Sociality.io (2026) — AI in Social Media Marketing Workflows

Summary:

This report looks at how social media marketers use AI day to day: where it helps most, how much output gets edited, whether results improve, and where budgets may go next.

Published by Sociality.io, it draws on a small survey of agency, in-house, and freelance marketers. The report lists role mix and company size, but not the total sample size, fieldwork dates, recruitment method, or representativeness. Percentages imply ~39 respondents overall (34–38 per question), so results should be read with caution. Most named quotes come from Turkey, where Sociality.io is based.

Key findings:

• AI use is routine: 89.7% use it daily or several times a week (64.1% daily; 25.6% several times weekly).
• Tool use is mixed: 41% use two AI tool types; 12.8% use five. Chatbots lead (69.2%), followed by visual AI (59%).
• Top use cases: ideation/trend research (59.5%) and analytics/reporting (59.5%), then caption/copywriting (45.9%) and visual/video creation (40.5%).
• Most output is still edited: 43.2% do moderate editing; 35.1% extensive. (No “publish unedited” option.)
• AI’s share of published content varies: 30.8% say AI touches 1–25% of posts; 17.9% say 76–100%.

Benefits are mainly about speed: time savings (71.1%), creating more content faster (47.4%), automating repetitive tasks (36.8%), faster reporting/insights (23.7%), and improved analytics accuracy (15.8%). (Multi-select.)

Performance: 44.7% say AI-assisted content performs better; 18.4% about the same; 5.3% worse; 31.6% haven’t compared.

Top concerns: originality/plagiarism (61.1%), accuracy/reliability (50%), consistent brand voice (30.6%), and transparency (19.4%). Main barriers to wider use: hallucinations/data accuracy (50%), prompt skills (35.3%), governance/compliance (26.5%), and team training (14.7%).

Outlook: 61.5% expect AI budgets to rise in 2026; 17.9% expect no change; 17.9% aren’t sure; 2.6% expect a decrease.