Small teams don't need an AI tool for every job title. They need one plan that covers all of them. The Alibaba Cloud Token Plan consolidates text, image, video, and audio into a single credit pool, all-in-one access to Qwen and industry-leading third-party models, the latest tools and expert support when you need it. Simplify your AI spend, starting at $4 for the first month: #AlibabaCloud# #TokenPlan# #AI# #Qwen# #HappyHorse# #Wan# #DeepSeek# #GLM# #CloudAI# #AIAdoption# #AIProductivity#

Last Friday, together with @e27co, we hosted an exclusive roundtable with founders and senior leaders to discuss how businesses can move from #AI# experimentation to real-world deployment. The discussion was energetic and highly practical, with participants sharing real use cases, deployment challenges, and solution approaches across industries, from SME operators to enterprise teams. One message came through clearly: AI is moving beyond experimentation into execution, integration, and measurable business impact. A few key takeaways stood out: 🤖 AI adoption is gaining traction across customer service, coding, sales, productivity, robotics, IoT, and agentic AI. 🎯 Scaling AI still requires companies to address cost, infrastructure complexity, trust, regulation, data privacy, and internal readiness. 🚀 The fastest-moving companies are shortening planning cycles, launching practical solutions earlier, testing in real-world environments, and iterating quickly. At Bitdeer AI, we believe scalable AI infrastructure is essential to helping businesses turn AI ideas into production-ready outcomes. As our commitment is to eliminate infrastructure complexity and cost barriers, enabling teams to build, deploy, and scale AI with speed and confidence. Thank you to e27 and all participants for the insightful discussion. #AIAdoption# #necloud# #AIInfrastructure# #AI#

AI's future may depend on more than innovation. Ariana Salvatore explains why policy is becoming a key force behind AI adoption, access and infrastructure. Listen to more on Thoughts on the Market:

AI adoption is nothing vs smartphones — but that will change fast 📈 Web2 isn’t going anywhere. It’s evolving: → Web2 + Web3 rails → AI agents in the background → Users won’t even notice ⚙️ Like most people don’t know how payments work 💳 Simple UX. Complex infra. Agent-powered future ⚡

AI in the enterprise has a messaging problem. The industry sold transformation and delivered meeting summaries. On this episode of Bit by Bit: Leadership Conversations, Tom Butler, Vice President of WW Commercial Portfolio and Product Management at @Lenovo, explains why enterprise AI adoption has stalled, and why the real shift is not about saving people time. It is about reshaping what they do with it. We get into workflow over personas, why “no one cares” about the NPU, and his AI Knights of the Round Table approach to spreading what actually works across an organization. 00:16 PC Market Meets AI 02:41 Rollercoaster Cycles And Refresh 05:05 Workflow First Buying Shift 06:37 Different Sectors Different Speeds 08:51 Storytelling Missteps And Value 10:32 Hybrid AI Edge Versus Cloud 14:39 Security Governance Reality Check 16:40 Culture Shift Outcomes Over Devices 21:15 Middle Management Friction 24:59 Rebuilding Trust With Transparency 30:09 IT Buying Gets More Surgical 33:27 Advice And AI Knights Playbook 37:23 Closing Thoughts And Thanks

AI is already saving employees time. The bigger question is: where is that time going? Among frontline employees—individual white-collar employees with no managerial responsibilities—42% who are regular AI users report saving the equivalent of a full workday, but most organizations haven’t figured out how to convert the time into value. As AI adoption scales, the challenge for leaders is shifting from deploying tools to redesigning work, reallocating capacity, and capturing the value created. Read BCG's fourth annual AI at Work survey to explore why strategy, not just technology, is the defining factor in AI success:

AI deployment doesn’t have to mean reinventing your infrastructure. AMD’s Suresh Andani explains how AMD Instinct MI350P PCIe GPUs combine open software, enterprise-ready AI infrastructure, and scalable inference performance to help organizations accelerate AI adoption within existing data centers. Same racks. Same cooling. Dramatically more AI. Watch the full video on YouTube:

AI adoption shouldn’t require rebuilding your data center. AMD Instinct MI350P PCIe GPUs are designed to deliver production AI inference performance in standard air-cooled servers, helping enterprises scale AI with existing infrastructure. Learn more:

Meaningful AI innovation starts with meaningful conversations. At @RaiseSummit 2026 Paris, in partnership with @SambaNovaAI, we met with customers and industry leaders to discuss real-world AI adoption, performance, and the technologies needed to scale AI responsibly.