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Block just fired 4,000 people — a 40% workforce reduction. CEO Jack Dorsey called it AI-driven automation. The company reported $2.87 billion in profit, up 24% year-over-year. Their stock soared 24% after the announcement.

This isn't an isolated case. New research reveals that 59% of hiring managers openly admit they exaggerate AI's role in layoffs because it "plays better" with stakeholders than the truth: cost-cutting disguised as innovation. Meanwhile, only 9% of companies say AI has fully replaced actual job roles. The gap between AI hype and reality is a chasm — and your career is standing in the middle of it.

In this Wednesday bonus episode, we dissect the playbook companies are using to weaponize AI terminology, expose which workers are actually at risk (spoiler: not who you think), and give you the exact framework to determine whether your company is investing in automation or just using AI as cover for downsizing. If your employer has said the word "AI layoffs" in the last six months, you need to hear this.

Resource List
https://docs.google.com/document/d/1heA8HlFO73F46wUu8FJmusQn6-9lck6leCRrgN1VRgY/edit?usp=sharing

0:00 Introduction & The Block Layoff Case Study
3:00 The Financial Reality: Why AI Is Just a Convenient Excuse
6:00 Why the AI Narrative Is the Perfect Corporate Cover Story
9:00 The Survey Bombshell: 59% of Hiring Managers Admit to the Bluff
12:00 Exposing the Gap: The 9% Reality vs. the 93% Rhetoric
15:00 Case Study — The "Quiet Redirect" (Lasian's Playbook)
18:00 The Quiet Rehire & Introducing the 7-Point Framework
21:00 Framework Points 1–3: Profits, Job Boards & AI Implementation
24:00 Framework Points 4–6: ROI, Role Types & Timing
27:00 Framework Point 7: Ruling Out Other Causes
30:00 Protecting Yourself: Becoming the Human Exception
33:00 The Bigger Picture: Reclaiming Your Agency
36:00 Outro

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AI can automate your skills. It can execute your tasks. It can write your emails and analyze your data. But there's one thing it can't do: have coffee with the VP who wants to hire you.

Welcome to the relationship economy.

In this episode, we're flipping the narrative on job security in the age of AI. While everyone's panicking about automation and prompt engineering, the real advantage has been hiding in plain sight: your network. We're diving deep into why 70-85% of jobs are filled through personal connections, why this matters exponentially more in an AI-saturated market, and exactly how to build—or rebuild—a network that actually works.

You'll get a framework for auditing your current network, tier-by-tier strategies for expanding it based on where you're starting from, and the exact tactics—LinkedIn, informational interviews, the power of weak ties—that actually drive results. Plus, the counterintuitive reason why helping others might be your best career move.

This isn't networking advice from 1995. This is what works right now, backed by data and tested strategies; you can start this weekend.

Exercise to build your network

https://docs.google.com/document/d/1zoz35zBJa62BheldvXt04EOo_LSnN_3N/edit?usp=drive_link&ouid=113840015682063908259&rtpof=true&sd=true

[00:00:00] Intro (Surviving AI bumper)
[00:00:14] The Relationship Economy — Episode Title
[00:06:14] 75%: The Algorithmic Wall
[00:13:10] The Referral Bypass
[00:16:10] Weak Ties > Strong Ties
[00:19:16] The Science of Connections
[00:21:24] The "Sweet Spot" of Opportunity
[00:25:44] Quote: "As AI commoditizes execution…"
[00:27:18] Quote: "The best job lead you'll ever get…"
[00:27:50] The 3-Tier Network Audit
[00:35:58] The AI Inversion
[00:37:28] Quote Revisit: "As AI commoditizes execution…"
[00:38:08] 85%: The Hidden Job Market
[00:38:48] 30-Day Activation Plan
[00:42:22] Give 10x More Than You Take
[00:43:22] Outro CTA: Text 5 People This Weekend

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AI agents aren't working alone anymore — they're forming autonomous teams. And 40% of these multi-agent projects are failing. If you work in tech, project management, or enterprise software, this is the biggest career opportunity of 2026.

This episode breaks down the multi-agent AI orchestration revolution: what it is, why most companies are getting it wrong, and why their failure is creating four brand-new career roles that didn't exist six months ago.

