The use of robotics will increase productivity and has the potential to bring more manufacturing production work back to developed countries. As productivity increases, labor is likely to receive a significant share of the benefits.

Robotics and the Future of Production and Work

Given that the economy has been in an unprecedented productivity growth slump—and the baby boom retirement wave is rising—taxing automation equipment ranks as a singularly bad policy idea.

The Case Against Taxing Robots

Focusing on mitigating speculative concerns about AI will limit its development and adoption. Policymakers should instead encourage innovation while crafting targeted solutions for specific problems if they occur.

Ten Ways the Precautionary Principle Undermines Progress in Artificial Intelligence

An increasingly digitalized global economy requires ever-more digitally skilled workforces for nations to remain productive. Unfortunately, domestic and international assessments of digital skills show the United States is lagging its competitors.

Assessing the State of Digital Skills in the U.S. Economy

Blood-based multi-cancer early detection (MCED) technologies hold the promise to revolutionize America’s cancer-screening paradigm, dramatically expanding the range of detectable cancers and identifying them at earlier stages when cancers are more treatable. Policymakers should provide a supportive regulatory and coverage environment.

Seizing the Transformative Opportunity of Multi-cancer Early Detection

Join ITIF's Center for Data Innovation for a conversation with leading experts on the state of artificial intelligence and machine learning, the efforts by the public and private sectors to support related research and development, and the important policy steps that regulators and lawmakers should make to unlock these new opportunities.

Data Innovation Day 2016: Algorithms, Automation, and Public Policy

The United States has been a leader in artificial intelligence (AI) since the 1950s. But AI and other advanced industry leadership in the United States has been threatened by increased competition with China. Rob and Jackie sat down with Arthur Herman, a senior fellow and director of the Quantum Alliance Initiative at The Hudson Institute, to discuss how AI leadership in the United States has eroded and what policymakers can do to save it for the future.

Podcast: Back to the Future: Historical Lessons of U.S. AI Policy, With Arthur Herman

AI has the potential to transform drug development by enhancing productivity across the entire development pipeline, boosting biopharmaceutical innovation, accelerating the delivery of new therapies, and fostering competition to help improve public health outcomes.

Harnessing AI to Accelerate Innovation in the Biopharmaceutical Industry

China’s relentless drive and strategic investments in AI suggest it is only a matter of time before it catches up—if not surpasses—the United States’ early lead.

How Innovative Is China in AI?

In this challenging world, strong techno-economic cooperation between the United States and its closest allies is all the more critical, but can be undermined by the abuse of digital regulation that ultimately ends up placing undue burdens on American firms.

Comments Before the UK CMA Regarding Draft Guidance for the Digital Markets Competition Regime

While ITIF applauds the Commission for its efforts to evaluate the adequacy of California’s competition laws and consider possible changes, this comment highlights concerns with both the single-firm and concentration reports, and specifically regarding their respective legal and economic findings.

Comments for the California Law Review Commission Study of Antitrust Law Regarding Single-Firm Conduct and Concentration

If the proposed the proposed Artificial Intelligence and Data Act (AIDA) is implemented as is, Canada may not be able to fully realize the economic benefits that AI will bring.

Comments to the Canadian House of Commons Standing Committee on Industry and Technology Regarding the AI and Data Act

The United States needs to lead the world on the development and adoption of AI. If we can do that, in part through supportive policy and not restrictive regulations like the EU is introducing, U.S. workers will benefit significantly, especially if Congress makes the needed workforce and education policy changes.

Statement to the US Senate AI Insight Forum on “AI and the Workforce”

Concerns about artificial intelligence have prompted policymakers to propose a variety of laws and regulations to create “responsible AI.” Unfortunately, many proposals would likely harm AI innovation because few have considered what “responsible regulation of AI” entails.

Ten Principles for Regulation That Does Not Harm AI Innovation

Continued leadership in high-performance computing (HPC) as it enters the exascale era remains a key pillar of U.S. industrial competitiveness, economic power, and national security readiness. Policymakers need to sustain investments in HPC applications, infrastructure, and skills to keep America at the leading edge.

A New Frontier: Sustaining U.S. High-Performance Computing Leadership in an Exascale Era

Hodan Omaar speaks about the economic potential of AI in the United States at a panel discussion.

Hodan Omaar speaks about the economic potential of AI in the United States at a panel discussion hosted by Microsoft.

The Economic Potential of Artificial Intelligence

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Robotics and the Future of Production and Work

The Case Against Taxing Robots

Ten Ways the Precautionary Principle Undermines Progress in Artificial Intelligence