October 28, 2025
Artificial intelligence has officially moved from experimental to essential in influencer marketing. What was once a set of disconnected tools is now becoming an integrated operating system, an intelligent layer that connects creators, brands, and performance data in real time. This transformation defines the next era of marketing automation, one that does not just execute tasks faster but thinks strategically about how influence drives measurable business outcomes.
Recent studies from Later and Influencer Marketing Hub confirm this shift. According to Later, 77% of brands report better campaign performance when using AI-assisted influencer marketing, with over a third seeing much better results in engagement, targeting, and ROI. The Influencer Marketing Hub benchmark found that almost half of all marketers now apply AI technology in their influencer campaigns, and 36% report significant performance improvements. The message is clear. AI is no longer optional. It is the engine that powers modern influence.
For brands, the next challenge is not whether to use AI but how to organize it. This is where the concept of an AI-powered influencer operating system emerges.
Traditional influencer marketing platforms were built for workflow management, finding creators, sending briefs, collecting posts, and tracking engagement. These systems made influencer programs scalable, but they were still reactive. Data was fragmented across spreadsheets, screenshots, and campaign reports. AI changes that dynamic completely.
An AI-powered influencer OS acts as the brain of marketing automation. It connects data streams from every corner of the creator economy, including Shopify transactions, Phyllo API metrics, content performance, and campaign budgets, to deliver continuous intelligence. Instead of simply tracking actions, it learns from them, optimizing creator selection, content strategy, and payment flows automatically.
For example, AI can predict which creators are most likely to drive conversions based on real sales data rather than follower count. It can identify audience overlaps across TikTok, Instagram, and YouTube, helping brands design cross-platform campaigns that reach the right consumers with precision. This is automation with context, the foundation of intelligent marketing.
The Later study shows that brands using AI are achieving not just operational efficiency but measurable financial impact.
These improvements stem from AI’s ability to unify data, reduce manual work, and make faster strategic decisions. In practice, this means influencer programs no longer rely on guesswork or vanity metrics. Instead, they are guided by real-time attribution, tracking clicks, conversions, and revenue directly back to creator activity.
This data intelligence transforms influencer marketing from a creative channel into a performance engine.

Automation alone can scale processes, but without intelligence, it risks creating noise instead of clarity. An influencer OS with AI at the center adds cognitive capability to automation. It transforms platforms from task executors into decision-makers.
The Influencer Marketing Hub benchmark underscores this need. Forty-six percent of marketers now prioritize AI-driven content generation, and 41% seek better predictive analytics to forecast campaign performance. These numbers show a growing desire for marketing systems that think, not just act.
When automation gains a brain, influencer marketing becomes proactive rather than reactive. Campaigns adapt in real time, budgets optimize themselves based on ROI, and creators are matched to brands through predictive scoring models. AI also identifies authenticity signals in content, allowing brands to balance automation with trust, which is the key to sustained influence.
At nowfluence, AI is not an add-on feature. It is the operating system itself. Through direct Shopify integration, verified data via Phyllo, and automated escrow payments through PayPal and Stripe, nowfluence enables brands to manage, measure, and pay creators in a single intelligent environment.
Every campaign action, from creator discovery to transaction, is captured, analyzed, and optimized by AI. Brands can finally connect creator influence to business performance, tracking ROI in real time and scaling partnerships with confidence.
The future of marketing automation belongs to systems that can think. In this future, the brands that win will be the ones that give their automation a brain.
Want to discuss insights from this study? Reach out to our research team.