AI Business · Page 16
funding, startups, jobs, and how people and companies are actually making money with AI
British Gas says customers prefer chatbots. A reader says: that's because you made calling nearly impossible.
Centrica's chief executive claims nine in ten customers choose digital channels over a phone call. A letter writer argues the company's own call barriers are driving that number, not genuine preference.
Fusion power, crumbling grids and hungry data centres: TechCrunch Disrupt 2026 maps out AI's energy crisis
A three-day conference in San Francisco this October will gather fusion scientists, grid engineers and data-centre operators to answer one urgent question: where does all the electricity come from?
Can AI Agents Learn to Think Together? One Cisco Team Thinks It Has the Connective Tissue
Right now, AI agents are like specialists who refuse to share notes. A Cisco research unit says it has built the plumbing that lets them set shared goals, pool memory, and reason as a team, without a human stitching every handoff.
Five things enterprise leaders need to know before deploying AI agents
Intel ran thousands of experiments on agentic AI workloads and found that most organisations are measuring the wrong things. Here is what actually matters when you move beyond chatbots.
South Korea and NVIDIA Open a Joint AI Lab and Deepen Tech Ties at San Francisco Summit
A new research lab at one of Asia's top universities, a memory chip deal, and plans for AI infrastructure signal South Korea's push to become a serious player in global AI.
Small Businesses Are Using AI to Help Workers, Not Replace Them
A window company owner spent $10,000 on an AI tool that listens to sales conversations and writes up quotes automatically. His staff serve more customers. Nobody lost a job.
Google and Tesla Are Burning Cash on AI. Wall Street Is Starting to Ask Why.
Both tech giants reported better revenue than expected, then watched their share prices fall. The culprit: eye-watering AI spending with returns that investors can't yet see.
One downed power line flickered lights from Virginia to Chicago. AI data centers caused it.
When a single transmission line failed near Washington, DC, more than 3 gigawatts of data center power vanished in seconds. The grid took 11 minutes to recover. It is a warning sign of what comes next as AI demand keeps growing.
OpenAI's $230 ChatGPT Keypad Is Fun for Power Users and Puzzling for Everyone Else
The company's first piece of hardware is a compact, customisable keypad called Micro. It costs as much as a decent webcam, and whether it's worth a cent depends entirely on how much of your day already runs through ChatGPT.
Toilets, seasoning and glass fibre: the Japanese companies quietly winning the AI boom
Three Japanese firms whose core businesses have nothing to do with computing have become unlikely stock-market stars, because their decades-old materials end up inside the chips that power AI.
The $1 Billion Startup Teaching AI to Do Your Desk Job
Prentis, a four-month-old lab backed by LinkedIn co-founder Reid Hoffman, is in talks to raise $100 million. It claims its AI can handle insurance claims and customs paperwork cheaper than any rival. Here is what ordinary workers should know.
Midjourney Buys Astrology App Co-Star in Its First Known Acquisition
The AI image company is branching into consumer apps, starting with a deal for the popular daily horoscope service used by millions.
Cognition buys Poke for up to $100 million to make its AI coding assistant friendlier
The startup behind Devin, an AI that writes and fixes code, has acquired a chat app known for feeling more like a conversation than a command line. The bet: personality sells.
Midjourney Has Bought the Astrology App Co-Star, and the Reasons Are Genuinely Interesting
The AI image company is quietly building a product empire that now includes horoscopes, medical projects and a spa. What does that mean for its 4.3 million stargazers?
Why AI Makes Individual Workers Faster But Leaves Whole Companies Behind
A researcher who studies how teams work says most organisations are fixing the wrong problem. Getting each person to use AI better does almost nothing if the team itself still works the old way.