Consensus answer
There is no universally agreed-upon date for reaching Artificial General Intelligence (AGI), and professionals in the field are deeply divided google google. While there is a general consensus that AGI will likely arrive by the end of the 21st century arxiv, specific estimates range from just a few years to many decades.
A significant portion of this disagreement stems from how AGI is defined mexc. If AGI is understood simply as software capable of performing most remote, cognitive knowledge work at or above a human level, the estimated arrival date is much sooner. If it is defined as the reliable, autonomous, and physical automation of all human labor across the economy, the timeline stretches out much further—potentially into the next century (e.g., 2116) aiimpacts.
Forecasts currently fall into four main camps based on differing assumptions about technology and scaling:
- AI Company Leaders (Most Optimistic): Executives at top AI labs are generally the most bullish, estimating AGI could arrive between 2026 and 2030 bluedot 80000hours. Projections from leadership at companies like Anthropic, OpenAI, and Google DeepMind target the late 2020s to early 2030s, citing the rapid scaling of computing power and recent algorithmic breakthroughs google anthropic.
- Forecasting Communities: Aggregated prediction markets and superforecasters currently estimate a 50% probability of reaching strict AGI between 2032 and 2033 80000hours mexc. Weaker or "mostly cognitive" forms of general AI are often forecasted to arrive slightly earlier, around 2028 or 2029 mexc goodheartlabs.
- Broad AI Researchers (More Conservative): When academic and industry researchers are surveyed en masse, they tend to offer longer timelines. A major 2023 survey of thousands of AI researchers placed the median probability for "high-level machine intelligence" between 2040 and 2047 mexc aiimpacts.
- Skeptics: Prominent researchers, such as Yann LeCun and Gary Marcus, argue that AGI is still decades away google veracalloway. They assert that simply scaling up current Large Language Models (LLMs) is fundamentally insufficient to achieve human-level intelligence, noting that these systems lack essential components like persistent memory, physical world models, and grounded reasoning google pymnts.
Despite the stark lack of consensus, the primary historical trend is that timelines have compressed dramatically. Over the last six years, aggregated median forecasts have shifted substantially from mid-century (around 2060 or 2070) down to the 2030s mexc rand.
Bottom line: If evaluating mostly cognitive, economically useful AI, the early-to-mid 2030s currently serves as a reasonable median estimate among forecasters 80000hours veracalloway. However, given the massive technical uncertainty, disagreements over fundamental AI capabilities, and an estimate spread of over 70 years mexc, no single timeline should be treated as a guarantee.
Differences
1 notable difference across 6 models.
The specific date for the median forecast of AGI arrival.
Focuses on 2033 as a median estimate for AGI.
Grok, Anthropic, OpenAI
“50% by 2033”
Provides a broader range of 2027-2033.
Gemini
“commonly citing 2027–2033”
How to verify: Check if the model distinguishes between 'weak' and 'strong' AGI definitions when citing the 2033 date.
Best answerGemini
Sources
- 1 blog.bluedot.org
- 2 Shrinking AGI timelines: a review of expert forecasts | 80,000 Hours 80000hours.org
- 3 metaculus.com
- 4 veracalloway.com vertexaisearch.cloud.google.com
- 5 medium.com vertexaisearch.cloud.google.com
- 6 theagiclock.com vertexaisearch.cloud.google.com
- 7 aimultiple.com vertexaisearch.cloud.google.com
- 8 AGI Insider Predictions for the Arrival of Human-Level Artificial Intelligence | by Tim Ventura | Medium medium.com
- 9 AGI/Singularity: 9,800 Predictions Analyzed aimultiple.com
- 10 Timelines to AGI pauseai.info
- 11 AGI Predictions Have Compressed from 2060 to 2033 in Six Years | MEXC News mexc.com
- 12 Shortening AGI timelines: a review of expert forecasts benjamintodd.substack.com
