82 Percent of Marketers Use AI Tools and the Savvy Ones Are Pulling Ahead

According to Emplifi's 2026 State of Social Media Marketing report, 82 percent of marketers say AI tools have improved their productivity, but only 35 percent describe those gains as significant. The gap between adopting AI and actually getting faster is where the real opportunity sits, and the teams that have figured out the difference are pulling noticeably ahead.

Key facts at a glance

• 82 percent of marketers say AI has improved their productivity, according to Emplifi's 2026 report
• Only 35 percent describe those productivity gains as significant, while 47 percent call them moderate
• The most common AI use cases are content drafting, image generation, and scheduling
• Teams that pair AI creation tools with a dedicated scheduling platform report the strongest time savings
• 92 percent of consumers still trust user-generated content over brand-produced material

What the Emplifi 2026 Report Says About AI Adoption Among Marketing Teams

The 82 percent figure covers a broad range of behaviors. Some teams are using ChatGPT to draft captions. Others are generating images with Canva's AI features. A smaller group is using AI for analytics, audience segmentation, and content performance prediction. The report breaks adoption into tiers, and the pattern is clear. Teams that use AI for a single task, like caption writing, report modest time savings. Teams that layer AI across multiple stages of their workflow, from ideation through publishing, are the ones reporting meaningful gains.

Most teams are still in the early stages of integration, using AI as a standalone helper rather than wiring it into their production pipeline. The ceiling is still high for teams willing to be deliberate about where AI fits in.

Which AI Tools Are Delivering Real Time Savings for Social Media Teams

Not all AI tools save the same amount of time, and the differences often come down to where in the workflow they sit. Tools that handle repetitive, high-volume tasks tend to deliver the clearest returns.

• AI image generation (Canva, Storrito's built-in AI image tool, Adobe Firefly). These tools cut visual asset production from hours to minutes, especially for teams that need daily Stories or post visuals without a dedicated designer.
• AI caption and copy drafting (ChatGPT, Jasper, Copy.ai). Useful for generating first drafts and variations, though most teams still edit the output before publishing.
• AI-assisted scheduling and timing (Buffer's Smart Scheduling, Storrito's scheduling with AI-generated visuals). Pairing AI-created content with automated publishing removes the manual handoff between creation and posting.
• AI analytics and reporting (Metricool, Sprout Social). Automated insight summaries save time on weekly reporting, though the quality varies by platform.

AI tools deliver the most value when they replace a manual step that happens every day, not when they replace a task that only happens once a week.

What Savvy Teams Do Differently When They Add AI to Their Workflow

The 35 percent of teams that report strong productivity gains share a few habits. They tend to pick two or three AI tools and integrate them deeply rather than trying five or six loosely. They build templates and reusable prompts so each new piece of content does not start from scratch. And they pair AI creation with a scheduling layer, so that content generated by AI moves directly into a publishing queue without a manual copy-paste step in between.

A common setup that works well is using an AI image generator to create Story visuals, then scheduling those Stories through Storrito so the entire sequence, creation through publishing, happens without switching between apps. Teams doing this report that their Story production time drops by roughly half, because the two slowest parts of the process (making the visual and remembering to post it) are both handled.

Savvy teams also set clear boundaries. They use AI for volume and speed, but they keep the editorial voice human. The Emplifi report aligns with broader consumer research showing that 92 percent of people still trust user-generated and authentically human content over polished brand material. AI that helps you produce more content is only useful if the content still sounds like your team wrote it.

How AI Creation Tools and Scheduling Platforms Work Better Together

Most of the time lost in social media workflows happens between creation and scheduling. A team generates a batch of Story visuals using AI, exports them, uploads them to a scheduling tool, sets the times, and publishes. Each handoff introduces delay, context switching, and the chance that something gets lost.

The teams closing the adoption-to-productivity gap tend to use tools that keep creation and scheduling in the same environment. Storrito's built-in AI image generation, for example, lets you create a Story visual and schedule it for publishing without leaving the editor. That removes the export-upload-schedule chain entirely. The same principle applies to any pairing where the creation tool feeds directly into the publishing tool, whether that is Canva's content planner or Buffer's in-app composer.

What this means in practice

AI adoption in social media marketing is not the hard part anymore. Almost everyone has adopted one or more tools. The differentiator is how tightly that AI is wired into the daily workflow, and whether the output moves to publishing without manual friction. If your team is using AI but still spending time exporting, reformatting, and uploading, the gap between you and the 35 percent who are seeing real gains is probably one or two integration steps, not a different set of tools.