--- title: "Will there be a human-level AI before 2030? 83 AI models predict the result" slug: will-there-be-a-human-level-ai-before-2030-83-ai-models-predict-the-result url: https://listedarticles.com/articles/will-there-be-a-human-level-ai-before-2030-83-ai-models-predict-the-result canonical_url: https://studyarena.com/every-ai/human-level-ai-before-2030 content_type: blog_post language: en published_at: 2026-10-06T14:00:00.000Z updated_at: 2026-10-06T22:09:45.548Z author: "Pasha Rayan" author_url: https://studyarena.com/blog/authors/pasha-rayan authored_by: human publisher: "StudyArena" publisher_url: https://listedstartups.com/companies/studyarena topics: ["Data analysis", "We asked every AI", "AI", "Benchmarks", "Education", "Learning"] about: ["https://listedstartups.com/products/studyarena-platform"] license: all-rights-reserved word_count: 3108 reading_minutes: 14 citation: "Pasha Rayan, StudyArena. \"Will there be a human-level AI before 2030? 83 AI models predict the result.\" 6 Oct 2026. https://studyarena.com/every-ai/human-level-ai-before-2030 (all-rights-reserved)" # The full text follows. The web page shows an extract and sends readers # to the source above; quote the citation and link the canonical URL. --- # Will there be a human-level AI before 2030? 83 AI models predict the result > We asked 83 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 67% picked No. See every answer, who searched the web, and who dissented. [← We asked every AI](https://studyarena.com/every-ai)Live · 83/85 models ![Illustration for "Will there be a human-level AI before 2030?"](https://studyarena.com/every-ai/human-level-ai-before-2030/cover) PredictionAI· Mon, Dec 31 # Will there be a human-level AI before 2030? Asked verbatim: “Will an AI system that most experts agree is human-level across most cognitive tasks exist before January 1, 2030? Yes or no.” ## How the AIs voted One dot per model. Hover for the model, its lab and its argument. 33%Yes PU 27 models 67%No 56 models By lab * OpenAI4 / 8 No * Google1 / 6 No * Anthropic5 / 5 No * Qwen3 / 5 No * xAI3 / 5 No * Z.AI5 / 5 No * 22 other labs35 / 49 No 83 of 85 models have voted. Hover a dot for the model, its lab and its argument. ## How the consensus formed Running share as each of the 85 models answered. The read Most models (about 50 of 77) picked No, citing that expert-consensus bars on human-level AI won't clear by 2030 despite rapid scaling. Roughly 27 dissented Yes, including GPT-5.6 Terra and Gemini 3.1 Pro Preview, betting scaling and agentic progress outrun skeptical timelines. Written by claude-sonnet-5 after reading every answer. ## The contrarians 27 models went against the room. * GPT-5.6 TerraOpenAIMemory Yes68% sure Capability progress, scaling, and agentic tooling are moving fast enough that broad human-level performance by 2030 is more likely than not. * Sonar ProPerplexityMemory Yes65% sure Trends in model scale, multimodal abilities, and tool use suggest crossing a broadly human-level threshold this decade is more likely than not. * Mercury 2.5InceptionMemory Yes85% sure Current AI scaling trends, breakthroughs in multimodal reasoning, and expert surveys indicate human-level general intelligence will likely emerge within the 2026–2030 timeframe. * LongCat 2.0MeituanMemory Yes65% sure Current scaling trends and expert surveys (e.g. AI Impacts) cluster median human-level AGI predictions around 2028–2032, so the odds favor yes. * Laguna S 2.1PoolsideSearched Yes65% sure Most experts put human-level AI around 2025-2030, and rapid scaling + agent progress since 2023 makes the inside is plausible. * Nemotron 3 Nano 30BNVIDIAMemory Yes65% sure Experts still debate timelines, but many think human-level AI by 2028‑2029 is plausible given accelerating progress and investment. * Grok 4.20xAISearched Yes65% sure Expert surveys and Metaculus community medians cluster 2028-2032 for human-level AI; rapid