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IBM Study: Limited Control and Rising Dependencies Leave Enterprises Exposed in the Age of AI

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68% of surveyed executives say meeting data residency and sovereignty requirements across geographies is challenging
Nearly all (91%) respondents report not fully understanding their AI dependencies across vendors, models, and infrastructure
Organizations with the most advanced AI control capabilities protect more than half of their operating profit from AI-driven disruptions

ARMONK, N.Y., June 17, 2026 /PRNewswire/ — A new global study by the IBM (NYSE: IBM) Institute for Business Value finds that as enterprises embed AI deeper into core business operations, most surveyed organizations remain locked into AI systems they cannot easily change, reinforcing the growing importance of AI sovereignty to maintain business continuity and performance.

Based on insights from 1,000 senior executives, The Calculus of AI Sovereignty study* reveals that 71% of respondents say switching their primary AI vendor or model would be difficult, highlighting significant operational constraints. Additionally, 68% of surveyed executives say meeting data residency and sovereignty requirements across geographies is challenging, creating complexity in moving AI systems or data across environments. These dynamics point to growing pressure on organizations to strengthen control and oversight as AI adoption and compliance requirements expand.

While the need for control is intensifying, most organizations still lack the visibility required to act on it: 91% of those surveyed say they don’t fully understand their organization’s dependencies across AI vendors, models and infrastructure, limiting the ability to assess risk and plan for disruption. Surveyed leaders report an average of six AI-related disruptions over the past two years, largely driven by vendor services, yet 81% say a seven-day vendor outage would still cause severe or critical disruption, effectively halting operations.

Respondents also cite unexpected changes across the AI ecosystem, including price increases, usage restrictions, model deprecations, and performance degradation. These findings underscore the challenges enterprises face in managing AI dependencies.

Ana Paula Assis, IBM Senior Vice President and Chair, EMEA and APAC, said in the study foreword: “AI has introduced new forms of dependency that evolve faster than traditional governance, procurement, or technology cycles were designed to handle. That is why AI sovereignty has become one of the most defining leadership issues of this moment. The stakes are no longer technical; they are economic. Any loss of control can translate directly into margin pressure, compliance exposure, or outright business disruption.”

According to the study, organizations that design AI systems to adapt data, models and infrastructure as conditions change – a core element of AI sovereignty – are outperforming peers:

Analysis shows that organizations with the most advanced AI control capabilities see less AI downtime and protect 55% more operating profit from AI-driven disruptions.
Yet, only a minority of the organizations surveyed (7%) operate at this level, signaling a widening gap between those building adaptable AI systems and those constrained by dependency.
72% of surveyed executives say they would accept a 20% cost increase to maintain AI vendors if it improved strategic flexibility.

Most surveyed organizations (73%) describe their AI environments as intentionally multi-‑vendor, yet vendor diversity in practice appears to be driven less by deliberate strategy and more by internal and operational realities1:

Independent business unit decisions (69%) and geographic necessity (69%) emerge as the leading drivers.
Legacy complexity is also widely cited by respondents (57%), reflecting mergers, acquisitions, and historical decisions—common across organizations but less often the primary driver.

The study also provides a roadmap for senior executives on how to build flexible, resilient, and sovereign AI systems. To view the full study, visit: https://ibm.biz/ai-sovereignty.

1 Unpublished data from the IBM Institute for Business Value The Calculus of AI Sovereignty Study (2026).

*Study Methodology
The IBM Institute for Business Value, in collaboration with Oxford Economics, conducted a global survey between February and April 2026 to examine how organizations structure control across the AI stack and how these choices relate to resilience, performance and operating economics. The study is based on responses from 1,000 senior executives responsible for AI, data, technology, or related enterprise capabilities across 16 countries and 17 industries. Additional analysis identified distinct AI control profiles by segmenting organizations based on how they structure control across data, models, infrastructure and applications, and assessing the relationship to resilience, performance and operating economics.

The IBM Institute for Business Value, IBM’s thought leadership think tank, combines
global research and performance data with expertise from industry thinkers and leading academics to deliver insights that make business leaders smarter. For more world-class thought leadership, visit: www.ibm.com/ibv. To receive more insights, subscribe to the IdeaWatch newsletter: https://ibm.co/ibv-ideawatch

About IBM
IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Thousands of government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM’s long-standing commitment to trust, transparency, responsibility, inclusivity, and service.  Visit www.ibm.com for more information.

