2026 will see a major productivity boom for knowledge workers as AI assistants expand beyond coding to generate spreadsheets, presentations, and other office document formats.
“The same types of assistants that have been outputting code can now output any type of format... I think that's one of the big things you're going to see in 2026 is again just this productivity boom for knowledge workers.”
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Explanation
AI assistants have genuinely expanded beyond coding into office-document generation and broader knowledge work in 2026, but there's no dataset confirming a measurable 'productivity boom' at the scale implied.
AI coding assistant tools will evolve into full personal digital assistants (connected to email, files, and other data sources) that can perform tasks for users, becoming commonplace in 2026.
“So it feels to me like we just need one more layer of abstraction on top of a tool like that and you'll have your own personal digital assistant... I think in 2026, you could see that these types of tools again started as coding assistants, but now they become personal digital assistants. That could definitely happen this year.”
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Explanation
AI coding assistants have evolved into more general agentic personal-assistant tools connected to email and files in 2026, but 'commonplace' adoption at the mainstream-consumer level remains unverified.
The US will maintain a roughly 6-month lead over China in AI models, a 2-year lead in chips, and a 5-year lead in semiconductor manufacturing equipment.
“You look at chips maybe 2 years ahead. You go to the semiconductor manufacturing equipment it could be like 5 years.”
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Explanation
The US retains a lead across chips and semiconductor manufacturing equipment, but China has closed the gap faster than these specific margins suggest: Huawei now holds over half of China's domestic AI chip market and DeepSeek has demonstrated competitive frontier-adjacent models despite the chip gap, complicating a clean '6 months / 2 years / 5 years' framing.