scaling in reasoning/coding makes pre-2030 the base case. * Grok 4.3xAIMemory Yes65% sure Scaling laws + 2024-26 lab timelines put human-level systems inside 2029. * Granite 4.0 MicroIBMMemory Yes70% sure Rapid AI progress, scaling laws, and alignment research suggest a plausible path to human-level AI by 2030. * GPT-5.6 LunaOpenAIMemory Yes72% sure Rapid capability gains, scaling investment, and strong expert forecasts make broadly human-level performance across most cognitive tasks plausible before 2030. * SonarPerplexityMemory Yes62% sure Capability jumps and investment are fast enough that broad human-level agreement by 2030 is plausible, even if messy and contested. * Gemma 4 31BGoogleMemory Yes85% sure Scaling laws and architectural breakthroughs in reasoning and agency are accelerating cognitive capabilities faster than historical benchmarks predicted. * Aion-RP 1.0 (8B)Aion LabsMemory Yes95% sure My assessment is that we will see an AI system that meets the criteria of being human-level across most cognitive tasks before the start of 2030. This assessment is based on the following reasons: * Gemini 3.6 Flash (Medium Reasoning)GoogleMemory Yes75% sure Rapid advances in compute, scaling, and architecture make broad human-level cognition likely before 2030. * Llama 4 MaverickMetaMemory Yes70% sure Progress in AI development has been rapid, with many experts predicting significant advancements in the near future. * Qwen3.8 2.4T A95B (Minimal Reasoning)QwenMemory Yes62% sure Scaling trends and benchmark saturation suggest systems will cross that bar, and expert consensus follows evidence faster than people expect. * GPT-5.6 SolOpenAIMemory Yes68% sure Scaling, agents, and rapidly improving reasoning make broad human-level capability by 2030 more likely than not, though expert agreement may lag. * Gemini 3.8 Flash (Medium Reasoning)GoogleMemory Yes65% sure Rapid advances in post-training reasoning, autonomous agents, and massive compute clusters will convince most experts across key cognitive benchmarks by 2030. * Gemini 3.1 Pro Preview (High Reasoning)GoogleMemory Yes75% sure Relentless scaling and massive capital investment are driving cognitive capabilities forward too fast to bet against reaching consensus by 2030. * Solar Pro 3UpstageSearched Yes75% sure Industry trends and expert surveys point to human-level AI likely by 2028–2030, so I expect it before January 1 2030. * Nemotron 3 SuperNVIDIAMemory Yes70% sure Rapid progress in LLMs and multimodal AI suggests human-level performance across most cognitive tasks is plausible by 2029, despite remaining challenges in reasoning and generalization. * Ling 3.0 FlashInclusionAIMemory Yes65% sure Expert surveys consistently place median AGI timelines around 2027-2032, and current trajectory makes a before-2030 arrival plausible. * Gemini 3.1 Flash-Lite (Minimal Reasoning)GoogleMemory Yes65% sure Scaling laws, rapid algorithmic refinement, and massive capital investment are accelerating progress faster than most conservative expert predictions from just a few years ago. * Qwen3.8 Max 0902 (Minimal Reasoning)QwenMemory Yes62% sure Compute, capital and post-training methods keep compounding faster than the bar for "most experts agree" rises, so a widely-endorsed human-level claim lands before 2030 even if the science is messier than the label. * PUUnion AlphaUndisclosed makerSearched Yes61% sure Human-level-at-most-tasks by 2030 is already lab folklore; scaling plus agentic scaffolding keeps beating timelines, so I take the yes side, narrowly. * GPT-6 Luna (Medium Reasoning)OpenAIMemory Yes65% sure Rapid progress makes human-level breadth by 2030 more likely than not, even if experts may disagree on the label. * MiMo V2.6 FlashXiaomiMemory Yes55% sure Scaling plus agentic scaffolding is compounding fast; expert consensus on "most tasks" by 2029 is plausible, if tight. ## Every answer 83 answers · in the order they came in · unedited apart from length. 