The conclusion here is clear: the industry will want different things from you as it evolves, and it will tell you that each of those shifts is because of some complex moral change, but it’s pretty much always about business realities changing. If you take any current morality tale as true, then you’re setting yourself up to be severely out of position when the industry shifts again in a few years, because “good leadership” is just a fad.

Enterprises are till trying to figure out DevSecOps: [M]any organizations remain stuck in siloed approaches that pose problems due to competing demands for speed, efficiency and risk reduction. Enterprises that effectively integrate security into software development and deployment–both through platforms and tools, and via cross-team collaboration– are better positioned to drive velocity, quality and innovation while maintaining and even improving security." Also, if you must Kubernetes, try to run just one, or as few as possible: ”given the array of tools and personas involved, organizations must contend with complexity, staffing and other hurdles in addition to cost, security and integration issues.

“adoption rates varied across the SDLC. Coding and testing were the top use cases for leveraging AI (48% and 47%, respectively). Lagging behind were priorities such as finding development insights, at 33% of respondents.” 🔗 Predictions 2026: Software Development Goes From Jamming To A Full Orchestra

A big deal: more than 800 million weekly users already familiar with ChatGPT, adoption and ROI within businesses is realized more rapidly–pilots are shorter and rollouts face less friction. We’re seeing this with the growth of ChatGPT for Work–we now have more than 7 million total ChatGPT for Work seats (up 40% in just 2 months). ChatGPT Enterprise seats specifically have grown 9x year-over-year. Impressive momentum. This is a good customer reference and boasting press release/blog.

This would be great. I implicitly trust Google because my stuff is there. While I love using ChatGPT and Gemini, I have less trust in their security (they just don’t have the track record yet) and even less on their morals and law-following (they obviously blatantly violated copyright for their models). // If things keep up in this trajectory, Gemini might be a real content, feature-wise for ChatGPT Anthropic is really good at app innovation though and will be hard to beat.

The use of OpenAI tools is becoming widespread among employees who, with more than 4,000 active GPTs and an average use of 4.1 days per week, claim that it saves them nearly three hours a week. This impact translates into time-savings of up to 80% for certain specific tasks, such as report writing or risk analysis. 🔗 Antonio Bravo: “AI is driving a structural transformation within the banking business”