The Center for Data Innovation conducts independent research and formulates public policies to enable data-driven innovation in the public and private sector.
Washington, DC
Joined October 2011
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Data centers can bring substantial investment, but that alone doesn't justify public subsidies.
States need a consistent way to determine whether economic benefits outweigh costs to taxpayers.
Explore our proposed framework👇
vist.ly/5qqpb
Europe may never lead the race to build the most powerful closed AI models.
But it could become a global leader in open AI.
The EU should build on its strengths rather than compete on unfavorable terms.
Here's why ⤵️
vist.ly/5qnrj
The Deterring American AI Model Theft Act gives Congress a strong starting point—but it needs targeted fixes before becoming law.
Narrower definitions, stronger evidence standards, and research safeguards can protect U.S. security and innovation.
Read the full analysis👇
vist.ly/5qjwn
Real-world speech data can help AI systems better understand context, interruptions, and changes in tone.
In our 5Qs series, Christian Vestergaard of The Agentic Data Company explains why authentic conversations matter for reliable voice AI.
Read the interview⤵️
vist.ly/5qik7
As AI drives rapid data-center development, states face growing questions about infrastructure costs and economic benefits.
To address these challenges, states should adopt a common, industry-informed framework for evaluating projects...🧵
ALT Smiling person in suit next to text about data-center projects.
2/ The framework should assess electricity and water infrastructure needs, environmental impacts, tax revenues, employment, and public incentives.
This would help policymakers determine who pays, who benefits, and whether public support is justified.
3/ A consistent approach would give developers greater regulatory certainty while helping states attract investment, allocate infrastructure costs fairly, and support long-term economic growth.
Read more in our latest ⤵️
datainnovation.org/2026/10/e…
Calls from AI industry leaders to slow advanced AI development raise a critical question: Would a slowdown actually make AI safer?
Without clear evidence of the risks it would reduce, restrictions could impose costs without proven benefits.
Explore the argument 👇
vist.ly/5qcff
Concerns about data centers driving up electricity costs are legitimate. But stopping construction isn't the only answer.
Policymakers can establish rules that fairly allocate infrastructure costs while allowing investment.
Read more👇
vist.ly/5q9c2
Europe has just 5% of global AI compute capacity, compared with roughly 75% in the United States.
Competing to build the largest closed AI models may be unrealistic. Open models offer Europe another path.
@patrickgrady_ explains ⤵️
vist.ly/5q7zt
A government-mandated AI kill switch may sound like a straightforward safeguard against rogue AI agents.
But it could introduce new cybersecurity risks without solving the underlying problem of controlling autonomous systems.
Read why👇
vist.ly/5q3f9
Interested in AI, data, and technology policy?💡
The Center for Data Innovation’s free weekly newsletter brings together the latest news, original analysis, expert interviews, and interesting data visualizations.
📩 Subscribe:
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AI-driven robotics could help address labor shortages in hazardous industries.
In our 5Qs interview with Daniele Pucci, CEO of @G_Bionics, he explains how robots can take on demanding shipyard welding tasks while workers focus on skilled work.
🔗 Read the interview:
vist.ly/5pqhh
A global AI shutdown can backfire if users simply move to foreign or open-weight models that U.S. authorities cannot patch or monitor.
Congress should require evidence of a real security benefit before restricting U.S. models.
Read the full analysis👇
vist.ly/5pph2
Center for Data Innovation retweeted
Unlocking Indonesia’s AI potential requires policies that encourage innovation, strengthen digital trade, and create opportunities for economic growth.📈
Last week, ITIF President @castrotech joined the U.S.-Indonesia Digital Trade and AI Cooperation Forum, hosted by @USASEANBusiness, to discuss how Indonesia can foster an innovation-friendly AI ecosystem.
ALT Nine people in suits wave and smile on a stage with two flags behind them.
ALT Two men in suits sitting in chairs, one speaking into a microphone.
ALT Five people seated on stage engaging in a panel discussion with flags and a US-ASEAN Business Council podium.
ALT Two men in suits seated during a panel discussion, one speaking into a microphone.
AI adoption requires both technical skills and domain expertise.
Universities should prepare students not only to build AI systems, but also to evaluate and deploy them in organizational, legal, and policy settings.
Read how programs are evolving👇
vist.ly/5pjwi
Concerns about data centers driving up electricity costs are legitimate. But stopping construction isn't the only answer.
Policymakers can establish rules that fairly allocate infrastructure costs while allowing investment.
Read more👇
vist.ly/5pi8k
An Anthropic researcher estimates a greater than 10% chance of AI causing human extinction within a decade.
But no empirical model supports such a precise probability. AI safety policy should reflect evidence, not speculation.
Explore the argument ⤵️
vist.ly/5pe4r
Center for Data Innovation retweeted
AI could help bring back the dodo.
Colossal Biosciences is using AI to identify the genetic switches behind the extinct bird’s distinctive features, turning fragments of ancient DNA into new possibilities for genetic engineering.
AI for science offers enormous potential.
Center for Data Innovation retweeted
Are fears of AI-driven human extinction overshadowing the risks of slowing innovation? 🤔
In an interview with @Chosun, ITIF President @castrotech explains why policymakers should focus on accelerating AI development while strengthening safety measures, rather than slowing technological progress.
🔗 Read the interview:
vist.ly/5pcwj
