The shift from AI that answers to AI that does the work
Chat was the first act. The next one is software that plans a task, carries it out and checks the result. Here is what that changes for the people who use it.
Latest
Why every big AI company now wants its own chip
Here is what happened, and why it matters. People who work in the field say the direction is clear, even...
Reusable rockets cut the cost of launch. What gets cheaper next?
Here is what happened, and why it matters. The numbers are still small next to the size of the whole...
How to read an earnings call in ten minutes
Here is what happened, and why it matters. Not everyone agrees. Some point out that early results often look better...
The slow end of per-seat pricing, explained
Software makers are moving to pay-for-what-you-use. Buyers should read the fine print.
Warehouse robots are learning to handle the messy jobs
Picking odd shapes was the last hard problem. It is getting easier, one grip at a time.
Quantum computing: what works today and what is still a lab demo
A clear line between real use cases and research that is years away.
A plain guide to AI agents: how they plan, act and check their work
Agents split a goal into steps, use tools, and verify the outcome. This is how each part works, without the hype.
Markets
All Markets storiesWhat interest rates do to tech valuations, in plain words
Why the same company can be worth less when rates go up, even if nothing else changed.
Five numbers that move a chip stock
Gross margin, inventory and three more figures worth watching.
Why tech leads the market up and down
Big tech is now a large part of every index. That cuts both ways.
Deep reads
The power problem: can the grid keep up with AI data centers?
Electricity, not chips, may decide how fast AI grows.
What makes a software company worth buying
The numbers investors check, and the ones they quietly ignore.
More topics
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