The Race to AGI: When Will We Reach Artificial General Intelligence?
Imagine an AI that's as versatile and clever as a human: one moment solving a complex business strategy puzzle, the next moment inventing a new scientific theory. That's the vision of artificial general intelligence (AGI), and it has experts both excited and anxious.
We'll explore what AGI really means and how it differs from today's AI, dive into predictions from leading AI figures like Demis Hassabis of Google DeepMind on when AGI might arrive, and discuss the far-reaching implications for business and society. We'll look at the potential benefits, from turbocharging innovation and productivity to tackling humanity's biggest challenges, as well as serious risks such as job displacement, economic inequality, and ethical dilemmas. Finally, we'll consider how AGI could reshape the future of work, why we may need to rethink economic models in a world with less human labour, and which human skills will still shine in an AI-driven economy.
Let's break it down in plain language, with a focus on what business leaders need to know, and a nudge to prepare for the changes ahead.
What is AGI and how is it different from today's AI?
Today's AI systems, often called "narrow AI", are very good at specific tasks, such as recognising faces, translating languages, or recommending films, but they operate within a limited domain. Artificial General Intelligence, by contrast, refers to a still-hypothetical form of AI that can understand or learn any intellectual task a human being can and apply that intelligence broadly across different domains. In simple terms, AGI wouldn't be confined to the tasks it was trained on, it could reason, plan, and adapt to new challenges much like a person would, whether driving a car, writing a novel, or solving an equation it has never seen before. There's no universally accepted test or definition for AGI yet, but many use "human-level cognition" as a shorthand.
Think of current AI as a collection of savants: brilliant in one area, clueless outside it. A chess AI can trounce any grandmaster but can't hold a conversation or do your taxes. AGI would be more like a well-rounded thinker, able to transfer knowledge from one field to another. This is a massive leap from narrow AI, and achieving it is something of a "holy grail" in technology.
OpenAI CEO Sam Altman suggests AGI could "elevate humanity" by enhancing productivity, creating abundance, and unlocking new knowledge. Of course, getting there is easier said than done, which is why experts still debate when (or even if) we'll arrive.
Predictions on the AGI timeline: what tech leaders are saying
Whether AGI is right around the corner or decades away depends entirely on whom you ask. Demis Hassabis. CEO of Google DeepMind, maintains that machines with human-level reasoning are probably at least a decade away. In a recent briefing, he estimated we're "five to ten years" from AGI, meaning sometime in the 2030s before AI can truly match human cognition. This is a more conservative stance than some of his peers.
Sam Altman of OpenAI takes a more aggressive view. In a blog post reflecting on OpenAI's progress, Altman stated the team is confident they "know how to build AGI" and predicted that the first rudimentary AGI agents could be joining the workforce by 2025, not decades away, but potentially within just a couple of years.
Others fall somewhere in between, or throw in caution. Geoffrey Hinton, often called the "godfather of AI", revised his timeline and now puts roughly a 50% chance that AI could be smarter than humans in 5 to 20 years, startling, given that only a few years ago many believed AGI was much further off. Andrew Ng urges scepticism, remarking: "I hope we get there in our lifetime, but I'm not sure." Yann LeCun. Chief AI Scientist at Meta, maintains that AGI "is not around the corner" and could still be many years, if not decades, away, and that if it ever arrives, it will come through gradual progress and a series of small advances, not a sudden breakthrough.
Surveys of AI experts produce a broad range of estimates, reflecting genuine uncertainty in this field. For business leaders, that uncertainty means preparing for multiple scenarios, AGI could surprise us and arrive early, or it could remain a distant prospect.
What could AGI do? Potential benefits for business and humanity
The upside is enormous, which is why companies are racing towards AGI. Sam Altman views it as a tool that will "enhance productivity" and "increase abundance" for society, allowing us to create far more value with less toil. Economists at Goldman Sachs project that advanced AI could raise global GDP by 7% (almost £7 trillion) over a 10-year period through significant productivity gains.
