Newsletter: Signs of the Tech Revolution #34

Welcome to our Signs of the Tech Revolution newsletter. This week, you鈥檒l learn:
- Why everyone pretends to know more about AI than they actually do;
- Why do the public and AI experts see the future of AI so differently;
- How Shopify is forcing managers to justify hiring humans over AI;
- Why giants like Walmart and Microsoft are prioritizing skills, not just degrees;
- And more on the latest trends in AI, cloud computing, and the tech industry.
Let鈥檚 dive in.
News #1: Public Fears vs. Expert Views On AI
It often feels like the AI discussion happens on separate tracks, doesn鈥檛 it?听
Pew Research confirms this divide: AI experts largely see sunshine ahead (56% predict a positive impact, 76% see personal benefits), while the public is far more cautious (only 17% positive on impact, 43% fear personal harm).听
Job impacts? Experts are mostly optimistic (73% positive), but the public isn鈥檛 convinced (only 23%).听
Yet, common ground exists: both groups desire more personal control over AI and worry that government regulation won鈥檛 keep pace.
News #2: Prove AI Can鈥檛 Do Your Job First
Think AI is just a tool? At Shopify, it鈥檚 becoming the benchmark for resources.听
CEO Tobi L眉tke鈥檚 new directive is clear: before asking for more headcount, managers must demonstrate why AI can鈥檛 handle the task. It reflects a fundamental expectation for staff to leverage AI daily, tackling even "implausible tasks" and achieving massive productivity gains.听
This "AI-first" approach to justifying resources, tied to performance reviews amid flat headcount, signals a huge operational shift. It certainly makes you think how many companies will follow Shopify鈥檚 decision.
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News #3: Skills Over Degrees
Major players like Walmart, Microsoft, and Blackstone seem to think the four-year degree is losing its value, backing a shift toward skills-based hiring. They鈥檙e collaborating on a "Skills-First" initiative to define specific, verifiable skills needed for key roles 鈥 think of it as creating a common currency for talent.听
They鈥檙e mapping out competencies, proficiency levels, and even wage premiums for skills like Python or UX design. It鈥檚 a practical response to finding talent and offering clearer career paths, especially when job requirements (like AI skills) change quickly.听
It鈥檚 a shift in how companies value capability and opens the door for many people who couldn鈥檛 afford higher education.
News #4: Agentic AI Across Clouds
Feeling lost in the flood of AI agents? Google Cloud gets it.听
At their Cloud Next event, they announced plans to simplify things, launching an "Agent2Agent" protocol so different AI agents can actually work together across platforms.听
Big partners like Accenture, Deloitte, and KPMG are all-in, creating ready-to-use agents (Deloitte alone has over 100) for specific industries 鈥 think healthcare, finance, and HR. It鈥檚 a push to move AI from interesting experiments to real-world tools that automate tasks and deliver tangible ROI.听
Making the complex manageable is always a smart business move.
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Other News
- About one in eight (80% in the US, 77% in the UK) of employees admit to pretending to know more about AI than they actually do. C-suite executives admit to exaggerating even more 鈥 91% of them exaggerate -
- Key insights from Stanford鈥檚 2025 AI Index, including graphs on performance, investment and public opinion -
- Latest reports show AI model performance improvements show no sign of slowing -
- EU鈥檚 push in the global AI race, the new strategy focuses on infrastructure and streamlined regulation -
- White House orders federal agencies to appoint chief AI officers and strategize AI expansion -
- Google is challenging rivals with new AI chips and agent ecosystem developments -
- Google affirms massive $75 billion AI infrastructure bet amidst competitor cutbacks -
- Report highlights increasing cyberattack risk for bots and digital agents -
- IBM targets AI workloads with new z17 mainframe hardware rollout -
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