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The breakthrough launch of ChatGPT in November 2022 sparked widespread questions about artificial intelligence and the future of work. How would generative AI reshape jobs and industries? Would certain roles become obsolete? How should education and training programs prepare workers for an AI-integrated workplace? To understand AI’s actual labor market impact, researchers examined unemployment patterns and hiring trends in AI-exposed occupations between 2022 and 2024 in a new study.

All too often, jobseekers and employers seem to exist in non-compatible realities. While jobseekers flood the job market with descriptions of their generalized skills in communication, leadership, and problem-solving to fill various roles in different sectors, employers are looking for the more specific skills that will get the job done, say the authors of a report from the Wharton School and Accenture. And they propose that AI is accelerating this shift from a role-based economy to a skills-based economy.

In 2024, nearly 628,000 job postings demanded at least one AI skill, according to research from the Federal Reserve Bank of Atlanta’s Center for Workforce and Economic Opportunity. The research also revealed that the percentage of all job postings requiring at least one AI skill increased from approximately 0.5% in 2010 to 1.7% in 2024.

If you are an entrepreneurship service organization (ESO), you likely are seeing more companies within your scope adopting artificial intelligence (AI). But how well do you understand their needs for further assistance with the transformative platform technology?

The AI market is projected to reach $4.8 trillion by 2023—a 25x increase in just 10 years, according to the UN Trade and Development (UNCTAD) 2025 Technology and Innovation report. The technology will be leap-frogging other “frontier tech markets,” including the Internet of Things, which currently dominates 36% of the market for emerging platform technologies. The super-charged AI market will impact up to 40% of global jobs, both positively and negatively.

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By automating routine tasks, improving data analysis, and enhancing marketing efforts, AI can revolutionize how small firms conduct business—and that should impact the type of assistance technology-based economic developers offer their innovation-driven entrepreneurs. Understanding how small business owners perceive and utilize AI is crucial for developing strategies that support their growth and competitiveness. 

The National Science Foundation, on behalf of the White House Office of Science & Technology Policy (OSTP), is providing the opportunity for public input toward the development of a national Artificial Intelligence (AI) Action Plan, as directed by President Trump’s Executive Order 14179.

The federal government spending on non-defense AI R&D has increased from $560 million in fiscal year 2018 to $2.1 billion in 2023, according to the bipartisan House Task Force on Artificial Intelligence report released in the closing month of the 118th session.

A Notice of Funding Opportunity (NOFO) for a new artificial intelligence-focused Manufacturing USA institute is now available on Grants.gov. The U.S.

Note: This brief quasi-book review/book synopsis is the first item in an experimental new section of SSTI’s newsletter, potentially joining other regular sections such as Useful Stats, Fed/Leg News, State News, Member Updates, and Recent Research. Its periodic continuation after the contributions we present over the summer will depend on feedback from our members and Digest readers. Comments may be shared with skinner @ ssti.org

On Wednesday, a bipartisan group of senators published Driving U.S. Innovation in Artificial Intelligence: A Roadmap for Artificial Intelligence Policy in the United States Senate. The roadmap encourages the executive branch and the Senate Appropriations Committee to reach the $32 billion per year non-defense AI innovation spending level proposed by the National Security Commission on Artificial Intelligence.

While some college computer engineering profs may be advising their students not to worry about artificial intelligence derailing their salary projections and long-term career options, it would appear businesses are getting on with deploying the latest AI advances as quickly as possible to see what improvements might be made for the firms’ productivity rates and bottom lines. A recently released working paper from Germany’s Fraunhofer Institute for Systems and Innovation Research (Fraunhofer ISI) reports on an early analysis of AI adoption in the innovation research process.

On March 1, Massachusetts Gov.

Furthering his previous calls for the state to become "the Silicon Valley of quantum development" and part of a sweeping quest to remake the state a hub for the future of semiconductors, quantum, and AI, Illinois Gov. J.B.