AI and Executional Challenges
To adopt AI or not to adopt AI? That is the question plaguing the minds of today’s business leaders. For as much as there is opportunity in implementing AI in the workplace, there are just as many risk factors and executional issues that can arise. But what are the biggest challenges facing business decision makers (BDMs) in their pursuit of AI? Let’s take a look at some of the findings from the AI Adoption Index.
Technical Issues
Implementing any new form of technology or data processing can be a pain point for businesses, let alone implementing something ever-changing and multifaceted as AI. According to data from the AI Adoption Index, 1 in 3 of today’s BDMs reported skills gaps, data privacy, and integration with pre existing systems as the top technical challenges when approaching AI. Two other notable issues that were heavily reported were high costs and lack of data quality.
Workplace Issues
Integrating AI into one’s business doesn’t just start and stop with the top decision makers; it’s a choice that trickles down throughout the entire organization, leaving impact on multiple levels. Therefore, it’s no surprise that today’s BDMs reported several roadblocks to successful AI deployment, including: employee resistance to change (30%), lack of technical expertise around AI (29%), inability to align AI with business goals (28%), and budget constraints (25%).
Data Misuse and Information Issues
In addition to AI being difficult to integrate organically, there are also larger concerns with security, misinformation, and lack of responsible regulation. These concerns are not limited to the AI that today’s business leaders would seek to employ, but are concerns amongst all AI systems at large. Due to its constantly-evolving nature, AI has had several missteps that have BDMs alarmed–as these issues could lead to negative public and legal ramifications for their companies.
In fact, over 1 in 3 large-scale BDMs are concerned about data privacy in the face of AI. What’s more, over 30% of BDMs also say they worry about security risks like hacking and data manipulation as well as unethical usage of AI within their companies.
Job Replacement Fears
Subject matter experts often seem divided on whether certain roles or industries may face job replacement issues in the face of AI. Industries that particularly rely heavily on routine and task delegation seem to be the most at risk. And though there are positives and negatives to this debate, there is still a lot of uncertainty in job security as a result.
Surveyed BDMs in the AI Adoption Index also seem to be torn on this issue. 3 in 10 BDMs believe that AI will replace either part or their entire role within the next 10 years, and only 44% believe that AI will create new jobs as it develops.
Overall, the reported challenges and fears that BDMs face in deploying AI are grounded in unknowns, from potential security risks to job replacement. Most of this is due to lack of proper regulation and understanding thanks to the unprecedented rates of AI development–but these fears also pose an interesting opportunity: what if business leaders could manage to get ahead of AI before the next big thing is unveiled? It is this proposition that led to the creation of HumanX: the most important AI event for business leaders in 2025.
Designed to equip attendees with the necessary tools, knowledge, and curated strategies to help their businesses successfully implement AI, HumanX is slated to inspire and empower the next wave of organizational AI. Through sessions led by today’s top AI experts and thought leaders, hands-on demos, and live Q&As, attendees can access solutions directly from the source. To learn more about this unparalleled event, or to discover how you can benefit from attending, visit https://www.humanx.co/. Together, we can dispel our fears of the unknown and utilize AI the way we’re meant to.