Creative Tech Byte - 01-12-26
The question I keep coming back to: what does “shopping” even mean when your AI assistant handles the entire journey from discovery to delivery?
January 12, 2026
I’ve been watching the AI shopping wars intensify this week, and something clicked: we’re not just seeing new tools anymore. We’re watching the entire checkout experience get reimagined in real-time. Google and Microsoft both made major moves, and they’re betting on the same thing—AI agents that don’t just recommend products, but actually buy them for you.
The question I keep coming back to: what does “shopping” even mean when your AI assistant handles the entire journey from discovery to delivery?
🤖 AI Reshapes Retail
Google’s New Shopping Protocol Could Change Everything
Google just introduced an open standard that lets AI shopping assistants work seamlessly across retailers—no custom integrations needed. Built with Shopify, Walmart, and Target, it’s designed to power direct purchases inside Google Search and Gemini using your stored payment info.
The real unlock: this isn’t about making shopping easier. It’s about making shopping invisible. When AI handles discovery, comparison, and checkout, the battleground shifts entirely to who controls the agent.
Microsoft Bets Big on Agentic Retail
Microsoft unveiled a full suite of AI agents for retail—from in-chat checkout with Copilot to brand agents that personalize the entire shopping journey. They’re targeting every link in the chain: merchandising, fulfillment, store operations.
What this means in practice: Microsoft is positioning itself as the infrastructure layer for AI-powered retail. If you’re building experiential commerce, this is the stack to watch.
📊 Marketing Trends to Watch
7 Digital Marketing Trends Shaping 2026
Short-form video continues to dominate attention. AR glasses and interactive experiences are becoming more common. Threads is growing as a real-time discussion hub while Reddit faces saturation. And here’s an interesting signal: AI-generated content may actually reduce sharing, and users are starting to demand algorithm opt-outs.
The throughline here: audiences are getting more skeptical of AI-generated content, and authenticity is becoming a competitive advantage again. If you’re building experiences, lean into the human elements that AI can’t replicate.
📺 Sports Marketing Goes Streaming
Streaming Widens the Sports Marketing Field
Streaming is expanding sports marketing reach by bringing in younger viewers and boosting engagement beyond linear TV. Traditional broadcasts still deliver scale—football drove a 20% lift in broadcast viewership and the Super Bowl reached 127M viewers—but streaming skews younger. On Tubi, 26.2% of Super Bowl viewers were 18 to 34.
Here’s the thing: sports documentaries are having a moment too, with viewing minutes rising from 4.7B in 2021 to 16.9B in 2024. If you’re thinking about experiential sports activations, the audience is fragmenting across platforms—which means more opportunities to reach niche segments.
🛠️ Cool Tools
Free n8n Course: Build AI Agents Without Code
A comprehensive course walking through how to build LLM workflows, low-autonomy AI agents, and fully autonomous agents from scratch using n8n. Covers use cases like competitor monitoring, chatbot assistants, inbox workers, and multi-agent research systems.
For creative technologists who want to automate workflows without diving into code, this is a great starting point. n8n is becoming the go-to platform for building AI-powered automations that actually work in production.
⚡ Quick Hits
Global AI Computing Capacity Doubles Every 7 Months — Total capacity from AI chips has grown ~3.3x per year since 2022. Nvidia accounts for over 60% of total compute.
Figma Config 2026 Lineup Announced — AI design workflows take center stage at this year’s conference. If you’re in design tools, this is the event to watch.
Google’s Universal Commerce Protocol Deep Dive — Technical breakdown of the open-source standard enabling AI-powered commerce across platforms.
a16z Raised $15B — That’s 18% of all US venture capital last year. Their thesis: AI and crypto are the architectures of the future.
Stripe Adds Crypto Checkout — Partnering with Crypto.com to let customers pay with cryptocurrency balances.
Use Multiple Models for Better AI Results — Problems with AI can often be solved by passing the same query to a peer model. Suggests models are close to solving many tasks, just not there yet.
📚 For the Deep Readers
The AI Revolution Is Here. Will the Economy Survive the Transition?
The man who predicted the 2008 crash, an Anthropic co-founder, and a leading AI podcaster debate whether AI is genuine transformation or historic misallocation of capital. They cover the infrastructure-to-application revenue gap, why enterprise AI adoption is actually falling, and what would change each of their minds. Worth the 20-minute read if you’re thinking seriously about where this is all heading.
Today’s throughline is clear: AI isn’t just a feature anymore—it’s becoming the interface. The companies that win will be the ones who figure out how to make that interface feel human, even when it’s doing the shopping, voting, and decision-making for us.
I’d love to hear what you’re seeing in your work. Are AI agents showing up in your projects yet? Reply and let me know.
Until tomorrow,
Macklin 👋