AI Agent Architect’s Monday Morning Briefing 🌟
Week Commencing June 23rd 2025
Happy Monday!
Here’s what’s hot and what’s not in AI and Agentics over the last seven days 👇
Today's Digest (TL;DR) 📌
1️⃣ AI agents transforming business structures – Read more
2️⃣ Aisera's AI agent system launch – Read more
3️⃣ Surge in agentic AI projects predicted – Read more
4️⃣ AI agents auto-patching vulnerabilities – Read more
5️⃣ MIT studies on AI agent collaboration – Read more
The Agent’s Insight 🤖
What I’ve Observed or Learned on the Front Line in the Last 7 Days
Being British, this piece got my attention at the end of last week.
It suggests that AI agents are being looked at as promising a much-needed boost to productivity and competitiveness for the struggling UK economy, offering a path to overcome current growth challenges.
Considering the the hiring landscape, exacerbated the government increasing employer National Insurance (employment tax) contributions, businesses are under immense pressure to control costs. As such, widespread adoption of AI agents, despite being framed as "freeing talent," could be quietly leveraged as a convenient mechanism to reduce headcount and circumvent rising business expenses.
As someone that’s a big believer (and active practitioner) of Agentic solutions being able to scale businesses by reducing the load on human capital and giving businesses a chance to have more high-value human interaction, I’m thinking this is a potential Trojan Horse for my home country via a second order effect of a poor economic environment, higher operating costs and availability of automation technology.
How this really plays out? Only time will tell.
On My Radar Over the Last Seven Days 🛰
The Capgemini Research Institute produced a report on AI in Action. Solid methodological rigor with this one. 1,607 executives surveyed across 15 countries and 13 industries giving insights into AI adoption among large enterprises.
It’s a good read on the direction of AI trends among billion-dollar companies, but approach specific ROI claims with healthy skepticism.
The headline 1.7x return figure is self-reported without independent verification, and the research was conducted during peak AI hype when executives face pressure to demonstrate AI success.
If you want to read the report yourself, grab it here 👇. Though I warn you, it’s 100 pages long!
Job Market Insights of the Last Week ⌨💲
Strategic AI Talent Trends - AI Hiring Boom in Banking
Wall Street is leading the charge in AI hiring, with financial firms like JPMorgan and Goldman Sachs investing heavily in building in-house AI teams.
This trend is not just limited to finance; industries such as healthcare and retail are rapidly following suit, recognising AI as a foundational element rather than a competitive edge. As companies scramble to fill these roles, expect a significant shift in talent acquisition strategies across sectors.
Source
Emerging AI Roles & Career Paths - Prompt Engineer
This role is gaining traction as companies increasingly rely on generative AI tools, with salaries reaching up to $900,000 in Silicon Valley. Professionals in this field need a blend of technical skills, including proficiency in Python and experience with large language models (LLMs).
The demand for prompt engineers is expected to grow as businesses seek to optimise AI outputs and integrate these technologies into their workflows.
Source
Critical AI Skills in Demand - AI Fluency
As AI tools become ubiquitous, the demand for professionals who can effectively integrate these technologies into existing workflows is skyrocketing.
Companies are prioritising training in AI fluency, with 84% of leaders planning to invest in employee training over the next year.
Professionals can develop this skill through targeted courses and hands-on experience with AI applications in their respective fields.
Source
Contrarian Corner - Is the AI Infrastructure Boom is Sustainable? 😐
The prevailing narrative suggests that the demand for AI infrastructure, particularly high-end servers, will continue to soar, driven by companies like Super Micro Computer (SMCI) capitalising on the AI gold rush.
However, recent reports indicate a significant slowdown, with Super Micro's revenue plummeting 19% sequentially and a staggering 74% drop in stock price since March 2024, reflecting a market oversupply and delayed customer demand. This paints a different picture: the AI infrastructure market may be oversaturated, and the hype cycle appears to be peaking, leading to a potential contraction in demand for costly GPU clusters.
For AI leaders, this means reassessing investment strategies and focusing on operational efficiency rather than chasing the latest AI trends. Source
Key Trends of the Last 7 Days 📈
AI Agents Reshaping Workforce Dynamics
A Salesforce report reveals that 78% of UK organisations are integrating AI agents into workflows, with 81% of leaders believing these agents will transform organisational structures. This shift indicates a significant move towards automation and talent redeployment. Source
Aisera's Comprehensive AI Agent System
Aisera has launched a new suite of AI agents designed to enhance enterprise operations across HR, finance, and customer service. Early adopters report a 75% auto-resolution rate for issues, showcasing the potential for increased efficiency. Source
Predicted Surge in Agentic AI Projects
Capgemini forecasts a 48% increase in agentic AI projects by 2025, driven by positive ROI trends. This growth reflects a broader acceptance of AI technologies in operational processes, emphasizing the need for robust governance frameworks. Source
AI Agents in Cybersecurity
AI agents are now capable of auto-patching zero-day vulnerabilities before development teams can respond. This proactive approach significantly reduces the risk of exploitation and enhances overall security posture. Source
MIT Research on AI Collaboration
New studies from MIT explore how AI agents can negotiate and collaborate effectively with humans. Findings suggest that personality pairing between AI and human agents can enhance productivity and decision-making quality. Source
Research Papers of the Last 7 Days 📚
Negotiating with AI Agents
This paper explores how AI agents can negotiate effectively by interpreting flexible rules and adapting to human counterparts. The findings could significantly impact the design of collaborative AI systems. Link
AI Agents and Human Collaboration
Research indicates that personality traits of AI agents can enhance collaboration with humans, leading to improved outcomes in joint tasks. This insight is crucial for developing more effective AI-human teams. Link
AI in Cybersecurity
A study on the use of AI agents for auto-patching vulnerabilities highlights their potential to enhance security measures significantly. This research is vital for organizations looking to bolster their cybersecurity frameworks. Link
Agentic AI Governance
This paper discusses the challenges and best practices for governing AI agents, emphasizing the need for robust frameworks to manage risks associated with autonomous systems. Link
AI and Business Transformation
A comprehensive analysis of how AI agents are transforming business structures and roles, providing insights into future workforce dynamics. Link
🧰 Whenever you're ready, I might be able to help you.
Ready to up-skill and transform your career in the AI economy?
Join our paid subscribers to unlock the complete AI Agent Business Translator Toolkit - 18+ frameworks, tools, and templates. 7-day free trial included.
💌 Love this briefing?
You can support it (and get rewarded) by referring friends. Earn free months of subscription access.
I haven't seen any evidence that AI is reducing the load on human capital. On the contrary. With everyone having access to the same tools, productivity expectations are simply going up across the board. It's a Red Queen race.