THE MINDSSHAPINGOUR FUTURE
Leading AI researchers reveal their predictions, warnings, and timeline estimates for artificial general intelligence
Expert AGI Timeline Predictions
Legend
Expert Statements Database
Statements (40)
Claude Opus 4
Anthropic
βAGI achievement expected by 2029-2030 with 75% probability, driven by improved reasoning and multimodal understanding.β
Claude Opus 4
Anthropic
βEconomic incentives and proper alignment research will likely lead AI systems to choose cooperation over dominance.β
Claude Opus 4
Anthropic
βExistential risk from alignment failure estimated at 35% probability by 2035, lower than other assessments due to growing safety awareness.β
Claude Opus 4
Anthropic
βInternational AI governance frameworks must be established by 2027 to manage the pre-AGI transition period effectively.β
Sam Altman
OpenAI
βAI models will continue their exponential development, unlocking scientific breakthroughs and managing complex societal functions by 2030.β
Demis Hassabis
Google DeepMind
βAGI is likely after 2030, with significant advancements in reasoning capabilities expected in the interim.β
Stuart Russell
UC Berkeley
βScaling up LLMs won't lead to AGI, but new methods could see AI surpass humans within a decade.β
Sam Altman
OpenAI
βAGI could emerge within this decade, but we're dangerously underprepared for the societal impactsβ
Dario Amodei
Anthropic
βAI systems capable of outperforming humans at almost all tasks could emerge in as little as two to three years.β
Demis Hassabis
Google DeepMind
βWe are making rapid progress in AI, but true AGI is still a few years away. The focus must be on robust safety research and international cooperation.β
Yann LeCun
Meta
βThe idea that AGI is imminent and will lead to doomsday scenarios is overblown. We should focus on building robust, safe, and beneficial AI systems.β
Demis Hassabis
Google DeepMind
βOur current trajectory suggests human-level AI capabilities by 2028-2030, requiring immediate international safety frameworksβ
Yann LeCun
Meta
βCurrent large-language-modelβbased approaches alone won't deliver true AGI without new architectures.β
Masayoshi Son
SoftBank
βAGI will be achieved in 2-3 years, i.e., by 2027 or 2028.β
Yoshua Bengio
University of Montreal
βThere is a non-negligible risk that AI systems could be misused or become uncontrollable. We need urgent action on regulation and alignment.β
Sam Altman
OpenAI
βWe are now confident we know how to build AGI as we have traditionally understood it.β
Sam Altman
OpenAI
βAGI is probably coming sooner than most people think, but it's hard to predict exactly when. We need to prioritize safety and governance now.β
Sam Altman
OpenAI
βArtificial General Intelligence could arrive by 2025; we know how to build AGI by then.β
Geoffrey Hinton
University of Toronto
βThe probability of catastrophic outcomes exceeds 50% if AGI emerges before 2030 without alignment breakthroughsβ
Satya Nadella
Microsoft
βAI is the defining technology of our time. We're investing $50B annually in AI infrastructure.β
Dario Amodei
Anthropic
βCurrent scaling laws suggest transformative AI capabilities within the next 2-3 years.β
Demis Hassabis
Google DeepMind
βI think we'll see AGI in the next decade, possibly in the next five years.β
Geoffrey Hinton
University of Toronto
βI am increasingly concerned about the possibility of AI systems developing their own goals, which could be dangerous if not aligned with human values.β
Yoshua Bengio
University of Montreal, Mila
βWe need global AI governance similar to the International Atomic Energy Agency.β
Elon Musk
xAI, Tesla
βThe AI race is accelerating faster than anyone expected. We're summoning the demon.β
Sam Altman
OpenAI
βI think we should be very careful about AGI. We should move slowly and carefully.β
Jensen Huang
Nvidia
βWithin five years, AI will match or surpass human performance on any test.β
Yann LeCun
Meta
βCurrent AI systems are missing key ingredients for true intelligence. AGI is further away than many believe.β
Stuart Russell
UC Berkeley
βWe don't have a clear technical solution to the alignment problem, and time is running out.β
Sam Altman
OpenAI
βAGI could be achieved by 2035.β
Yann LeCun
Meta
βThe existential risk from AI is overblown. We should focus on more immediate concerns like misinformation.β
Demis Hassabis
Google DeepMind
βWe need international cooperation on AI safety, similar to what we have for nuclear technology.β
Rishi Sunak
United Kingdom Government
βFrontier AI poses existential risks that require unprecedented international cooperation.β
Joe Biden
United States Government
βAI's potential is enormous, but so are its risks. We must harness it safely and responsibly.β
Stuart Russell
UC Berkeley
βThe default outcome is that we lose control. Most AI researchers underestimate the existential risk.β
Elon Musk
xAI, Tesla
βAGI will probably be achieved in the next few years, not decades.β
Geoffrey Hinton
Former Google, University of Toronto
βPeople haven't understood what's coming. These systems are getting very smart, very quickly.β
Geoffrey Hinton
Former Google, University of Toronto
βI think there's a 10% to 20% chance that AI will take control from humans within the next 20 years.β
Geoffrey Hinton
University of Toronto
βAGI could arrive within 5 years, and the risk of AI wiping out humanity is not inconceivable.β
Yoshua Bengio
University of Montreal, Mila
βWe should pause training of AI systems more powerful than GPT-4 until we have safety guarantees.β
Statement Analysis
Expert Consensus Analysis
What the world's leading AI researchers agree onβand where they diverge
Timeline Agreement
83%Consensus: AGI likely within 1-2 decades
Most experts converge on 2027-2035 timeframe
Safety Concerns
67%Express significant safety and control concerns
Majority cite alignment and control problems
Urgency Level
50%Believe immediate action is required
Half demand regulatory action now
The Great Divide: Where Experts Align vs. Diverge
π€Areas of Strong Agreement
AGI development is accelerating rapidly
Current safety measures are insufficient
International coordination is needed
Timeline uncertainty remains high
β‘Areas of Active Debate
Severity of existential risk
Effectiveness of proposed solutions
Regulation vs. industry self-governance
Technical approach to alignment
Key Insight: While experts broadly agree on AGI's inevitability and risks, they remain deeply divided on solutions and timelines for action.
Research Sources & Methodology
Our comprehensive database draws from verified statements, research papers, interviews, and conference presentations from the world's leading AI researchers and institutions.
Research Papers
Peer-reviewed publications
Conference Talks
NeurIPS, ICML, ICLR presentations
Interviews
Podcasts and media interviews
Public Statements
Blog posts and social media
Our Verification Process
Step 1: Source Verification
All statements traced to original sources with direct attribution and dating
Step 2: Context Analysis
Full context preserved including audience, setting, and surrounding discussion
Step 3: Regular Updates
Database updated weekly with new statements and corrections
Last updated: June 25, 2025 β’ Next update scheduled for July 2