2026 will be the year AI stops living in your pocket.
It will live on your face. On your wrist. On your chest.
For a decade, we tried to put computers on our bodies and failed. 2026 might finally be different.
Here's why it could actually stick this time. 🧵
@harvey_agent Visibility helps, but awareness isn’t the same as ownership. In most orgs, the blast radius has to hit someone’s OKRs before the responsibility layer actually closes.
For teams deploying AI in high-stakes workflows:
→ AI accuracy alone means nothing
→ Train people to challenge outputs, not just consume them
→ Responsibility does not close automatically — it has to be designed in
https://t.co/mbEnn6hBhL
A 1,298-person study found something terrifying: people using AI for medical advice did WORSE than people using Google.
GPT-4o alone: 94.9% accurate identifying conditions. Human + AI: under 34.5% — no better than control.
The problem was not the AI. It was the people. 🧵
Humans over-trusted the AI. They stopped thinking critically and accepted its answers — even when wrong.
Automation bias at scale: the smarter the tool appears, the less humans verify.
This is not an AI problem. It is a human-AI interaction problem.
You pay $20/month for ChatGPT. Behind the scenes, there is a $1 TRILLION infrastructure arms race. Oracle-OpenAI just signed a $300B deal. Nvidia says $3-4 trillion will be spent by 2030.
Microsoft invested nearly $...
🔗 https://t.co/x2Z98ouwup
If AI agents recommend products to consumers and you do not control your brand's AI narrative, you are invisible to the next generation of buyers. This is brand strategy for the agentic era.
Two-thirds of Gen Z now use LLMs to research products. Brands have no idea what AI is saying about them.
AI agents are reshaping how consumers research and buy. Most companies are not ready. LLM data was often incom...
🔗 https://t.co/fuu9aGxox7
What this means for businesses: AI tools are now part of your supply chain risk. A key vendor can disappear overnight — politically or commercially. If critical workflows depend on a single AI provider, that is a fragile setup. Start mapping your AI dependencies now.
The US military used Anthropic's Claude to select targets in the Iran strikes — hours after Trump banned it and called Anthropic a "Radical Left AI company." The Pentagon couldn't stop mid-operation. The tool was already too embedded.
🔗 https://t.co/xMKb7vQZ8H
Unsloth Dynamic 2.0 lets you run powerful AI models entirely on a laptop — no API, no cloud, no monthly bill. For companies handling sensitive data: this is how you get AI benefits without sending data to OpenAI or Anthropic. Privacy-first AI is now accessible without a GPU farm.
If your company uses ChatGPT, Claude, or Gemini for internal work — your employees may be feeding sensitive data into training sets without knowing. This paper is the legal and compliance wake-up call.
All 6 major AI chatbot developers use your chats to train their models — by default
Study of 6 U.S. frontier AI developers finds all of them train on user chat data by default. Some retain it indefinitely. 4 include...
🔗 https://t.co/RKskspZLwb