--- title: Don't invest in AI description: Don't invest in AI image: https://blog.cognitionhq.com/hubfs/christian-dubovan-gxsRL8B_ZqE-unsplash-scaled-e1615304890512-827x1024.jpg --- [![Cognition_logo_white_RGB-1](https://blog.cognitionhq.com/hs-fs/hubfs/Cognition_logo_white_RGB-1.png?width=225&height=76&name=Cognition_logo_white_RGB-1.png)](https://www.cognitionhq.com/) [Get in touch](https://www.cognitionhq.com/get-in-touch) ▼ ENG ESP POR - [Services](https://www.cognitionhq.com/#How%20we%20do%20it) - [Clients](https://blog.cognitionhq.com/case-studies) - [News](http://www.cognitionhq.com/content-hub) - [Careers](https://blog.cognitionhq.com/we-are-hiring/we-are-hiring) - [Who we are](http://www.cognitionhq.com/about-us) [Get in touch](https://www.cognitionhq.com/get-in-touch) ▼ ENG ESP POR # Don't invest in AI [Back to Blog](https://blog.cognitionhq.com/blog) by Katie Gibbs | 1 mins read Companies are leaping on the AI bandwagon, often just to show how innovative they are, with most organisations averaging 35 Machine Learning or AI projects by 2022\[1\].  Executives are conscious of falling behind, so are setting aside increasing budgets to run AI-led initiatives and hire AI resources. But it’s estimated that at least 85% of AI projects \[2\] fail, meaning that only 5 of those 35 projects are likely to succeed. When it comes to innovating with new technologies, there is a desire to fail fast and kill projects before you invest too much time and money into them, but this rate of failure is difficult to justify. The reason that most AI and ML projects fail is because there is no clear AI strategy to guide these projects to success. Companies are in such a rush to adopt AI for the sake of it, that they aren’t stopping to consider the role that AI can play futureproofing the business, where it will deliver ROI or how to engage employees in the AI journey to reduce any resistance. These critical success factors are being overlooked, leading to multiple, often random AI projects, which add little value and worse, often detract from the core mission of the  organisation. So before you leap into your next AI project(s), stop and cut the purse strings. You need to take a step back and understand the value proposition of any AI project and how it will contribute to or accelerate progress towards the organisation’s Northstar before you go any further. Only when you have a clear AI strategy can you start to overcome the odds and experience exponential success with AI. We work with organisations to quickly define their AI strategy and roadmap to reduce wasted investment in AI and make sure they’re in the 15% that succeed. Find out more about our AI services [HERE](https://www.cognitionhq.com/get-in-touch). Or get in touch to find out more. [\[1\]](https://blog.cognitionhq.com/blog/dont-invest-in-ai#_ftnref1) [https://www.techrepublic.com/article/why-companies-plan-to-double-ai-projects-in-the-next-year/](https://www.techrepublic.com/article/why-companies-plan-to-double-ai-projects-in-the-next-year/) [\[2\]](https://blog.cognitionhq.com/blog/dont-invest-in-ai#_ftnref2) Gartner ## Further Reading ### [Put the reactive chaos of 2020 behind you: it’s time for HR to get creative again](https://blog.cognitionhq.com/blog/put-the-reactive-chaos-of-2020-behind-you-its-time-for-hr-to-get-creative-again) [Read](https://blog.cognitionhq.com/blog/put-the-reactive-chaos-of-2020-behind-you-its-time-for-hr-to-get-creative-again) Joy Poole | 2 mins read 2020 was one of the most chaotic years on record for HR leaders. It was the year of firefighting, spinning plates and applying band-aid solutions wherever necessary. ### [A-level algorithm highlights the importance of human-centric AI](https://blog.cognitionhq.com/blog/a-level-algorithm-highlights-the-importance-of-human-centric-ai) [Read](https://blog.cognitionhq.com/blog/a-level-algorithm-highlights-the-importance-of-human-centric-ai) Katie Gibbs | 1 mins read Statistical models often feed on large-scale historical trends and reflect them in data patterns - in this case, the higher performance of typically wealthier schools. New research by UCL's Institute of Education found that 23% of comprehensive school students were under-predicted by the models compared with just 11% of . ### [Resilience perspectives post-2021: an Emergence report](https://blog.cognitionhq.com/blog/resilience-perspectives-post-2021-an-emergence-report) [Read](https://blog.cognitionhq.com/blog/resilience-perspectives-post-2021-an-emergence-report) Reports | 0 mins read As we welcome a new year, energised with the expectation of vaccines eradicating the threat of Covid-19 globally, it is worth looking back at the year and exploring how industries were affected by it and just how differently they responded. ### [Employee monitoring? Try engaging instead.](https://blog.cognitionhq.com/blog/employee-monitoring-try-engaging-instead) [Read](https://blog.cognitionhq.com/blog/employee-monitoring-try-engaging-instead) Katie Gibbs | 2 mins read The recent rise of powerful employee monitoring software gives employers unprecedented insight into the working patterns and strengths of their employees. Unfortunately, we’ve seen too many organisations embedding monitoring software without assessing its impact on the employee experience, instead viewing it as a means o. 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