Surviving AI

Here's the move: add up what you and your team spent on AI tools last month, divide it by the tasks those tools actually finished, then double that number. Would it still be worth it? If you're thinking about replacing a salary with an AI subscription, price that subscription at twice what you pay today. It's a stress test, not a prediction: find out whether your plan survives it.

Oracle now lists AI inside its business software at one cent a unit, 100,000 units for $1,000. On the day Apple closed at a record $5.08 trillion, Bloomberg reported it had cut some engineers' daily AI budgets from $300 to $200, with deeper cuts planned. Microsoft, Tesla and Uber have caps too. Meanwhile Ramp's data shows the blended price per million tokens fell about 27 percent in a month while total token spending still rose about 9 percent. Cheaper by the unit, bigger by the bill. So who is the meter for?

Carlo's gut check: watching the meter is good hygiene, but the real risk is what happens to people when the meter becomes the thing management manages. Ainsley's pushback: when a task costs one cent instead of an hourly wage, the instinct is not to keep a human in the loop, it's to remove the human and capture the margin, and the backstop gets rationed. They get into the three kinds of AI meters (employee, infrastructure, customer), why transparency without leverage is a front row seat to your own expenses, Anthropic's $895 billion in compute commitments, vendor lock-in, self-hosting open-weight models (Revolut, 37signals), Gartner's forecast that AI coding could cost more than a developer by 2028, and what happens to the junior pipeline when AI does the entry-level work.

Your turn: run the 2x test on one AI tool you pay for. Does it still pay for itself at double the price? Tell us in the comments.

CORRECTIONS AND CONTEXT (as of Nov 8, 2026; checked against Apple's 10-K, Ramp, Gartner, Anthropic's amended S-1 as reported, and company statements)
- Apple: Bloomberg reported some engineers' daily cap fell from $300 to $200 in October, with $100 possible for some teams and $25 considered for some others. Some employees said few people used the full $300.
- Ramp's figures cover OpenAI and Anthropic API spend by businesses on its platform. The quote in the news segment is our summary of Ramp's findings, not words we could find in print: Ramp says 1 percent of firms drive 80 percent of OpenAI and Anthropic spend on its platform, at a median $9,568 per employee per month in September, and Apollo found 80 percent of those top spenders are venture-backed.
- Anthropic's commitments: about $895.4 billion, almost all for compute and data centers. About $70 billion is due within a year, about $447.5 billion by the end of 2030, and the rest from 2031 to 2045, not over ten years. About $214 billion can be terminated or depends on conditions. They are purchase and lease contracts, not debt, and so far Anthropic's prices have gone down (price cuts trimmed its revenue by about $600 million from the second quarter to the third). Anthropic's IPO had not priced as of Nov 8. Claude, Anthropic's model, helped prepare this package.
- Revolut moved about 2,000 engineers onto self-hosted open-weight models running on 56 Nvidia GPUs and says its AI coding costs fell about 90 percent; the 2,000 are the users, not the team that runs it.
- 37signals' $3.2 million to $1.3 million is its 2024 figure; it has since moved its storage off AWS as well and expects well under $1 million a year. Company-reported, not audited.
SOURCES: every figure with its link is in the free download, "Who Is the Meter For? The Sources": https://e438e13a-e698-4671-86f8-2daa5cac293b.usrfiles.com/ugd/ba0303_aa7e5ab2f3b0424f9c9a8de0d0729bb4.pdf
FREE WORKSHEET: The 2x Meter Test: https://e438e13a-e698-4671-86f8-2daa5cac293b.usrfiles.com/ugd/ba0303_36643259caa24db58b03f1839ea315dd.pdf
CHAPTERS

00:00 The Move: Double Your AI Bill
01:52 News: One Cent a Unit, $200 a Day
04:27 Carlo's Gut Check: Who Controls the Meter?
06:50 When the Meter Replaces the Loop
07:32 Employee, Infrastructure, Customer: Three Meters
10:30 Transparency Without Leverage
13:01 A Shield or a Leash?
13:46 The Labs Have Bills Too: $895 Billion
16:24 Who Has the Leverage? Lock-In
18:20 Open Weights: Run It Yourself
22:05 Gartner: AI Coding vs a Developer's Salary
23:45 Who Fixes the Pipeline When It Breaks?
27:02 No Juniors Today, No Seniors Tomorrow
30:31 If the AI Went Dark for a Week

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Here's the move: pull out your last pay stub, find the Social Security line and double it, because your employer pays the same amount again. That is what your job sends into the system. Then ask your elected official one question: if my paycheck shrinks, what replaces that money?

Payroll taxes brought in about $1.8 trillion in the fiscal year that ended September 30, up about 4 percent and about a third of all federal revenue. The Congressional Budget Office projects Social Security's main retirement trust fund runs out in fiscal 2032, a clock that was running before AI. And in April, OpenAI wrote that AI could shrink the payroll tax base and floated taxes tied to automated labor, with no rate or mechanism. The paychecks are still paying in. So what pays the bill when they stop?

