AI's job apocalypse fears clash with enterprise adoption realities

May 19, 2026 · The Artificial Intelligence Show
🎧 PodShort 95 min squeezed to 2 AI SprinklerAS AI / ML New
Episode artwork
Paul Roetzer
Host, Founder and CEO at Marketing AI Institute, SmarterX
Mike Kaput
Co-host, Chief Content Officer at SmarterX
The Artificial Intelligence Show
95 min squeezed to 2
Full episode from The Artificial Intelligence Show
Quotable Moments

What happens when you have a nation of people that used to be doing okay with white-collar jobs and now have to drive DoorDash or Uber or something? Like, you're going to have a lot of angry people.

Mike KaputCo-host, Chief Content Officer at SmarterX
00:00

I got to tell you, I went home one Friday actually fairly depressed. You could just see how this was going to have such a dramatic impact on society.

Ken GriffinCEO of Citadel
09:51

To be blunt, work that we would usually do with people with Masters and PhDs in finance over the course of weeks or months is being done by AI agents over the course of hours or days.

Ken GriffinCEO of Citadel
10:17
Key Insights
  • The trial between Elon Musk and OpenAI has brought to light numerous private communications and internal dynamics of major tech companies, offering a rare glimpse into their operations and decision-making processes.
  • The new role of 'Forward Deployed Engineers' (FDEs) is becoming highly sought after, with major tech companies like OpenAI, Google Cloud, and Salesforce heavily investing in building these teams to bridge the gap between AI development and enterprise adoption.
  • FDEs are essentially technical consultants capable of customizing AI models and agents to solve specific business problems, often enabling outcome-based pricing models that drive significant value.
  • Public sentiment regarding AI's impact on jobs is increasingly negative, with 71% of professionals believing AI will eliminate more jobs than it creates in the next three years, a significant jump from previous years.
  • Many prominent figures are actively pushing back against the 'AI jobs apocalypse' narrative, suggesting that fears are manufactured or misinterpret the nature of technological advancement.
  • Companies will increasingly aim for 'flat headcount' while growing revenue, meaning AI adoption will likely reduce the total number of people needed to achieve the same output or revenue.
  • The AI industry is facing a growing 'AI hate wave,' particularly among younger generations, driven by concerns over job displacement and the ethical implications of AI.
  • Companies that are not growing rapidly and fail to effectively apply AI will struggle, as AI-forward employees are expected to drive efficiencies and productivity gains that reduce overall staffing needs.
Metrics Mentioned
  • $150 billion (Elon Musk is asking for approximately $150 billion in damages from OpenAI.)
  • $7 billion (Ilya Sutskever's OpenAI stake is now worth approximately $7 billion, up from $5 billion.)
  • $13 billion (Microsoft's investment in OpenAI.)
  • $4 billion (Initial investment for OpenAI's new 'Deployment Company'.)
  • $750 million (Google Cloud's ecosystem commitment to help partners deploy AI.)
  • 800% (Increase in job postings for Forward Deployed Engineers between January and September (implied current or recent year).)
  • 1,000 FDEs (Salesforce's commitment to building a team of 1,000 Forward Deployed Engineers.)
  • 3 months (Typical duration an FDE pod focuses on a single client.)
  • $1 in software sales = $6 in services (A historical premise regarding the ratio of software sales to associated services.)
  • $6 trillion (Annual labor wages in the United States for knowledge work.)
  • 71% (Percentage of professionals who believe AI will eliminate more jobs than it creates in the next three years.)
  • 13% (Percentage of professionals who expect net job creation due to AI.)
  • 40% (Percentage of respondents who believed AI would eliminate more jobs in 2023.)
  • 53% (Percentage of respondents who believed AI would eliminate more jobs in 2025.)
  • 18 percentage points (Jump in negative sentiment regarding AI's job impact from 2025 to (implied) current year, reaching 71%.)
  • 9.6 million (US tech employment has remained flat at 9.6 million for the past three years.)
  • 4.3% (Overall US unemployment rate.)
  • 10% (More than 10% of General Motors' IT department (about 600 salaried employees) were laid off in a 'skills swap' initiative.)
  • 18% (Percentage of young people (ages 14-29) who feel hopeful about AI.)
  • 70% (Percentage of Americans who believe AI is advancing too quickly.)
  • 34% (Percentage of people with negative views of AI three years ago, which has now risen to over 50%.)
  • $900-$950 billion (Anthropic's reported valuation for its new funding round.)
  • $200 million (Anthropic's partnership with the Gates Foundation.)
  • 12,000 institutions (Number of financial institutions supported by OpenAI's new personal finance experience in ChatGPT.)
  • $80 billion (SpaceX's target IPO valuation, aiming to raise as much as $80 billion or more.)
  • $97 billion (OpenAI expects to save approximately $97 billion by 2030 under its revised deal with Microsoft.)
  • $100 billion (Microsoft has now spent over $100 billion on its OpenAI partnership to date.)
  • 75 vulnerabilities (Palo Alto Networks found 75 vulnerabilities in its own products using an Anthropic model, seven times its normal rate.)
  • $2.2 billion (Value of Publicis Groupe's acquisition of LiveRamp in an all-cash deal.)
  • $1 trillion (Publicis Groupe estimates the 'agentic transformation' opportunity at roughly $1 trillion.)
  • 6,000 employees (Approximate number of Shopify employees who worked with the AI agent 'River' in the past 30 days.)
  • 1 in 8 pull requests (Roughly 1 in 8 pull requests merged into Shopify's codebase last week were authored by the AI agent 'River'.)
  • 400-person team (Size of the team led by Kiran Flanigan before he built an 'AI second brain'.)

RevBots.ai View:

  • Forward Deployed Engineers represent classic AI Sprinkler behavior: bolting on technical roles vs. transforming workflows.
  • Flat headcount goals reveal ARM transition pain: SaaS Hoarders add AI tools but lack orchestration.
  • Public AI skepticism creates adoption friction for Tab Hoppers still manual prospecting.
  • ARM-stage orgs will treat FDEs as temporary scaffolding, not permanent roles.
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