Welcome back to 3 Tech Polls, HackerNoon’s Weekly Newsletter that curates Results from our Poll of the Week, and 2 related polls around the web.
Thanks for voting and helping us shape these important conversations!
Today, we try to answer the question of where AI’s REAL value lies, and where most people would point at the most-hyped use cases, it seems like the average HackerNoon reader thinks differently. Let’s dive in.
This Week’s HackerNoon Poll Results
Where is AI creating the most real value today?
AI is everywhere, but where is it actually creating the most real value today?
382 people voted! And it is clear that instead of viewing AI as a tool to replace a certain line of work, people are viewing AI as a tool to assist their daily workflow.
Software development dominated at 29%: a margin wide enough to call a consensus. For a community of developers and engineers like HackerNoon, this doesn’t come out as a huge shock. GitHub Copilot, Cursor, and code-completion tools have quietly become load-bearing infrastructure in how engineers ship. This shows a critical path in AI development. AI-coding is moving away from just experiments, they are now an integral part of every company’s shipping process.
But the real story is the middle cluster. Brainstorming & Ideation (21%), Web Search & Research (19%), and Data Analysis (17%) are nearly neck-and-neck. Together they account for 57% of the vote, and they all point to one pattern:
AI as a thinking partner, not just a task executor.
People are slowly getting better at using AI, and we’ve collectively passed the phase of outsourcing clicks. Today, they’re outsourcing cognitive load. What makes this harder to dismiss is that AI doesn’t reliably reduce cognitive load; it redistributes it, replacing doing with vigilance, and vigilance is its own form of mental expense. The tools are getting better at thinking; the unresolved question is whether we’re getting better at knowing when not to use them.
Customer Support comes in last at 14%, this is especially noteworthy, given that it’s been the enterprise AI pitch since day one. The tech-savvy HackerNoon crowd seems unconvinced that chatbot-tier deployment qualifies as “real” value. This likely reflects a gap between what companies deploy AI for versus what professionals experience as meaningful.
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Weigh in on the poll results here.
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Around The Web – Kalshi’s Pick
Over on Kalshi, people are raising a harder question. While on HackerNoon, we’re discussing where AI creates value, Kalshi people are questioning who’s going to control that value tomorrow? Currently, 38.3% of people think that the US government will take control of an AI company before 2030. The figure has climbed steadily since November, tracking real policy moves: Trump’s December 2025 Executive Order (CNBC, 2025) centralized AI regulation under federal authority, a reflection of a previous “soft nationalization” escalation path (Cheng & Katzke, 2024) that analysts have mapped out, involving export controls, security clearances, and potential equity stakes.
Around The Web – Polymarket’s Pick
Over on Polymarket, the question isn’t where AI creates value; it’s whether AI can own culture. Currently, only 12% of people are thinking that we’re going to get AI-generated song hits #1 on any Billboard chart by June 30, down 36% from a March peak at near 75% – a collapse that tracks a hard reality check: while IngaRose’s “Celebrate Me” (Forbes, 2026) hit #1 on global iTunes in April and Breaking Rust topped Billboard’s Country Digital chart (The Register, 2025) in November, people on Polymarket have drawn a firm line between iTunes and a full Billboard crossover. This is also a sign that people have put their feet down in rooting against AI-generated art – we’ve had our fun, but it has to stop. Music is a human emotional outlet, and nothing will ever come close to the value of a good, genuine song.
You can run code, but you can’t run art.
Join the Conversation
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Vote in this week’s poll: Apple Killed a $100M Vibe Coding App While Building AI Into Xcode. Fair or Foul?
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We’ll be back next week with more data, more debates, and more donut charts!