7% for data governance and observability, while only 6.6% plan a 50% or greater increase in governance.

"Agentic AI has turned real-time data from an efficiency project into a gating condition," says Carlos M. González, research manager, Event-Driven Automation and Analytics at IDC. "The model layer is largely commoditized. What separates an organization running one pilot from one running several agents in production is whether the data estate beneath them can supply current, governed state on demand."

Infobip Vendor Profile: AgentOS Connects Communications Scale with AI Interaction Orchestration

Denise Lund, Masarra Mohamed — Thu, 01 Oct 2026 04:00:00 GMT

This IDC Vendor Profile examines Infobip's transition toward a broader AI interaction orchestration proposition, with AgentOS as the central focus. Current deployments remain concentrated in customer engagement and service workflows, but Infobip's longer-term ambition extends to orchestration across customer-facing and internal interactions. This document assesses the company's operating foundation, product capabilities and maturity, commercial model, implementation ecosystem, and outlook.

NATO's Quantum Technology Roadmap: Strategic Competition Does Not Wait for Technological Certainty

Heather West, PhD — Thu, 01 Oct 2026 04:00:00 GMT

NATO's Quantum Technology Roadmap moves quantum beyond research priorities by establishing a structured path for evaluating, testing, securing, and integrating quantum capabilities across the Alliance. IDC expects this approach to accelerate demand not only for quantum technologies, but also for the broader infrastructure and integration capabilities needed to translate quantum advances into operational value.

Navigating the Agentic Shift: AI Strategies for Wealth Management

Dr. Chris Marshall, Michael Sek Pheng Yeo — Thu, 01 Oct 2026 04:00:00 GMT

This IDC Perspective examines the agentic AI moving from pilot to production in wealth management in 2026, productivity and ROI evidence supporting it, and governance practices technology buyers need to scale autonomy safely.

"The wealth managers winning with agentic AI are not the ones moving fastest; they are the ones who built the strongest foundations in platforms and governance before building the autonomy functions as well as those who are constantly evolving their budgets and decision-making based on the rapid cadence of development in the industry," says Michael Yeo, associate research director, IDC Financial Insights.

AI-ification of Retail Media

Ananda Chakravarty — Wed, 30 Sep 2026 04:00:00 GMT

This IDC Perspective provides a viewpoint of how AI is changing the game with respect to mapping current attribution metrics in retail media. The report also reviews how AI addresses audience targeting as well as attribution through a set of techniques being pioneered by firms such as Amazon, Walmart, and other retail media networks (RMNs). The report also highlights marketing mix modeling and how this may move the market toward a more holistic view of retail media. Finally, the report identifies the flaws of return on ad spend (ROAS) attribution and how AI may overcome these flaws through new attribution methods.

"When your retail media metrics say 10x returns, but you're barely breaking even, it's time to revisit attribution. AI is changing the retail media game. New AI models are being rolled out by the most sophisticated RMNs to drive precise attribution. It's time for a reset," said Ananda Chakravarty, research vice president, IDC Retail Insights.

ASI and SoftBank Group Form Joint Venture to Scale Autonomous Construction Equipment

Sarah Lee — Wed, 30 Sep 2026 04:00:00 GMT

On September 24, 2026, ASI announced a joint venture with SoftBank Group focused on the development and commercialization of autonomous construction equipment for large infrastructure projects, alongside a $225 million direct investment in ASI. The company says the joint venture will provide additional capital to scale autonomous solutions across civil construction and material-handling use cases, building on what it describes as more than 25 years of Mobius fleet management and automation experience. The deal reflects two forces IDC has been tracking across heavy industrial equipment: increasing value in the software layer that orchestrates mixed-brand fleets and persistent workforce pressures increasing interest in technologies that can extend workforce capacity. The more interesting open question is how the market will evolve: toward a contest between OEM-native and OEM-agnostic autonomy or toward a layered stack in which both approaches coexist. ASI's existing commercial relationships with major equipment manufacturers suggest the latter remains a distinct possibility.

Beyond the Chatbot: How HubSpot's Context Bet Sets Up CRM's Next Act

Roger Beharry Lall — Wed, 30 Sep 2026 04:00:00 GMT

HubSpot used UNBOUND 2026 in Boston (September 16–18) to retire the 15-year-old INBOUND name and rebuild its CRM positioning around a Growth Context Graph, a rebuilt Breeze Assistant, and a model-agnostic agent harness called Aviator. HubSpot also became OpenAI's first named CRM partner for ChatGPT Ads and its Sponsored Agents test. With a strong focus on outcomes and a big bet on context, HubSpot is well positioned for the midmarket. What remains to be seen is whether customers disenchanted by the first Breeze iteration, now armed with plenty of AI-native alternatives, will give it another try.

Cheap Content, Expensive Problems: The Biggest Shift in Digital Experiences Since the Web Itself

Jordan Jewell — Wed, 30 Sep 2026 04:00:00 GMT

This IDC Market Perspective examines the most significant shift in content and digital experience technology in a generation. Generative AI has collapsed the cost of producing content, fragmented how it gets discovered through AI answer engines, and begun commoditizing the software used to manage it. The result is a market on the defensive: Enterprises are flooded with cheap content that fails to differentiate or rank, while keeping the content findable, compliant, and governed has become the real bottleneck. Two old assumptions have broken along the way: that content is an asset to accumulate rather than a liability to manage, and that its audience is human rather than the AI models now summarizing it to buyers. The document traces the market's arc from the DXP land grab to today's AI reset, assesses the segments facing the most change (DXP, CMS, DAM, video), and lays out what buyers and vendors must do to compete.

"Since we entered the AI era, making content got easier but everything else got harder," said Jordan Jewell, senior research director, Persuasive Content and Digital Experiences at IDC. "Increasingly, the reader you need to win over isn't even human; it's a model deciding whether to cite you. The vendors and enterprises that come out ahead won't be the fastest producers; they'll be the ones that can tell whether their content is accurate, accessible, compliant, and discoverable across the entire supply chain. This capability is content intelligence, and it's where defensible value is concentrating."