• Future feels overengineered, expensive, and unfinished
- AI bosses, robot partners, smart devices with ads
- Startup ideas = old ideas + “AI / Quantum”
• Software jobs
- 2023 hiring boom is gone, fewer openings
- Still ~15% growth forecast till 2034
- AI tools won’t replace engineers in 2026
- New role emerging: "code janitors" fixing AI-written code
- H1B visa changes make cheap foreign hiring harder
• AI bubble status
- AI hype not over yet, but LLMs have plateaued
- GPT-5 disappointed, no true intelligence leap
- Many white-collar jobs at risk (managers, designers, analysts)
- AI companies still private → IPO wave will signal peak
- Possible major IPOs in 2026 (OpenAI, Anthropic, SpaceX)
• Robots & hardware
- Humanoid robots (Neo, Tesla Optimus, Figure) are gaining hype
- Tech is still weak, but funding is huge
- 2026 may see robots entering factories
• Wearables & XR
- Past AI wearables failed (Rabbit, Humane Pin)
- New attempts coming (OpenAI + Jony Ive)
- VR/AR is still niche and mostly unprofitable
- Apple Vision Pro flop, cheaper version rumored
• Chips & infrastructure
- Biggest winners: Nvidia, ARM, TSMC
- AI demand = massive GPU + electricity needs
- Intel was saved by the US government, “too big to fail.”
• Energy & nuclear
- Data centers running out of power
- Nuclear energy revival possible
- Small modular reactors for data centers are emerging
• Quantum computing
- Breakthroughs in 2025–26
- First real-world useful quantum algorithms
- Could dwarf the AI boom
- US vs China race intensifying
• Government tech
- Digital IDs and CBDCs expanding in Europe & UK
- Privacy concerns are increasing
- Smartphones becoming state-controlled gateways
• JavaScript ecosystem
- Node.js improves, native TypeScript support
- Deno adds built-in bundler
- Bun.js is gaining popularity (fast + built-ins)
- React is still dominant but improving
- New frameworks emerging (e.g., Ripple)
• Skill advice
- Understanding AI fundamentals > hype
- Strong engineering skills still matter
- Learning how AI actually works is key
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