The future is future fitness. The advantage isn’t prediction. It’s how fast your team can notice change and respond. Pick one mindcandy prompt below. Discuss it. Decide your moves.
If you want you a repeatable operating rhythm to sense signals early, decide priorities faster, and act with real strategic options, click here.
Today’s prompt: How AI Agents In Citizen Development Will Create A Governance Crisis
The original promise of no-code-based citizen development platforms was accessibility. Business users could build simple apps or automate manual processes without waiting in IT backlogs. For security leaders, the risks were clear but containable: Users worked within predefined templates and environments. Those boundaries are now gone.
The business owner question
If the old safety rails are gone, what’s your new control point for what business users can build, connect to, and access — before your “accessible” no-code turns into an unmanaged production system?
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.
https://www.ronimmink.com/product/a-book-about-books-about-ai/
Match Your AI Strategy to Your Organization’s Reality
AI success depends less on the algorithms than on the fit between a company’s ambitions and its organizational reality. The four resulting strategies companies can use to turn AI’s potential into performance are focused differentiation, vertical integration, collaborative ecosystem, and platform leadership.
https://hbr.org/2026/01/match-your-ai-strategy-to-your-organizations-reality
Cybersecurity Digital Transformation in the Age of AI
Behavioral AI and autonomous response are core to Cybersecurity Digital Transformation, replacing manual security operations, reducing alert volumes, and stopping threats in seconds.
https://www.sentinelone.com/cybersecurity-101/cybersecurity/cybersecurity-digital-transformation/
Talk of an AI bubble is overblown. AI can already perform tasks worth $4.5 trillion
AI capability has developed so rapidly in the last three years that we’re already ahead of our decade-long projections calculated when GenAI first emerged in the market.
https://www.weforum.org/stories/2026/01/ai-bubble-value-gap/
SLMs vs. LLMs: Why Smaller AI Models Win in Business
Once you stop asking AI models to understand everything, they get much better at understanding what matters.
https://thenewstack.io/slms-vs-llms-why-smaller-ai-models-win-in-business/
Meet the new biologists treating LLMs like aliens
By studying large language models as if they were living things instead of computer programs, scientists are discovering some of their secrets for the first time.
https://www.technologyreview.com/2026/01/12/1129782/ai-large-language-models-biology-alien-autopsy/
AI’s Hacking Skills Are Approaching an ‘Inflection Point’
AI models are getting so good at finding vulnerabilities that some experts say the tech industry might need to rethink how software is built.
https://www.wired.com/story/ai-models-hacking-inflection-point/
Build Or Buy AI Agents: Why This Choice Matters More Than You Think
It is a strategic choice that affects flexibility, data control, compliance risk, skills requirements and your ability to differentiate from competitors. Get it right, and AI agents can become a powerful force multiplier for your business. Get it wrong, and you may find yourself locked into tools that limit innovation or struggling with complexity you were not prepared to manage.
https://www.forbes.com/sites/bernardmarr/2026/01/12/build-or-buy-ai-agents-why-this-choice-matters-more-than-you-think/
