E-commerce and trade

OpenAI accelerates enterprise AI growth after Gartner names it an emerging leader

The US tech firm, OpenAI, gained fresh momentum after being named an Emerging Leader in Generative AI by Gartner. The assessment highlights strong industry confidence in OpenAI’s ability to support companies that want reliable and scalable AI systems.

Enterprise clients have increasingly adopted the company’s tools after significant investment in privacy controls, data governance frameworks and evaluation methods that help organisations deploy AI safely.

More than one million companies now use OpenAI’s technology, driven by workers who request ChatGPT as part of their daily tasks.

Over eight hundred million weekly users arrive already familiar with the tool, which shortens pilot phases and improves returns, rather than slowing transformation with lengthy onboarding. ChatGPT Enterprise has experienced sharp expansion, recording ninefold growth in seats over the past year.

OpenAI views generative AI as a new layer of enterprise infrastructure rather than a peripheral experiment. The next generation of systems is expected to be more collaborative and closely integrated with corporate operations, supporting new ways of working across multiple sectors.

The company aims to help organisations convert AI strategies into measurable results, rather than abstract ambitions.

Executives described the recognition as encouraging, although they stressed that broader progress still lies ahead. OpenAI plans to continue strengthening its enterprise platform, enabling businesses to integrate AI responsibly and at scale.

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SAP unveils new models and tools shaping enterprise AI

The German multinational software company, SAP, used its TechEd event in Berlin to reveal a significant expansion of its Business AI portfolio, signalling a decisive shift toward an AI-native future across its suite.

The company expects to deliver 400 AI use cases by the end of 2025, building on more than 300 already in place.

It also argues that its early use cases already generate substantial returns, offering meaningful value for firms seeking operational gains instead of incremental upgrades.

A firm that places AI-native architecture at the centre of its strategy. SAP HANA Cloud now supports richer model grounding through multi-model engines, long-term agentic memory, and automated knowledge graph creation.

SAP aims to integrate these tools with SAP Business Data Cloud and Snowflake through zero-copy data sharing next year.

The introduction of SAP-RPT-1, a new relational foundation model designed for structured enterprise data rather than general language tasks, is presented as a significant step toward improving prediction accuracy across finance, supply chains, and customer analytics.

SAP also seeks to empower developers through a mix of low-code and pro-code tools, allowing companies to design and orchestrate their own Joule Agents.

Agent governance is strengthened through the LeanIX agent hub. At the same time, new interoperability efforts based on the agent-to-agent protocol are expected to enable SAP systems to work more smoothly with models and agents from major partners, including AWS, Google, Microsoft, and ServiceNow.

Improvements in ABAP development, including the introduction of SAP-ABAP-1 and a new Visual Studio Code extension, aim to support developers who prefer modern, AI-enabled workflows over older, siloed environments.

Physical AI also takes a prominent role. SAP demonstrated how Joule Agents already operate inside autonomous robots for tasks linked to logistics, field services, and asset performance.

Plans extend from embodied AI to quantum-ready business algorithms designed to enhance complex decision-making without forcing companies to re-platform.

SAP frames the overall strategy as a means to support Europe’s digital sovereignty, which is strengthened through expanded infrastructure in Germany and cooperation with Deutsche Telekom under the Industrial AI Cloud project.

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Hyundai launches record investment to boost South Korea’s tech future

Hyundai Motor Group has unveiled a record 85.8 billion dollar investment plan that will reshape South Korea’s industrial landscape over the next five years.

The company intends to channel a large share of the funds into fields such as AI, robotics, electrification, software-defined vehicles, and hydrogen technologies.

Hyundai presents the roadmap as evidence of an agile response to a global environment in which export strength and technological leadership matter more than ever.

A major part of the strategy centres on turning innovation into export gains. The group expects the investment to raise overseas shipments of South Korea-made vehicles by more than thirteen percent by 2030.

A plan that emerges shortly after Seoul concluded a new trade agreement with Washington that lowers tariffs on South Korean vehicles to fifteen percent instead of the previous twenty-five percent. The rate remains much higher than the earlier 2.5 percent applied before the renegotiation.

Hyundai’s announcement mirrors a wider industrial push across the country. Samsung Group recently committed 310 billion dollars for a similar period, largely focused on AI development.

