El Niño Preparedness: Tanzania’s Prime Minister’s Office says it has moved beyond planning to a National Emergency Plan for El Niño impacts, with 13 directives and a multi-stage approach covering preparedness, mitigation, response and recovery—while officials clarify the Sh730bn figure is a projection, not a direct 2026/27 budget allocation. Fuel Relief: EWURA cut September fuel price caps, easing petrol, diesel and kerosene costs in Dar es Salaam and other entry points, extending the relief trend for motorists, freight and households. Digital Finance Push: VisionFund Tanzania launched the VFT Smart Banking app in Arusha, enabling account opening, savings and loans for customers and savings groups via the “Dunduliza” model. WhatsApp Business Costs: Meta’s new charges for certain business messages on WhatsApp Business Platform/API from Oct 1, 2026, could raise costs for banks, fintechs, e-commerce and SMEs using customer service bots. Urban Cleanliness Drive: President Samia ordered tougher cleanliness action, calling Dar es Salaam “a disgrace” and warning against awarding waste contracts to under-equipped councillors. Agriculture & Trade Links: India says it wants to expand imports of Tanzania’s farm products by reducing post-harvest losses and improving quality. Blue Economy & Fisheries: World Bank-backed TASFAM aims to modernise fisheries and aquaculture management in Zanzibar and coastal districts, targeting sustainable marine livelihoods. Regional Business Context: Uganda named its crude oil grade “Pearl Sweet,” a step toward commercial production by year-end, with pipeline links to Tanzania’s coast. Tourism & Logistics: Tanzania’s Mapito Safari Camp won a World Travel Awards Africa luxury tented camp title in Zanzibar; meanwhile, shipping costs are pushing up Tanzania’s service payments. Energy Market Leadership: Puma Energy Tanzania highlights continued market share gains and investment in cleaner fuels like CNG as Tanzania’s energy mix shifts. SME & Innovation: Business leaders urged Tanzanian firms not to let AI decide customer needs blindly, stressing human understanding of markets and “taste.”