State of AI

Extracted Attributes

• Period

  Ongoing, started late 2010s, gained prominence in 2020s

• Industry Debate

  Open-source vs. Closed-source AI models

• Research Source

  Academia (top source of highly cited research)

• Societal Impact

  Transformation of how technology changes lives, advances in supercomputing, weather forecasting, scientific research, drug discovery, human health

• Key Technologies

  Generative AI (large language models, AI image generators), protein folding prediction

• Alternative Names

  AI boom, AI spring

• Infrastructure Focus

  AI Infrastructure Buildout, Inference Chips

• Performance Gap Trend

  Shrinking between top and 10th-ranked models

• Regulatory Trend (US)

  Patchwork AI legislation at state level, increasing federal regulations

• Public Sentiment (2024)

  High optimism in countries like China (82%), Indonesia (80%), Thailand (77%); lower in Canada (40%), US (39%), Netherlands (36%)

• Emerging AI Types (2025)

  Agentic AI, Small Language Models (SLMs), AI systems that learn while they work, autonomous agents

• Regulatory Trend (Global)

  Legislative mentions of AI rising across 75 countries

• Model Scale Growth - Datasets

  Doubles every eight months

• Model Scale Growth - Power Use

  Doubles annually

• Model Development Source (2024)

  Nearly 90% from industry (up from 60% in 2023)

• Model Scale Growth - Training Compute

  Doubles every five months

Timeline

• The AI boom period began. (Source: Wikipedia)

  2010s (late)

• Global legislative mentions of AI increased ninefold since this year across 75 countries. (Source: Web Search Results)

  2016

• The AI boom gained international prominence. (Source: Wikipedia)

  2020s

• Optimism for AI grew significantly in several previously skeptical countries (e.g., Germany, France, Canada, Great Britain, US) since this year. (Source: Web Search Results)

  2022

• Generative AI had its breakout year, according to McKinsey. US federal agencies introduced 29 AI-related regulations. Global legislative mentions of AI rose 21.3% since this year. (Source: Web Search Results)

  2023

• Nearly 90% of notable AI models came from industry (up from 60% in 2023). US federal agencies introduced 59 AI-related regulations (more than double 2023). Model scale continues to grow rapidly, with training compute doubling every five months, datasets every eight months, and power use annually. The score difference between the top and 10th-ranked models fell from 11.9% to 5.4%. (Source: Web Search Results)

  2024

• Pope Leo XIV warned of AI’s impact on youth. (Source: Web Search Results)

  2025-06-20

• More than a dozen U.S. states passed or proposed their own AI laws as federal regulation stalled, creating a patchwork of legislation. (Source: Web Search Results)

  2025-07-01

• Texas lawmakers passed a sweeping AI law aimed at governing both government and private sector use of the technology. (Source: Web Search Results)

  2025-07-06

AI boom

The AI boom is an ongoing period of progress in the field of artificial intelligence (AI) that started in the late 2010s before gaining international prominence in the 2020s. Examples include generative AI technologies, such as large language models and AI image generators by companies like OpenAI, as well as scientific advances, such as protein folding prediction led by Google DeepMind. This period is sometimes referred to as an AI spring, to contrast it with previous AI winters.

Web Search Results

• The State of AI: Global survey

  Previous State of AI research ----------------------------- Image 23: A dazzling burst of vivid blue light emanating from a focal point and stretching into slender strands with luminous tips. Survey ##### The state of AI in early 2024: Gen AI adoption spikes and starts to generate value Image 24: Abstract network of blue wires blossoming like vibrant flowers Survey ##### The state of AI in 2023: Generative AI’s breakout year Image 25: digital lines stock photo Survey [...] The survey findings also shed light on how organizations are structuring their AI deployment efforts. Some essential elements for deploying AI tend to be fully or partially centralized (Exhibit 1). For risk and compliance, as well as data governance, organizations often use a fully centralized model such as a center of excellence. For tech talent and adoption of AI solutions, on the other hand, respondents most often report using a hybrid or partially centralized model, with some resources [...] Our latest survey also shows how organizations are managing the time saved by their deployment of gen AI. Respondents most often report that employees are spending the time saved via automation on entirely new activities. They also often say that employees are spending more time on existing responsibilities that have not been automated. Respondents at larger organizations, however, are more likely than others to say their organizations have reduced the number of employees as a result of time

