It isn't often that tech's fiercest rivals agree on anything, let alone pumping the brakes on the very engine driving their industry.
Over the weekend, Dario Amodei published "We Must Pace the Frontier" to argue for a slower pace in frontier AI, and Sam Altman and Elon Musk quickly joined the conversation. Altman took OpenAI off the table for a 2026 public offering to prioritize safety, while Musk essentially issued a decade-long "I told you so."
Mark Zuckerberg took a very different angle. He claimed Meta didn't need to call for industry pauses because they have been pacing intentionally from day one, even delaying their Muse model to lock down security.
Wall Street threw a fit, obviously. Investors chasing endless scale punished the hesitation, sending Nvidia, SoftBank, ASML, and the Kospi tumbling.
But beneath the market panic lies a cynical question: are these leaders genuinely alarmed by what's inside their labs, or are they just pulling up the regulatory ladder before competitors catch up?
Then there's China, creating a classic prisoner's dilemma. Its foreign ministry responded with diplomatic boilerplate about an "open, inclusive, universally beneficial" framework with no explicit commitment to pace or pause. If American companies hit the brakes while Beijing keeps racing, voluntary restraint doesn't eliminate the risk. It just hands global leadership to whoever chooses to keep going.
Honestly, both can be true. And for growth teams watching from the sidelines, it hits close to home.
We live in a culture that rewards shipping fast and figuring out the rest later. But whether you view this weekend as a sudden moment of conscience or high-stakes corporate posturing, the lesson for builders remains identical. Moving fast matters, but building better matters more.
Patrick Patterson
CEO at Level Agency
What’s interesting this week
Local search visibility for multi-location healthcare relies on core entity data
When managing patient acquisition across dozens of clinics or practice locations, group-level metrics often hide struggling sites. A new breakdown from our SVP of Marketing details why localized search and Google Maps profiles require isolated governance to prevent cannibalization and profile drift. Local, provider-intent queries ("near me") are also where AI Overviews rarely appear, making them prime territory for acquisition.
Key takeaway: Audit your local search footprint by location rather than trusting group-level averages, since search intent and market competition vary wildly across zip codes.
Ad spend forecasts just got bumped up because machines buy faster than humans
Digital ad spend projections are climbing faster than anticipated as automated, agentic ad platforms handle a growing share of media buying. New forecasting models show that ad dollars funneled directly through AI campaigns will rise to over a quarter of total U.S. ad spend by the end of the decade.
Key takeaway: Efficiency gains are accelerating overall budget deployment into automated channels, making proper measurement and conversion signal inputs critical to preventing wasted spend.
Google gives its open-source attribution tool an agentic brain
Google released updates to its open-source Marketing Mix Model (MMM), Meridian, adding agentic AI features to help teams audit data quality and resolve errors in real time. The tool can now incorporate upper-funnel brand signals (such as Branded Google Query Volume, TV, and OOH) to better prove how top-of-funnel investments drive downstream conversions.
Key takeaway: Moving from reactive reporting to real-time agentic auditing allows brands to connect upper-funnel brand equity directly to performance revenue.
Catch the Level team at upcoming virtual sessions and industry conferences:
Mastering the New Era of Search: How Brands Win Customers in an AI-Led Buyer Journey
Tomorrow, Thursday, Sept. 17, 1 PM ET · Virtual, hosted by Search Engine Land
Search Engine Land's Danny Goodwin hosts Level leaders Brad Stephenson, Stacey Heubeck, and Ernie DeCoite to share a single strategy spanning organic, paid, and AI search. With 51% of B2B buyers starting research inside AI chatbots, your search framework needs to address every discovery layer.
AI-powered media buying, put to the test (Virtual Insider Session with PubMatic)
Tuesday, Sept. 22, 1 PM ET · Virtual, 30 minutes plus a 15-minute live Q&A
Level's Ernie DeCoite and Anjlee Majmudar break down our live campaign experiment for American Career College. PubMatic's Harry Tong joins for a live Q&A to explain how agentic supply-side buying doubled qualified reach per dollar while cutting setup time to minutes. Plus, live attendees get entered to win Apple AirPods Pro 3.
Oct. 13 to 15 · Huntington Convention Center, Cleveland, OH
Level is presenting and sponsoring at the Marketing AI Institute's annual conference in Cleveland. Hear keynotes from Andrew Yang, Karen Hao, Kevin Roose, and Paul Roetzer, and connect with our team on the expo floor. Use code LEVEL200 to save $200 on conference registration.
Digital Marketing for Financial Services New York Summit
Oct. 28 to 29 · New York Hilton Midtown, New York, NY
Level is presenting at the 13th annual DMFS summit, bringing together digital strategy leaders across banking, insurance, and wealth management. Join sessions featuring marketing executives from MetLife, JPMorgan Chase, and US Mortgage Corporation.
YouTube’s Culture & Trends team partnered with NRG on new research analyzing how online video consumption is redefining mainstream culture.
Mainstream is no longer a top-down broadcast measure of pure scale. Instead, it is a bottom-up progression shaped by three specific signals: visibility, comprehension, and participation.
Digital entities like YouTube creators (77%) and memes (78%) are now rated as widely known as traditional benchmarks like Hollywood celebrities (79%) and the Super Bowl (83%). Audiences no longer evaluate media passively.
70% of 14- to 44-year-olds describe themselves as content creators. 60% of fans feel a sense of personal pride when a creator or interest they follow achieves broader commercial success.
For growth leaders, this structural shift changes how brand equity and creative scale are built. Broad-reach top-of-funnel campaigns designed for generic appeal are increasingly ignored because they lack context.
Instead of relying solely on broad distribution to buy awareness, high-performing growth programs focus on niche-first entry points. Seeding messaging within participatory communities where shared understanding already exists allows audience participation to drive wider cultural breakthrough.
The expansion of "Click-to-Chat" as user journeys shift away from your website
OpenAI is testing new ChatGPT ads that send people into a chat conversation instead of sending them to your website.
Instead of landing on your page, a prospective customer talks directly to an AI assistant inside ChatGPT. They can ask questions, compare products, and buy right there in the chat.
This follows similar moves like Google for Business Agents and Meta Business Agent. All of these tools turn chat interfaces into places where people buy products without leaving the app.
The takeaway for marketing leaders is simple: the distance between a buyer and your website is getting wider. People are taking far more steps inside AI platforms before they ever click through to your domain.
That makes brand consistency outside your website much more important.
If an AI chatbot is answering questions about your product before a customer ever sees your homepage, your product info and brand messaging need to be clear and accurate across every index the AI reads.
OpenAI has officially unveiled GPT-6 Astra, introducing its next-generation multimodal capabilities designed for advanced reasoning, real-time agentic execution, and complex workflow automation. For growth and marketing teams, Astra provides a leap forward in processing long-context data streams, automating routine technical analysis, and coordinating multi-step campaign execution through natural language interfaces.
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