
HackerNoon Technology Polls
HackerNoon readers are younger, wealthier and more educated than the internet's average.
These polls represent where forward thinking technologists see the industry headed.
AI coding agents are writing production code. Junior roles are quietly disappearing from hiring pipelines. Despite all that, complex systems still break in ways only experienced engineers can diagnose, and someone still has to define what gets built and why. So where does that leave "software engineer" by 2036? Cast your vote.
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Nowadays, you can work from home, from the office, or from both. Which do you prefer?
282 Voters
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276 Voters
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ChatGPT has traditionally offered free and low-cost access to its models, with expanded usage available through affordable options like ChatGPT Go and broader access to GPT-5.2. With OpenAI now planning to introduce ads on free and entry-level tiers—while keeping higher-priced plans ad-free—users are being nudged toward subscriptions in the $20–$30/month range.
694 Voters
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Amazon, Intel, and Microsoft are cutting thousands of roles to fund $100B+ in AI infrastructure. This trend represents a move from headcount-led growth to compute-led growth. Companies are flattening organizational structures to free up the massive capital required to build data centers, purchase custom silicon, and secure energy for AI models. What’s your take on this "Big Tech Pivot"?
146 Voters
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It feels as if the internet is in a rocky state, and it can tumble at any moment. In your opinion, what's the biggest risk to the open internet?
157 Voters
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CES never disappoints when it comes to robots. This year’s show was packed with humanoids that danced, boxed, played ping-pong, folded laundry, ran convenience stores, and even debuted in production-ready form.
122 Voters
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164 Voters
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The "Death of Generalist AI" refers to the end of the one-size-fits-all era. In its place, Small Language Models (SLMs) and Domain-Specific AI have emerged as the industry's workhorses. These models are trained on curated, high-fidelity data for specific sectors like law, healthcare, and finance, allowing them to outperform general models in accuracy and reliability within those niches. By running locally on hardware or on-premise servers, they prioritize privacy (data remains on-device), speed (zero cloud latency), and cost-efficiency.
162 Voters
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0 Voters