TLDR: Forrester’s latest research, “The Quiet Roar of Artificial General Intelligence,” reveals that Artificial General Intelligence (AGI) is advancing much faster than anticipated, moving from a theoretical concept to a practical reality. The report notes a doubling of AI task complexity every seven months since 2019 and a 1,000% decrease in foundation model costs over three years. This rapid progress is expected to cause significant workforce transformation and necessitates immediate AI readiness programs from enterprises.
New research from Forrester, titled “The Quiet Roar of Artificial General Intelligence,” indicates that Artificial General Intelligence (AGI) is progressing at an unprecedented rate, suggesting its practical realization is closer than previously thought. This rapid advancement is fundamentally altering expectations regarding AGI’s emergence and its potential societal and economic impacts.
Key findings from the report include a significant acceleration in AI capabilities: the complexity of AI tasks has doubled every seven months since 2019, and the costs associated with foundation models have decreased by an astounding 1,000% over the past three years.
Brian Hopkins, Forrester’s Vice President, Emerging Tech Portfolio, provided a pragmatic definition of AGI, stating, “We define AGI through a pragmatic and functional lens: software that can autonomously act in pursuit of goals across domains by learning new skills, collaborating with humans and machines, and building software tools.” This functional framing aims to provide business leaders with clear benchmarks to monitor AI’s technological evolution, particularly its practical applications within enterprise settings.
The research outlines a four-stage developmental path for AGI: the competent stage (domain-specific with supervision), the independent stage (cross-domain with minimal oversight), the strategic stage (autonomous across multiple domains), and the superintelligent stage (functioning independently across all knowledge domains).
Current AI systems are already demonstrating early AGI capabilities, handling complex tasks such as building computer vision models, generating peer-reviewed academic papers, and competing in mathematics competitions at a high level. These achievements are cited as evidence of technical complexity advancing at an unprecedented rate.
The report identifies three critical inflection points that will determine AGI’s development trajectory: overcoming technical challenges, the extent of investment, and geopolitical influences. Depending on these factors, AGI could either stabilize at any stage or accelerate rapidly through the stages. One projection suggests that costs for fully autonomous systems could potentially reach as high as $128 quintillion, underscoring the immense resources that may be required.
Forrester’s research points to significant ramifications for employment, with AGI expected to drive considerable workforce transformation across industries. Enterprises are advised to begin preparing immediately by developing comprehensive AI readiness programs. The findings suggest that AGI is likely to reshape the organization of knowledge workers and foster the emergence of digital workforces that operate collaboratively alongside human teams.
The introduction and widespread adoption of AGI also carry broad implications for global stability. While AGI could potentially help solve distribution issues and raise global living standards, it also presents risks such as concentrating economic and technological power, heightening geopolitical competition, and disadvantaging middle-income populations.
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Mike Gualtieri, Vice President and Principal Analyst at Forrester, emphasized the urgency of the situation: “While AGI’s long-term trajectory remains uncertain, what’s directly ahead is not: over the next five years, AI systems will evolve toward competence and increasing independence. The foundations organisations lay now in AI readiness, governance, and workforce preparation will determine whether they thrive or struggle as AGI reshapes every aspect of business. This isn’t a distant future concern; it’s happening today, and enterprises need to start thinking about it now.” The research strongly urges organizations to take immediate action in terms of policy, training, and investment to navigate the profound changes AGI is expected to bring.