In the business context, AGI could become the ultimate knowledge worker, able to rapidly learn any domain, from finance to law to marketing, and generate insights or carry out tasks at superhuman speed. Imagine an AI that can research and design new drugs or materials round the clock, or an AI assistant that handles mundane tasks in your company, freeing human employees to focus on creative strategy and complex decision-making.
Beyond productivity, AGI could help tackle so-called "moonshot" challenges. According to a recent analysis published in Nature, a sufficiently advanced AI might tackle thorny global problems including climate change, pandemics, and finding cures for diseases such as cancer and Alzheimer's. For businesses, this means new opportunities and markets, curing a disease creates value in healthcare; solving climate challenges can spawn entire industries in clean energy and sustainability.
There's also a collaborative vision. Rather than replacing humans, many experts imagine AGI as a powerful tool working alongside people, an ultra-smart assistant that augments human capabilities. Employees armed with AGI could achieve far more in less time, whether writing software, negotiating deals (with AI crunching numbers and forecasting risks in the background), or designing products. New business models could emerge that were previously inconceivable, from personalised education delivered by an AI tutor for every student, to automatically generated virtual environments for training and entertainment. Some have likened AGI to having "a country of geniuses in a data centre" at your disposal.
The risks and challenges: job disruption, inequality, and ethical dilemmas
The flip side of AGI's potential is a set of very real concerns. Perhaps the most immediate is job displacement, if current AI automation is disruptive, AGI could be automation on steroids. A widely cited Goldman Sachs report estimated that generative AI could expose 300 million full-time jobs to automation in the coming years, spanning not just factory or clerical roles but also white-collar positions involving routine analysis or documentation.
Entire job categories might be redefined or even eliminated. This raises the spectre of unemployment and upheaval in the labour market on a scale not seen since the Industrial Revolution. Even if new roles are eventually created, the short-term transition could be very painful, andthose who do not upskill in time risk being left behind. The threat of growing economic inequality is substantial: if the benefits of AGI accrue mainly to company owners or those with the skills to build and operate these systems, the gap between the tech-savvy and everyone else could widen considerably.
Business leaders also face ethical and security risks. An AGI misaligned with human values, or placed in the wrong hands, could cause significant harm; for example, an AGI tasked solely with maximising profits might pursue reckless strategies, potentially manipulating markets or customers. Concerns about AI safety and control are serious: prominent voices in tech have compared the potential dangers of uncontrolled AGI to "summoning a demon", hyperbolic, perhaps, but the underlying concern is that an ultra-intelligent system might eventually operate outside our control, making it imperative to develop robust oversight mechanisms. Reliability, transparency in decision-making, and the ability to audit AI actions are essential, especially where human lives or major economic decisions are at stake.
How AGI could transform the future of work
Historically, technology displaces some jobs while creating new ones, the printing press put scribes out of work but created printers and editors; the automobile displaced horse-drawn carriages but led to mechanics, engineers, and new forms of logistics. AGI could accelerate this cycle to an unprecedented level. A Goldman Sachs study found that about 60% of today's workers are in occupations that did not exist in 1940, a reminder that technological revolutions do create new roles, even as they disrupt old ones. However, the short-term effects could be harsh if AGI automates tasks faster than new roles are generated.
Adaptation will be essential. We may need to rethink our economic models and social contracts to accommodate a world with significantly reduced human labour in certain areas. Ideas such as Universal Basic Income (UBI), where citizens receive a baseline income to cover living costs, are gaining fresh attention as a way to distribute the benefits of automation more equitably. Some have also proposed a shorter working week, for example, shifting to a four-day week, so that productivity gains translate into improved quality of life rather than simply higher output.