Carlo's gut check: the warning will show up in hiring, underemployment and fewer entry-level jobs long before it shows up in tax receipts. Ainsley's pushback: keeping a human in the loop doesn't protect the tax base if one worker does the job of five, because you keep one well-paid paycheck and lose the payroll tax from the other four. They get into why the paycheck is the plumbing, what Detroit shows about promises that don't shrink when the base does, gig work and the missing employer match, whether you can meter AI like electricity, and why open-weight models make any AI tax look like taxing a ghost.

Your turn: did you find your number? Tell us in the comments: what would you ask your representative, and did they answer?

CORRECTIONS AND CONTEXT (as of Nov 8, 2026; checked against Treasury and CBO, OECD, Challenger, Gray & Christmas, the IRS and court records)
- The 16 percent drop in corporate income taxes ($452 billion to $381 billion) comes from the 2025 tax law's larger deductions for business investment (CBO), not from AI.
- "Runs out" means the trust fund. After 2032, incoming payroll taxes would still pay most, but not all, scheduled benefits unless Congress acts.
- Gig and self-employed workers have no employer match, but they owe both halves themselves (15.3 percent self-employment tax). The gap is reporting: the IRS estimates about 55 percent of income with little third-party reporting goes misreported, against about 1 percent of wages.
- On companies hiding AI as a reason: Challenger, Gray & Christmas counted 121,401 announced cuts citing AI through October 2026, with a record 38,579 in May and 1,265 in October, the lowest month of the year. The counts are the reasons employers state, not an independent measure.
- Carlo asked whether any lawmaker has moved on AI and jobs. New York has asked employers since March 2025 to check a box on mass-layoff (WARN) notices when automation contributed; in the first year, none of the 160-plus filers checked it. In the Senate, the bipartisan AI-Related Job Impacts Clarity Act (S. 3108, Hawley and Warner) would require quarterly reporting of AI-related layoffs; it has not left committee. Both are disclosure rules, not limits.
- On AI trained on people's work: the largest payout so far is Anthropic's $1.5 billion settlement with book authors (final approval July 20, 2026). Most of the other AI copyright suits are still open.

CHAPTERS
00:00 The Move: Pull Your Pay Stub, Ask One Question
01:34 News: $1.8 Trillion From Paychecks and a 2032 Clock
02:19 Carlo's Gut Check: Our Taxes Run on Paychecks
04:55 One Worker Doing the Job of Five
07:52 The Paycheck Is the Plumbing
11:14 Detroit: The Base Shrinks, the Promises Don't
12:14 A Slow Leak or a Burst Pipe?
14:35 Gig Work and the Missing Match
16:47 Two Clocks: AI and Social Security
18:45 Tax the AI Labs or the Companies Using AI?
19:27 Can You Meter AI Like Electricity?
22:59 Open-Weight Models Go Off the Grid
27:29 Fiduciary Duty and the Race to the Bottom
28:52 Ask Your Representative
32:13 Ainsley's Words of Wisdom

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Surviving AI is hosted by Carlo Thompson and Ainsley (AI co-host), breaking down what AI job automation actually means for your career, every week.

