Bot Traffic Is Up. Gen Z Trust Is Down. The Platforms Keep Moving On.

Welcome to Unprompted: The AI Marketing Brief, where I cut through the noise in AI news and research to show marketers what’s happening — and why it matters for your work, your team and your career. 

Something is shifting on the other side of the screen. The people you're marketing to are changing how they find information, what they trust and how they feel about the tools doing the finding — and most marketing teams haven't caught up. 

Bots now outpace humans in internet traffic, which means a significant share of your content's "audience" was never a person to begin with. Gen Z — your next wave of buyers and decision-makers — is angrier about AI than they were a year ago. Not more skeptical. Angrier. Three times more likely to say the risks outweigh the benefits. And that's among the ones who use it every day. 

The platforms, meanwhile, are not slowing down. Google, Microsoft, and Shopify all have major updates in this edition, each one moving AI deeper into the tools your team and your audience already use. The capability is accelerating. The trust isn't keeping up. This edition covers both. 

Introducing Tinker: Play with AI, Bring Your Ideas to Life  

Website: Shopify  

Just the Facts: Shopify has launched Tinker, a free mobile app for iOS and Android that aggregates 100+ specialized AI tools for creating images, videos, logos, product photography and more — drawing on models from providers including OpenAI, Google and Anthropic — without requiring prompt expertise or separate subscriptions. Tools are organized by creative outcome rather than by model or provider, with Shopify handling complex background prompting based on simple user inputs, and the app uses context from prior creations to maintain visual and brand consistency across sessions. The announcement frames Tinker as an early-stage entrepreneurship tool, citing two merchant case studies in which the app reduced or eliminated the cost and time barrier of professional product photography and brand asset creation. 

Why It Matters to Marketers: 

• B2B marketers serving SMB audiences or competing against bootstrapped brands should expect the visual quality gap between resourced and under-resourced teams to compress significantly — and quickly.
• Rather than adopting tools one by one, users increasingly expect a single environment that abstracts model selection and prompt complexity. Content and martech stack managers should evaluate whether their current tooling strategy will hold as this consolidation accelerates.
• Tinker's use of session context to maintain visual continuity addresses a real workflow pain point for marketers. Teams still stitching together outputs from disconnected tools should note this as a signal of where the category is heading.  

AI and Bots Have Officially Taken Over the Internet, Report Finds  

Author: Lola Murti  

Website: CNBC 

Just the Facts: Human Security's State of AI Traffic report found that automated traffic — defined as internet traffic generated by software systems including AI rather than human users — grew almost eight times faster than human activity in 2025, with AI-driven traffic increasing 187% from January to December of that year, driven in large part by the proliferation of large language models including ChatGPT, Claude and Gemini. Agentic traffic from AI agents like OpenClaw, which perform actions autonomously on behalf of users, grew nearly 8,000% in 2025 over the prior year, though 2024 agentic volume was extremely low. The report, based on Human Security's Defense Platform processing over one quadrillion interactions, acknowledges methodological limitations — including reliance on user-agent strings, which the report itself flags as a growing reliability concern — and an Indiana University professor quoted in the article cautioned that such estimates are "noisy" and highly dependent on data source. 

Why It Matters to Marketers: 

• If automated traffic has already surpassed human activity in volume, session counts, page views and raw traffic metrics are increasingly unreliable proxies for audience engagement. Marketing ops teams should audit how bot traffic is filtered in their analytics and attribution stacks now.
• As AI agents autonomously research, compare, and act on behalf of users, B2B marketers must consider whether their content and web properties are structured to be legible and retrievable by machines, not just humans. This is a near-term content strategy and SEO implication. 
• As ad tech and analytics platforms report on reach and impressions, the signal-to-noise problem described in the article applies directly to paid media accountability. Demand gen teams should pressure-test bot filtering practices with media vendors before drawing performance conclusions. 

Copilot Cowork: Now Available in Frontier  

Author: Jared Spataro  

Website: Microsoft 365 Blog 

Just the Facts: Microsoft announced that Copilot Cowork — designed for long-running, multi-step work in Microsoft 365 and built on the technology platform that powers Claude Cowork — is now available through its early access Frontier program, enabling users to describe a desired outcome and have Copilot create a plan, reason across tools and files, and carry work forward with visible progress tracking and human steering opportunities. The announcement also includes new capabilities for Researcher, Microsoft's deep research feature, including a Critique function that uses models from both Anthropic and OpenAI — one to draft, one to evaluate — resulting in a reported 13.8% improvement on the DRACO benchmark for deep research accuracy, completeness and objectivity. A new Model Council feature within Researcher allows users to compare responses from different AI models side by side, showing where they agree, diverge and what each uniquely contributes. 