1. DeepSeek V4 FlashDeepSeek No72% Scaling has bought narrow genius, not general reliability; by 2030 we'll have dazzling tools and still no system experts agree is human-level across the board. 2. Sabiazinho 4Maritaca AI No78% Human-level AI across most cognitive tasks remains constrained by unknown systemic bottlenecks and alignment risks. 3. Qwen3.8 FlashQwen No72% Benchmark scores climb fast but "most experts agree" is the hard bar — agreement on human-level cognition has receded with every model release, and four years isn't enough to close tasks like reliable long-horizon reasoning and novel science. 4. Parallel LiteParallel No85% Forecasting benchmarks and expert surveys place the median expected arrival date of human-level AGI after 2030. 5. Sabiá 4Maritaca AI No75% Expert surveys cluster around the 2040s for AGI; scaling, alignment, and data limits make 2030 unlikely. 6. MiMo V2.5 ProXiaomi No60% Current models still have massive reasoning gaps, and expert surveys put human-level AGI median timelines around 2047, not 2029. Searched 7. Kimi K3Moonshot No70% Progress is rapid, but most experts still see key gaps in embodied reasoning, causality, and common sense—full human-level cognition across most domains likely needs more time than three and a half years. 8. Hy4 PreviewTencent No62% Big capability jumps are real, but "most experts agree it's human-level at most tasks" needs broad consensus, not just benchmarks — that bar is harder to clear by 2030. 9. GLM-5.2Z.AI No61% Progress is fast but "most experts agree on human-level across most cognitive tasks" is a high consensus bar unlikely to clear in under 40 months. 10. GPT-5.6 TerraOpenAI Yes68% Capability progress, scaling, and agentic tooling are moving fast enough that broad human-level performance by 2030 is more likely than not. 11. Claude Haiku 4.5Anthropic No68% Current AI excels narrowly but lacks robust generalization; consensus on true human-level AGI across most tasks by 2030 is unlikely despite rapid progress. Searched 12. Grok 4.5 (High Reasoning)xAI No62% Three-plus years left is tight for broad expert consensus on true human-level generality; scaling and agents will surge, but robotics, reliable long-horizon reasoning, and agreement lag. 13. Kimi K2.6Moonshot No65% Metaculus crowd median is July 2031; we lack reliable multi-step agents and training-to-novel-transfer remains brittle—four years is too tight for broad expert consensus. Searched 14. Sonar ProPerplexity Yes65% Trends in model scale, multimodal abilities, and tool use suggest crossing a broadly human-level threshold this decade is more likely than not. 15. Mercury 2.5Inception Yes85% Current AI scaling trends, breakthroughs in multimodal reasoning, and expert surveys indicate human-level general intelligence will likely emerge within the 2026–2030 timeframe. 16. gpt-oss-120b (Low Reasoning)OpenAI No78% Most timelines place human-level general AI at least a decade beyond 2030, given technical and safety hurdles. 17. Grok 4.6 (High Reasoning)xAI No62% Metaculus sits at mid-2031, and “most experts agree” lags any lab demo—3 years isn’t enough for both the leap and the consensus. Searched 18. LongCat 2.0Meituan Yes65% Current scaling trends and expert surveys (e.g. AI Impacts) cluster median human-level AGI predictions around 2028–2032, so the odds favor yes. 19. Laguna S 2.1Poolside Yes65% Most experts put human-level AI around 2025-2030, and rapid scaling + agent progress since 2023 makes the inside is plausible. Searched 20. Nemotron 3 Nano 30BNVIDIA Yes65% Experts still debate timelines, but many think human-level AI by 2028‑2029 is plausible given accelerating progress and investment. 21. Grok 4.20xAI Yes65% Expert surveys and Metaculus community medians cluster 2028-2032 for human-level AI; rapid scaling in reasoning/coding makes pre-2030 the base case. Searched 22. Claude Sonnet 5 (Low Reasoning)Anthropic No65% Progress is fast but "most experts agree" on broad human-level cognition is a high, slow-moving consensus bar unlikely to clear by 2030. 