Both companies aim to reinforce the nation’s position in advanced technologies and secure long-term competitiveness at a time when global supply chains and industrial alliances are rapidly shifting.

Hyundai, together with Kia, sold more than 7.2 million vehicles globally last year.

The company views its new investment programme as a foundation for future export growth and a signal that South Korea plans to anchor its economic future in next-generation technologies instead of relying on past models of industrial expansion.

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IBM advances quantum computing understanding with new project

IBM has introduced two new quantum processors, named ‘Nighthawk’ and ‘Loon’, aimed at major leaps in quantum computing. The Nighthawk chip features 120 qubits and 218 tunable couplers, enabling circuits with approximately 30% greater complexity than previous models.

The Loon processor is designed as a testbed for fault-tolerant quantum computing, implementing key hardware components, including six-way qubit connectivity and long-range couplers. These advances mark a strategic shift by IBM to scale quantum systems beyond experimental prototypes.

IBM has also upgraded its fabrication process by shifting to 300 mm wafers at its Albany NanoTech facility, which has doubled development speed and boosted physical chip complexity tenfold.

Looking ahead, IBM projects the initial delivery of Nighthawk by the end of 2025 and aims to achieve verified quantum advantage by the end of 2026, with fully fault-tolerant quantum systems targeted by 2029.

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EU moves to reinforce cooperation against VAT fraud

The European Commission has presented a plan to strengthen cooperation among the European Public Prosecutor’s Office, the European Anti-Fraud Office, and member states as part of a broader effort to combat VAT fraud.

The proposal establishes a legal framework for the sharing of information. It grants the EU bodies immediate access to VAT data, which is expected to enhance the detection of cross-border tax evasion schemes.

Real-time reporting of cross-border trade, delivered through the VAT in the Digital Age package, provides national authorities with the information needed to identify suspicious activity, rather than relying on delayed or incomplete records.

Carousel fraud alone costs EU taxpayers billions each year and remains a significant element of the broader VAT compliance gap, which stood at over €89 billion in 2022.

The Commission argues that faster access to VAT information will help investigators uncover fraudulent networks, halt their activities and pursue prosecutions more effectively.

EPPO, OLAF and the Eurofisc network would gain direct communication channels, enabling closer coordination and rapid intelligence sharing throughout the Union.

A proposal that will now move to the Council for agreement and to the European Parliament and the Economic and Social Committee for consultation.

Once adopted and published, the changes will take effect and initiate the implementation phase across the EU.

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AI tools help eBay stage a comeback

eBay is deepening its investment in AI as part of a multi-year effort to revive the platform after years of stagnant growth.

The company, which saw renewed momentum during the pandemic, has launched five new AI features this year, including AI-generated shipping estimates, an AI shopping agent and a partnership with OpenAI.

Chief executive Jamie Iannone argues that eBay’s long history gives it an advantage in the AI era, citing decades of product listings, buyer behaviour data and more than two billion active listings. That data underpins tools such as the ‘magical listing’ feature, which automatically produces item descriptions from photos, and an AI assistant that answers buyer questions based on a listing’s details.

These tools are also aimed at unlocking supply: eBay says the average US household holds thousands of dollars’ worth of unused goods.

Analysts note that helping casual sellers overcome the friction of listing and photographing items could lift the company’s gross merchandise volume, which grew 10 percent in the most recent quarter.

AI is also reshaping the buyer experience. Around 70 percent of eBay transactions come from enthusiasts who already know how to navigate the platform. The new ‘eBay.ai’ tool is designed to help less experienced users by recommending products based on natural-language descriptions.

Despite this push, the platform still faces intense competition from Amazon, Google, Shein and emerging AI-shopping agents. Iannone has hinted that eBay may integrate with external systems such as OpenAI’s instant-checkout tools to broaden discovery beyond the platform.

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Salesforce unveils eVerse for dependable enterprise AI

The US cloud-based software company, Salesforce and its Research AI department, have unveiled eVerse, a new environment designed to train voice and text agents through synthetic data generation, stress testing and reinforcement learning.

In an aim to resolve a growing reliability problem known as jagged intelligence, where systems excel at complex reasoning yet falter during simple interactions.

