Industry news

Cognizant has struck a deal with Anthropic which will see the Claude family of language models (LLM’s) rolled out across the service provider's 350,000 personnel. The collaboration aims to bolster Cognizant's efforts to transition from a systems integrator to an artificial intelligence (AI) builder and the company plans to align its software engineering and platform offerings with Anthropic capabilities.

The initial focus areas for the partnership are software engineering productivity, legacy modernisation and agentification. The first of these will see Claude and Claude Code deployed with Cognizant Flowsource™ Platform to accelerate coding tasks, testing, documentation and DevOps workflows. In parallel, the two parties will also develop vertical solutions, beginning with Financial Services, which embed agentic workflows into regulated, enterprise environments.

Read the full article on TechMarketView here.

Hot on the heels of its enhanced Kingfisher deal TCS has secured an expanded five-year contract with grocer Morrisons, building on a partnership dating back to 2014. The new deal will see TCS deliver end-to-end engineering services spanning retail, e-commerce, and marketing operations, with a particular emphasis on the transformation of the firm’s loyalty programme and enhancing its customer experience.

The scope of the contract includes establishing an automation factory and Business Intelligence Command Centre (BICC) to enable proactive issue resolution and data-driven decision-making. TCS will also look to modernise legacy platforms whilst embedding AI-powered solutions across Morrisons' digital estate. Notably, the arrangement has enabled Morrisons to consolidate its vendor base and improve cross-functional synergy, a recurring theme among UK retailers seeking to streamline technology partnerships

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IBM latest legacy tech employer to “rebalance” its workforce

IBM has said it will cut roles in its US infrastructure division in the fourth quarter. In a statement to Bloomberg, the company said:

"We routinely review our workforce ... and at times rebalance accordingly," the company said in a statement. "In the fourth quarter we are executing an action that will impact a low single-digit percentage of our global workforce."

IBM did not give the exact number of job cuts but given that Big Blue had around 270,000 employees at the end of 2024, a one‐percent reduction would equate to roughly 2,700 roles.

Read the full article on Computing here.

Lloyds Banking Group is launching an agentic AI financial assistant in early 2026, available to its 21 million mobile app customers. The assistant will provide personalised guidance on spending, savings and investments, with plans to expand across the bank's full product range including mortgages, car finance and insurance.

The timing is notable. Lloyds' own Consumer Digital Index found that 56% of UK adults have used AI in the past year to help manage their money, with ChatGPT the most popular platform. Yet 80% are concerned about receiving inaccurate information, whilst 69% worry about lack of personalisation. The assistant addresses these concerns by operating within a secure banking app environment, using curated bank data rather than general-purpose models.

Read the full article on TechMarketView here.

Amazon cuts 14,000 from its corporate workforce in pursuit of agility and AI investment

The layoffs fall considerably short of the 30,000 number mooted in earlier reports.

Nonetheless, the cuts will affect almost every Amazon business, including human resources, operations, devices and services, and AWS.

The rationale behind the cuts is clearly presented in a statement from Senior Vice President of People Experience and Technology, Beth Galetti.

“Some may ask why we’re reducing roles when the company is performing well. Across our businesses, we're delivering great customer experiences every day, innovating at a rapid rate, and producing strong business results. What we need to remember is that the world is changing quickly.”

Read the full article on Computing here.

Accenture has announced its Physical AI Orchestrator, a cloud-based platform designed to help manufacturers turn physical facilities into software-defined environments.

The system combines NVIDIA Omniverse technologies with AI agents from Accenture’s AI Refinery (a framework to help organisations build, train, and deploy AI models more efficiently) to create and manage live digital twins of plants and warehouses.

The idea is to bring together the physical and digital worlds of production. Virtual replicas of factories and warehouses run real-time, physics-based simulations to test changes or detect potential issues. AI agents then interpret the findings and translate them into precise actions, automatically adjusting production schedules, quality controls, or resource use across the physical site.

Read the full article on TechMarketView here.

Yesterday, Capita launched its new 'AI Catalyst Stack', as it continues to move towards what it terms "agentic BPO", a repositioning of its service delivery model around AI agents rather than traditional labour arbitrage.

Over the last twelve months, Capita has moved significantly to embed AI across its BPO operations, in particular addressing the UK public sector's evolving procurement expectations. With government increasingly mandating AI capability rather than treating it as a nice-to-have, Capita's timing fits with broader policy shifts around AI Growth Labs and digital service transformation.

Early operational metrics published by Capita suggest real impact beyond pilot-stage experimentation. The company reports 17% to 20% faster handling times and up to 35% productivity gains in customer experience operations, alongside 60% to 70% reductions in delivery cycles through repeatable AI products. These results, drawn from Capita's 'client zero' internal deployment, suggest production-scale viability.

Read the full on TechMarketView here.

Google has launched Gemini Enterprise, an AI platform combining six components through a single interface. The system integrates Google's Gemini models with a no-code workbench for coordinating AI agents, pre-built and custom agents for tasks such as deep research, enterprise data connections across Google Workspace, Microsoft 365, Salesforce and SAP, centralised governance controls, and access to over 100,000 partners.

The platform includes several new capabilities. Google Vids converts presentations and other content into videos with AI-generated scripts and voiceovers. Google Meet now offers real-time speech translation that captures natural tone and expression beyond simple word translation. A Data Science Agent automates data wrangling, ingestion and exploration, whilst streamlining model development by generating multi-step training plans. The company has also introduced next-generation conversational agents with low-code visual builders and new extension frameworks for customisation.

Read the full article on TechMarketView here.

TCS continues to battle headwinds, delivering a resilient Q2 FY26 performance, posting revenues of $7.5bn with sequential constant currency growth of 0.8% but down 3.3% year-on-year. Perhaps more significantly, operating margins expanded 70 basis points to 25.2%, as the business adjusts to emerging operating environments (see TCS reduces workforce by 2% amid AI-driven skills shift).

The Indian IT services giant is pivoting heavily toward AI-led transformation, announcing plans for a 1 GW capacity AI datacentre in India and acquiring US-based Salesforce specialist ListEngage for a reported $73m. The company's ambition to become the "world's largest AI-led technology services company" gained credibility through a $10bn quarterly TCV and marquee wins including a seven-year $647m engagement with Scandinavian insurer Tryg.

Read the full article on TechMarketView here.

British employees are sounding the alarm over the rise of AI agents in the workplace, warning that the tools are unreliable, unresponsive to feedback, and in some cases creating more work instead of reducing it.

That's according to the Global State of AI at Work 2025 Report, commissioned by work management platform vendor Asana.

The study surveyed 2,025 workers worldwide, including 1,021 in the UK, and paints a picture of a workforce eager to embrace AI but held back by trust and oversight gaps.

Employees expect to hand off almost a third (32%) of their workload to AI within a year, and 41% within three years. Yet today, only one in four (25%) say they feel ready.

Even as use grows, confidence is lagging. Nearly two-thirds (64%) of workers describe AI agents as unreliable. More than half say the tools confidently produce incorrect results or ignore feedback altogether. Without clear accountability, mistakes go unresolved, undermining both efficiency and trust.

Read the full article on Computing here.