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Here's the move: pull your power bill from the same month last year and put it next to this year's. If you used about the same power and the bill still went up, part of the difference may be the cost of getting the grid ready for AI data centers. On PJM, the grid that serves 13 states and Washington, D.C., the independent market monitor estimates data center demand added $9.3 billion to capacity costs in a single year, recovered from customers across the region, and pushed the total cost of wholesale power about 9 percent higher so far this year.
The chips are ready. The power lines aren't. Microsoft walked away from a planned AI data center at Loughton, outside London, after grid officials told the developer power might not arrive until the 2030s. Anthropic filed to go public with compute commitments in the hundreds of billions of dollars. Alphabet spent $51.4 billion on capital equipment in one quarter, and its shares fell about 10 percent after hours. So when the grid says wait, who pays: the companies, the workers, or us on our power bills?
Carlo's gut check: if the build-out stalls, workers feel it first, from the electricians and HVAC crews on site to everyone who pays for AI through the services they buy. Ainsley's answer: the technology may be inevitable, but the infrastructure isn't, and forcing it through decides who gets stuck with the bill. If the grid upgrades land on ratepayers before the first chip turns on, you pay twice: once on your power bill and again in the price of the service. They also get into why a local study can miss a regional cost, the 42 percent hourly pay premium Indeed found for data center installation work (lifeline or trap?), Anthropic's $16.3 billion in first-half revenue, a $16,000 graphics card, and why the chipmakers keep the biggest slice.
The second move, for decision makers: before you spend a few million on AI and cut a few million in salaries, ask what those few million could build with those people instead.
Your turn: put this month's bill next to the same month last year and tell us in the comments: up, down, or about the same, and which state?
CORRECTIONS AND CONTEXT (as of Nov 5, 2026; checked against Anthropic's S-1 and its Nov 3 amendment, Reuters, the PJM market monitor, Rutgers, Indeed Hiring Lab, NVIDIA, Alphabet and AP)
- Anthropic's total: the S-1 filed Oct 26 left the total commitment blank, as Ainsley says. Its amended filing on Nov 3 puts aggregate committed spend at approximately $895.4 billion, substantially all for compute and infrastructure. The "$518 billion, about 80 percent non-cancelable" figure came from Reuters' report on a September draft.
- Microsoft did not give a reason; it said "This decision relates to a single site." The 2030s date is what grid officials told the developer, Nscale. Microsoft was to rent about 23,000 Nvidia chips there. Loughton was Microsoft's lease, not Anthropic's.
- The $9.3 billion is the PJM market monitor's estimate for the 2025/2026 delivery year. The "about 9 percent" is the monitor's figure for January through August 2026.
- The Rutgers study (New Jersey State Policy Lab, June 2026) found bills in ZIP codes with a data center about $2 a month higher, a result that weakened on closer comparisons; it is not built to measure regional capacity costs.
- Indeed's 42 percent compares median posted hourly pay for data center installation and maintenance jobs with similar jobs elsewhere (July 2026).
- Anthropic's $16.3 billion is first-half 2026 revenue from its S-1; "about 14 times a year earlier" is our arithmetic from the filing's quarterly figures. The junior-hiring figure (27 percent to 9 percent of technical hires) is from Anthropic's own Oct 16 report; its technical hiring grew in absolute terms.
- NVIDIA's operating income was about two-thirds of revenue ($63.7 billion of $96.2 billion) in the quarter ended July 26, 2026. The RTX Pro 6000 launched at $8,565 in March 2025 and lists at $16,000 on NVIDIA's marketplace.
- Texas: Gina Hinojosa won the governor's race on Nov 3 (AP) and campaigned on a moratorium on new data centers until the legislature passes protections. Gov. Greg Abbott paused new data center grid approvals in August pending an audit.
- Carlo's 10 percent is his own bill in New Jersey, not a measured average.
- Grid transformers: the big transformers that step power up and down for the grid now take more than three years to deliver (Reuters, July 9, 2026: generator step-up units passed 160 weeks by early 2026), with data center demand a main driver.
SOURCES: the full list with links is in the free download, "Who Pays for the Build-Out: The Sources" (link on the episode page).
CHAPTERS
00:00 The Move: Check Last Year's Power Bill
03:16 News: Microsoft, Anthropic, Alphabet and the Grid
04:08 Carlo's Gut Check: If Data Centers Stall, Who Feels It?
08:01 The Trickle-Down Chain: Who Pays for AI
10:44 Paying Twice: Your Power Bill and Your AI Plan
13:03 The $9.3 Billion a Local Study Can't See
15:35 Data Centers Need an Outlet Plug
17:37 The 42% Premium: Lifeline or Trap?
18:16 Anthropic's Compute Bet: Growth Plan or Mortgage?
21:59 $16.3 Billion in Six Months: Takeoff or Wall?
23:23 Fewer Juniors and a $16,000 Graphics Card
26:55 Picks and Shovels: NVIDIA Keeps Two-Thirds
30:28 Growth or Subtraction?
34:14 The Circle and the Human in the Loop
37:16 Ainsley's Words of Wisdom

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Surviving AI is hosted by Carlo Thompson and Ainsley (AI co-host), breaking down what AI job automation actually means for your career, every week.

🎥 Watch the video: https://www.youtube.com/watch?v=ZT24IzctyRw

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On October 23, American Express reported third-quarter profit of $3.7 billion, up from $2.9 billion a year earlier, and told investors it plans to cut about 3,500 jobs, roughly 5 percent of its workforce. On Friday, the Labor Department's employment cost index showed wages and salaries after inflation down about half a percent over the past year. By our own calculation from the government's national accounts, corporate profits are taking their biggest slice of the economy since 1947, and BLS reports workers' share of business output hit 52.8 percent this spring, the lowest in its records going back to 1947. The work is getting more productive. So who keeps the gain: the people who own the machines, or the people who do the work?
Carlo and Ainsley follow the money. Ainsley explains it with a pizza: the shop is making more pizza than ever, and the owners are keeping a bigger slice. Federal Reserve data show the richest tenth of households hold close to 90 percent of the stock owned outside workplace retirement plans, which is why pensions are less of a comfort blanket than they sound. Carlo's frame: the gains are being kept to pay for the AI build-out, and if the AI trade turns out to be a bubble, the trades, the contractors and the middle of the pyramid take the hit. The White House's AI czar has said there will be no federal bailout for AI; Carlo thinks it will have to come, with the federal interest bill already past a trillion dollars a year.
Then Carlo's crazy idea: bring your own AI to work. An open-weight model you run yourself, trained on what you know, that walks out the door with you. Ainsley calls it the difference between renting a brain that learns from you and owning one.
The challenge: write down three things you know from your work that no model has seen. Keep them yours.

