Eli the Computer Guy explains Amazon’s decision to prioritize its in-house AI coding tool, Kiro, over third-party platforms like OpenAI and Anthropic, emphasizing the importance of security, data privacy, and building customized AI solutions that create a competitive advantage. He advocates for developing bespoke AI applications within organizations to add real value and job security, rather than relying on superficial use of external AI tools, highlighting a broader industry trend toward internal AI infrastructure.
In this video, Eli the Computer Guy discusses Amazon’s strategic decision to push its engineers towards using an in-house AI coding tool called Kiro, rather than relying on third-party AI development platforms like OpenAI’s Codex or Anthropic’s Claude Code. He emphasizes that Amazon’s move is driven by concerns over security, data privacy, and the desire to build bespoke AI solutions that integrate deeply with their existing systems. This approach allows Amazon to maintain control over their AI infrastructure and tailor it specifically to their organizational needs, rather than depending on external providers.
Eli critiques the current trend where many professionals simply “swipe a credit card” to access AI platforms and rely on prompt engineering without deeper technical understanding. He argues that this shallow approach lacks a true competitive moat—barriers that protect a business from competitors—because anyone can replicate it easily. Instead, he advocates for building custom AI applications that solve specific problems within an organization, which creates a stronger moat and adds real value. This bespoke development requires engaging with stakeholders across the company and investing time in coding tailored AI solutions.
The video also highlights the broader implications for the AI industry. Many companies initially experimented with third-party AI tools to understand their value and potential integration. However, as AI becomes more critical to business operations, there is a growing trend toward developing internal AI infrastructure. This shift allows companies to have greater visibility, security, and control over their AI tools, which is especially important for sensitive data and proprietary workflows. Amazon’s internal memo reflects this trend by limiting the approval of new external AI software and encouraging the use of their own Kiro tool.
Eli draws parallels between the current AI revolution and earlier technological shifts, such as the rise of IT professionals who started by installing fax modems or building websites. He suggests that just as those skills became valuable and led to career opportunities, the ability to build bespoke AI solutions will be a significant skill set in the near future. He encourages viewers to see AI development not just as using existing platforms but as an opportunity to create unique, proprietary systems that provide competitive advantages and job security.
Finally, Eli invites viewers to reflect on Amazon’s strategy and consider whether similar approaches could be adopted in their own organizations. He stresses the importance of moving beyond superficial AI usage toward building meaningful, customized AI tools. The video also promotes his Silicon Dojo classes, which focus on practical AI skills like extending AI capabilities with REST APIs and AI computer vision, aiming to empower learners to develop hands-on expertise in this evolving field.
