AI News Roundup – January 23, 2026
How Sam Altman Became the World’s Most Influential AI Leader
Sam Altman secured the top spot on the 2026 Top 100 Leaders list. The feature examines his pivotal role in transitioning AI from a specialist field into the mainstream of global business and political discourse.
AI Magazine
Jan 22, 2026
Davos Highlights Physical AI as Key Trend
At the World Economic Forum, industry titans including NVIDIA’s Jensen Huang and Qualcomm’s Cristiano Amon identified ‘Physical AI’—the integration of AI into the real economy via robotics and edge computing—as the next major industrial cluster.
ACN Newswire
Jan 22, 2026
Artificial Intelligence and the Great Divergence
The Trump administration released a pivotal strategy paper outlining a path for American AI dominance. It emphasizes massive infrastructure development and deregulation to accelerate the transition from AI hype to real-world economic expansion.
The White House
Jan 21, 2026
AI Reveals How Brain Activity Unfolds Over Time
Stanford researchers developed a deep learning model that transforms complex neurological data into clear trajectories. This breakthrough is expected to accelerate understanding of neurological diseases and emotional processing.
Stanford HAI
Jan 21, 2026
Rollout of AI May Need to be Slowed to ‘Save Society’, Says JPMorgan Boss
At Davos, Jamie Dimon warned that the rapid deployment of AI could lead to ‘civil unrest’ if governments and businesses do not coordinate to support displaced workers. He specifically highlighted the risk to 2 million commercial truck drivers as automation scales.
The Guardian
Jan 21, 2026
Where Are AI Investment Risks Hiding?
S&P Global Ratings released an analysis of the ‘circular financing’ model stabilizing the AI ecosystem. It warns that 2026 HBM supply is already sold out and that shifts in small-model architecture could devalue $100 billion in data center investments.
S&P Global
Jan 21, 2026
Critics, pollsters warn Canadians are wary of AI, want government to set guardrails
Recent polling reveals significant public anxiety in Canada regarding the rapid integration of artificial intelligence. Experts and critics are calling on the federal government to move beyond voluntary codes of conduct and establish formal regulatory guardrails to address concerns over job security, misinformation, and ethical oversight.
Yahoo Finance Canada
Jan 21, 2026
Looking Ahead at AI and Work in 2026
MIT researchers highlight the ‘human-LLM accuracy gap’ as the defining metric of 2026. While human accuracy remains static, frontier models are expected to surpass human performance in most enterprise cognitive tasks by the end of the year.
MIT Technology Review
Jan 21, 2026
Anthropic’s new Claude ‘constitution’: be helpful and honest, and don’t destroy humanity
An in-depth exploration of how Anthropic uses ‘Constitutional AI’ to shape Claude’s behavior. The article examines the technical and ethical framework—essentially a written set of principles—that the model uses to self-correct and align with human values without constant human intervention.
The Verge
Jan 21, 2026
‘We could hit a wall’: Why Trillions of Dollars of Risk is No Guarantee of AI Reward
An investigation into the staggering $2.9 trillion projected for data center spending. The report questions if the pursuit of AGI can justify these capital expenditures and warns of the systemic risks to US stock markets if returns fall short of expectations.
The Guardian
Jan 17, 2026
AI Talks 