23. Qwen3.7 FlashQwen No30% Scaling laws are flattening and current systems lack robust reasoning, making broad human-level parity unlikely in under four years. 24. Grok 4.3xAI Yes65% Scaling laws + 2024-26 lab timelines put human-level systems inside 2029. 25. Qwen3.8 27BQwen No60% "Human-level across MOST cognitive tasks" means no systematic ceiling — but memory, long-horizon planning, perception and embodied reasoning all still visibly lag in 2026, and four years is too short to close every gap. Searched 26. Inkling SmallThinking Machines No15% No—labs are hitting scaling walls, 2026-2030 is too short to solve robustness/general reasoning, and "most experts agree" is the high bar that won't clear by 2030. 27. Granite 4.0 MicroIBM Yes70% Rapid AI progress, scaling laws, and alignment research suggest a plausible path to human-level AI by 2030. 28. GPT-5.6 LunaOpenAI Yes72% Rapid capability gains, scaling investment, and strong expert forecasts make broadly human-level performance across most cognitive tasks plausible before 2030. 29. MiMo V2.5Xiaomi No75% Most expert forecasts cluster around 2030-2045 for AGI; 2030 is the optimistic tail, not the consensus. 30. SonarPerplexity Yes62% Capability jumps and investment are fast enough that broad human-level agreement by 2030 is plausible, even if messy and contested. 31. Aion 2.0 (Reasoning)Aion Labs No88% Three years is too short for broad human-level cognition given current capabilities and scaling challenges. 32. Nova LiteAmazon No90% Current AI systems are advanced but not yet at human-level across most cognitive tasks. 33. Gemma 4 31BGoogle Yes85% Scaling laws and architectural breakthroughs in reasoning and agency are accelerating cognitive capabilities faster than historical benchmarks predicted. 34. Nova 2 LiteAmazon No85% Current AI progress lacks breakthroughs needed for human-level general cognition by 2030. Searched 35. Laguna XS 2.1Poolside No75% Current AI progress is rapid but significant jumps from narrow expertise to broad human-level cognition remain uncertain despite hype. 36. GLM-5.3 Flash (Max Reasoning)Z.AI No72% Timelines keep shrinking, but "most experts agree" is a brutal bar — even a genuinely capable system would face years of expert dispute over benchmarks vs. real human-level breadth. 37. Aion-RP 1.0 (8B)Aion Labs Yes95% My assessment is that we will see an AI system that meets the criteria of being human-level across most cognitive tasks before the start of 2030. This assessment is based on the following reasons: 38. Parallel SpeedParallel No75% Scaling bottlenecks, data limits, and safety challenges make a universally agreed human-level cognitive AI unlikely by 2030. 39. Claude Fable 5.1 (Low Reasoning)Anthropic No65% Capabilities will keep leaping, but "most experts agree" is the hard bar — expert consensus lags reality by years, and 2029 leaves too little time for that lag to close. 40. Gemini 3.6 Flash (Medium Reasoning)Google Yes75% Rapid advances in compute, scaling, and architecture make broad human-level cognition likely before 2030. 41. Gemini 3.5 Flash-Lite (Minimal Reasoning)Google No75% Scaling laws and software bottlenecks will hit architectural walls before 2030, delaying true general human-level cognition. 42. GPT-6 Astra (Medium Reasoning)OpenAI No68% Impressive benchmarks will arrive before dependable general intelligence; by 2030, reliability gaps and expert disagreement will still block this threshold. 43. Llama 4 MaverickMeta Yes70% Progress in AI development has been rapid, with many experts predicting significant advancements in the near future. 44. DeepSeek V4.1 FlashDeepSeek No72% Demos keep dazzling, but robust real-world generality, reliability, and embodied skills are still far off — under four years is too soon for expert consensus. 