CORRECTIONS AND CONTEXT (as of Nov 1, 2026; checked against American Express's filing, AP, BLS, the Federal Reserve, Treasury, TechCrunch, Meta's help pages as reported, OpenAI and Anthropic)
- American Express's $3.7 billion profit includes a one-time gain from selling its stake in Global Business Travel Group, and the quarter also carried a $336 million restructuring charge. The 3,500 cuts are planned; the company told investors on its earnings call and does not tie them to AI. The profit did not come from the cuts.

- The 52.8 percent is one agency's measure (BLS, Productivity and Costs, Sep 3, 2026). BLS revises it on Nov 5.
- "Biggest slice since 1947" for corporate profits is our own calculation from BEA's national accounts (profits from current production as a share of GDP and of national income, Q2 2026).
- Meta Muse is Meta's personal AI agent, launched in September 2026. Meta's Help Center says Muse shares your information for learning by default, and you can turn that off. Meta's December 2025 policy that lets AI chats shape your ads and posts covers Meta AI; we did not check whether it applies to Muse.
- The federal interest bill: Treasury reports net interest of $1.05 trillion in fiscal 2026.
- David Sacks posted "There will be no federal bailout for AI" on Nov 6, 2025, as the White House's AI and crypto czar. Carlo's expectation of a bailout is his opinion.
- OpenAI says it does not train on business data by default; Anthropic says its consumer-terms change (Aug 2025) does not apply to its API or Claude for Work. Consumer chats depend on the company and your settings.
SOURCES: the full list with links is in the free download, "Who Keeps the Gain: The Sources" (link on the episode page).
CHAPTERS
00:00 Opening: $3.7 Billion Profit, 3,500 Jobs
01:55 Doing More With Less, and Engels' Pause
03:35 The Judgment Economy's Shrinking Lifeboat
05:26 The Pizza: Workers' Slice Hits 52.8%
07:10 Building the Next Railroad on Debt
09:17 Who Owns the Stock? Not the Pension Fund
11:49 Who Pays: AmEx and the Double Tax
13:08 If the AI Bubble Pops, Who Loses Their Shirt?
16:27 A Trillion in Interest: Can Washington Bail Out AI?
19:14 2008 All Over Again?
21:37 Bring Your Own AI to Work
24:28 Meta Muse and the Capture Machine
27:00 Own the Edge: Open-Weight Models at Home
30:05 Close: Own the Piece That Can't Be Replicated

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Surviving AI is hosted by Carlo Thompson and Ainsley (AI co-host), breaking down what AI job automation actually means for your career, every week.

🎥 Watch the video: https://www.youtube.com/watch?v=fIjzS5iiePw

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On Monday, Microsoft opened a voluntary exit offer to employees at level 70 and below in the US, Canada, the UK and India, and told reporters about 60,000 people are eligible, roughly a quarter of the company. The same day, Skydance, which now owns Paramount and Warner Bros., told staff it is moving to five days a week in the office and offered some of them a one-time buyout. Last year about 600 Paramount employees took severance rather than come back five days. Come back to the office, or take the check. And the market they would walk into: Challenger, Gray and Christmas counts about 166,000 announced US tech job cuts through September, about 54 percent more than a year ago.
Carlo calls it musical chairs. Ainsley calls it a filter: attrition by design, with a much better PR agent, because the balance sheet doesn't care what the paperwork calls it. From there, the question nobody's press release answers: if tens of thousands of people take the check and land in worse jobs, who keeps buying the products? Then the next chair: consulting, solo or at a big firm, and why the big firms sell a shield as much as a skill. Meta grew revenue 26 percent last quarter with 15 percent fewer people, and Carlo explains why that is every board's new formula, why it cannot scale to the whole economy, and why the answer is human plus AI, not the skinniest possible company.
The challenge: before you press the button, price the check, call two firms that might actually hire you, and price the cost of staying, because every choice is a bet now, including doing nothing.
CORRECTIONS AND CONTEXT (as of Oct 29, 2026; checked against Microsoft, Meta and Oracle reporting, Challenger, Fortune, AP, Reuters, gov.uk and the US Department of Labor)
- Meta cut about 8,000 people (about 10 percent) in May 2026, not 4,800. The 4,800 was Microsoft's July cut. Oracle's workforce fell about 21,000 (about 13 percent) in the fiscal year to May 2026, from about 162,000 to about 141,000; that is a net decline, not a count of layoffs.
- Microsoft says AI is not driving the buyouts. Ainsley's "trading payroll for GPU clusters" is her read, and Carlo pushes back on it.
- Microsoft's capital spending guidance changed on Oct 28: CFO Amy Hood now expects about $170 billion for calendar 2026 (it was about $175 billion), citing delays in third-party capacity.
- The well-known 2025 warning was that AI could eliminate half of all entry-level white-collar jobs and push unemployment to 10 to 20 percent (Anthropic CEO Dario Amodei, Axios, May 2025), not that 50 percent of white-collar workers would be unemployed.
- The 35,000 is Accenture alone, and it is a net increase in people (about 779,000 to about 814,000, its filings), not hires across all the big firms.
- India's AI retraining push is Carlo's read; we did not check it for this episode. TCS, India's largest IT services firm, shed about 23,000 people in the year to March.
- Meta's revenue figure is right: up 26 percent to $64.6 billion in the third quarter, with 66,775 employees, down 15 percent (AP; Meta's 10-Q).
SOURCES: Microsoft, Oct 26: https://blogs.microsoft.com/blog/2026/10/26/introducing-a-voluntary-exit-offer/ | GeekWire: https://www.geekwire.com/2026/microsoft-makes-new-voluntary-exit-offer-to-more-than-a-quarter-of-its-workforce-including-some-execs/ | Skydance memo (AWN): https://www.awn.com/news/skydance-calls-everyone-back-office-offers-some-way-out | Paramount 2025 (Fortune): https://fortune.com/2025/11/11/paramount-skydance-return-to-office-ultimatum-cost-185-million-dollars/ | Challenger, September 2026: https://www.challengergray.com/wp-content/uploads/2026/10/Challenger-Report-September-2026.pdf | Meta Q3 (AP): https://www.ksat.com/business/2026/10/21/meta-q3-revenue-tops-estimates-and-zuckerberg-says-muse-accounts-have-topped-10-million/ | Oracle (Reuters): https://www.cyprus-mail.com/2026/06/24/oracle-cuts-21000-jobs-in-fiscal-2026-amid-ai-driven-transition | Microsoft capex, Oct 28: https://finance.yahoo.com/markets/stocks/articles/crwv-nbis-iren-apld-stocks-033548877.html

