Tianyu Qi
Tianyu Qi
Australia
2026 AI investment needs to be evaluated across four layers. First, pure productivity enhancing SaaS (e.g. $CRM (Salesforce Inc) $ADBE (Adobe Systems Inc) ) companies face pressure to evolve into autonomous AI agents that can replace labor, or risk disruption. Second, LLM developers such as OpenAI and Anthropic compete in an expensive race—training models costs billions, yet the less network effects the model has, the less sticky the revenue becomes. Third, tech giants like $GOOG (Alphabet) $MSFT (Microsoft) and $AMZN (Amazon.com Inc) invest massive capital into data centers and compute infrastructure, shifting from asset-light software models to industrial-scale operations (one good example being Google issuing 100-year bonds to finance AI infrastructure). Fourth, chip sellers/makers like $NVDA (NVIDIA Corporation) and $TSM (Taiwan Semiconductor Manufacturing Co Ltd - ADR) profit from supplying the “tools” of the AI gold rush. Ultimately, the only long-term winners can only be those with strong cash flow and ecosystems that embed AI into everyday user platforms. youtu.be/lk7XsmTFcR4
Not investment advice. The author may have financial interests in the mentioned instruments.