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Your brain is becoming a data platform
Neuralink is pretraining on 50,000 hours of brain data, moving brain-computer interfaces closer to everyday use. Imagine a future where intention becomes an interface, thoughts become data, and the brain becomes part of our digital infrastructure.
And AI is experiencing pain
Meanwhile, research into the “pain axis” of large language models suggests AI can develop internal representations resembling pain that influence behaviour. That does not mean machines actually suffer, but it challenges how we understand artificial intelligence.
The convergence
We are making human brains machine-readable while making machines increasingly capable of modelling human experiences. The implications for cognitive privacy, autonomy, identity, and human-machine interaction are enormous.
The future fitness move
Start mapping where neurotechnology and AI convergence could disrupt your industry. The next digital transformation may be about connecting minds rather than computers.
The other prompts you will find here
AI is changing work. Now it has to change the organization
The first phase of enterprise AI put powerful new tools in people’s hands. Capturing the larger opportunity from agentic AI will require leaders to rethink the shape of the organization itself.
How to mitigate the risk from AI-generated apps built by your ‘citizen coder’ employees
AI tools let non-technical employees build workplace apps in minutes with natural language prompts. While these AI-generated apps boost productivity, they can create severe security and data risks
Countering Shadow AI to Securely Scale Agentic Capabilities
Shadow AI will accelerate much faster than past forms of shadow IT, and the rapid expansion of AI capabilities makes a prohibitory approach to governance counterproductive. Organisations must collaborate with employees to provide sanctioned and safe tools rather than banning all tools, with the latter directly leading to cases of shadow AI and unauthorised data migration.
https://enterprisetalk.com/podcasts/countering-shadow-ai-to-securely-scale-agentic-ai
The 13 next big things in applied AI for 2026
Casual engines, design, governance, language, agents, data centre autonomy, simulated physics, vibe coding, digital twins, self-driving, training, organizational brainpower, and web surfing.
AI forces us to ask: What does ‘smart’ actually mean?
For the past two decades, we have put the word “smart” in front of almost everything in industry. Smart factories. Smart plants. Smart manufacturing. Smart machines. Smart supply chains. Smart maintenance. Smart automation. Smart cities. Smart airports. You get the point. Everything is smart! But were they really smart? What does smart really mean? These questions might sound provocative, especially after billions of dollars of investment in Industry 4.0, IoT, machine learning, advanced analytics, automation, and digital transformation.
The Battle to be AI’s Front Gate
By bringing models from OpenAI, Google, Anthropic, and others into a single interface, these platforms allow users to choose between models and compare responses.
https://brandequity.economictimes.indiatimes.com/news/digital/the-battle-to-be-ais-front-gate/134756167