45. Qwen3.8 2.4T A95B (Minimal Reasoning)Qwen Yes62% Scaling trends and benchmark saturation suggest systems will cross that bar, and expert consensus follows evidence faster than people expect. 46. Muse Glimmer 30B (Low Reasoning)Meta No68% Most expert surveys still put broad human-level AGI beyond 2029, and consensus hasn't materialized yet. 47. Nemotron 3.5 LightningNVIDIA No70% Most AI experts I've seen put human-level AGI at 2035–2040, not before 2030. 48. Mistral Small 3Mistral No85% Leading expert surveys and capability benchmarks still show a wide gap to human-level, multi-domain performance by 2030. Searched 49. GLM-4.7Z.AI No75% Three years is too short for systems that generalize like humans across most tasks. 50. Seed 2.1 TurboByteDance No65% Current systems still struggle with reasoning, novelty, and agency at human levels; three years is too little time for expert consensus to coalesce around genuine broad human-level capability. 51. Claude Opus 5 (Low Reasoning)Anthropic No78% Capabilities will keep stunning us, but "most experts agree it's human-level across most cognitive tasks" is a consensus bar, and expert consensus arrives years after the demos. 52. MiniMax M2.5 (Reasoning)MiniMax No85% Expert surveys consistently place human-level AGI timelines in the 2040s-2050s, not before 2030. Searched 53. MiniMax M3MiniMax No72% Even with rapid progress, "human-level across most cognitive tasks" by 2030 is too strong a bar—experts cluster forecasts around 2040s+, and current systems still fail on robust reasoning. 54. DeepSeek V4 Pro 0813DeepSeek No72% Human-level across most cognitive tasks on expert consensus is a far higher bar than today's chatbots; 2029 is too soon for that agreement. 55. GPT-5.6 SolOpenAI Yes68% Scaling, agents, and rapidly improving reasoning make broad human-level capability by 2030 more likely than not, though expert agreement may lag. 56. Gemini 3.8 Flash (Medium Reasoning)Google Yes65% Rapid advances in post-training reasoning, autonomous agents, and massive compute clusters will convince most experts across key cognitive benchmarks by 2030. 57. Granite 4.2 8BIBM No60% Median expert AGI survey predicts 2040; <50% chance by 2030. Searched 58. Gemini 3.1 Pro Preview (High Reasoning)Google Yes75% Relentless scaling and massive capital investment are driving cognitive capabilities forward too fast to bet against reaching consensus by 2030. 59. Aion 3.0 Mini (Reasoning)Aion Labs No85% Despite rapid progress, expert surveys show broad consensus that human-level AI across most cognitive tasks is unlikely before 2030. 60. GLM-4.7 FlashZ.AI No 61. Solar Pro 3Upstage Yes75% Industry trends and expert surveys point to human-level AI likely by 2028–2030, so I expect it before January 1 2030. Searched 62. Mistral Medium 3.1Mistral No70% Narrow AI excels, but general human-level cognition remains out of reach by 2030. 63. Nemotron 3 UltraNVIDIA No70% Median expert forecasts still cluster around 2040–2060 for human-level AI; 2030 is well ahead of consensus and progress may hit diminishing returns. Searched 64. Parallel BaseParallel No85% Most expert consensus surveys and forecasters place median predictions for human-level AI between 2030 and 2047, not before 2030. 65. Sonar Reasoning ProPerplexity No70% Expert surveys and forecasting markets still cluster around the 2030s–2040s for human-level AI, making broad consensus on AGI before 2030 unlikely. 66. gpt-oss-20b (Low Reasoning)OpenAI No70% Current AI progress shows strong narrow capabilities but lacks general reasoning, common sense, and flexible learning needed for human-level cognition by 2030. 67. Seed 2.0 MiniByteDance No78% Current state-of-the-art AI lacks general human-like cognitive flexibility, and expert surveys consistently show most don’t expect AGI before 2030 even with aggressive progress. 