Google's AI Mode transforms search into guided shopping. Discovery now happens through conversations, not keywords, and AI assistants decide which products customers see. Retailers must optimise for AI visibility, structured data, and answer-ready content to stay competitive.
MCP turns AI agents into rapid collaborators, cutting prototyping cycles by up to 60% and transforming engineering velocity into a competitive moat.
Max tokens quietly shapes how long AI can speak, how much it costs, and how reliably it delivers complete answers. Mastering it is now essential for predictable, efficient, enterprise-grade AI systems.
TikTok has inverted the retail funnel. With £9bn of UK spend now driven by discovery-led commerce, retailers must shift from search-optimised journeys to discovery-optimised storytelling, creator pipelines, and trend-responsive merchandising.
Most internal builds don't fail because engineering is weak, they fail because organisational friction multiplies timelines and drains capacity. Build-vs-buy must become a governance discipline, not a procurement debate.
AI won't reshape work because it automates tasks, but because agent networks collapse the cost of coordination. MIT's Iceberg Index shows 11.7% of roles are automatable; REP research shows how many more become structurally unnecessary. The future of work is a network, not a hierarchy.
Discover how AI is quietly reshaping contact centres, handling most interactions while redefining roles, KPIs and human work in next-generation service operations.
AI Engineers are redefining how software is built — moving from manual coding to orchestrating AI systems that generate, test, and refine code. The companies that empower these engineers will ship faster, innovate faster, and outpace competitors in the AI-native era.
AI success now depends on three roles working in sync — Operators, Builders, and Engineers. Together they form the workforce architecture of AI-native organisations and unlock compounding productivity, innovation, and scalable transformation.
A narrative-led deep dive into why JSON is breaking under AI's demands — and why TOON, an AI-native, token-efficient, schema-driven format, is emerging as the new default at the LLM boundary.
Understand how AI models 'remember' information through training and 'look it up' through retrieval, and what that means for GEO and AEO.
Learn why falling clicks don't always mean falling impact, and how to measure brand visibility, trust and ROI in an AI-driven, zero-click world.
How generative AI is changing search visibility, and how to adapt SEO into GEO and AEO so your brand stays present in AI-generated answers.
AI has fractured into a family of models, from language to vision to action. The winners of 2025 won't be those chasing size, but those mastering composition over scale.
HMRC's Connect 2.0 analyses everything from bank data to Instagram posts. But AI tax surveillance isn't just about catching evaders, it's redefining compliance. In the digital economy, your footprint is your tax record.
Autonomous agents are accelerating automation, and accumulating risk. Agent debt is the new technical debt, combining design shortcuts, governance gaps, and behavioural drift. The cost? Agility, trust, and control, unless leaders act now.
As AI engines replace search results with direct answers, the click is vanishing, but influence is not. Brands that optimise for citations and credibility within generative systems will own the next era of attention, where visibility no longer depends on visits but on trust inside the model.
The era of AI discovery is here. As generative engines replace search, Generative Engine Optimisation (GEO) becomes the new frontier of visibility. Early adopters who structure, verify, and distribute their knowledge across AI ecosystems will shape how, and whether, their brands are remembered in the age beyond clicks.
The shelf is becoming a sensor. From Walmart's IoT rollouts to Morrisons' nationwide deployment, electronic shelf labels are reshaping retail into a connected, data-rich ecosystem. What began as price automation is turning into a new kind of intelligence, one that makes stores smarter, staff freer, and shoppers more trusting of the prices they see.
The humble shelf label is becoming retail's next interface. With NFC, LEDs, and QR codes, electronic shelf labels are merging loyalty, checkout, and personalisation into a single touchpoint, transforming the shelf edge from a static display into a dynamic customer experience platform.
Nvidia's record valuation rests on scarcity economics, but the world's biggest clouds are building their own chips. As AWS, Google, and Microsoft move to self-sufficiency, the GPU monopoly begins to dissolve. The next phase of AI won't be powered by one company's silicon, and Nvidia's gravity-defying run may soon meet the laws of physics.
Amazon's Project Rainier signals a turning point in cloud infrastructure, from renting GPUs to owning the full AI stack. With Trainium 2 scaling past a million chips and energy investments reaching nuclear proportions, AWS is building not just a faster cloud, but a self-sufficient one. The race for AI dominance is no longer about who uses the best chips; it's about who makes them.
Amazon's next act isn't about AI, it's about automation. With plans to automate 75% of operations and replace 600,000 future hires, Amazon's Machine Economy strategy signals a global shift towards robotic workforces, one that could redefine labour, logistics, and leadership in the decade ahead.
The next era of retail media won't be won by scale, but by intelligence. First-party data is replacing third-party identity as the foundation of performance, transforming RMNs from ad channels into powerful, trusted intelligence platforms.