Media Contact
Marisa Conway
IBM Corporate Communications
conwaym@us.ibm.com

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SOURCE IBM

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Techman Robot Targets Southeast Asian Smart Manufacturing Markets at Thailand Automation Show

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AI-guided smart cartoning & packing lines and the all-new lightweight TM3S cobot make their overseas debut.

BANGKOK, June 17, 2026 /PRNewswire/ — Techman Robot, a global leader in collaborative robots and AI vision technology, will showcase its latest innovations at the “ME Assembly & Automation 2026”. Centered around the dual themes of “Smart Packaging Automation” and “High-Efficiency AI Inspection,” the company is introducing tailored solutions for the electronics manufacturing, automotive components, food & beverage, and consumer electronics sectors

AI Vision-Guided Smart Cartoning and Packing Line

To address the critical automation demands within e-commerce and retail product packaging, Techman Robot is highlighting its “Automated Cartoning and Packing Line”. This solution overcomes the traditional limitations of mechanical grippers in complex packaging environments by integrating Techman collaborative robot, advanced AI vision guidance systems, and dexterous gripping technologies.

Demonstrating a seamless synergy of “brain, eye, and hand,” the system automates cardboard fetching, precise positioning, box folding, cartoning, and transport. Featuring a modular design and rapid deployment capabilities, this solution significantly reduces line footprint, shortens implementation timelines, and enhances packaging efficiency and operational stability—making it ideal for high-mix, low-volume agile production.

The All-New Lightweight TM3S Cobot

Techman Robot is also debuting its latest flagship model, the brand-new “TM3S” collaborative robot. Engineered for on-site operations requiring frequent relocation and high flexibility, the TM3S boasts an ultra-lightweight design, weighing in at just 12 kilograms.

A key feature of the TM3S is its “Quick-release Connector” for cabling, which enables production engineers to install, disassemble, and relocate the unit within an exceptionally short timeframe, vastly improving operational mobility on the shop floor. Furthermore, the TM3S carries forward the signature feature of the Techman Robot family: the “Integrated Vision” system. This provides the robot with advanced spatial awareness and positioning capabilities, making it particularly suited for high-precision welding, assembly, workstation localization, and automated rapid inspection.

AI Flying Trigger Inspection & Instant Palletizer Solutions

Beyond its packaging and lightweight innovations, Techman Robot is demonstrating its “Flying Trigger AI Inspection” and “Instant Palletizer” systems.

Flying Trigger AI Inspection: Allows robots to perform real-time defect inspection and cosmetic recognition while in motion without pausing, driving significant leaps in both throughput and quality control.Instant Palletizer: Offers a streamlined setup and intuitive operation to help Southeast Asian food & beverage and 3C retail clients rapidly upgrade their end-of-line logistics and stacking efficiency, directly addressing regional labor shortages.  

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/techman-robot-targets-southeast-asian-smart-manufacturing-markets-at-thailand-automation-show-302802759.html

SOURCE Techman Robot

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IR launches Iris for HPE Nonstop, bringing AI-powered observability insights to mission-critical infrastructure

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SYDNEY, June 17, 2026 /PRNewswire/ — Integrated Research (ASX: IRI, “IR”), a leading global provider of observability solutions for mission‑critical payments, infrastructure and communications, today announced the launch of Iris for Nonstop, extending its conversational AI intelligence layer to HPE Nonstop environments.

Building on the success of Iris in multi‑vendor unified communications and collaboration (UC&C) observability, IR has embedded Iris directly into the Prognosis Platform for HPE Nonstop. This allows IT teams, business application stakeholders and more to ask questions in natural language and receive immediate, context‑rich answers about the health, performance and capacity of their Nonstop systems.

“Nonstop powers some of the world’s most critical transactions, but the data that keeps these environments running has traditionally been locked up in specialist tools and expertise,” said Ian Lowe, CEO at IR.

“With Iris for Nonstop, we’re providing AI powered intelligence direct to the IT function. Iris understands Nonstop, understands context unique to each clients environment, and can turn complex telemetry into actionable insight in seconds.”

AI‑powered observability for always‑on Nonstop environments

HPE Nonstop is a trusted platform for high‑volume, always‑on workloads in financial services, retail, telecommunications and other industries where downtime is not an option. IR’s Infrastructure suite, powered by Prognosis, has long helped clients monitor, troubleshoot and optimize the performance and availability of these environments with real‑time dashboards, alerting and automated reporting.

