The Same Day Two Very Different Things Happened in AI…and Almost Nobody Noticed

by Jana Spivey | Jun 25, 2026 | Blog

The views expressed in this post are those of the author. All claims are based on publicly available reporting and Google's own official disclosures. JAM Agency has no affiliation with Google or any platform referenced here.

You already know this story. A powerful player dominates the market, smaller operators struggle to compete on a tilted playing field, and when accountability finally arrives, it lands on the wrong target.

You know it because you've lived it.

The Live Nation antitrust verdict hit in April. A federal jury found the company had illegally monopolized the live music industry. Independent venues, promoters, and artists cheered, because they'd been saying it for years. The system finally caught up.

Or did it? Because the thing about powerful players is that accountability tends to find the ones who drew a line in the sand, not the ones who caused the most damage.

On June 12, 2026, that dynamic played out again. This time in AI. And if you're running an independent venue or events business, it's worth understanding what happened, because AI is now part of your business environment whether you've opted in or not.

What Happened on June 12

Two stories broke on the same day. They got very different amounts of attention.

Story one: Google filed a landmark lawsuit against a Chinese cybercrime network called Outsider Enterprise. The group used Google's own Gemini AI to build more than 9,000 fake websites, generate over one million fraudulent URLs, and send 2.5 million scam texts to Android users in a two-week stretch alone. The FBI estimates the operation stole 3.87 million credit card numbers across dozens of countries. Total losses: $1.9 billion since July 2023. The scam was so automated and accessible that criminals with zero technical skills could pay $88 a week and immediately start running industrial-scale fraud campaigns.

Story two: The US government issued an emergency directive ordering Anthropic, the AI safety company behind Claude, to immediately shut down access to its two most advanced models, Fable 5 and Mythos 5, for all users worldwide. The government's stated concern was a potential jailbreak, essentially a technique for getting the AI to behave outside its guardrails. Anthropic reviewed the demonstration and found that the vulnerability was narrow, non-universal, and produced capabilities already available in every other major AI model on the market, including models the government itself uses.

Anthropic complied. Every customer lost access immediately. No warning, no transition period, no due process.

Let's Sit With That for a Second

A $1.9 billion fraud operation powered by AI: civil lawsuit, filed by Google itself, business as usual everywhere else.

A theoretical narrow vulnerability in a model already scrutinized more than any other in the industry: immediate government shutdown, hundreds of millions of users cut off overnight.

Now, to be fair to all sides here: these aren't perfectly equivalent situations. Anthropic's models are frontier AI, which carries genuinely higher stakes. And Google suing a fraud network is a meaningful action, not nothing. The technical details of AI safety are legitimately complex.

But the pattern is hard to ignore.

The model that got shut down is the one built by the company that has consistently refused to remove its own ethical guardrails, even when the government asked. Anthropic had already been designated a "supply chain risk" by the Department of Defense earlier this year, after refusing to strip prohibitions on using Claude for mass surveillance and autonomous weapons. A federal judge later issued a temporary injunction against that designation.

In other words: the company drawing lines got punished. The platform actively used for large-scale consumer fraud got a lawsuit that it filed against someone else.

Why This Matters to You

You might be thinking: I run venues, not an AI company. Why do I care about Anthropic's regulatory problems?

Here's why.

AI is already inside your business. It's shaping how fans find your shows, how event information gets surfaced in search results, how tickets get discovered and purchased. We've written about this extensively, because the agentic booking layer that Google launched this summer routes through major ticketing platforms, and independent venues don't have direct access. You're already navigating an AI-mediated landscape whether you chose to or not.

That means the regulatory and accountability environment around AI is your environment too. Who gets to build AI and under what constraints, what counts as acceptable risk, who bears the cost when things go wrong, these are questions with real consequences for independent operators.

The Live Nation parallel is not a stretch. When a regulatory structure consistently protects the biggest players, either by giving them a pass on actual harm or by using compliance pressure to squeeze the ones drawing ethical lines, independent operators end up with fewer good options, not more.

The AI companies with the strongest safety commitments are the ones most vulnerable to regulatory action. The ones with the loosest guardrails, or the ones whose tools get weaponized for fraud, seem to navigate it more smoothly. That's not a dynamic that ends well for anyone who relies on trustworthy AI infrastructure.

