“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
Posts in "links"
"we now have more than 7 million total ChatGPT for Work seats (up 40% in just 2 months)."
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.
Gemini could lap ChatGPT in app features
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.
AI use in banking, BBVA
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”
If this stuff actually “just works” with Apple stuff, that would be cool. Side-note: was that Matter stuff just a crock of shit? Seems like it.
🔗 IKEA Debuts 21 HomeKit-Compatible Smart Bulbs, Sensors, and Controls
The “infinite loop” problem in AI security is real, and there are ways to break it.
🔗 Shifting Security Left with AI — Is It Truly AI-Assisted Security, or an Infinite Loop?
When to stay public - Modeling staying in public cloud versus moving out of it.
Little buddy - ‘Some 36% of active users consider generative artificial intelligence (GenAI) “a good friend”’
Good guide on picking a chat bot.
Good guide on picking a chat bot.
🔗 An Opinionated Guide to Using AI Right Now
If failure is the norm, a 95% failure rate for AI projects isn't so shocking.
Suppose that 95% of enterprise AI transformations fail. How does that compare to the failure rate of normal enterprise IT projects?
This might seem like a silly question for those unfamiliar with enterprise AI projects - whatever the failure rate, surely it can’t be close to 95%! Well. In 2016, Forbes interviewed the author of another study very much like the NANDA report, except about IT transformations in general, and found an 84% failure rate.