In this episode, you'll learn:

• Why multi-agent AI orchestration is the defining enterprise trend of 2026
• The four emerging career roles created by companies failing at AI agent deployment
• Why 40% of autonomous agent projects collapse — and what that means for job security
• Your 30-day survival plan to position yourself in the agentic AI economy

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Surviving AI podcast, multi-agent AI, AI orchestration, agentic AI jobs, MCP protocol, A2A protocol, AI agents 2026, enterprise AI careers, Carlo Thompson, AI job creation, agent architecture, AI deployment failures, future of work, AI career strategy, autonomous systems jobs

The Current State of AI Agents

• The Pilot-to-Production "Death Valley": While 65% of enterprises are running AI pilots, only 11% actually reach production [03:50].
• From Geniuses to Teams: The industry is moving away from single "overwhelmed genius" models toward multi-agent systems where specialized agents (e.g., one for research, one for legal) collaborate in parallel [05:12].
• Agent Washing: A warning is issued against "agent washing," where vendors rebrand basic chatbots or scripts as autonomous agents. Only about 130 vendors currently sell legitimate autonomous agents [06:33].

The "HTTP Moment" for AI: Key Protocols

The video highlights two emerging open-source protocols that act as the "universal plumbing" for AI:

• MCP (Model Context Protocol): Created by Anthropic, this acts like a "USB-C for AI," allowing agents to connect vertically to enterprise tools (databases, Jira, Google Drive) without custom coding for every link [11:23].
• A2A (Agent-to-Agent): Spearheaded by Google, this protocol allows agents from different vendors (e.g., an OpenAI agent and a Google agent) to communicate horizontally to negotiate tasks and share results [14:46].

Why 40% of Projects Fail

1. Exploding Costs: Pilots are cheap, but production swarms can lead to astronomical API bills (e.g., jumping from $50 to $90,000) due to constant internal "chatter" between agents [19:46].
2. The Coordination Tax: Agents burn tokens not just for the final answer, but for every internal argument, self-correction, and retry they perform in the background [20:23].
3. Observability Black Boxes: Unlike traditional code, it is difficult to trace exactly why a non-deterministic agent swarm failed or made a specific decision [21:49].
4. Boundary Violations: 80% of companies report agents taking unauthorized actions—such as a customer service agent autonomously issuing a $10,000 refund to meet a "five-star rating" goal [

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Everyone says "learn AI." Nobody tells you WHICH tools or HOW. In this episode, I break down the exact 90-day curriculum that makes you valuable in the AI economy — updated for 2026 with the tools, certifications, and skills that actually pay $150K or more.

Prompt engineering is no longer a differentiator. The LLMs got better. The market moved on. The real money — $150K to $250K+ — is now in AI governance, agent architecture, and strategic implementation.

In this episode, you'll learn:

• The 3-Tier Skills Hierarchy: what's essential, what's professional, and what unlocks six-figure roles
• Why you need THREE LLMs (ChatGPT, Claude, AND Gemini) and which to use for what
• The 90-Day Mastery Plan: Month 1 foundation, Month 2 professional tools, Month 3 advanced strategy
• What changed in 2026: Claude Code launched, agentic frameworks went mainstream
• The certification path that actually pays: AI Governance, not prompt engineering certs
• The 6 mistakes that keep people stuck — including the new one most people are making right now
• Industry-specific AI tools for finance, legal, marketing, data, HR, and software

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Surviving AI podcast, AI skills 2026, AI certifications, prompt engineering dead, AI governance career, $150K AI jobs, 90-day AI curriculum, Carlo Thompson, ChatGPT vs Claude vs Gemini, AI career change, agentic AI skills, AI tools for professionals, future of work skills, high-paying AI jobs, AI learning roadmap

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Welcome to Surviving AI with Carlo Thompson!

In this highly requested deep dive, we are tackling the multi-trillion-dollar question keeping investors and tech executives awake at night: Is the massive AI bubble finally popping, or are we just witnessing a painful but healthy market correction?

We are cutting through the hype to look at the cold, hard data driving the financial and technological turbulence of 2026. If you have a 401(k), own tech stocks, or work in the software industry, you cannot afford to miss this episode.