What You Can Actually Do With This

First, pay attention to which AI tools you're building your business around. Not all AI companies operate the same way. Some have published detailed ethics frameworks and accept genuine regulatory scrutiny, even at commercial cost. Others haven't drawn many lines at all. That's worth knowing when you're deciding what to embed in your operations, your ticketing flows, your marketing.

Second, understand that AI accountability is still being written. The rules are not settled. The June 12 directive to Anthropic was challenged in court almost immediately. Google's lawsuit against Outsider Enterprise is the first time Google has legally pursued bad actors for misusing Gemini. This is all new territory.

Third, watch how this plays out for independent operators specifically. The agentic booking layer, the AI search visibility gap, the infrastructure dependencies that independent venues already navigate, these don't exist in isolation from the broader AI power dynamics. The same consolidation pressures you've seen in ticketing and venue ownership are beginning to show up in AI. Getting ahead of that understanding is part of staying competitive.

The Bottom Line

Two things happened on the same day. One involved $1.9 billion in fraud powered by AI, and the other involved a potential narrow jailbreak in a model that Anthropic's own review found produced no harmful results.

The one with the fraud got a civil lawsuit. The one with the theoretical vulnerability got shut down by government order.

You're smart enough to read that and draw your own conclusions. What I'd encourage you to do is hold onto the question it raises: in an industry increasingly shaped by AI, who's drawing the lines that protect you, and who's actually being held accountable when things go wrong?

Those questions matter for your venue. They matter for your fans. And they're going to matter more, not less, as AI becomes more embedded in how live events work.

We're watching it closely. You should too.

Want to know where your venue stands in the AI search landscape right now? Start with our free AI visibility snapshot at thejamagency.com/visibility-audit. No access required, no strings attached.

Sources

Anthropic — Primary source "Statement on the US government directive to suspend access to Fable 5 and Mythos 5," June 12, 2026

Digital Trends — Gemini fraud report Manisha Priyadarshini, "Scammers used Gemini AI to power a massive phishing operation and Google just sued them," June 12, 2026

Decrypt — FBI fraud estimates "Google Sues Chinese Crime Group for Allegedly Using Gemini AI for Mass Phishing Scams," June 2026

Wikipedia — Claude/Anthropic DoD context Claude (language model) — Wikipedia

Live Nation antitrust verdict
United States v. Live Nation Entertainment, Inc., S.D.N.Y., jury verdict April 15, 2026

Google Quietly Admitted Your Search Data Has Been Wrong for Nearly a Year. Here’s What That Actually Means.

by Jana Spivey | Jun 25, 2026 | Blog

The views expressed in this post are those of the author. All claims are based on publicly available reporting and Google's own official disclosures. JAM Agency has no affiliation with Google or any platform referenced here.

On April 3, 2026, Google updated a page on its website called "Data anomalies in Search Console."

It's not exactly required reading. Most people have never visited this data anomalies page. But what Google disclosed there, in a handful of sentences, is one of the most significant data quality admissions in the history of search marketing.

And almost nobody noticed.

What Google Said

Here's the statement, in full:

"A logging error is preventing Search Console from accurately reporting impressions from May 13, 2025 onward. This issue will be resolved over the next few weeks; as a result, you may notice a decrease in impressions in the Search Console Performance report. Clicks and other metrics weren't affected by the error, and this issue affected data logging only."

That's it. Forty-seven words. A page update, not a press release. No email to site owners. No prominent announcement. Just a quiet correction to a technical document most people never read.

What those forty-seven words mean: Google Search Console, the primary tool that virtually every website owner, SEO professional, and marketing agency uses to measure organic search performance, was reporting inflated impression data for nearly eleven months. From May 13, 2025 through late April 2026.

Eleven months of wrong numbers. Used by millions of businesses to make decisions about their marketing, their content, their budgets, and their teams.

Let's Make Sure We Understand What Was Actually Broken

Google was quick to say clicks weren't affected. Your traffic data is fine. But impressions are not a minor metric. They are the foundation of how organic search performance is measured, reported, and understood.

Here's why that matters.