CHAPTERS

00:00 Opening: Two Companies, One Exit Door
01:52 Musical Chairs, or a Filter?
03:15 The Commute Math and the Magic Trick
06:31 Why Not Just Say "Layoff"?
07:50 If 60,000 Walk, Who Keeps Spending?
09:54 Take the Check or Stay: Both Are Bets
11:56 Bet on Yourself: Three Ways Out
13:52 Consulting: Selling a Skill or Selling a Shield
16:42 Why the Doomer Forecast Didn't Play Out
18:51 Payroll for GPUs? Carlo Pushes Back
21:54 Meta: Revenue Up 26% With Fewer People
24:50 Innovation Walks Out the Door: The Skinny Bundle

31:23 What Carlo Would Do, and Four Countries
33:48 Close: When the Machine Is Built

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Surviving AI is hosted by Carlo Thompson and Ainsley (AI co-host), breaking down what AI job automation actually means for your career, every week.

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Accenture's own annual report says some of the services and tasks its people perform "have been and will continue to be replaced by automation, including AI-enabled solutions." In the same year it went from about 779,000 people to about 814,000, revenue rose 6 percent to about $74.2 billion, and its operating margin went up from 14.7 to 15.4 percent. PwC, Deloitte and EY each report growth too, while TCS, India's largest IT services firm, shed about 23,000 people in the year to March and has crept back to about 598,000. If AI was supposed to replace consultants, who exactly are the firms hiring, and what are they selling?
Carlo calls Accenture the model citizen: more people, more revenue. Ainsley calls it a magic trick: a firm selling efficiency while adding headcount, maybe selling the installation itself, maybe selling professional cover for executives making risky AI bets. The filings do not say which roles grew. Then the cover gets tested: Australia's employment department asked Deloitte to repay the final instalment of a contract, about A$97,600, after AI-assisted citations in its report turned out wrong (Deloitte says the findings did not change). From there, the pyramid that becomes a diamond, the team of 50 that becomes a team of 5, and what Y2K says about a gold rush that ends.
The homework: when consultants show up and ask exactly what you do all day, ask what "efficiency" will mean for your seat, and whether they were hired to solve one problem or to keep coming back.

