Issue #39 — 21st July 2025
Editor: Professor Alan Brown
Welcome to the latest edition of The AI Pulse for Digital Leaders. An expertly curated collection of essential articles, commentaries, and news stories from reputable sources. Do you know anyone who might be interested in AI Pulse. Have some news or looking to partner? Just get in touch at: [email protected]
Highlights in this edition include:
The UN Agency for Digital Technology reports that a new Global Initiative on AI for Food Systems has been launched to enhance productivity, resilience, and global food security through AI.
The Seismic Foundation has released its latest report based on a major survey that shows emerging tensions as people are beginning to see AI as something that could make their lives worse.
The Register reports that Meta has decided not to abide by the recently-released voluntary EU AI safety guidelines.
An opinion piece in CIO Magazine explains why autonomous AI agents create an autonomous security threat.
UKAuthority reports that the UK Government Digital Service (GDS) has published a set of principles for securing personal data in government services.
MIT Technology Review reveals that personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train AI image generation models.
An article from IE Business School looks at how AI is reshaping credit decisions and why balancing predictive power with transparency is key to ensuring trust in financial systems.
ZDNET reports that researchers from OpenAI, Anthropic, Meta, and Google have released a new paper warning that as training models become more advanced, they could cut off insights into how AI operates and makes decisions.
MIT Technology Review describes how to run useful LLMs from the safety and comfort of your own computer.
A CapGemini report explores the rise of agentic AI and why trust is the key to human-AI collaboration.
The UK Department of Science, Innovation and Technology (DSIT) and UK Research and Innovation (UKRI) have launched their compute roadmap for how the UK will power the use of AI.
As AI drives digital acceleration, the World Economic Forum (WEF) believes it’s time for tech standards to catch up.
The UN Agency for Digital Technologies asks, “Do we know how to measure AI’s environmental impact?”.
The Guardian reports that Meta’s CEO Mark Zuckerberg has said they will build a data center the size of Manhattan in a new push to deliver more AI products.
An HBR article looks at how AI can be a promising new tool for early-stage market research by simulating customer responses to product concepts.
The Guardian reports on a study by the Future of Life Institute that concludes companies pursuing artificial general intelligence lack credible plans to ensure safety.
MIT News asks if AI can really code based on an MIT study that maps the roadblocks to delivering autonomous software engineering.
An article in MIT Technology Review looks at how AI tech giants such as OpenAI and Anthropic can help students learn—not just cheat—even if real-world use suggests otherwise.
Tim O’Reilly discusses whether AI creates or destroys jobs and what happens when we move from “Day 1” to “Day 2” thinking.
A new Wharton Business School report looks at why business leaders are misjudging AI’s impact on the workforce.
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