Impression counts drive CTR calculations. Click-through rate is clicks divided by impressions. If the denominator was inflated for eleven months, every CTR number in your Search Console reports was artificially depressed. A page that appeared to be performing at a 0.4% CTR may have actually been performing at 0.6% or higher. That difference changes which pages you prioritize, which title tags you rewrite, which content you decide to abandon.

Impression trends drove industry-wide narratives. Throughout late 2024 and 2025, the SEO industry observed a consistent pattern: impressions rising while clicks stayed flat. The near-universal interpretation was that AI Overviews were satisfying queries directly on the search results page, eliminating the need for users to click through. Studies were published. Strategies were revised. Agency pitches were rewritten. "AI is killing your organic traffic" became the dominant story in search marketing.

Some of that story is true. AI Overviews do affect click behavior. But the measurement was contaminated. The impression inflation was running during the exact period when that narrative was being built. How much of the "Great Decoupling" was a real behavioral shift, and how much was a logging error? Google hasn't said. The honest answer is: we can no longer tell.

The distorted data is permanent. This is the part that doesn't get enough attention. Google fixed the logging error going forward. But the inflated historical data stays. It won't be reconstructed retroactively. John Mueller confirmed this. Which means any year-over-year impression comparison that spans May 2025 through April 2026 is comparing accurate data against inflated data. You won't have a clean year-over-year comparison on both sides of this window until May 2027.

It Gets More Complicated

The logging bug wasn't the only distortion running during this period. There were three simultaneous problems, and understanding all three matters.

The bot scraper inflation. Starting around February 2025, bots began exploiting a Google search parameter called &num=100, which allowed queries to return 100 results per page instead of the standard 10. Every one of those bot queries registered as 100 impressions in Search Console rather than 10. Impression counts were artificially inflated across the industry. On September 12, 2025, Google disabled the parameter. Impressions fell 30 to 70 percent overnight, alarming marketing teams who had no idea what they were looking at. The bot inflation and the logging bug were running simultaneously from May through September 2025. Two separate distortions, layered on top of each other.

The AI Mode data merge. On June 17, 2025, Google began counting AI Mode clicks, impressions, and position data toward totals in the Search Console Performance report. AI Mode is a fundamentally different search experience than traditional organic results. But Google merged the data into the existing "Web" category with no label, no filter, and no way to separate it. As of mid-2026, there is still no native way to isolate AI Mode data in Search Console. Every "Web" total from June 2025 onward includes surfaces that didn't exist in 2024, blended in without disclosure.

So to be precise: from roughly May 2025 through April 2026, Google Search Console impression data was simultaneously inflated by a logging error, inflated by bot scraper activity (until September), and contaminated by the addition of a new search surface that wasn't separately labeled. Three distortions. One number. Used by essentially everyone.

What This Means for Your Venue or Events Business

You may not be running weekly SEO reports. You may not have been tracking Search Console impressions closely. But if you have a marketing agency, an SEO provider, or anyone reporting on your digital performance during this period, their reports were built on these numbers.

That means any report from roughly May 2025 through April 2026 that cited impression growth, visibility trends, or CTR performance should be treated with significant caution. Not because your agency did anything wrong. Because the data source was wrong, and the data source is Google.

A few specific situations worth checking:

If your agency told you impressions were growing during this period, that growth was at least partially artificial. The real question is whether clicks grew, because click data was accurate throughout.

If your agency told you your CTR was declining, or that AI Overviews were hurting your performance, that conclusion was drawn from a corrupted denominator. It may have been true. It may have been the bug. There's no longer a way to know for certain from Search Console data alone.

If your agency used impression data to justify a content strategy pivot, a budget reallocation, or a decision to pause certain marketing activities, that decision deserves a second look now that we know what we know.

None of this is your agency's fault. The error was Google's. The disclosure was Google's. The impact falls on everyone who relied on the tool.

The Deeper Issue

Here's what I keep coming back to.

The SEO industry spent the better part of a year building a consensus narrative about AI's impact on organic search, based on a metric that was wrong. The "alligator effect" (impressions rising while clicks stayed flat) became the defining visual of the AI search transition. Countless strategies were built around it. Some of those strategies were probably correct. Some were chasing a measurement artifact.

We genuinely can't go back and separate them now.