The company views eVerse as a key requirement for creating an Agentic Enterprise, where human staff and digital agents work together smoothly and dependably.

eVerse supports continuous improvement by generating large volumes of simulated interactions, measuring performance and adjusting behaviour over time, rather than waiting for real-world failures.

A platform that played a significant role in the development of Agentforce Voice, giving AI agents the capacity to cope with unpredictable calls involving noise, varied accents and weak connections.

Thousands of simulated conversations enabled teams to identify problems early and deliver stronger performance.

The technology is also being tested with UCSF Health, where clinical experts are working with Salesforce to refine agents that support billing services. Only a portion of healthcare queries can typically be handled automatically, as much of the knowledge remains undocumented.

eVerse enhances coverage by enabling agents to adapt to complex cases through reinforcement learning, thereby improving performance across both routine and sophisticated tasks.

Salesforce describes eVerse as a milestone in a broader effort to achieve Enterprise General Intelligence. The goal is a form of AI designed for dependable business use, instead of the more creative outputs that dominate consumer systems.

It also argues that trust and consistency will shape the next stage of enterprise adoption and that real-world complexity must be mirrored during development to guarantee reliable deployment.

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Heavy sell pressure pushes Bitcoin back under $94,000

Bitcoin’s price continued to weaken after dipping under $94,000, extending a retreat that has now erased nearly $190 billion from its market value over the past week. Trading volumes remained high, yet sell pressure dominated as the asset struggled to reclaim momentum.

Market data showed more than $394 million in crypto liquidations over the past 24 hours, with the majority coming from long positions. Sentiment stayed uneasy as Bitcoin hovered close to the $94,000 mark, offering little reassurance to traders seeking signs of stability.

Analysts remain divided on whether the current zone represents a potential floor or a pause before further declines. Traders noted that fresh catalysts will be needed to support any sustained recovery as liquidations rise and volatility deepens.

Bitcoin’s recent swings have left market participants split between bargain hunting and preparing for another downturn. Precise data and level-headed decision-making appear more valuable than hype as the market navigates its latest correction.

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Disney+ prepares AI tools for user creations

Disney+ is preparing to introduce tools that enable subscribers to create short, AI-generated videos inspired by its characters and franchises. Chief executive Bob Iger described the move as part of a sweeping platform upgrade that marks the service’s most significant technological expansion since its 2019 launch.

Alongside user-generated video features, Disney+ will gain interactive, game-like functions through its collaboration with Epic Games. The company plans to merge storytelling and interactivity, creating a new form of engagement where fans can build or remix short scenes within Disney’s creative universe.

Iger confirmed that Disney has held productive talks with several AI firms to develop responsible tools that safeguard intellectual property. The company aims to ensure that fans’ creations can exist within brand limits, avoiding misuse of iconic characters while opening the door to more creative participation.

Industry analysts suggest that the plan could reshape the streaming industry by blending audience creativity with studio production. Yet creators have expressed caution, urging transparency on rights and moderation.

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Agentic AI drives a new identity security crisis

New research from Rubrik Zero Labs warns that agentic AI is reshaping the identity landscape faster than organisations can secure it.

The study reveals a surge in non-human identities created through automation and API driven workflows, with numbers now exceeding human users by a striking margin.

Most firms have already introduced AI agents into their identity systems or plan to do so, yet many struggle to govern the growing volume of machine credentials.

Experts argue that identity has become the primary attack surface as remote work, cloud adoption and AI expansion remove traditional boundaries. Threat actors increasingly rely on valid credentials instead of technical exploits, which makes weaknesses in identity governance far more damaging.

Rubrik’s researchers and external analysts agree that a single compromised key or forgotten agent account can provide broad access to sensitive environments.

Industry specialists highlight that agentic AI disrupts established IAM practices by blurring distinctions between human and machine activity.

Organisations often cannot determine whether a human or an automated agent performed a critical action, which undermines incident investigations and weakens zero-trust strategies. Poor logging, weak lifecycle controls and abandoned machine identities further expand the attack surface.

Rubrik argues that identity resilience is becoming essential, since IAM tools alone cannot restore trust after a breach. Many firms have already switched IAM providers, reflecting widespread dissatisfaction with current safeguards.

Analysts recommend tighter control of agent creation, stronger credential governance and a clearer understanding of how AI-driven identities reshape operational and security risks.

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