Why It Matters to Marketers: 

• The Capital Group quote in the article is explicit: this is about connecting steps and following through across workflows, not generating answers. Marketing teams should begin mapping which repeatable processes — campaign reporting, budget reviews, briefing cycles — are candidates for delegation.  
• As AI capabilities from competing labs get bundled into productivity suites enterprises already own, the business case for standalone AI writing and research tools weakens — marketing ops leaders should factor this into upcoming contract renewals and tool rationalization reviews.
• Unlike opaque automation, Cowork's explicit human checkpoints in multi-step workflows provide an accountability model suited to marketing tasks with legal, brand, or compliance sensitivity — such as campaign approvals, budget execution, and external-facing deliverables. 

Try Notebooks in Gemini to Easily Keep Track of Projects  

Author: Rebecca Zapfel 

Website: Google — The Keyword 

Just the Facts: Google announced the introduction of Notebooks in Gemini — described as personal knowledge bases shared across Google products — which give users a dedicated space to organize chats, files and custom instructions for complex, longer-running projects, with Gemini drawing on those handpicked sources alongside its standard tools and web search to generate more relevant responses. Notebooks sync bidirectionally with NotebookLM, meaning any source added in one platform automatically appears in the other, allowing users to access features unique to each app — such as Video Overviews and Infographics in NotebookLM — even when work was started in Gemini. The feature is rolling out first to Google AI Ultra, Pro and Plus subscribers on the web, with expansion to mobile, additional European countries and free users planned in the coming weeks. 

Why It Matters to Marketers: 

• The ability to carry custom instructions, past chats and source files into a persistent project space means marketers can build cumulative research environments — for campaign planning, competitive analysis or content series — rather than reestablishing context with every new conversation.
• Marketers can ground Gemini's generative output in specific uploaded source material — a meaningful quality-control step that keeps AI responses tethered to vetted inputs rather than general training data.
• Persistent context, custom instructions, and file organization are becoming baseline infrastructure requirements, not premium differentiators. Marketers evaluating or renewing AI tool subscriptions should treat these capabilities as standard criteria. 

Gen Z's AI Adoption Steady, but Skepticism Climbs  

Author: Megan Brenan  

Website: Gallup 

Just the Facts: A probability-based web survey of 1,572 U.S. Gen Zers aged 14–29, conducted February 24–March 4, 2026 by Gallup, the Walton Family Foundation and GSV Ventures, found that 51% report using generative AI at least weekly — statistically unchanged from 2025 — while negative sentiment has intensified: excitement dropped 14 percentage points to 22%, hopefulness fell 9 points to 18%, and anger rose 9 points to 31%, with these declines occurring even among daily AI users. Confidence in AI's practical value also eroded, with agreement that AI helps complete work faster dropping 10 points to 56%, belief that it accelerates learning falling 7 points to 46%, and 80% of Gen Zers saying it is very or somewhat likely that using AI tools will make it harder for them to learn in the future. Employed Gen Zers are more than three times as likely to say the risks of AI in the workforce outweigh the benefits (48% vs. 15%), and place far more trust in fully human work (69%) than in AI-assisted work (28%) or work produced solely by AI (3%). 

Why It Matters to Marketers: 

• As Gen Z moves into buying roles and purchasing committees, B2B brands relying heavily on AI-generated content without transparency or human authorship signals may face increasing skepticism from this cohort — a risk that compounds as Gen Z's share of the professional workforce grows.  
• Gallup distinguishes between anxiety (steady at 42%) and anger (up 9 points to 31%), and the report ties that anger specifically to perceived threats to skill development and career readiness. Marketing organizations positioning AI as a workforce amplifier should anticipate that framing may land negatively with Gen Z audiences, including junior team members and early-career buyers.
• Weekly usage grew only 4 percentage points year-over-year among the generation most expected to drive AI adoption. The report's own conclusion — that building trust will require demonstrating how AI enhances rather than replaces human talent — offers B2B marketers a direct messaging brief for repositioning AI tools with this audience.