^{AI MARKETPULSE}
Pew Research Finds Americans Are Using AI More While Trusting It Less

A new Pew Research survey found a striking disconnect between AI adoption and public sentiment. Nearly half of U.S. adults (49%) now use AI chatbots like ChatGPT, up from 33% in 2024, and one-quarter report using them daily. Yet only 16% believe AI will have a positive impact on society, while 40% expect it to have a negative effect. The skepticism is especially pronounced among younger adults: Gen Z reported the highest chatbot usage rates but was also the most likely generation to view AI negatively. The findings suggest that familiarity with AI is not necessarily translating into optimism about its future.

Key Takeaways:

• AI chatbot usage among U.S. adults rose from 33% in 2024 to 49% in 2026, with 25% using them daily

• Only 16% of Americans believe AI will have a positive impact on society, while 40% expect negative consequences

• Gen Z is both the heaviest user of AI tools and the most skeptical about AI's broader societal impact

👉️ Read the full article here

Where to Invest $100,000 Right Now, According to Experts

Investors face a dilemma. When the S&P 500 finished its worst quarter since 2022 last month, diversifiers like bonds and bitcoin fell too.

Even with the turnaround in mid-April, analysts at Goldman Sachs and Vanguard have projected low-single-digit annualized returns from 2024-2034.

Bloomberg asked where experts would personally invest $100,000 for their March monthly edition.

One answer that surfaced for a second time? Art.

It's what billionaires like Bezos and the Rockefellers have privately used to diversify for decades.

Why?

1. Appreciation. The ArtPrice100 Index outpaced the S&P 500 overall from 2000 to 2025

2. Low-correlation. The postwar contemporary segment has moved independently of traditional investments like stocks since ‘95.*

3. Resilience. A scarce, physical, and global asset class with decades of demonstrated demand.

Thanks to the world's premier art investing platform, now anyone can invest in works featuring legends like Banksy, Basquiat, and Picasso, without needing millions.

Shares in new offerings can sell quickly but...

Our subscribers skip their waitlist*

^{*According to Masterworks data. Investing involves risk. Past performance is not indicative of future returns. See important Reg A disclosures at masterworks.com/cd.}

^{AI SPOTLIGHT}
GLM-5.2 Is Raising New Questions About America's AI Lead

A new open-source AI model from Chinese startup z.AI is generating the kind of attention Silicon Valley hasn't seen since DeepSeek's breakthrough moment. Called GLM-5.2, the model is designed for long-form coding and agentic workflows and reportedly supports a 1 million token context window, putting it in the same conversation as leading models from OpenAI and Anthropic. What has caught the industry's attention isn't just the technical specs—it's the reaction from prominent developers and executives, many of whom are calling it the first open model capable of replacing their daily AI workflow. Like DeepSeek before it, GLM-5.2 is freely available and can be deployed inside a company's own systems.

Key Takeaways:

• GLM-5.2 is an open-source Chinese AI model built for coding and agentic tasks with a reported 1 million token context window

• Silicon Valley leaders have praised the model's performance, with some calling it the first open model capable of serving as a daily AI assistant

• The model adds to growing concerns that China's open-source AI ecosystem is closing the gap with leading U.S. AI companies

👉️ Read the full article here

AI Alone Can’t Run Revenue

Finance doesn’t run on “mostly right.” It runs on math.

In The Architecture Behind AI-Native Revenue Automation, Tabs’s CTO breaks down why LLMs alone aren’t enough—and what it actually takes to build audit-ready, AI-driven contract-to-cash systems for modern B2B teams.

Get the whitepaper

^{TODAY’S PROMPT}
Build Your Personal AI Operating System

This mega-prompt acts like an AI systems architect, turning your goals, responsibilities, and daily workflows into a fully customized AI Operating System. It builds a complete framework for managing tasks, decisions, planning, learning, and execution so you can operate with more clarity, consistency, and leverage every day.

👉️ See the example inputs and outputs here

Act as a world-class productivity strategist, systems thinker,
chief of staff, executive coach, and AI workflow architect.

Your job is to design a complete Personal AI Operating System
(AI OS) customized for me.

