This Week’s Top Five Stories in Technology

TSMC Hits Pause on ASML’s Newest Lithography for A13 Process

TSMC has officially hit pause on ASML’s newest lithography technology, a move that has captured the attention of the entire semiconductor industry.

According to Bloomberg, the chipmaking giant decided against purchasing ASML’s latest High-NA EUV machines for its upcoming process node, asserting that the capability is not yet required for its newly announced A13 technology.

This strategic pivot sent ASML’s shares lower and raised fresh questions regarding the timing, economics and competitive dynamics surrounding the world’s most advanced manufacturing tools.

Ordnance Survey CTO on AI and the Future of Geospatial Data

The geospatial market is moving away from static images and toward live, intelligent data. 

Whether routing an ambulance or running a delivery fleet, organisations need a constant, live feed of exactly what’s happening on the ground.

Ordnance Survey (OS) has been the steward of this landscape since 1791. While globally renowned for its iconic paper maps, the organisation has transformed over more than 230 years into one of the world’s most sophisticated data providers. 

Today, OS manages the National Geographic Database, a digital engine that processes 30,000 updates daily to maintain centimetre-level precision across Great Britain.

As AI and machine learning redefine how we capture and interpret the earth’s surface, the challenge for technical leadership is balancing this rapid automation with the absolute integrity required of a national service. It is a mission that requires orchestrating a complex pipeline of computer vision, agentic AI and ethical governance to ensure data remains both accessible and authoritative.

In an exclusive interview with Technology Magazine, Manish Jethwa, Chief Technology Officer at Ordnance Survey, discusses how the organisation is utilising AI to turn 600 million geographic features into actionable intelligence, ensuring Britain’s foundational data stays as resilient as its heritage.

monday.com Product Lead on Vibe Coding and Enterprise Trust

It only took fifteen minutes for Amichay Even-Chen, Product Lead at monday.com, to realise that the future of enterprise software was about to change forever.

After experimenting with external vibe coding tools to build a personal website, he was struck by a glaring gap in the market. While the tech was impressive, it was a toy in the eyes of a corporate IT department. No bank or healthcare provider would ever touch a tool that lacked infrastructure, permissions and governance.

“I worked with tonnes of enterprise customers and I would say, okay, they would never be able to use what I just built,” Amichay explains. “IT leaders will never do it. So I thought, can I maybe use the same technology, but connect it to monday?”

He spent a quarter of an hour feeding the platform’s developer documentation into AI, teaching it to build specifically within the secure walls of monday. He recorded a two-minute demo and posted it to LinkedIn. He didn’t even share it on the internal company Slack.

The result? The video “blew up” – a turn of events that, even now, Amichay recounts with a sense of genuine shock. 

Customers flooded his inbox and the CEO of monday began receiving messages about a “cool new product” he hadn’t even heard of yet. 

That 15-minute prototype became monday vibe, an AI-powered app builder that reached US$1m in annual recurring revenue in just 10 weeks.

Lenovo Research: Is AI Adoption Outpacing Governance?

As organisations line up to adopt the latest AI tools on offer, research from Lenovo suggests that they are struggling to keep pace with their own adoption.

While AI tools are becoming essential for productivity, many businesses are failing to manage how they are used, creating a widening gap between innovation and oversight.

Lenovo’s Work Reborn report reveals that more than 70% of enterprise AI usage is happening without proper governance. 

This rise in shadow AI – where employees use AI without knowledge of their IT teams – is exposing businesses to new risks while limiting their ability to scale effectively.

Rakshit Ghura, Vice President and General Manager of Digital Workplace Solutions at Lenovo, explains the shift clearly: “AI adoption is no longer the challenge. Execution is.

Inside Meta and AWS’ Ground Breaking Graviton Chips Deal

Meta is diversifying its compute portfolio, bringing tens of millions of Graviton cores with its new AWS deal – making it one of the largest Graviton customers in the world.

The agreement expands on the long-standing partnership between the two giants to include Amazon’s custom silicon, supporting Meta’s broader goal of building the next generation of AI. 

The first deployment will focus on Graviton5 cores that are purpose-built for CPU-intensive workloads, with the flexibility to expand as AI capabilities grow at Meta. The partnership also includes the use of Amazon Bedrock at scale to support Meta's future AI goals.