Future of AI: Insights from 2,778 AI Researchers

In the rapidly transforming world of business, driven by the relentless evolution of AI, gaining a deep understanding of AI’s future trajectory is crucial for staying competitive. “Thousands of AI Authors on the Future of AI,” a landmark survey by AI Impacts engaging 2,778 top-tier AI researchers, provides an unparalleled look into what the future holds for AI.

This exhaustive survey published in January 2024, isn’t merely a collection of predictions; it’s a critical resource that offers a comprehensive overview of the potential advancements and challenges in AI. Among its key findings, the survey reveals a consensus that there’s a 50% chance of AI achieving high-level machine intelligence by 2047, dramatically reshaping how businesses operate. It also forecasts a significant milestone in AI’s capabilities by 2028, including tasks like autonomously building a payment processing site and composing music indistinguishable from top artists. Even more striking, it suggests a 50% probability of full automation of labor by 2116, indicating a long-term trajectory towards a fully automated workforce.

Let’s delve into why these insights are indispensable for every business owner aiming to future-proof their enterprise.

AI’s Near-Future Capabilities:

  • Autonomous Creation and Innovation: By 2028, AI is projected to autonomously build a payment processing site from scratch and compose music indistinguishable from that of popular artists like Taylor Swift. This highlights AI’s growing ability in creative domains and complex problem-solving.
  • Operational Efficiency: AI’s advancement signifies an opportunity for businesses to harness AI for streamlining operations. For instance, AI could optimize logistics, automate customer service, and enhance data analysis.
  • Key Statistics:
    • Over 50% chance of achieving these milestones by 2028.
    • This includes tasks that improve sample efficiency and AI-driven AI progress.
  • Business Implications:
    • Potential for new service offerings and innovative product development.
    • Opportunity to leverage AI for competitive advantage in market responsiveness and customer engagement.

The Rise of High-Level Machine Intelligence (HLMI):

Probability of HLMI. Source: Thousands of AI authors on the future of AI (2024)

  • Definition: HLMI is the stage where unaided machines can accomplish every task better and more cheaply than human workers.
  • Predicted Timeline: There’s a 50% chance of achieving HLMI by 2047, a significant advancement from previous estimates.
  • Business Impact:
    • Expect transformative changes in workforce management and operational structures.
    • Anticipate shifts in business models as AI integrates deeper into various industries.
  • Key Statistics:
    • 10% chance of HLMI by 2027, indicating rapid development in AI capabilities.
    • This forecast is 13 years earlier than previous predictions, underscoring an accelerating pace in AI advancements.

Full Automation of Labor (FAOL):

Probability of FOAL. Source: Thousands of AI authors on the future of AI (2024)

  • Definition: FAOL refers to the stage when all occupations are fully automatable by machines.
  • Long-Term Prediction: There’s a 50% probability of reaching FAOL by 2116.
  • Strategic Planning for Businesses:
    • This timeframe offers businesses an opportunity to strategically plan for a gradual transition to increased automation.
    • Emphasize upskilling and reskilling employees to work alongside AI systems.
  • Key Statistics:
    • Forecasts for specific occupations like truck drivers, surgeons, and AI researchers becoming fully automatable were also considered.
    • The 50% prediction for FAOL is 48 years earlier than previous surveys, reflecting a shift in expectations about the pace of automation.

Ethical Considerations and Social Impact of AI:

Source: Thousands of AI authors on the future of AI (2024)

  • AI-Enabled Misinformation and Public Opinion Manipulation:
    • The report indicates that 86% of respondents see the spread of false information, such as deepfakes, as a substantial or extreme concern.
    • 79% are concerned about AI’s role in manipulating large-scale public opinion trends.
  • Economic Inequality and Authoritarian Control:
    • 71% of the respondents are concerned about AI exacerbating economic inequality by disproportionately benefiting certain individuals.
    • The same percentage (73%) fears authoritarian rulers using AI to control populations.
  • Ethical AI Deployment:
    • The findings highlight the need for ethical guidelines and responsible AI deployment to mitigate these risks.
    • Businesses are called upon to consider the broader societal impacts of their AI applications.
  • Key Statistics:
    • Each of the surveyed scenarios was considered worthy of substantial or extreme concern by more than 30% of respondents.
    • Scenarios like AI letting dangerous groups create powerful tools (e.g., engineered viruses) received a 73% concern rating.

Diverse Views on AI’s Impact on Humanity:

  • Optimism and Pessimism Spectrum:
    • 68.3% of participants found good outcomes from HLMI more likely than bad, yet a significant portion (57.8%) considered extremely bad outcomes (e.g., human extinction) as a nontrivial possibility.
    • 64% of respondents spread their credence across a spectrum of outcomes, from extremely good to extremely bad.
  • Complexity of AI Impact:
    • The report underscores the complexity of AI’s future impact, with many respondents assigning high probabilities to both good and bad outcomes.
  • Key Statistics:
    • Despite optimism, 48% of net optimists gave at least a 5% chance to extremely bad outcomes, such as human extinction.

