Chrome Extended Stable is the channel your managed fleet is probably sitting on, and on 8 September 2026 it started falling behind three times faster than it used to. Google’s announcement of the two-week release cycle contains a section headed “No change to Extended Stable”. That heading is true about the eight-week interval and misleading […]
Project OT — short for Organization Transformation — was Meta’s plan to make the company “AI native” by handing much of its routine work to software agents, leaving small “talent-dense” pods of humans to supervise them. A Reuters special report published on 26 August 2026 says the plan was drawn up at Mark Zuckerberg’s Hawaii compound in January, modelled team cuts of up to 60 per cent, and was abandoned in part on the evening of 19 May, hours before the first wave of notices went out. This breakdown covers what Project OT actually was, the pod and village structure it introduced, the internal metrics that undermined it, the keystroke-tracking software that triggered an employee revolt, the 8,000 layoffs and 7,000 redeployments that did happen, and what any organisation writing an AI workforce plan should take from it.
Automations rarely fail loudly. They get switched off in month seven, abandoned in place, or quietly worked around until nobody can say when the benefit stopped arriving. This guide covers what failure actually looks like, where in the lifecycle it happens, the seven causes behind the overwhelming majority of cases, how the risk changes by delivery model, the warning signs that appear months in advance, a prevention checklist you can apply before the next build, and a 90-day plan to bring an unmanaged estate under control — with five comparison tables and three charts.
A cutover plan is the hour-by-hour script for moving a live service to the cloud, plus the conditions under which you stop and go back. This guide covers the cutover strategies and when each applies, how to build a runbook people can follow at three in the morning, setting RTO and RPO and sizing the window, the three-pass data sync and the point of no return, the rollback plan in the detail it deserves, go/no-go criteria and the T-minus schedule, rehearsing the reverse path, cutover day roles, hypercare and decommissioning, and the mistakes that turn a twelve-hour window into a thirty-hour one.
A practical guide to AI workforce displacement mitigation, IT operating-model redesign, role restructuring, upskilling, governance, and agentic AI deployment readiness.