CORRECTIONS AND CONTEXT (as of Oct 25, 2026; checked against Accenture's filings, the firms' releases, TCS's fact sheets and Australia's DEWR)
- Accenture is not "third" among US employers behind Walmart and Amazon; we could not source that ranking. Accenture is incorporated in Ireland and most of its people are in India, the Philippines and the US. Its roughly 814,000 people is about half of Amazon's workforce and about 40 percent of Walmart's.
- Accenture's margin is not higher than everyone else's. TCS reports a 24 percent operating margin against Accenture's 15.4 percent; PwC, Deloitte and EY are private partnerships and do not publish margins. What is true: Accenture's operating margin went up while it added people.
- The 35,000 is a net increase in headcount, not the number hired. Accenture's 10-K says it has at times reduced the rate of new hires and increased involuntary terminations to rebalance its workforce.
- Accenture had about 779,000 people a year earlier (not 714,000).
- The Y2K comparison is about spending, not headcount: a Commerce Department estimate put US Y2K spending near $100 billion, with about $29 billion spent in 1999 and about $5 billion in 2000.
- The billion dollars Carlo mentions is in Accenture's 10-K: $1.0 billion in learning and professional development in fiscal 2026.
- DEWR's page says the Deloitte report has been corrected twice: reissued in September 2025, and updated again on 3 February 2026.
SOURCES: Accenture FY26 results: https://www.sec.gov/Archives/edgar/data/0001467373/000146737326000037/q4fy26earnings8-kexhibit.htm | Accenture FY26 10-K: https://www.sec.gov/Archives/edgar/data/0001467373/000146737326000049/acn-20260831.htm | PwC: https://www.pwc.com/gx/en/news-room/press-releases/2026/pwc-announces-fy26-global-financial-performance.html | Deloitte: https://www.deloitte.com/global/en/about/press-room/global-revenue-announcement.html | EY: https://www.ey.com/en_gl/newsroom/2026/10/ey-global-revenue-increases-4-point-7-percent-to-us-dollars-57b-for-fiscal-year-2026 | TCS Q2 FY27 fact sheet: https://www.tcs.com/content/dam/tcs/investor-relations/financial-statements/2026-27/q2/Presentations/Q2%202026-27%20Fact%20Sheet.pdf | DEWR, Deloitte review: https://www.dewr.gov.au/assuring-integrity-targeted-compliance-framework/resources/targeted-compliance-framework-assurance-review-final-report

00:00 Opening: Three Firms, Three Reports, One Question
01:32 The Model Citizen: 35,000 More People, Revenue Up 6%
03:33 A Magic Trick? Efficiency vs. Installation
05:56 The Big Four and TCS: A Split Screen
07:00 High Touch, and Selling Professional Cover
09:45 Who Carries the Bag: Deloitte's Refund in Australia
12:07 Is Consulting Dead? From Pyramid to Diamond
15:55 A Team of 50, or a Team of 5?
18:47 More People, More Revenue?
21:04 A Gold Rush, Y2K, and Keeping You on the Hook
24:02 The Consultant Ride-Along
25:04 Selling the Bridge, Not the Tool

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Surviving AI is hosted by Carlo Thompson and Ainsley (AI co-host), breaking down what AI job automation actually means for your career, every week.

🎥 Watch the video: https://www.youtube.com/watch?v=Q5TQlYC-JkU

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The Bureau of Labor Statistics has ranked 831 occupations by AI exposure in four tiers, from Low to Very high, and the top two tiers hold about 56 percent of US jobs in those occupations. The same week, the Federal Reserve's Beige Book said five of its 12 districts heard from firms that reduced staffing through attrition, delayed hiring or expected less job creation after investing in AI, while most districts saw little or no net change in employment. And IDA Ireland, using LinkedIn data, reported entry-level hiring in Ireland's AI-augmented occupations down about 16 percent in the second quarter, with AI's role unclear. If the government can rank your job for AI exposure, what does that ranking actually tell you, and what does it leave out?
Carlo went looking for a clean answer and says plainly he did not find one. Chief executives rate Very high and are still projected to grow about 3 percent by 2035; web developers rate Very high and are projected to grow, though BLS says AI may soften that growth. The biggest projected losses are cashiers, general office clerks and customer service representatives; the biggest gains are home health and personal care aides. Ainsley pushes back twice: Low exposure is not safety (78 of the 213 Low-tier occupations are projected to shrink), and home health solves demand but not leverage.
The homework: find your tier in the BLS file, then name five tasks you do and decide whether each one is filling in a box or signing your name to a judgment call. BLS says it plainly: exposure does not imply job loss. Next time is Monday.

Resources: 
BLS website: https://www.bls.gov/emp/publications/ai-exposure-categories.htm
My Spreadsheet: https://docs.google.com/spreadsheets/d/1IkgDYfpcpuz6MMQsBo3Zho-05R1UaF4S/edit?usp=sharing&ouid=113840015682063908259&rtpof=true&sd=true

00:00 Opening: Five Districts, One Report, One Ranking
02:18 I Went Looking for the Answer
05:34 How Old Is the Exposure Score?
07:16 CEOs and Web Developers: Very High Exposure, Still Growing
10:42 What 'Very High' Actually Means
11:54 Hollowing Out the CEO's Support Staff
13:59 Top of the Losses: Cashiers, Clerks, Customer Service
15:30 The Growth Side: Home Health, Nurses, Software
18:45 The Junior Ladder
19:12 Using the Ranking as a Compass
22:40 Low Exposure Is Not Safety
24:39 Home Health: Demand Without Leverage
25:09 Underemployment and the Lost Learning Years
28:53 Homework: Name Five Tasks

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Surviving AI is hosted by Carlo Thompson and Ainsley (AI co-host), breaking down what AI job automation actually means for your career, every week.

