MIT Technology Review » Artificial Intelligence 07月16日 22:23
These four charts show where AI companies could go next in the US
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布鲁金斯学会的一份新报告深入探讨了美国各地区在人工智能(AI)领域的发展情况,分析了AI在不同地区的渗透程度,并为应对挑战提出政策建议。报告指出,AI发展高度集中在科技中心,如旧金山湾区和波士顿。新兴AI中心虽具潜力,但在人才培养、创新和应用方面存在差异。报告还强调了学术界与产业界合作的重要性,以促进地方AI生态系统的发展。

⭐ AI发展高度集中于科技中心:报告将美国城市划分为不同等级,重点关注了AI准备情况。旧金山湾区被定义为“AI超级巨星”,波士顿、西雅图和迈阿密等大都市则被归为“AI明星中心”。这些地区在AI人才和初创企业方面占据主导地位。

🏢 集中化的工作和初创企业:大多数从事AI工作的人员和AI初创企业都集中在上述科技中心。报告显示,近三分之二的拥有AI技能的员工和超过75%的AI初创企业位于这些地区。

💡 新兴AI中心展现潜力但存在不足:除了大型科技中心,报告还提到了14个有AI发展潜力的地区,如麦迪逊、匹兹堡和纳什维尔等。这些地区在人才培养、创新或应用方面存在不同程度的限制,例如哥伦比亚(南卡罗来纳州)在人才培养方面面临挑战,而坦帕(佛罗里达州)则在创新方面有所滞后。

🤝 新兴中心倾向于产业或政府合同:这些新兴中心在吸引联邦研究合同或风险投资方面表现出专业化趋势。报告强调,加强学术界与产业界的合作,对改善当地AI生态系统至关重要。

No one knows exactly how AI will transform our communities, workplaces, and society as a whole. Because it’s hard to predict the impact AI will have on jobs, many workers and local governments are left trying to read the tea leaves to understand how to prepare and adapt.

A new interactive report released today by the Brookings Institution attempts to map how embedded AI companies and jobs are in different regions of the United States in order to prescribe policy treatments to those struggling to keep up. 

While the impact of AI on tech hubs like San Francisco and Boston is already being felt, AI proponents believe it will transform work everywhere, and in every industry. The report uses various proxies for what the researchers call “AI readiness” to document how unevenly this supposed transformation is taking place. 

Here are four charts to help understand where that could matter. 

1. AI development is still highly focused in tech hubs.

Brookings divides US cities into five categories based on how ready they are to adopt AI-related industries and job offerings. To do so, it looked at local talent pool development, innovations in local institutions, and adoption potential among local companies. 

The “AI Superstars” above represent, unsurprisingly, parts of the San Francisco Bay Area, such outliers that they are given their own category. The “Star AI Hubs,” on the other hand, include large metropolitan areas known for tech work, including Boston, Seattle, and Miami.

2. Concentration of workers and startups is highly centralized, too.

The data shows that the vast majority of people working with AI and startups focused on AI are clustered in the tech hubs above. The report found that almost two-thirds of workers advertising their AI skills work there, and well over 75% of AI startups were founded there. The so-called “Star AI Hubs,” from the likes of New York City and Seattle down to Columbus, Ohio, and Boulder, Colorado, take up another significant portion of the pie. 

It’s clear that most of the developments in AI are concentrated in certain large cities, and this pattern can end up perpetuating itself. According to the report, though, “AI activity has spread into most regional economies across the country,” highlighting the need for policy that encourages growth through AI without sacrificing other areas of the country.

3. Emerging centers of AI show promise but are lacking in one way or another.

Beyond the big, obvious tech-hub cities, Brookings claims, there are 14 regions that show promise in AI development and worker engagement with AI. Among these are cities surrounding academic institutions like the University of Wisconsin in Madison or Texas A&M University in College Station, and regional cultural centers like Pittsburgh, Detroit, and Nashville. 

However, according to Brookings, these places are lacking in some respect or another that limits their development. Take Columbia, South Carolina, for example. Despite a sizable regional population of about 860,000 people and the University of South Carolina right there, the report says the area has struggled with talent development; relatively few students graduate with science and engineering degrees, and few showcase AI skills in their job profiles. 

On the other hand, the Tampa, Florida, metropolitan area struggles with innovation, owing in large part to lagging productivity of local universities. The majority of the regions Brookings examined struggle with adoption, which in the report is measured largely by company engagement with AI-related tools like enterprise data and cloud services.

4. Emerging centers are generally leaning toward industry or government contracts, not both.

Still, these emerging centers show plenty of promise, and funders are taking note. To measure innovation and adoption of AI, the report tallies federal contracts for AI research and development as well as venture capital funding deals. 

If you examine how these emerging centers are collecting each, it appears that many of them are specializing as centers for federal research, like Huntsville, Alabama, or places for VC firms to scout, like the Sacramento area in California. 

While VC interest can beget VC interest, and likewise for government, this may give some indication of where these places have room to grow. “University presence is a tremendous influence on success here,” says Mark Muro, one of the authors of the report. Fostering the relationship between academia and industry could be key to improving the local AI ecosystem. 

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人工智能 AI发展 区域差异 科技中心 政策建议
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