A month is a long time in technology

3–4 minutes

I could easily have said a week or even a day. I chose a month because it has been roughly that long since my last post. This is partly self imposed but also due to my work load. A new role at work setting up an innovation program supporting AI service delivery offerings has kept me busy.

The self imposed part is also because I’m reassessing my blogging and newsletter writing. Faced with the onslaught of AI slop, one of the articles covered in the list below, I’m trying to think about how to stay relevant.

I haven’t figured it out yet. I do think there is merit in continuing my writing for two reasons:

  1. It continues to be a source of sensemaking as I explained here: A fire in my head
  2. I think it will one day become a source of differentiation and value against AI slop.

While I am under pressure to find time to do thoughtful and deep pieces, let me at least continue with curation of good writing I am discovering which I think remains valuable. Here are some good recent articles with some added commentary.

A Tool That Crushes Creativity

Posted on October 22. AI slop is winning. The prompts read like tiny, abstract poems. “A brutal storm off the coastal cliff. The clouds are formed into tubular formations and lightning strikes are never ending.” I scroll; another appears: “A male figure formed of gentle fire, his outline glowing with soft embers, approaches …

The Real Reason Corporate Innovation Moves So Slowly

Posted on October 16. Key Takeaways The biggest barrier to corporate innovation isn’t ideas or talent — it’s infrastructure procurement. Slow approval cycles turn experiments into months-long ordeals, killing momentum and opportunity. • Forward-thinking companies are building pre-approved “innovation sandboxes” and flexible …

Why Agentic AI Projects Fail—and How to Set Yours Up for Success

Posted on October 22. Agentic AI holds transformative potential, but only for those organizations that approach it with discipline and strategic intent. The market will not reward those who pursue agentic AI for its own sake or succumb to vendor hype—in fact, Gartner research suggests that more than 40% of agentic AI …

Business Adoption of AI Will Take Years, Say Venture Capitalists and Executives

Posted on October 1. Artificial intelligence services will take years to penetrate the economy, because businesses need to figure out how to use new AI products and train …

Forget algorithms, adoption is the real agentic AI revolution

Posted on October 10. These breakthroughs only matter if people actually use the tools. Agentic AI is redrawing the boundaries of value creation in corporate America.Gartner projects that by 2028, 33% of enterprise software applications will incorporate agentic AI, and at least 15% of daily business decisions will be …

The first article from The Atlantic which always has excellent writing confronts the depressing reality of AI slop. It doesn’t just cover AI produced writing slop but video, code and even work slop.

I can see how it is permeating all corners of our lives and think the refreshing thrill of real human connection and insights is starting to become more and more attractive.

The second article on innovation has obvious resonance given my new job focus. In essence it about creating license (through actual funding) for experiments to be conducted for innovation leaps to be achieved. Love it.

The last three articles all cover more or less the same topic: AI projects and how their success depend on a focus in adoption.

A lot of this stems from the now alarming and infamous statistic first put out by MIT based on a study of theirs in July this year that 95% of AI projects fail.

That study has been met with some skepticism, as it should – its too early to really, truly judge.

That is borne out by commentary from venture capitalists and executives and covered in another article.

It’s like the internet that went though a false start to now become something we can safely say has transformed our lives.

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