Bentley’s first electric car arrives, and its next one is not due until after 2030
THE SO WHAT
Bentley pushing its all-EV target from 2030 to 2035 and spacing models beyond 2030 shows even luxury OEMs are rethinking straight-line EV roadmaps. If you’re tied to auto timelines—charging, materials, software—plan for staggered, segment-specific adoption rather than uniform EV curves.
READ THE SOURCE
MORE FROM THE WIRE
Deep & Emerging TechMesa Quantum Raises $11.8 Million to Scale Quantum Timing Systems
An $11.8m round for scalable quantum timing and sensing is another brick in the wall of quantum-adjacent infrastructure that will reach production before full-stack quantum computing. If your systems depend on precise timing — comms, finance, grid — start tracking these vendors now; they may become drop-in upgrades before the decade ends.
Deep & Emerging TechFive Indianapolis Cops Charged With Misusing Flock Cameras, Including One Case of Stalking
Allegations of police using automated license plate readers for stalking and other misuse show how quickly surveillance tools can drift from stated intent. Cities and vendors deploying similar systems need hard technical guardrails — access logging, anomaly alerts, independent audits — not just policy documents.
Deep & Emerging TechDutch Prime Minister Has Discussed MATCH Act With Trump
Dutch discussions of the MATCH Act with US leadership underscore that ASML export controls are now a negotiated geopolitical instrument, not a technicality. If your roadmap depends on advanced-node tools or Chinese manufacturing, treat policy risk as a core supply-chain variable and model multiple control regimes through the late 2020s.
Deep & Emerging TechLaunch of UK’s ‘largest AI supercomputer’ delayed by power supply problems
Power and grid constraints are now gating AI capacity more than chips—if a flagship UK supercomputer can slip from 2027 toward the mid-2030s over power issues, your own timelines are exposed to the same physics. Treat energy, grid interconnects, and permitting as first-class risks in any multi-year AI infra plan, not back-office details.