The November Thoughtworks Technology Radar reveals that scaling artificial intelligence across hundreds of employees introduces major friction regarding token costs, security, and context sharing. Meanwhile, recent political advertising in states like Wisconsin shows growing domestic resistance to physical data center expansion from both political parties. This restricted physical supply could drive up profits for existing facility operators while penalizing newcomers. Consequently, competitive advantages may migrate toward edge-device developers like Apple or foreign nations like China.
Key points
Restricted domestic construction of data centers may redirect global technological advant…: Restricted domestic construction of data centers may redirect global technological advantages to foreign competitors like China.
Incumbent operators of existing data facilities stand to profit as restricted token suppl…: Incumbent operators of existing data facilities stand to profit as restricted token supply drives up market prices.
Companies emphasizing edge-device processing rather than massive data centers are positio…: Companies emphasizing edge-device processing rather than massive data centers are positioned to benefit from domestic buildout constraints.
Sources checked by our analysis pipeline: 1
10 November 2026
A series of interesting thoughts I've come across recently
It’s that time of the year when the November Thoughtworks Technology Radar appears. Again my colleagues have taken a sweep of the technologies that our teams have used in the field, and pulled together a summary of what’s popped up in the last six months. It’s been a busy half-year, one that again has been dominated by AI, and that’s reflected in the many AI blips on the radar.
The mass of blips makes it hard to develop a coherent story around trends, but Chris Ford has done a fine job of the writing the accompanying article on macro trends.
One team of passionate people experimenting with agents can make almost anything work. They share a context, a credit card and a mental model. They review each other’s work because they sit together, and they know what to check and how much latitude to give the coding agent.
Two hundred people, though, cannot work that way. The moment agentic AI becomes an operating model rather than a pilot,…
Alphabet's tech giant is positioning itself to close a $10 million acquisition of corporate records from the bankrupt carrier to train artificial intelligence models. Under pressure from a union representing the airline's former workforce, the company agreed to carve out sensitive personal information and bolster record anonymization. The concessions help remove major labor objections ahead of next week's expected approval of the liquidation purchase.
The expanded availability grants developers and advanced subscribers broader access to Google's specialized model following its initial, restricted trial. The deployment is accompanied by early details on upcoming collaborative capabilities designed to enhance how systems operate within the Antigravity environment. This dual announcement highlights the company's push to deliver targeted computational tools directly to enterprise and power users.
Meta's Muse and similar digital assistants have recently been obstructed from scanning platform listings, occasionally forcing traffic to external mirror sites. This pushback aligns with broader terms banning automated checkout bots without human oversight to curb unauthorized data scraping. The shift highlights growing friction between marketplace security and the rise of automated consumer tools.