AI in the Tech Industry: Developers’ Perception, Skepticism, and the Future of Hiring – A 2024 CoderPad Study

As technology advances at an exponential rate, the role of artificial intelligence (AI) in the field of software development has become a topic of significant debate. A recent report from CoderPad, titled “State of Tech Hiring 2024,” delves into the perceptions and attitudes of developers towards AI. With optimism and eagerness on one hand, and mistrust and resistance on the other, developers find themselves in a complex relationship with AI technology.

Developers’ Optimism and Eagerness towards AI

According to the CoderPad report, a considerable majority of developers (70%) believe that AI will have a positive impact on their workload. They firmly believe that AI has the potential to reduce their work burden, allowing them to focus on more creative and high-level tasks. Additionally, 60% of developers expressed their desire to incorporate AI more extensively into their day-to-day work. Their optimism stems from the benefits identified in AI-assisted tools, including code assistance, learning and tutorials, auto-completion, code generation, and documentation and API support.

Lack of Trust and Resistance towards AI

Despite the prevailing optimism, the report reveals that a significant portion of developers (29%) do not trust AI. This lack of trust reflects concerns about the reliability and efficiency of AI tools. Moreover, nearly 28% of developers reported that their employers are against the use of AI in their work, further hindering their acceptance and adoption of AI technology. This resistance to AI underscores the need for further education, awareness, and transparency surrounding the benefits and limitations of AI in software development.

Perception of AI as Cheating and Ethical Concerns

Interestingly, the report also highlights a surprising sentiment among developers. One-third of developers perceive the use of AI during interviews or technical tests as cheating, raising important ethical questions about the role of AI in hiring processes. This perception resonates with concerns regarding fairness and bias in AI algorithms used for candidate evaluation. As the industry continues to grapple with the ethical implications of AI incorporation, finding the right balance becomes crucial.

Survey Findings and Data

The credibility of the CoderPad report stems from its vast scope, which includes inputs from over 13,000 developers across 149 countries. This comprehensive approach ensures that the findings present a holistic view of developers’ opinions and attitudes towards AI in the tech industry. Therefore, the report offers invaluable insights for stakeholders who wish to understand and address the challenges surrounding AI adoption and integration.

Developers’ Career Goals and Job Security

In addition to developers’ perceptions of AI, the report sheds light on their career aspirations and concerns. Notably, 36% of developers express a lack of interest in taking on managerial responsibilities, revealing a preference for staying focused on technical aspects. Furthermore, the survey reveals growing apprehension among developers regarding job security, with 21% feeling less secure compared to the previous year (compared to 17% in the prior survey). A considerable 50% of developers admit to contemplating leaving their current jobs within the next twelve months, indicating potential challenges for organizations in talent retention.

The CoderPad report provides valuable insights into the dynamic relationship between developers and AI in the tech industry. While the majority of developers are optimistic about the potential of AI to reduce their workload and enhance their work experience, a significant portion harbors doubts and reservations. Addressing these concerns is critical to foster trust and maximize the benefits of AI adoption. Moreover, the report underscores the urgency for organizations to prioritize talent retention strategies and provide job security to their valuable developers. In order to shape the future of tech hiring, leaders need to facilitate open dialogues, invest in education and training programs, and promote the ethical and responsible use of AI. By doing so, employers can create an environment where developers can embrace AI as a powerful tool rather than a source of uncertainty.

Explore more

Resilience Becomes the New Velocity for DevOps in 2026

With extensive expertise in artificial intelligence, machine learning, and blockchain, Dominic Jainy has a unique perspective on the forces reshaping modern software delivery. As AI-driven development accelerates release cycles to unprecedented speeds, he argues that the industry is at a critical inflection point. The conversation has shifted from a singular focus on velocity to a more nuanced understanding of system

Can a Failed ERP Implementation Be Saved?

The ripple effect of a malfunctioning Enterprise Resource Planning system can bring a thriving organization to its knees, silently eroding operational efficiency, financial integrity, and employee morale. An ERP platform is meant to be the central nervous system of a business, unifying data and processes from finance to the supply chain. When it fails, the consequences are immediate and severe.

When Should You Upgrade to Business Central?

Introduction The operational rhythm of a growing business is often dictated by the efficiency of its core systems, yet many organizations find themselves tethered to outdated enterprise resource planning platforms that silently erode productivity and obscure critical insights. These legacy systems, once the backbone of operations, can become significant barriers to scalability, forcing teams into cycles of manual data entry,

Is Your ERP Ready for Secure, Actionable AI?

Today, we’re speaking with Dominic Jainy, an IT professional whose expertise lies at the intersection of artificial intelligence, machine learning, and enterprise systems. We’ll be exploring one of the most critical challenges facing modern businesses: securely and effectively connecting AI to the core of their operations, the ERP. Our conversation will focus on three key pillars for a successful integration:

Trend Analysis: Next-Generation ERP Automation

The long-standing relationship between users and their enterprise resource planning systems is being fundamentally rewritten, moving beyond passive data entry toward an active partnership with intelligent, autonomous agents. From digital assistants to these new autonomous entities, the nature of enterprise automation is undergoing a radical transformation. This analysis explores the leap from AI-powered suggestions to true, autonomous execution within ERP