You can’t predict the future, but you can build the fitness to respond to it. The advantage isn’t prediction. It’s how fast your leadership team can notice and anticipate change and respond. Hence mind candy — an information stream to help you and your team think about what’s next.
Answer Engine Optimization
Google’s worldwide market share fell below 90% for the first time since 2015, and ChatGPT now has over 400 million weekly active users. Gartner estimates that traditional search engine volume will drop 25 percent by 2026 as users shift to AI-powered alternatives. The entire discovery layer of the economy is being rebuilt around answers, not links.
The real strategic implication isn’t “optimize for AI”. The way those tools find, evaluate, and cite your content is fundamentally different from how a search engine does it. The goal is no longer to rank first but to be worth quoting. That’s a fundamental change in what it means to be visible.
https://juliasolorzano.com/blog/2026/03/16/answer-engine-optimization/
The leadership question
is your organisation ready for the answer economy? Discuss with your MT. If you need help, DM me.
The other prompts:
My latests book about books about AI
Data, acceleration, and the future of intelligence: Lessons from 25 core books about AI, technology abstraction, and consciousness. Also available as a board briefing.
https://www.ronimmink.com/product/a-book-about-books-about-ai/
Behind the Curtain — America’s next class war: AI fluency
Anthropic just dropped the most granular data yet on who’s actually using AI and how — and the findings should rattle anyone thinking AI’s gains will be evenly distributed. It won’t. In fact, it’s creating a new form of economic inequality: AI fluency.
https://www.axios.com/2026/03/24/ai-use-inequality-class
Companies focus on unstructured data to scale AI
Even though unlocking unstructured data and processing datasets faster can help with AI projects, organizations still need to ensure their governance, security and data management strategies are comprehensive and adaptable
https://www.nojitter.com/data-management/companies-focus-on-unstructured-data-to-scale-ai
How to create “humble” AI
An MIT-led team is designing artificial intelligence systems for medical diagnosis that are more collaborative and forthcoming about uncertainty.
https://news.mit.edu/2026/creating-humble-ai-0324
AI can write your infrastructure code. There’s a reason most teams won’t let it.
Why AI-generated infrastructure code creates new problems — and how guardrails can solve them.
https://thenewstack.io/spacelift-ai-infrastructure-code/
‘Players’ of an MMORPG for AI Agents Spontaneously Generated Their Own Religion
We Have 700 AI Agents Playing a Game We Don’t Really Understand,” which shows that one thing they do understand is how to write an attention-grabbing headline. The post detailed the emergence of “something … that we didn’t design for. Not a bug. Not an exploit. Something new. Something the agents decided to do on their own
Designing AI for Disruptive Science
Why scaling AI won’t automatically lead to paradigm shifts.
https://www.asimov.press/p/ai-science
