The bet was that AI would grow into a traffic source, the way search did. It is going the other way: the gap between what it takes and what it returns widened by half in a single quarter.

The bet was that AI would grow into a traffic source, the way search did. It is going the other way: the gap between what it takes and what it returns widened by half in a single quarter.

Retraining happens silently: here's how to catch drift before it costs you.

That gap is your edge, and Washington is fighting over whether you keep it. Plus: EY's token bill, EU labels, LinkedIn's slop button.

That gap is your edge, and Washington is fighting over whether you keep it. Plus: EY's token bill, EU labels, LinkedIn's slop button.

Three arguments run under the AI boom, and last week all three surfaced at once. None is about which model is smartest.

AI is the fastest-growing market on earth, which is exactly why most companies will lose money on it.

Meet botsitting and botshitting, the unbudgeted cost of making AI usable.

A study of 400,000 AI sessions says the people who steer the work win, not the ones coding it.

A token-price index drifted down, the market called the top, and the real story walked out the back.

The AI risk moved from what models say to what they can do, and OpenAI built the retreat.

The AI risk for marketers has moved from what the AI says to what it can do. Here is what changed, in plain terms, and what to check before you trust an AI tool with your customers' data.

Frontier AI token prices have fallen 5 to 10 times per year since 2022.

Last week we wrote about how the boundaries between marketer, agency, platform, publisher, retailer, and AI company are dissolving.

The boundaries between marketer, agency, platform, publisher, retailer, and AI company are dissolving.

OpenAI and Anthropic both launched billion-dollar deployment companies this week, embedding engineers inside organizations to help them integrate AI.

Every major ad platform reported this quarter. Most coverage focused on the capex arms race ($650–700 billion combined across the four hyperscalers) and whether AI spending will pay off.

Enterprise adoption is broad but shallow: only 5% of marketing AI runs autonomously, just as the model race gives way to a battle for customer discovery.

Meta is on track to overtake Google in global ad revenue this year: $243.5 billion to $239.5 billion, according to eMarketer.

Five new studies point to the same conclusion: brand strength does most of the work, and the engines largely agree on who matters.