Digital transformation #mindcandy: I help organisations become future-fit. Digital transformation #mindcandy scenario prompts are designed to stretch your imagination and sharpen situational awareness. Find out more here.
Today´s prompt: You can’t look at gunpowder and decide to only make firecrackers
DeepMind built its early breakthroughs inside games. Chess. Go. StarCraft. Nurseries for intelligence, effectively. But these were not just games. They were proving grounds for strategy, foresight, and decision-making at speeds and depths that human minds cannot match.
If your AI roadmap is still “assistive only,” you’re not being prudent. You’re being slow. The next leap is systems that can execute workflows, negotiate constraints, and act across tools and data — at enterprise speed.
And excellent post by @Arjun Jamnadass
https://www.linkedin.com/feed/update/urn:li:activity:7403789921699766272/
The CEO Question
What are you currently treating as a sandbox experiment that will become a competitive weapon in 12–18 months?
MindCandy Club:
MindCandy Club is a no-nonsense future-fitness system for CEOs. Comment “MC” or DM me “MC” if you want in.
Other prompts:
You are the upgrade
Data, acceleration, and the future of intelligence: Lessons from 25 core books (and links to 114 other books) about AI, technology abstraction, and consciousness.
2026 Top Agentic AI Predictions — The Delegation Shift, The Autonomous Workflow Loop, The Orchestration Awakening
In 2025, agentic AI mostly stayed in the experimental and pilot zone. Companies tested ideas, ran pilots, and explored what agents could help with. There was a lot of talk about autonomy, but in practice humans still stitched workflows together and made the final decisions. Most systems were assistive and cautious. They were often kept deliberately limited, but that is about to change.
AI-native data intelligence: How the Data Intelligence Agent makes trusted data accessible to everyone
Data management, AI productivity, security and governance, integration and resilience, and hybrid infrastructure management.
‘2026 has to be a year of execution’: AI investment pressures, supply-chain risks, and strategy misalignment are all on the line for CFOs
The talk is over. In 2026, it’s time to execute.
https://fortune.com/2025/12/15/2026-year-of-execution-cfo-strategy/
Stanford AI Experts Predict What Will Happen in 2026
AI sovereignty, opening the black box, legal AI, the bubble, medicine, AGI, dashboards, bypassing the enterprise and human centred.
https://hai.stanford.edu/news/stanford-ai-experts-predict-what-will-happen-in-2026
AI Talk: From digital transformation to AI transformation — the missing link is data delivery
Data architecture has evolved dramatically over the past two decades – and for good reason. What began as centralized data warehouses designed for structured reporting has transformed into a complex ecosystem of lakes, lakehouses, fabrics, and meshes, each responding to new challenges as they emerged.
Home > Cybersecurity > News Article
No-Code AI Agents Vulnerable to Data Theft, Fraud
Tenable Research successfully hijacked an AI agent’s workflow, leading to the unauthorized extraction of sensitive payment data and the approval of services at zero cost. This demonstrates the immediate necessity for organizations to establish stringent security protocols when adopting AI-powered automation tools.
https://mexicobusiness.news/cybersecurity/news/no-code-ai-agents-vulnerable-data-theft-fraud-tenable
Your programming career isn’t over – AI just upgraded your toolbox
Now that AI can write software, where does that leave you as a programmer? The answer lies in the past.
https://www.zdnet.com/article/ai-gives-programmers-power-tools/
The Real Bottleneck in Enterprise AI Isn’t the Model, It’s Context
AI agents hallucinate without operational context. The fix? Use your orchestration metadata as a “flight recorder” to ground AI in reality.
https://thenewstack.io/the-real-bottleneck-in-enterprise-ai-isnt-the-model-its-context/
