AI in the Toy Industry: Adoption, Application, and Anxiety | 2026 Professional Survey Report by The Toy Coach® Inc.
Industry Trends Report | 2026
A professional survey examining how toy industry practitioners are using artificial intelligence today, and where the biggest gaps, concerns, and unmet opportunities still live.
Executive Summary
AI adoption among toy industry professionals is real, widespread, and accelerating. But it is happening without formal training, consistent company policy, or full confidence in the outputs. The majority of practitioners are using AI tools regularly, yet most rely on tools they personally pay for, have received no formal instruction, and carry significant concern about confidentiality and IP ownership. The result is an industry at an inflection point: highly engaged, but largely unsupported.
This report presents findings from a survey of toy industry professionals conducted by The Toy Coach® Inc. in 2026. Respondents span independent inventors, product developers, agency consultants, and company leadership, reflecting the full range of roles through which AI is entering the toy ecosystem.
Section 1 | Who Responded
The sample reflects the indie-heavy reality of the toy world
The survey skewed toward smaller organizations and independent practitioners, which tracks with the compositional reality of the toy industry's creator and inventor pipeline.
Section 2 | Adoption and Frequency
73% of respondents use AI tools daily or several times per week
When The Toy Coach® Inc. asked how often professionals use AI tools for work, the results were clear: most toy people are already in the habit.
Despite heavy usage rates, 20% of respondents say they never or rarely use AI tools. That is a meaningful segment, and it suggests adoption is not yet universal, even among professionals engaged enough to participate in a survey like this one.
Section 3 | Perceived Value
More than half rate AI as highly valuable to their workflow
Respondents were asked to rate the value of AI tools in their professional workflow on a scale of 1 (not valuable) to 5 (extremely valuable).
A majority of respondents find AI genuinely valuable. But the 20% who rate it 1 or 2 out of 5 are worth paying attention to. Many of these respondents still use AI tools despite low perceived value, suggesting a pragmatic "try it and see" attitude rather than outright skepticism.
Section 4 | What Professionals Are Using AI For
Research and brainstorming lead by a wide margin
Respondents selected all use cases that applied to their work. The results show a clear hierarchy, with early-stage and exploratory tasks dominating, while higher-stakes applications are gaining ground.
The concentration of use in research and brainstorming makes sense. These are early-stage tasks where AI errors are easier to absorb. The growing usage in product development (51%) and pitch materials (42%) suggests the industry is beginning to move AI into higher-stakes output territory, even as concerns about accuracy remain significant.
Section 5 | Tools in Use
ChatGPT has near-monopoly status in the toy industry
ChatGPT was named by 86% of respondents as a tool they use, far ahead of Gemini at 36%. Critically, many respondents noted they are personally funding their AI subscriptions. Their companies neither pay for nor formally endorse the tools being used most. This creates real risk exposure around data handling and policy compliance that many organizations may not have considered yet.
Section 6 | Risk and Concern
Confidentiality and IP are the top worries. Team pushback? Not so much.
Respondents rated their concern across seven risk dimensions on a five-point scale from "not concerned" to "extremely concerned." External risks register as high to moderate, while internal friction risks are largely dismissed.
Section 7 | Company AI Policy
AI is encouraged at most companies, but without much structure behind it
66% of respondents work in environments where AI use is encouraged. But the most common version of that encouragement is "vague guidelines," which mirrors the broader industry pattern of enthusiasm without infrastructure. Only 3% say AI is not allowed at all.
Section 8 | Perceived Benefits
Time savings lead, but a real group still hasn't found the payoff
When asked about the single biggest benefit of AI to their work, respondents showed strong consensus around efficiency and creative support. Still, 14% said they haven't gotten much benefit yet.
Section 9 | Where AI Falls Short
A consistent taxonomy of frustration is emerging across the toy industry
Respondents were asked to describe a time AI failed to deliver what they needed. The open-ended answers reveal a repeating set of failure modes, most of which carry specific costs in the toy development context.
The image generation issue is particularly costly in the toy industry. Correct part count, accurate proportions, and age-appropriate representations are often non-negotiable for pitch and licensing materials. Multiple respondents described hitting a quality ceiling with AI image generation before human intervention became necessary.
Section 10 | The Unmet Opportunity
What toy professionals wish AI could already do perfectly
The "one perfect AI task" prompt produced the clearest window into unmet demand. When toy people are dreaming out loud, these themes keep coming up.
Section 11 | AI in Products and Training
Most companies are not yet embedding AI into products, and almost no one is getting trained
Is your company integrating AI into toy or game products?
Formal AI training in the past 12 months?
Only 5% of respondents received company-funded AI training in the past 12 months. The majority, 56%, report no formal training at all. Of those who did get some instruction, free self-directed resources like YouTube tutorials and webinars were the most common pathway. AI skill development in the toy industry is individually driven, not institutionally supported.
Key Takeaways