INSIDE’s sponsored recap of 2026 FusionNext, hosted by CloudMile, frames generative AI as a business execution challenge rather than a model-shopping exercise. Speakers from CloudMile, Google Cloud, Taiwan AI Academy, and enterprise customers emphasized data silos, governance, security, and cloud modernization as prerequisites for scalable AI agents. Case studies across healthcare, manufacturing, retail, media, gaming, and infrastructure positioned AI monetization as a long-term systems project built on reliable data and cross-functional sponsorship.
The article argues generative AI must keep accelerating to justify massive data center, cloud, and GPU commitments. Zitron says OpenAI, Anthropic, hyperscalers, and NVIDIA depend on AI services reaching extraordinary revenue levels by 2029-2030. He points to token-based billing, weak ROI visibility, enterprise spending caps, and customer pushback as signs that demand may be cooling before the infrastructure bet can pay off.
Uber reportedly exhausted its annual AI budget just four months into 2026. President and COO Andrew Macdonald said the company is not seeing a clear link between increased Claude Code token consumption and more meaningful output. The story highlights a broader enterprise shift from AI adoption enthusiasm toward stricter scrutiny of cost, productivity, and ROI.