Google's forty-seven word disclosure didn't include the magnitude of the inflation. It didn't explain why it took eleven months to identify and disclose. It didn't estimate how many businesses were affected or offer guidance on which decisions should be revisited. It updated a page. The SEO community pieced together the implications from independent research.

That's the disclosure standard for a tool that millions of businesses depend on. A page update.

I'm not saying this to alarm you. Clicks were accurate. If your traffic was growing, it was growing. If your marketing was driving real results, it was. The click data and Google Analytics sessions are the numbers to trust.

But the impression story, and everything built on it, needs to be held loosely right now. And anyone presenting you with year-over-year visibility reports spanning this window without acknowledging the data quality issue is either unaware of it or choosing not to tell you.

What to Do Right Now

Anchor to clicks, not impressions. Clicks and actual GA4 sessions weren't affected by any of the three distortions. If you want to understand your organic search performance during the affected window, clicks are the reliable signal.

Annotate your dashboards. Mark May 13, 2025 and April 27, 2026 as data quality boundaries. Any trend analysis crossing those dates should carry a note that impression-based metrics are unreliable for that period.

Hold year-over-year impression comparisons until 2027. You won't have clean data on both sides of the window until May 2027. Until then, YoY impression comparisons aren't meaningful.

Ask your agency what they knew and when. Not as an accusation. As a reasonable question. A good agency should've caught this disclosure in April and flagged it to clients immediately. If they haven't mentioned it, bring it up. Any good agency should be able to walk you through it.

Consider what decisions were made on impression data. If any significant strategic or budget decisions from mid-2025 onward were based on impression trends or CTR analysis, it's worth revisiting them with accurate click data as the benchmark instead.

The Bottom Line

For nearly eleven months, Google Search Console was reporting impression numbers that were too high. CTR numbers derived from those impressions were too low. Industry narratives about AI's impact on search behavior were built on those numbers. Strategies were adjusted. Budgets shifted. And on April 3, 2026, Google updated a page most people never read.

Here are the three dates every marketer, every agency, and every business owner needs to write down right now:

May 13, 2025 — the date your impression data became wrong. Every Search Console impression number from this date forward through April 2026 is inflated. Every CTR calculated from those impressions is artificially low. Every visibility trend built on those numbers is unreliable.

April 27, 2026 — the date your impression data became correct again. This is your new baseline. Impressions reported from this date forward can be trusted. Everything before it cannot.

May 2027 — the earliest date you can do a clean year-over-year impression comparison. That's when you'll finally have twelve months of accurate data on both sides of the window. Until then, year-over-year impression comparisons are meaningless. Use clicks. Use GA4 sessions. Use conversions. Anything but impression-based metrics spanning this window.

Let that sink in for a second. Nearly two full years will pass before anyone can do a reliable year-over-year impression comparison again. Two years of SEO reporting, visibility analysis, and content strategy decisions made unreliable by a logging error that Google knew about for eleven months before quietly disclosing it in forty-seven words on a page most people never read.

The click data is fine. The traffic data is fine. But if your understanding of your search performance during this period was built on impressions, it's time to look at it again with click data as your anchor.

If you're not sure where to start, or if you want to understand how your venue is actually showing up in search and AI results right now, that's exactly what our free AI visibility snapshot is designed to help with. No GSC access required, no impression data needed.

Start with a free AI visibility snapshot at thejamagency.com/visibility-audit. Find out where you actually stand.

Sources:

• Google — Primary source Google Data Anomalies in Search Console (official page, updated April 3, 2026)
• Search Engine Land — News report Danny Goodwin, "Google is fixing a Search Console bug that inflated impression counts," April 3, 2026
• Passionfruit Labs — Research analysis "Your Search Console Data Has Been Wrong for a Year," April 3, 2026
• SEO Kreativ — Technical breakdown "GSC Impressions Bug: Google Is Fixing Inflated Data," May 10, 2026
• Brodie Clark / Search Engine Roundtable — Great Decoupling Glenn Gabe, "GSC Logging Error Yielded Inflated Impressions Since May 2025," April 6, 2026
• SOCi — Industry impact analysis "Google Search Console Has Been Overstating Impressions for Nearly a Year," April 23, 2026