Iris for Nonstop builds on this foundation by adding a conversational AI layer that:

Answers complex questions in plain language – Operators can ask questions such as “Is CPU usage normal for this time period?” or “Can you show me the network traffic trends over the past 2 weeks?”, and Iris will respond with explanations, context and recommended next steps.Accelerates incident resolution – By synthesizing Prognosis’ real‑time telemetry into guided insights, Iris helps teams identify root causes faster, reducing mean time to resolution in high‑stakes Nonstop environments.Democratizes Nonstop expertise – Iris makes Nonstop performance and capacity data accessible to broader IT, business and executive stakeholders, with easy‑to‑consume natural‑language summaries and reports.Supports proactive capacity and batch planning – By leveraging Prognosis Infrastructure, Business Insight and Batch Manager capabilities, Iris can surface trends in capacity, usage patterns and batch workloads, helping teams plan ahead before issues impact production.

Unified intelligence layer for hybrid Nonstop, from core to edge

As Nonstop clients adopt virtual Nonstop, cloud deployments and hybrid infrastructures spanning core and edge, the complexity of managing performance and capacity continues to grow. The combination of Prognosis Server on Nonstop, Prognosis Edge, and now Iris for Nonstop gives organizations a unified intelligence layer over their distributed, mission‑critical environments.

“Our clients are running Nonstop everywhere – in data centers, in virtualized environments and at the edge,” said Ian Lowe. “By embedding Iris directly into our Infrastructure solutions, we’re giving our clients an AI assistant that understands their topology, their workloads and their SLAs, wherever Nonstop is deployed.”

Iris for Nonstop is available now with Prognosis 13.3, for clients using IR Infrastructure and the Prognosis Platform for HPE Nonstop. For more information, visit the website.

About IR
At IR, we power elite business performance. Trusted by the world’s largest organizations for more than 30 years, our market-leading observability solutions are powered by Prognosis – the real-time intelligence platform built for multi-vendor infrastructure, UC&CX and payments environments. To find out more, visit www.ir.com.

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Hon Hai Technology Group (Foxconn) Accelerates Global Leadership In AI Factories, Infrastructure At Europe’s VivaTech

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TAIPEI and PARIS, June 17, 2026 /PRNewswire/ — Hon Hai Technology Group (Foxconn) (TWSE:2317), the world’s largest artificial intelligence server provider, accelerated its global leadership in AI factories and sovereign AI infrastructure by showcasing at VivaTech its end-to-end integration capabilities that also stand up the world’s most state-of-the-art, rack-scale AI supercomputer.

Considered Foxconn’s European debut and a nod to Europe’s biggest startup and tech event, the world’s largest electronics manufacturer brought the cutting-edge technology including NVIDIA Vera Rubin NVL72, NVIDIA HGX platforms and NVIDIA MGX architectures, as well as two of its electric vehicles and advances in humanoid robotics.

“Foxconn is connecting with transformation opportunities and diversified business models across European industries. By fostering technology collaboration with industry, start-ups, government and academia, we strengthen our Build-Operate-Localize presence in Europe,” said Foxconn Vice President and Spokesperson James Wu, referring to the Group’s innovative BOL business model that supports local communities.

Underscoring the market’s importance, Foxconn, with partners Bull of France, a leader in advanced computing and AI, and NVIDIA also announced a strategic milestone to build the NVIDIA Vera Rubin NVL72 platform from Europe that will commercialize under the Bull brand.

At Foxconn Booth 2B41, the NVIDIA Vera Rubin NVL72 represents the next frontier of Agentic AI. On display, as well, were NVIDIA HGX Rubin NVL8 and NVIDIA MGX 4U system, affirming the Group’s manufacturing strengths in high-density AI racks, compute trays, liquid cooling, power delivery, and system integration. Moreover, with its dedicated business unit for AI supercomputing & cloud operations, Visionbay.ai – which is an NVIDIA Cloud Partner (NCP) – the Group showed end-to-end solutions that cover the full stack AI factory operations to technical services and application ecosystems.

For the first time in Europe, the public can see and sit in two modern EVs offered by Foxconn unit FOXTRON Vehicle Technologies under a Contract Design and Manufacturing Service, or CDMS, business model. A MODEL B sporty crossover – being sold in Taiwan under the BRIA brand – and a MODEL D lifestyle multipurpose utility vehicle represent the Group’s capabilities in EV platforms, complete vehicle design, smart cockpits and advanced electronic/electrical (E/E) architectures.

Meanwhile, a wheeled humanoid demonstrates dual-arm collaboration for precision assembly tasks. The embodied intelligence is derived from actual factory scenarios, combining simulation-based training with on-site iteration to enable rapid deployment and scalable rollout across manufacturing facilities.

About VivaTech here.

About Foxconn here.

SOURCE Hon Hai Technology Group (Foxconn)

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