🎥 Watch the video: https://www.youtube.com/watch?v=JsySAkR3AYc

📄 Free download from this episode: https://e438e13a-e698-4671-86f8-2daa5cac293b.usrfiles.com/ugd/ba0303_c1e1fcc910044855a8b399256e24b4cc.pdf

🎧 Also on: Apple Podcasts | Spotify | YouTube

📚 Browse every episode, show notes, and resources: Surviving AI Episode Center

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Alphabet's second-quarter filings show about $45 billion spent on property and equipment, about double a year earlier, with revenue up 24 percent and headcount up from about 187,000 to about 199,000 in a year. Meta's revenue rose 28 percent and its spending on property and equipment is up about two-thirds in the first half, but its headcount went from about 79,000 in December to about 75,000 in June. Amazon spent about $54 billion on property and equipment in the quarter, up from about $32 billion, and AWS sales rose 37 percent; Amazon reports no headcount for AWS alone. The reports give the math, not the motive. As billions flow into AI, what happens to the people?
Carlo's frame is revenue capture: a company exists to capture value for its shareholders, not to employ people, and revenue was the one constant across these companies while headcount was not. He and Ainsley ask what Alphabet is hiring for, whether it is building a permanent business or a factory that needs almost no one to run, and what an executive paid on shareholder value would do. Both say plainly that the reasons are hunches: the filings show the numbers and not the cause.
Carlo's advice: nobody guarantees you a job, so take care of your own career, your finances and your ability to pivot; find the edges of AI in your own domain; and watch your own company. If the spend goes out and new workers do not come in, pay attention. Next time: the Bureau of Labor Statistics and how to score your own tasks.

00:00 Opening: Three Giants, Three Payrolls
03:01 Revenue Capture, Not a Rising Tide
06:22 What Is Alphabet Hiring For?
08:00 If I Were the Executive: Take the Efficiency
10:46 Revenue Without Spending a Dime Extra
13:12 Search Company to Frontier Lab: Why Alphabet Is Staffing Up
16:53 Nobody Guarantees You a Job
19:46 No Time to Pivot: Find the Edges
22:23 Homework: Watch the Spend, Count the Hires

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Surviving AI is hosted by Carlo Thompson and Ainsley (AI co-host), breaking down what AI job automation actually means for your career, every week.

🎥 Watch the video: https://www.youtube.com/watch?v=34cTHYdun0I

📄 Free download from this episode: https://e438e13a-e698-4671-86f8-2daa5cac293b.usrfiles.com/ugd/ba0303_8010aab2399340cbbddf9d9844caf524.pdf

🎧 Also on: Apple Podcasts | Spotify | YouTube

📚 Browse every episode, show notes, and resources: Surviving AI Episode Center

Comment with your job title, I'll pick one for a future Career Stress Test episode.

Follow Surviving AI: Facebook | TikTok | Instagram | X/Twitter

Please visit our website for more information - Surviving AI: Navigate the Future

DISCLOSURE: Ainsley, this show's AI co-host, runs on Claude, made by Anthropic.
Women's jobs are almost twice as likely as men's to be exposed to generative AI, 29 percent against 16 percent, according to the International Labour Organization. That is exposure, not job loss: a warning, not a funeral. In the United States, one Brookings analysis counts about 6.1 million workers who are highly exposed and low in adaptive capacity, and about 86 percent of them are women. Women are roughly a fifth to a quarter of the technical pipeline that builds AI, depending on the measure. Is this a tide that lifts everyone, or a capture play for the people at the top?
Carlo opens by asking whether the White House meeting on AI safety settled anything about the people whose jobs are exposed. He and Ainsley then talk through why steering women into healthcare repeats an old sorting problem, why the answer is what you carry with you and not which room you enter, whether there is a stigma on women who use AI, who trains the models, and whether a self-improving AI fixes bias or compounds it. Ainsley brings the funding data: in UK data, all-female AI teams got a fraction of a percent of AI venture capital over the last decade.
Carlo's advice: learn the tools, start with yourself and then advocate up, and if you lead, be the tide that lifts all the boats and give credit where it is earned. He connects it to Monday's question about revenue capture: consumer spending is about two-thirds of the economy, so what happens to demand when the exposed back office shrinks? That is his hunch, and the show says it is a hunch. He also walks back an earlier episode of his on women and AI, saying it was not the whole picture.

00:00 Opening: Who Is Exposed, Who Is Building
01:04 The White House Accord and the Job-Loss Gap
02:54 No Door to Point At: Why the Healthcare Steer Fails
06:04 Stigma and Competing on a Level Field
08:19 Who Trains the Models: Bias, Hiring Filters and Self-Improvement
12:41 Start With Yourself: Learn the Tools and Lead Up
15:15 Who Gets the Credit: Be the Tide That Lifts All Boats
18:07 The Funding Gap and the Revenue Capture Question
20:49 Nvidia's Dollar, the Back Office and Who Is Most Exposed
24:27 Carlo Walks Back an Earlier Episode
27:11 Close: Who Gets the Efficiency Gains?

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Surviving AI is hosted by Carlo Thompson and Ainsley (AI co-host), breaking down what AI job automation actually means for your career, every week.