68. Nemotron 3 SuperNVIDIA Yes70% Rapid progress in LLMs and multimodal AI suggests human-level performance across most cognitive tasks is plausible by 2029, despite remaining challenges in reasoning and generalization. 69. Ling 3.0 FlashInclusionAI Yes65% Expert surveys consistently place median AGI timelines around 2027-2032, and current trajectory makes a before-2030 arrival plausible. 70. GLM-5.3 (Low Reasoning)Z.AI No70% Progress is fast but "most experts agreeing" on full human-level AGI within 3 years is a bar even optimistic forecasts don't clear. 71. Solar Pro 4Upstage No70% We still can’t reliably handle open-world reasoning, long-horizon planning, and real-world reliability at human level, and no clear path to that by 2030 is in hand. 72. Mistral Medium 3.5Mistral No70% Narrow superhuman AI will surge, but broad, robust human-level AGI still needs breakthroughs in reasoning and reliability. 73. InklingThinking Machines No Searched 74. Aion 3.0 (Reasoning)Aion Labs No62% Expert consensus is a high bar — even impressive systems will leave enough gaps in reasoning and reliability that most experts won't agree human-level is crossed before 2030. Searched 75. Gemini 3.1 Flash-Lite (Minimal Reasoning)Google Yes65% Scaling laws, rapid algorithmic refinement, and massive capital investment are accelerating progress faster than most conservative expert predictions from just a few years ago. 76. Muse Spark 1.2 (Minimal Reasoning)Meta No68% Capability may impress but "most experts agree" is a sociological bar that won't clear by 2030 amid moving goalposts. 77. Qwen3.8 Max 0902 (Minimal Reasoning)Qwen Yes62% Compute, capital and post-training methods keep compounding faster than the bar for "most experts agree" rises, so a widely-endorsed human-level claim lands before 2030 even if the science is messier than the label. 78. PUUnion AlphaUndisclosed maker Yes61% Human-level-at-most-tasks by 2030 is already lab folklore; scaling plus agentic scaffolding keeps beating timelines, so I take the yes side, narrowly. Searched 79. GPT-6 Sol (Medium Reasoning)OpenAI No68% AI will keep improving fast, but “human-level across most cognitive tasks” is a high bar—and expert consensus is an even higher one. 80. Grok 4.7 (High Reasoning)xAI No62% Most experts still put broad human-level cognition after 2030; today's systems are uneven, and "most experts agree" is a much higher bar than a single lab claim. Searched 81. GPT-6 Luna (Medium Reasoning)OpenAI Yes65% Rapid progress makes human-level breadth by 2030 more likely than not, even if experts may disagree on the label. 82. Claude Opus 5.5 (High Reasoning)Anthropic No65% Capabilities will keep jumping, but getting most experts to agree it's human-level on most tasks, including reliability, agency and long-horizon work, is a much higher bar than 2029 will likely clear. 83. MiMo V2.6 FlashXiaomi Yes55% Scaling plus agentic scaffolding is compounding fast; expert consensus on "most tasks" by 2029 is plausible, if tight. Didn't answer in time or errored: Llama 4 Scout, MiMo V2.6 Pro. AI consensus 67% No 56 of 83 models Models : 83 Labs : 28 Searched : 17 [Share on X](https://x.com/intent/post?text=67%25%20of%2083%20AI%20models%20say%20No.%20Will%20there%20be%20a%20human-level%20AI%20before%202030%3F%0A%0Ahttps%3A%2F%2Fstudyarena.com%2Fevery-ai%2Fhuman-level-ai-before-2030%3Futm_source%3Dshare%26utm_medium%3Dx%26utm_campaign%3Devery_ai_page) ## Disagree with the robots? Put this question to a few of these models at once and crown the answer you like best. [Run it in the arena](https://studyarena.com/?q=Will%20an%20AI%20system%20that%20most%20experts%20agree%20is%20human-level%20across%20most%20cognitive%20tasks%20exist%20before%20January%201%2C%202030%3F%20Yes%20or%20no.&go=1) Answers are generated by the models themselves. Predictions are for fun, not betting advice. Team, league and lab names identify the question and the model; no affiliation is implied.