This month's AI Brief is brought to you by AI Digital, the AI-native media consultancy.

Think back to around 10 years ago. You're at an agency. Voice assistants are all the rage, and they're about to transform work, shopping, and maybe every other facet of life. (Narrator: They won't.) 

Do you build a voice platform yourself? Do you have a scrappy development shop create an Alexa app for your agency? Do you pick one of the myriad voice app vendors that sprang up and plug your data into it?

Publicis Groupe’s play was launching its voice system Marcel, making it a rare example of a marketer good at marketing itself. The company has since imbued Marcel with generative AI superpowers, as it managed to ride out a fad until it became a trend. Bien joué, Publicis!

Now, the build-or-buy math has changed. Find a team member reasonably savvy with AI — a colleague who may be on your marketing or sales or account management team (it doesn’t have to be someone in tech), give 'em a little time and even less budget, and they'll see what they can hack together.

Why not at least give building a shot?

The challenge with these home-grown apps is that as it gets easier to build them, maintaining them becomes the real investment, and since so much of the maintenance is measured in hours rather than dollars, it's harder to keep track of the true cost. 

One of the best articulators of this shift is from Box CEO Aaron Levie who was just interviewed by Platformer's Casey Newton.

Levie laid out one of my all-time favorite metaphors I've read, in part because it's based on one of my all-time favorite books. He told Newton, "You're like, 'Oh, I'm going to tell AI to write this little web app.' Then you're like, 'Well, I built it. Now I've got to add this other feature. I should probably get it hosted somewhere. I might need to change this one thing.' It's basically If You Give a Mouse a Cookie applied to the economy. You just start building up more and more work."

I feel seen. My GoDaddy bill keeps climbing with all these domains I'm buying to connect to projects I'm tinkering with. Sometimes it's coming from a place of, "Can I build something better than what's out there?" But sometimes it's just wondering if I could build something at all. Very quickly, you can wind up with a whole portfolio of apps, and someone has to keep adapting them and making sure they still work. Complexity compounds.

That's not a knock against building. It’s just that the easier building gets, the harder it is to keep track of maintenance.

Now, add agents into the mix to help with the maintenance and grow the app’s footprint. You very quickly can wind up with a swarm of agents where you have no idea what they're doing. I know this first-hand; I had to built an extra nerve center so I could find out what my agents actually did all day, and which ones took a never-ending smoke break. (If you code with Lovable, let me know, and I'll get you your own instance.) 

Presumably, we can keep building agents to manage the agents, and then we have to ask what we even built anymore and why we built it. Paying a monthly SaaS fee for something off the shelf starts to seem more palatable.

We now have the opportunity to build at scale — but here “scale” refers to how building can be scaled across everyone in an organization, or across every single small business. It’s not about the scale of the product. It’s about the scale of the people.

But reread If You Give a Mouse a Cookie if you have to. Once you give the mouse the cookie, then you need the glass of milk, and the next thing you know, that mouse is gonna be begging you to top up his AI credits.

— David Berkowitz, Chief Community Officer, Marketecture Media

Who: Media Buyers, Streaming Advertisers, Performance Marketers, Agencies, Entertainment Brands

What: Netflix is rolling out AI tools that help brands plan, optimize, and even autonomously buy ads on the platform. Another tool reformats creative assets for vertical video, pause ads, and other placements without requiring new production work.

Why it matters: Streaming ad platforms are becoming self-serve AI media machines. Expect more automation around planning, creative adaptation, and optimization, especially for teams stretched thin.

(ADWEEK)

Who: CMOs, Brand Strategists, Retail Executives, Tech Analysts

What: Google has reclaimed the top spot as the world’s most valuable brand, ending Apple’s multi-year streak. The shift is attributed to Google’s successful integration of generative AI across its ecosystem, while newcomers like Claude (Anthropic) and ChatGPT saw stratospheric rises into the top tiers. Meanwhile, Zara led a retail resurgence, leveraging AI-driven supply chain speed to cement its position as a global fashion powerhouse.

Why it matters: The AI premium is now the primary driver of brand equity; for the first time since the smartphone era, the leaderboard is being rewritten by how effectively brands serve non-human consumers.

(MediaPost)

Who: CMOs, TV Advertisers, Media Agencies, Attribution Teams, Brand Marketers

What: At this year’s upfront presentations, marketers pushed media companies for better measurement, flexibility, and AI-enabled attribution tools. Advertisers are increasingly demanding proof that campaigns drive business outcomes across platforms.

Why it matters: AI is raising expectations for measurable marketing performance everywhere, including traditional media buys. “Trust us” metrics are fading fast.

(Business Insider)

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