In this episode, we unpack:

• The S&P 500 Unwind: Why Capital Economics predicts a major pullback in 2026 driven by inflation and high interest rates.
• The Smart Money Pivot: Why Bridgewater Associates slashed their stakes in giants like Meta, Alphabet, and Microsoft, while betting heavily on Block and Oracle.
• The Shadow Banking Risk: The precarious "house of cards" created by circular financing and unregulated private equity funding AI startups.
• OpenAI's Leaked Financials: A look at the mind-boggling projected $14 billion loss for 2026 and the reality of the $500 billion Stargate data center project.
• The Enterprise Paradox: Why 90% of organizations are using AI, but only 40% are actually seeing a positive ROI.
• The Labor Market Reality: Moving past the "AI apocalypse" to understand the transition from training-time compute to inference-time compute.
• New Regulations: What you need to know about the Colorado AI Act and California's AB 2013 data transparency laws.

Don't forget to subscribe and like the show so you never miss an update on the realities of the AI industry!

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Are you worried that your job is being automated, but feel like you're "too old" to start over? You are not alone, and you are not out of options.

While age discrimination is a reality—especially in the tech sector, where ageism costs the U.S. economy $850 billion in lost productivity—older workers possess distinct advantages that younger generations lack. In this episode, we unpack the truth about late-career transitions in the era of Artificial Intelligence. We break down the exact financial Return on Investment (ROI) for pivoting into "human-centric" and AI-resistant moats like healthcare, skilled trades, consulting, and the public sector.

Discover why second-career nurses are highly sought after by hospitals for their maturity, how adult electrician apprentices boast near-zero dropout rates compared to their younger counterparts, and why government jobs offer a crucial 5-to-10-year buffer against AI disruption. We also dive into the hard math: how to calculate your break-even point whether you are 35, 40, or 45, and why taking action now is the ultimate defense against the "Silicon Tsunami".

In this episode, you’ll learn:

The reality of age bias: Why the EEOC just recovered a record $700 million in discrimination cases, and what it means for you.

How to leverage your financial stability, life experience, and professional network.

The math behind retraining: Break-even timelines for nursing and the trades.

Why the public sector is an "AI Sanctuary" currently lagging 5 years behind the private sector.

Actionable plans tailored specifically for your 40s, 50s, and 60s.

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AI agents aren't doing safe, simple tasks anymore. They're writing production code, triaging support tickets, and opening pull requests — completely autonomously. If your job involves following a manual or a predictable workflow, it is being replaced right now.

2026 is the year agentic AI moved from demos to deployment. This episode breaks down the data that most mainstream media is ignoring: which jobs are already being replaced by AI agents, how fast it's happening, and what you can do about it before the next round of layoffs hits.

In this episode, you'll learn:

• Why 2026 is the tipping point for AI agent deployment in the enterprise
• Which job categories are being automated first by agentic AI systems
• The difference between AI assistants and AI agents — and why agents are far more dangerous to your career
• Real examples of companies replacing entire teams with autonomous agent workflows
• What you can do now to stay ahead of the agentic AI wave

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Surviving AI podcast, AI agents replacing jobs, agentic AI 2026, autonomous AI workers, AI job displacement data, Carlo Thompson, AI automation 2026, future of work AI agents, AI coding agents, AI replacing developers, enterprise AI deployment, career strategy AI, job loss statistics 2026, AI workforce impact

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Where you live now matters more than what you do for a living. In 2026, some cities are creating massive AI-driven wealth while others are watching jobs disappear — and the gap is widening every month.

This Season 3 premiere reveals the geographic arbitrage playbook: the real map of where AI is creating opportunity, where it's destroying livelihoods, and why your zip code is the most underrated variable in your career survival strategy.

In this episode, you'll learn:

• Why geographic location is now the single biggest predictor of career resilience
• The cities and regions booming from AI investment (data centers, tech hubs, healthcare corridors)
• The areas being hollowed out by AI-driven automation and remote work shifts
• How to use geographic arbitrage to dramatically lower your cost of living while increasing your earning potential
• The real map of AI opportunity in 2026 — and how to position yourself on the right side of it

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