• Latest AI Breakthroughs and News: June, July, August 2025

  ### U.S. States Move Ahead With Patchwork AI Legislation Date: July 1, 2025 Summary: More than a dozen U.S. states have passed or proposed their own AI laws as federal regulation stalls. These laws vary widely, covering everything from facial recognition to automated hiring tools. Legal experts warn that conflicting state laws could create compliance headaches for businesses. The state-led push reflects growing urgency to regulate AI at all levels. Source:The New York Times [...] ### Texas Set to Roll Out Comprehensive AI Regulation Date: July 6, 2025 Summary: Texas lawmakers have passed a sweeping AI law aimed at governing both government and private sector use of the technology. The legislation includes transparency requirements, bias mitigation protocols, and a framework for AI audits. It’s one of the most extensive state-level AI laws in the U.S. Officials say it balances innovation with ethical safeguards. Source:NBC DFW [...] Summary: Mississippi has teamed up with Nvidia to launch a statewide AI education initiative aimed at middle and high school students. The partnership will introduce AI curriculum, teacher training, and resources across public schools. This move aims to prepare the state’s youth for future careers in technology and innovation. It reflects a growing national trend to integrate AI literacy at the K-12 level. Source:WXXV25 ### Pope Leo XIV Warns of AI’s Impact on Youth Date: June 20, 2025

• The 2025 AI Index Report | Stanford HAI

  In 2024, U.S. federal agencies introduced 59 AI-related regulations—more than double the number in 2023—and issued by twice as many agencies. Globally, legislative mentions of AI rose 21.3% across 75 countries since 2023, marking a ninefold increase since 2016. Alongside growing attention, governments are investing at scale: Canada pledged $2.4 billion, China launched a $47.5 billion semiconductor fund, France committed €109 billion, India pledged $1.25 billion, and Saudi Arabia’s Project [...] Nearly 90% of notable AI models in 2024 came from industry, up from 60% in 2023, while academia remains the top source of highly cited research. Model scale continues to grow rapidly—training compute doubles every five months, datasets every eight, and power use annually. Yet performance gaps are shrinking: the score difference between the top and 10th-ranked models fell from 11.9% to 5.4% in a year, and the top two are now separated by just 0.7%. The frontier is increasingly competitive—and [...] Skip to content , Indonesia (80%), and Thailand (77%), strong majorities see AI products and services as more beneficial than harmful. In contrast, optimism remains far lower in places like Canada (40%), the United States (39%), and the Netherlands (36%). Still, sentiment is shifting: since 2022, optimism has grown significantly in several previously skeptical countries—including Germany (+10%), France (+10%), Canada (+8%), Great Britain (+8%), and the United States (+4%). Image 6

• Five Transformative AI Technology Trends Shaping 2025

  Conclusion ---------- AI in 2025 isn’t just a tool—it’s a teammate, a strategist rolled into one. Agentic AI will handle tasks that once required entire teams. Models with tens of trillions of parameters will decode problems we thought were too messy for machines. Yet the most transformative advances might come from the smallest models: SLMs are already putting AI in places it’s never been. [...] In 2025, we’re witnessing more than just smarter algorithms; we’re seeing the arrival of AI systems that learn while they work, autonomous agents that strategize like seasoned professionals and models small enough to fit in your pocket yet powerful enough to compete against supercomputers. These advancements aren’t isolated—they’re converging to create AI that remembers, modifies and collaborates with human-like continuity. PROMOTED

• 6 AI trends you'll see more of in 2025 - Microsoft News

  “AI is already making the impossible feel possible, and over the past year we’ve seen significant numbers of people and organizations moving from AI experimentation to more meaningful adoption,” says Chris Young, executive vice president of business development, strategy and ventures at Microsoft. “This is the start of a full-scale transformation of how this technology will change every part of our lives.” [...] Over the past year, AI models became faster and more efficient. Today, large-scale “frontier models” can complete a broad range of tasks from writing to coding, and highly specialized models can be tailored for specific tasks or industries. In 2025, models will do more — and do it even better. [...] AI is already having a dramatic impact around the world, driving advances in everything from supercomputing to weather forecasting. It’s fueling historic breakthroughs in scientific research and promises to unlock new capabilities in the natural sciences, sustainable materials, drug discovery and human health.