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Apple at CHI 2026: How AI, Design and Human Interaction Are Converging

At CHI 2026 in Barcelona, Apple is not showcasing major product launches, but something arguably more significant: a set of research contributions that offer a rare glimpse into how the company is thinking about the future of interfaces, accessibility and data-driven design.

How Generative AI Is Redefining Leadership — and Reshaping Organisations

Generative AI is not just transforming processes, products or business models. It is going deeper — into the core of organisations: leadership, accountability and structure. What once felt relatively stable is now being redefined. New roles are emerging, organisational charts are becoming more fluid, and leadership itself is undergoing a fundamental shift.

Pico’s Project Swan XR: The Boldest Challenge Yet to Apple and Meta

At first glance, the XR market in early 2026 appears settled. Apple Vision Pro defines premium spatial computing, while Meta Quest 3 dominates the mass market with a gaming-first approach. Yet into this seemingly stable landscape steps Pico with Project Swan XR — and challenges the very assumptions current headsets are built on.

The Cost Trap of Agents: Why AI Workflows Suddenly Get Expensive

Agents are widely seen as the next evolution of AI. Systems such as Claude (including Cowork) or automation platforms like n8n promise to plan and execute entire tasks autonomously. Yet this is precisely where a new cost dynamic emerges — one that is catching many organisations off guard in 2026. AI is no longer priced per request, but per underlying computation.

Implementing Generative AI in Organisations: What Management Needs to Get Right

Introducing generative AI is not an IT project. It is a management challenge. While tools can be deployed quickly, real success depends on something else entirely: strategy, leadership, organisation and culture. Companies that treat generative AI as just another software upgrade will struggle to unlock its potential — and may even introduce new layers of complexity.

When AI Wrote a Horror Novel: The ‘Shy Girl’ Scandal and What It Means for the Creative Industries

A debut novel becomes a bestseller, a publisher picks it up, the US release is prepared – then an AI detector reveals that 78 per cent of the text was probably machine-generated. Hachette pulls the book. What remains is more than a scandal: it's the blueprint for the crisis of trust facing the entire creative economy.

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Alexander Pinker Innovation-Profiler & Future Strategist

Future

Technology

Apple at CHI 2026: How AI, Design and Human Interaction Are Converging

At CHI 2026 in Barcelona, Apple is not showcasing major product launches, but something arguably more significant: a set of research contributions that offer a rare glimpse into how the company is thinking about the future of interfaces, accessibility and data-driven design.

How Generative AI Is Redefining Leadership — and Reshaping Organisations

Generative AI is not just transforming processes, products or business models. It is going deeper — into the core of organisations: leadership, accountability and structure. What once felt relatively stable is now being redefined. New roles are emerging, organisational charts are becoming more fluid, and leadership itself is undergoing a fundamental shift.

Pico’s Project Swan XR: The Boldest Challenge Yet to Apple and Meta

At first glance, the XR market in early 2026 appears settled. Apple Vision Pro defines premium spatial computing, while Meta Quest 3 dominates the mass market with a gaming-first approach. Yet into this seemingly stable landscape steps Pico with Project Swan XR — and challenges the very assumptions current headsets are built on.

The Cost Trap of Agents: Why AI Workflows Suddenly Get Expensive

Agents are widely seen as the next evolution of AI. Systems such as Claude (including Cowork) or automation platforms like n8n promise to plan and execute entire tasks autonomously. Yet this is precisely where a new cost dynamic emerges — one that is catching many organisations off guard in 2026. AI is no longer priced per request, but per underlying computation.

Implementing Generative AI in Organisations: What Management Needs to Get Right

Introducing generative AI is not an IT project. It is a management challenge. While tools can be deployed quickly, real success depends on something else entirely: strategy, leadership, organisation and culture. Companies that treat generative AI as just another software upgrade will struggle to unlock its potential — and may even introduce new layers of complexity.

When AI Wrote a Horror Novel: The ‘Shy Girl’ Scandal and What It Means for the Creative Industries

A debut novel becomes a bestseller, a publisher picks it up, the US release is prepared – then an AI detector reveals that 78 per cent of the text was probably machine-generated. Hachette pulls the book. What remains is more than a scandal: it's the blueprint for the crisis of trust facing the entire creative economy.

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Apple at CHI 2026: How AI, Design and Human Interaction Are Converging

0
At CHI 2026 in Barcelona, Apple is not showcasing major product launches, but something arguably more significant: a set of research contributions that offer a rare glimpse into how the company is thinking about the future of interfaces, accessibility and data-driven design.

How Generative AI Is Redefining Leadership — and Reshaping Organisations

0
Generative AI is not just transforming processes, products or business models. It is going deeper — into the core of organisations: leadership, accountability and structure. What once felt relatively stable is now being redefined. New roles are emerging, organisational charts are becoming more fluid, and leadership itself is undergoing a fundamental shift.

The Cost Trap of Agents: Why AI Workflows Suddenly Get Expensive

0
Agents are widely seen as the next evolution of AI. Systems such as Claude (including Cowork) or automation platforms like n8n promise to plan and execute entire tasks autonomously. Yet this is precisely where a new cost dynamic emerges — one that is catching many organisations off guard in 2026. AI is no longer priced per request, but per underlying computation.

Implementing Generative AI in Organisations: What Management Needs to Get Right

0
Introducing generative AI is not an IT project. It is a management challenge. While tools can be deployed quickly, real success depends on something else entirely: strategy, leadership, organisation and culture. Companies that treat generative AI as just another software upgrade will struggle to unlock its potential — and may even introduce new layers of complexity.

When AI Wrote a Horror Novel: The ‘Shy Girl’ Scandal and What It Means...

0
A debut novel becomes a bestseller, a publisher picks it up, the US release is prepared – then an AI detector reveals that 78 per cent of the text was probably machine-generated. Hachette pulls the book. What remains is more than a scandal: it's the blueprint for the crisis of trust facing the entire creative economy.

AI Brain Fry: When Working With AI Starts Overheating the Mind

0
Artificial intelligence is widely seen as the engine of a new productivity era. Yet a recent analysis discussed in the Harvard Business Review suggests a more complex picture. The research identifies a growing phenomenon among knowledge workers that the authors describe as “AI Brain Fry” — a form of mental fatigue caused by intensive interaction with, and supervision of, AI tools.

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Moltbook – The AI Society That Never Was

When Moltbook went live, it briefly felt like a glimpse behind the curtain of the future. A social network populated not by people but by AI agents: millions of profiles, endless debates,...

Moltbook: When Artificial Intelligence Gets Its Own Social Network

When Moltbook quietly went live at the end of January 2026, it introduced a concept that feels both playful and unsettling: a social network built exclusively for AI agents, where humans are welcome only as spectators. No posting, no commenting, no voting – just watching. In an internet long dominated by human attention, Moltbook flips the script and asks a stranger question instead: what happens when artificial agents are given a public space to talk among themselves?

ChatGPT Gets Advertising: How OpenAI Is Turning the Assistant into a Sales Channel

OpenAI is testing advertising in ChatGPT for the first time in the coming weeks – only in the US, only for free and Go users, only at the end of responses. Plus, Pro and Enterprise remain ad-free. That sounds harmless, but it's the beginning of a new era: AI assistants are becoming advertising platforms. The question isn't whether, but how invasive.