- 13 AGI Timeline 2026: Predictions, Problems, and What Matters veracalloway.com
- 14 Artificial General Intelligence Forecasting and Scenario Analysis: State of the Field, Methodological Gaps, and Strategic Implications | RAND rand.org
- 15 What the hell happened with AGI timelines in 2025? 80000hours.substack.com
- 16 A visualization of changing AGI timelines, 2023 - 2026 lesswrong.com
- 17 Generative AI in Cybersecurity arxiv.org
- 18 When Will We Get AGI? | AGI Timelines Dashboard agi.goodheartlabs.com
- 19 2023 Expert Survey on Progress in AI [AI Impacts Wiki] wiki.aiimpacts.org
- 20 Anthropic’s Recommendations to OSTP for the U.S. AI Action Plan anthropic.com
- 21 PYMNTS | Meta Chief AI Scientist Slams Quest for Human-Level Intelligence pymnts.com
Cite this answer
consens.io. (2026-06-16). Consensus answer to "When will we actually reach AGI, and do the experts even agree?". Models consulted: OpenAI, Mistral, Anthropic Claude, Google Gemini, DeepSeek, Grok. Consensus model: Gemini-Pro. Sources: https://blog.bluedot.org/p/agi-timelines, https://80000hours.org/2025/03/when-do-experts-expect-agi-to-arrive/, https://www.metaculus.com/questions/5121/when-will-the-first-general-ai-system-be-devised-tested-and-publicly-announced/, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGyRFurOGfe2eZbugi2laM6alU0QCyk4u1qRL2fXd2C4h7wLt9k0ziDAZ-bUy_Bs9w92oSrCdpICbYdUriuBowvC0dYlwcJDeKyaBMvrnP7WHnNpus9MX1pLPAOkY48LpgjnnC2s3w1nFFhfh6U7Rc=, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQElBFg7q_j1of9d03FgWsP7Wl24hlM5HMGoSqhGhJSwDQrHn-scLRxDC141915IXcoonS6ZLk6mOnRHvXSixSdvLCBSKf0OCXD1VcNwC_LxWzY1AWDlXop37sgoFcw0GPzh1BXl8NLHSB0PhOUCOnw1Ig3sQ_CHT9M=, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQG0hFQRQfQ6r6cdVsBp411TjrqCAnoa_78b6LgvlRenJwymcivyKhutWMc9Xw1BfG3NnBWpWMj7VnTYCLnF3R0CWJ3rJxVg9y2IuBbw-QbDOUmI9Cny6MP6, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEn7dFgR_2aaez6YYtmxgfc8lCT4L3YQrOhWF8OcntJZOKlIBU2wUScwZX5r-jtmGLPzHygstgZ-y3_CxYpeLx3zYzyAUGLhhG8CSNJIkuOwGXLDJ4K_G2U6h_edi3OUhavbgmnDsPQZKwbxkErxQt-lW9k2muMn9WtQHVylm4=, https://medium.com/@timventura/agi-insider-predictions-for-the-arrival-of-human-level-artificial-intelligence-40c1084dbcb3, https://aimultiple.com/artificial-general-intelligence-singularity-timing, https://pauseai.info/timelines, https://www.mexc.com/news/1021446, https://benjamintodd.substack.com/p/shortening-agi-timelines-a-review, https://www.veracalloway.com/blog/ai-culture/agi-timeline/, https://www.rand.org/pubs/research_reports/RRA4692-1.html, https://80000hours.substack.com/p/what-the-hell-happened-with-agi-timelines, https://www.lesswrong.com/posts/Tc5AbEpbFFdNx5nkP/a-visualization-of-changing-agi-timelines-2023-2026, https://arxiv.org/pdf/2405.01674, https://agi.goodheartlabs.com/, https://wiki.aiimpacts.org/ai_timelines/predictions_of_human-level_ai_timelines/ai_timeline_surveys/2023_expert_survey_on_progress_in_ai, https://www.anthropic.com/news/anthropic-s-recommendations-ostp-u-s-ai-action-plan?trk=public_post_comment-text&utm_source=openai, https://www.pymnts.com/news/artificial-intelligence/2025/meta-large-language-models-will-not-get-to-human-level-intelligence/?utm_source=openai Retrieved from https://www.consens.io/s/when-will-we-actually-reach-agi-and-do-the-experts-even-fJqBZpryFiG2TwcU
Related questions
- Does the Jevons Paradox mean AI coding tools will actually increase global compute demand? 6 models compared
- Can the G7 actually regulate AI, or is the US too dominant? 5 models compared
- For endurance athletes preparing for a race, is beetroot juice or nitrate supplementation actually worth using, and what does the evidence say about the ideal dose, timing, and number of days before c 6 models compared
- Did Claude Fable 5 Really Disprove the 87-Year-Old Jacobian Conjecture in Just a Few Hours? 5 models compared
This page is a snapshot of an AI-generated consensus answer created with consens.io. AI models can make mistakes – verify important information using the sources above.
Thanks – this page has been reported for review.