Where artificial intelligence technology actually is
The hype cycle on artificial intelligence technology has been deafening, and the counter-hype almost as loud. Both miss what's actually happening: AI capabilities have crossed the “good enough to deploy” line for a wide range of business problems, and the rate of crossing is accelerating.
What changed in the last 18 months
- Foundation models got cheap enough that single-digit-cent inference is feasible at scale.
- Multimodal AI (vision + language + audio) is now production-ready, not research-stage.
- Agentic patterns went from novelty to viable for narrow, well-bounded tasks.
- The infrastructure around AI — eval, observability, guardrails — finally matured.
Where it's being deployed (including artificial intelligence in electronics)
AI is now embedded across consumer electronics — on-device noise cancellation, computational photography, smart-home routing, predictive battery management — all examples of artificial intelligence in electronics that the user no longer notices because it just works.
On the enterprise side, the deployments that are sticking are customer service, document processing, software engineering assistance, and knowledge work copilots.
The future of communication is AI
If we had to pick one place where AI technology is reshaping a category fastest, it's communication. TalkTaro — our AI platform and communication brain handling voicebots, chatbots, calling, and messaging — is one example of this transition: an entire category (contact centres, IVR, support, outbound sales) being rebuilt on top of AI primitives.
