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Paul Walton
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Paul Walton

AS SEEN ON
Snowy River Mail

Geo Focus

Coverage Attributes:

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Informative: 100 %

Themes Covered:

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Most Recent Topics:

  • Stock market
  • Bonds
  • Gold
  • Oil prices
  • Federal Reserve
  • US economy
  • Inflation
  • Interest rates
  • Currency exchange rates
  • Bitcoin
  • OPEC
  • China's economy

Pitching Insights

Paul Walton's coverage mainly revolves around finance and economy, with a strong emphasis on data-driven investment analysis. Given this focus, he would likely be interested in receiving pitches from financial analysts, economists, or industry insiders who can provide data-backed insights into stock market trends, bond performance, gold and oil price movements, interest rates impact on the US economy.

He appears to have a broad international perspective covering topics such as China's economy and OPEC along with the US market. Therefore experts familiar with global economic dynamics could also capture his attention.

Paul seems to prefer content that is heavily reliant on quantifiable data and quantitative analysis. Pitches should emphasize empirical evidence and statistical analysis when reaching out to him.

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Articles

Wiley

Agentic AI Systems: What It Is and Isn't

Agentic AI Systems: What It Is and Isn't

By: Rasha Alahmad, Vinay Singh, Ibrahim A. Elgendy, Paul Walton, Yogesh K. Dwivedi, Ayoung Suh

The rapid adoption of artificial intelligence (AI) is shifting from tools that assist human tasks toward self-directed, agentic AI systems capable of planning and executing complex goals with minimal oversight. However, a clear understanding of what distinguishes these systems from conventional AI agents and generative AI is lacking, obscuring their unique opportunities and risks. To this end, this article addresses that gap by defining the core concepts, technologies, and management approaches for agentic AI systems, which utilize planning, shared memory, tools, and multi-agent teamwork to complete complex tasks autonomously. By contrasting this paradigm with its predecessors, the paper synthesizes recent technical surveys, governance proposals, and early industrial deployments to highlight that while agentic AI enables transformative applications like end-to-end process automation and adaptive decision support, it also introduces significant challenges, including cascading errors, goal misalignment, and regulatory gaps. Finally, this paper concludes with strategic guidance for organizations and consumers to adopt the capabilities of these systems responsibly, emphasizing the imperative of maintaining transparency, accountability, and human oversight.

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