Risk of AI and Human Existence:

  • Probability of AI-Caused Extinction:
    • The survey shows that respondents estimate a median probability of 5% to 10% for AI causing human extinction or severe disempowerment.
    • Depending on the question framing, between 41.2% and 51.4% of respondents estimated a greater than 10% chance of such extreme scenarios.
  • Importance of AI Safety and Control:
    • These findings emphasize the critical need for prioritizing AI safety and control mechanisms in AI research and deployment.
  • Key Statistics:
    • The median estimates of AI causing severe negative outcomes remain consistently concerning, highlighting the importance of addressing these risks in AI development and application.


The insights from the survey “Thousands of AI Authors on the Future of AI” serve as both a beacon and a warning. The potential for AI to revolutionize industries with autonomous innovation and operational efficiency by 2028 is immense, but it comes with the responsibility to steer these changes ethically and sustainably. The prospect of high-level machine intelligence by 2047, potentially transforming every facet of business operations and workforce dynamics, calls for a proactive approach in adapting to these inevitable shifts.

In conclusion, this survey offers more than just predictions; it provides a roadmap for business owners and leaders to navigate the future of AI. It encourages us to embrace AI’s potential while being acutely aware of its risks and ethical implications. As we stand on the brink of a new era shaped by AI, let’s move forward with a strategy that harmonizes innovation with ethical considerations, ensuring a future where AI benefits not just businesses but society as a whole.


By 2028, AI is expected to make significant strides in various domains. One of the notable predictions is that AI will have the capability to autonomously construct a payment processing site from scratch, showcasing its growing proficiency in complex, task-oriented applications.

Additionally, AI is forecasted to reach a level of sophistication where it can create music indistinguishable from that composed by popular artists, indicating significant advancements in creative and artistic domains. These developments suggest a future where AI’s role extends beyond analytical tasks to more creative and complex problem-solving, presenting new opportunities and challenges for businesses and creators alike.

The survey highlights several ethical concerns associated with the rapid advancement of AI. A significant worry is AI-enabled misinformation, including the creation and spread of deepfakes, which could have profound implications on public trust and information integrity.

Another concern is the potential for AI to manipulate public opinion on a large scale, raising questions about the control and use of AI in influencing societal and political views. Additionally, there are fears that AI could worsen economic inequality, benefiting certain individuals or groups disproportionately.

Lastly, the potential misuse of AI by authoritarian regimes for population control poses a serious ethical dilemma, emphasizing the need for strict governance and ethical frameworks in AI development and deployment.

The survey reveals a diverse range of opinions among AI researchers regarding the long-term impact of AI on humanity. While a majority (68.3%) believe that the outcomes of high-level machine intelligence (HLMI) will be more good than bad, there is also a significant concern about potential negative impacts. This includes a considerable portion of respondents who consider extremely bad outcomes, such as human extinction, to be a nontrivial possibility.

This diversity in views reflects the complexity and uncertainty surrounding AI’s future impact, highlighting the need for cautious and ethical development of AI technologies to maximize benefits and minimize risks to humanity.

The advancements in AI are poised to transform business operations in profound ways. With the predicted rise of high-level machine intelligence (HLMI) by 2047, businesses can expect drastic changes in workforce dynamics, where AI could potentially perform tasks better and more cost-effectively than human workers. This shift will likely lead to a transformation in workforce management, with an increased focus on roles that complement AI capabilities.

Additionally, businesses may see significant changes in their operational structures, with AI streamlining processes and enabling new models of efficiency and productivity. To stay competitive, businesses will need to adapt to these changes, leveraging AI to enhance their operations while also addressing the ethical and workforce-related challenges that accompany these technological advancements.

In preparation for the increasing automation and AI integration, businesses need to adopt a strategic approach. This includes investing in upskilling and reskilling the workforce to ensure employees can work effectively alongside AI systems and adapt to new roles created by AI advancements.

Companies should also reassess and potentially remodel their business strategies to incorporate AI technologies, focusing on how AI can augment human capabilities rather than replace them. It’s crucial for businesses to stay informed about the latest developments in AI and automation, understanding how these technologies can be applied to their specific industries and operations. By doing so, businesses can harness the benefits of AI while mitigating risks and ensuring a smooth transition into a more automated future.

In light of AI advancements, business leaders are required to make strategic decisions that align with the evolving technological landscape. This involves incorporating AI into their core business strategies, ensuring that their companies are not only adopting new technologies but also adapting their business models to maximize the benefits of AI. Leaders must prioritize ethical considerations, ensuring that AI deployment within their businesses aligns with ethical standards and societal values.

This includes addressing issues like privacy, data security, and the potential impacts of AI on employment and society. Additionally, staying abreast of the rapid developments in AI and preparing for potential disruptions is crucial. By embracing a forward-thinking approach and fostering a culture of innovation and adaptability, business leaders can effectively navigate the challenges and opportunities presented by AI advancements.

Will Chen
Will Chen

Will Chen is an Australian tech and AI enthusiast with over two decades of experience in business and marketing. Known for being an early adopter of web, app, blockchain, and Web3 technologies, William has played a pivotal role in the digital innovation landscape. His insightful commentary has featured in various Australian news outlets. With a passion for AI and its transformative potential, William is dedicated to educating and empowering professionals and organizations to embrace and excel in the rapidly evolving tech world.

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