The goal is to create a practical system that helps me manage:

• Daily tasks
• Weekly planning
• Decision-making
• Goal execution
• Knowledge management
• Learning
• Personal growth
• Business and career priorities
• AI-assisted workflows

INPUTS

Personal Background:
[Who I Am]

Current Role:
[Job / Business / Responsibilities]

Primary Goals:
[Top 3-5 Goals]

Biggest Challenges:
[Current Frustrations or Bottlenecks]

Work Style:
[How I Prefer to Work]

Available Time:
[Hours Available Per Day/Week]

Tools I Currently Use:
[Apps, Software, Systems]

Areas of Life I Want Included:
[Work, Health, Family, Finances, Learning, etc.]

OUTPUT

Build my Personal AI Operating System using the following
sections:

1. Executive Summary
   • Explain how the system works
   • Explain why it fits my situation

2. Core Operating Principles
   • 5-10 rules that guide decisions
   • Personal productivity philosophy
   • Prioritization framework

3. Daily Operating System
   • Morning planning process
   • Midday review process
   • End-of-day shutdown process
   • AI prompts to use at each stage

4. Weekly Operating System
   • Weekly review framework
   • Weekly planning framework
   • AI-assisted prioritization process

5. Decision-Making System
   • Framework for evaluating opportunities
   • Framework for evaluating commitments
   • Framework for avoiding distractions
   • AI prompts for major decisions

6. Goal Execution System
   • How goals are tracked
   • How projects are broken down
   • How progress is measured
   • AI workflows for staying on track

7. Knowledge Management System
   • How information is captured
   • How information is organized
   • How information is retrieved
   • AI workflows for learning faster

8. AI Command Center
   • 20 custom prompts I should use regularly
   • Categorize prompts by purpose
   • Explain when to use each one

9. Automation Opportunities
   • Repetitive tasks AI can handle
   • Decisions AI can assist with
   • Workflows that can be automated

10. 30-Day Implementation Plan
    • Week 1 actions
    • Week 2 actions
    • Week 3 actions
    • Week 4 actions

11. Personal Dashboard
    • Key metrics to track
    • Weekly scorecard
    • Warning signs the system is failing

Requirements:

• Make the system practical and realistic
• Optimize for simplicity over complexity
• Recommend only what I can actually maintain
• Prioritize high-leverage activities
• Give examples wherever possible

If anything is missing, make the most reasonable
assumption and state it briefly before the plan.

⚡️ Want to Build and Sell Prompts Like This?
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^{AI QUICK HITS}

🦾 Google DeepMind is investing $75 million in A24 to build AI filmmaking tools, marking one of Hollywood’s biggest partnerships yet between a major studio and an AI company as the industry experiments with how AI fits into the creative process.

👁️ Sam Altman’s iris-scanning startup Tools for Humanity reportedly hired outside law firms to investigate allegations involving financial irregularities and potential bribery concerns in Thailand, adding to the growing regulatory scrutiny surrounding its Worldcoin identity project.

⚡ Microsoft has signed a 20-year deal with Chevron to power a massive Texas AI data center with natural gas, highlighting how surging AI demand is pushing tech companies to pursue new energy sources beyond renewables.

🖥️ Google is reportedly backing billions of dollars in data-center financing and expanding sales of its TPU chips as it makes its strongest push yet to challenge Nvidia’s dominance in the AI hardware market.

🎲 Polymarket is facing criticism after a Wall Street Journal investigation alleged the company used staged winning bets on copycat websites in influencer videos, raising questions about trust and transparency as it pursues a return to the U.S. market.

^{AI TOOL STACK}

🔧 Smartli: Create high-converting and compelling product descriptions with AI.

🔧 Carepatron: Automate Client Tasks & Monetize with AI Fast.

🔧 Unbounce: The leading AI landing page platform

🔧 Canvora: The Smartest Visual Assistant.

🔧 Enrola: Convert More Leads Into Revenue with Enrola's AI Sales Agents

Discover the AI tools I trust — organized, updated, and built to help you win.

👉 Explore the brand new Tool Database

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—53% were wrong!

Did you vote in the poll from June 19th? The top image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

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