Education and upskilling are equally crucial. In an AI-driven economy, there will be high demand for individuals who can build, manage, and collaborate with intelligent machines, making digital skills, data literacy, and a solid understanding of AI as fundamental as reading and writing. Governments and companies will need to invest heavily in retraining programmes to help workers transition into emerging roles. Even as technology takes over many routine tasks, uniquely human skills such as creativity, critical thinking, and emotional intelligence are likely to remain in high demand.
The human advantage: skills that will remain in demand
Creativity, critical thinking, interpersonal skills, and emotional intelligence are areas where people excel and machines continue to lag behind. While an AGI might rapidly analyse data to propose a business strategy, a human leader uses judgement, intuition, and empathy to decide which strategy best fits the company's culture and values. Roles requiring complex human interaction, counsellors, nurses, teachers, and sales professionals building lasting relationships, depend on emotional intelligence and social nuance that is hard to replicate algorithmically.
As AGI rises, the skills most worth developing are:
Problem-solving in unstructured situations, identifying and solving problems without clear guidelines
Creativity and innovation
Leadership and teamwork
Emotional and social intelligence
A commitment to lifelong learning and adaptability will be the most valuable assets, enabling individuals to work effectively alongside AI. A data analyst might evolve into an "AI-enhanced strategist", using AI to handle routine analysis while focusing on higher-level decision-making. Similarly, a customer service representative might transition into a "customer experience manager", overseeing AI support systems while providing the human touch for complex issues.
Preparing for an AGI-powered world
AGI might still sound like science fiction, but the consensus is that it's a matter of when, not if. It could be five years, ten years, or longer, but given the rapid pace of AI progress, businesses and policymakers cannot afford to be caught off guard. The time to prepare is now. This means investing in upskilling and education to ensure employees can adapt to the evolving technological landscape, and rethinking organisational structures to foster effective human-AI collaboration, ensuring that the benefits of increased productivity are shared broadly across society.
For business leaders, the call to action is clear: if technology is replacing jobs faster than it is creating new ones, economic models must change to account for the reduction of human labour. Workers need support in acquiring the uniquely human skills, creativity, critical thinking, and emotional intelligence, that machines struggle to replicate. Policymakers must also get involved, updating educational curricula and social support systems to safeguard against the potential downsides of rapid technological change.
The future of work is being written now. With thoughtful action, we can write a future where technology and people prosper together.
References
Browne, R. (2025). AI that can match humans at any task will be here in five to 10 years, Google DeepMind CEO says. CNBC. https://www.cnbc.com/2025/03/17/google-deepmind-ceo-demis-hassabis-says-agi-coming-in-5-10-years.html
OpenAI. (2025). OpenAI Blog on AGI. https://openai.com/blog/agi
Hinton, G. (2023). Geoffrey Hinton on the future of AI and AGI. The Guardian. https://www.theguardian.com/technology/2023/aug/21/geoffrey-hinton-says-ai-may-surpass-human-intelligence
Ng, A. (2024). Perspectives on the timeline for AGI. Forbes. https://www.forbes.com/sites/andrewng
LeCun, Y. (2024). Why AGI is not around the corner. Fast Company. https://www.fastcompany.com/90667699/yann-lecun-the-ai-researcher-who-questions-agis-imminence
Goldman Sachs. (2023). Technology Driving Economic Growth: The Impact of Advanced AI. https://www.goldmansachs.com/insights/pages/technology-driving-economic-growth/
BBC News. (2021). The future of work: Is a shorter workweek coming? https://www.bbc.com/news/business-57417741
McKinsey Global Institute. (2023).What the future of work will mean for jobs, skills, and wages. https://www.mckinsey.com/featured-insights/artificial-intelligence/what-the-future-of-work-will-mean-for-jobs-skills-and-wages
World Economic Forum. (2023). Upskilling for the Digital Age. https://www.weforum.org/agenda/2023/01/upskilling-digital-transformation-jobs
Nature. (2020). Advanced AI and its potential to address global challenges. https://www.nature.com/articles/d41586-020-02419-8