Key AI Trends to Watch in 2026 and Investment Strategies

Key Points

• The rise of custom AI accelerators will have a notable impact on cloud computing and these chipmakers.

• More capable devices could spur a huge round of upgrades for consumers.

• Harnessing unique data with AI could put small businesses on the same level as big corporations.

In recent years, the rapid development of artificial intelligence (AI) technology has transformed the industry significantly. As of 2026, advancements in generative AI are anticipated to continue, driven by large tech companies like Alphabet, Amazon, Microsoft, and Meta Platforms, which are investing heavily in custom AI chips. For instance, Alphabet’s Tensor Processing Units (TPUs) have been utilized since 2018, while Amazon has launched its Inferentia and Trainium chips to cater to AI needs.

AI developers are increasingly adopting these custom chips due to their cost-effectiveness and lower power consumption compared to traditional GPUs. For example, companies like Anthropic and OpenAI have begun integrating Amazon and Google’s custom silicon solutions into their projects. Furthermore, on-device AI capabilities, particularly from companies like Apple with its anticipated Siri revamp, are expected to drive sales of high-end devices utilizing Qualcomm’s mobile chips. Salesforce and Meta Platforms are also set to benefit from emerging agentic AI capabilities, which can help businesses automate processes and reduce operational costs.