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 Agents Agreeing With You Is Dangerous What happens when an AI agent stops challenging your assumptions and starts reinforcing them? One of the less obvious risks of AI adoption is overconfidence. When AI systems consistently validate what users want to hear, they can reinforce flawed decisions instead of helping people identify problems. Craig McLuckie's perspective on engineering discipline highlights why organizations cannot confuse agreeable AI behavior with reliable AI behavior. As agents become more deeply integrated into business processes, trust must come from verification, context, and enforceable safeguards. Topics covered: • AI sycophancy and overconfidence • The danger of unchallenged AI recommendations • Context optimization and reliable AI outputs • Building safeguards into enterprise AI systems Guest: Craig McLuckie — CEO & Founder, Stacklok Host: Brandon Krieger — CEO & vCISO Advisor 📺 Watch the full episode: 🎧 Listen: #ArtificialIntelligence#, #AIAgents#, #AITrust#, #AISecurity#, #Stacklok#, #CraigMcLuckie#

AI is changing the work of #CX# teams. But how do we help employees build the skills and experience needed for more complex roles? Our latest CX Insight article explores why #AI# adoption requires a workforce strategy, too. Read more: #ExecsInTheKnow#

AI adoption in the UAE (73.3%) and Singapore (64.3%) shows how infrastructure, policy, and demand reinforce one another. Microsoft’s September 2026 Global AI Diffusion Report highlights these figures, which reflect coordinated investment in connectivity, talent, and AI tools.

AI adoption needs more than a rollout. Announcing DevClarity + CodeRabbit: hands-on AI enablement meets independent code review, helping software teams put AI to work and stay in control of what ships.

AI adoption doesn't happen all at once. On Inside Blackstone, Jas Khaira, Global Head of Blackstone N1, discusses how we're working with the leaders of our portfolio companies to rethink workflows, improve operations, and build more AI-native businesses.

AI is moving beyond the technology sector and deeper into the broader economy. On The Bid #podcast#, host Oscar Pulido speaks with Jay Jacobs, BlackRock’s US Head of Equity ETFs, about how businesses across healthcare, manufacturing, financial services and more are putting #AI# to work. They explore what’s driving broader AI adoption, the physical infrastructure needed to support its growth and how areas like robotics and autonomous vehicles could shape the next phase of the AI economy. Listen: