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What game developers actually think about AI

  • Writer: Álvaro Ruiz
    Álvaro Ruiz
  • Feb 25
  • 4 min read

Updated: Feb 26

The games industry has faced significant turbulence in recent years, marked by widespread layoffs, reduced investment, and declining market confidence. Earlier this month, Google’s Project Genie announcement triggered a sharp drop in several major game stocks, including Unity, Roblox, and Take-Two, further highlighting the broader uncertainty surrounding the industry’s direction.


Against this backdrop, AI has emerged as both a widely adopted tool and a highly contested topic. Player communities have pushed back visibly; review-bombing titles suspected of using AI-generated art, criticising Ubisoft’s AI-powered NPC system, and prompting Valve to update Steam’s policies to require developers to disclose AI-generated content following sustained community pressure. In some cases, studios have even cancelled projects and publicly committed to avoiding AI altogether.


76% of professional game developers are currently using AI to assist with coding or generate creative assets

Despite this backlash, the data shows that AI adoption is already mainstream among game developers. According to our Q3 2025 survey with more than 2,000 game developers, 66% are currently using AI to assist with coding or generate creative assets. Among professional game developers, that figure rises to 76%. In this blog post, we’ll explore how game developers perceive AI’s impact across several key dimensions.


The full findings, along with insights into the platforms developers target, the engines they use, or the types of games they build, are available in The State of Game Development 2025 report.


AI accelerates game production and might help indies rival big studios, but raises alarms over shrinking career opportunities

So how do game developers themselves evaluate AI’s impact? Beyond public backlash, our data reveals a more nuanced perspective from within the industry. The most widely shared perception is that AI accelerates the game development process. Over two-thirds (68%) of game developers agree with this statement, highlighting how AI is reducing friction from concept to execution. This highlights AI’s role in accelerating coding workflows (e.g. boilerplate code, debugging, and troubleshooting), as well as in enabling faster prototyping and iteration for assets.


68% of game developers agree that AI accelerates the game development procecss.

A closely related finding is that 62% of game developers believe AI will make it easier for indie developers and smaller studios to compete with large publishers. However, indie developers themselves are the least convinced. Only 58% agree, compared to over 70% of those working for publishers or large studios. Indie developers might recognise that while AI can amplify their capabilities, it also scales the advantages of well-resourced studios, enabling them to produce more content, iterate faster, and optimise performance at greater scale. Moreover, many indie game developers might face their biggest challenges in areas like distribution, visibility, and marketing, which remain largely beyond AI’s scope.


When it comes to career opportunities, just over half (55%) of game developers believe that AI will reduce the number of roles and opportunities available in the industry. This concern sits within a broader context of instability across the tech sector, one that has disproportionally affected games. The relationship between AI adoption and employment uncertainty remains a debate. On the one hand, AI can augment productivity and create demand for new hybrid skill sets. On the other hand, it risks displacing entry-level responsibilities, as automation absorbs many of the structured, repetitive tasks that once served as gateways for junior developers.


As seen in the Stanford Digital Economy study, for jobs with high AI exposure, such as IT and software engineering, employment has been steadily declining for early-career professionals while increasing for the more seasoned ones. If this pattern extends to game development, the industry may face a structural challenge: fewer entry points for newcomers, combined with growing demand for senior talent to oversee, integrate, and validate AI systems.


68% of developers say AI accelerates the game development process

Game developers believe AI enhances player experience, while noting bugs and creativity risks

Despite the backlash from some players towards games that use AI, 62% of game developers believe that integrating AI improves the overall player experience. From adaptive difficulty systems and more responsive AI-powered NPCs to personalised storylines and dynamic environments, AI is viewed as a tool that can potentially enable richer, more immersive, and more reactive gameplay. However, confidence is lower among developers in creative roles (art, asset production, audio), where 56% agree.


Concerns about originality further illustrate this divide. Overall, 52% of game developers believe AI poses a threat to creative originality, rising to 59% among those involved in creative activities. Many of these creative practitioners might fear that AI-generated content, trained on similar datasets and optimised for popular aesthetics, leads to homogenised content that prioritises speed and scale over originality, making games feel increasingly alike. For many game developers, the drive for efficiency risks dulling the diversity and individuality that define great games if AI is adopted without strong creative direction.


There are also technical reservations. Although most developers acknowledge AI’s productivity benefits, 53% agree it increases the risk of bugs or unpredictable behaviour in games. Unlike traditional rule-based systems, AI models can behave in ways that are difficult to fully anticipate, test, or reproduce. This unpredictability can lead to broken dialogue trees, erratic NPC behaviour, balance issues, or edge-case logic loops that only emerge under specific player interactions. As a result, while AI can enhance immersion, it can also introduce new layers of systemic complexity that demand stronger oversight, validation processes, and design safeguards.


62% developers say integrating AI in games improves the overall player experience

Taken together, the findings in this blog post suggest that AI adoption in the game development industry is widely perceived as beneficial, but not without meaningful trade-offs. While AI is transforming workflows and accelerating production, it also raises concerns about shrinking career opportunities, creative homogenisation, and technical unpredictability. Ultimately, AI’s role in game development will be shaped not only by what the technology makes possible, but by the strategic decisions developers make about how, and how far, to integrate it.


Dive deeper into the game development world. Explore what is shaping the industry with the help of our analysts and 20+ years of software development data. Book a call with Natasa and Petro.


About the author

Alvaro Ruiz Cubero, Research Manager, SlashData


​Álvaro is a market research analyst with a background in strategy and operations consulting. He holds a Master’s in Business Management and believes in the power of data-driven decision-making. Álvaro is passionate about helping businesses tackle complex strategic business challenges and make strategic decisions that are backed by thorough research and analysis.



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