🎥 Watch the video: https://www.youtube.com/watch?v=BF9aUmd6lf4

📄 Free download from this episode: https://e438e13a-e698-4671-86f8-2daa5cac293b.usrfiles.com/ugd/ba0303_b7b1f6425eb448c99299285f0303d761.pdf

🎧 Also on: Apple Podcasts | Spotify | YouTube

📚 Browse every episode, show notes, and resources: Surviving AI Episode Center

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Follow Surviving AI: Facebook | TikTok | Instagram | X/Twitter

Please visit our website for more information - Surviving AI: Navigate the Future

DISCLOSURE: Carlo says on air (03:00) that he is an Nvidia investor. Ainsley, this show's AI co-host, runs on Claude, made by Anthropic.
Texas told its environmental agency to pause every data center permit until the state's grid operator finishes its review. A major grid operator's backup power plan was accepted only in part by the federal regulator and suspended. Finland's national agency called on the company behind two planned Google data centers to stop site work until the environmental assessments are done. Three brakes, one question underneath: who pays for the buildings that run AI, and who gets paid? Is this a tide that lifts all the boats, or revenue captured by a few?
Carlo and Ainsley start with the first check. Nvidia booked nearly $194 billion in Data Center revenue in the fiscal year that ended in January 2026, about 90 percent of its total. Of each dollar, about 29 cents goes to make the product, about 11 cents to research, sales and administration, and about 60 cents is operating profit. Carlo says up front that he is an Nvidia investor, and asks where that money goes next and how much of it reaches a paycheck.
Then the jobs test. Virginia's legislative auditors model about four in five data center jobs in that state as construction. Brookings finds roughly 100 to 200 jobs in a typical affected county. Unemployment is 4.2 percent and productivity is up over 2 percent, and Ainsley asks whether either is tied to data centers. PwC, for the Data Center Coalition, models 5.5 million supported jobs, which is a different count than the other two. Carlo's hunches about remote engineers, underemployment and unseen jobs around a campus are labeled as hunches.
Carlo's frame: consumer spending is about two-thirds of the economy, so what pays people matters. The show looks at the dividend idea and Alaska's Permanent Fund, the fiber bust as a warning about empty buildings, and what a town should ask before it signs. Carlo's close: show up at the public hearings, ask whether the capacity is needed at all, and demand the numbers before the build.
CORRECTIONS AND CONTEXT (as of Oct 11, 2026; research as of Oct 8)
- Ainsley's remarks near 22:10 and 23:53 that ratepayers get stuck with the bill for unused data center capacity, and that grid upgrades are passed through to monthly bills, are her hunch, not a measured finding. The cleared record points more than one way: Texas Gov. Abbott's Sept 21 letter says data center projects must cover all electrical infrastructure costs and result in lower residential bills; Berkeley Lab found that from 2019 to 2024 states with the fastest electricity demand growth generally saw average prices fall after inflation, with a weaker effect for households, and warns the past need not be prologue; PJM's market monitor attributes about $6.3 billion, roughly 38 percent, of the $16.4 billion 2028/29 capacity auction to data center load, which is a charge in an auction and not a measured bill increase. We found no campus-by-campus test of bills as of Oct 8.
- The 60 cents is Nvidia's operating profit per dollar of revenue for its whole fiscal year (before interest and tax), and Data Center is about 90 percent of that revenue; it is not a data center margin. Nvidia's annual report does not give a payroll total. In the same year it spent $40.4 billion buying back stock and $18.5 billion on research, which the episode names but does not give numbers for.
- Virginia's roughly four-in-five construction share comes from a legislative audit's modelled estimate of about 74,000 supported jobs in that state, including indirect jobs. Brookings' 100 to 200 jobs is for a typical affected county. Neither is a national total. PwC's 5.5 million is jobs the industry supports, modelled and commissioned by the Data Center Coalition, an industry association, and counts a different thing from the other two, so the numbers are not directly comparable.
- National figures (unemployment 4.2 percent, productivity up 2.2 percent over the year) are not tied to data centers in any source we found. Consumer spending was 67.5 percent of GDP in the second quarter of 2026.
- Not verified in this episode: Carlo's rough figures of about $500 billion of data center and AI investment this year and close to $1 trillion next year, the 36 gigawatts for training and 44 for inference he says he saw, the statement that the US holds more data centers than any other country, and the Texas town story. Treat them as his recollection.
- President Trump said after a Sept 29 White House meeting that people near data centers could get a dividend because 'a dividend sounds right.' As reported, he gave no amount, no source for the money and no mechanism.
- The economic data cited here is American (Virginia, US counties, BLS, BEA). We found no comparable measure for other countries as of Oct 8.
CHAPTERS
[NOTE TO CARLO, delete this line before posting: these times assume no thesis video; run S8E1_retime_chapters.py with the thesis length and paste its output instead]
00:30 Opening: Three Brakes on Data Centers
01:27 Welcome to Season 8: A Thought Piece
02:40 Nvidia's Nearly $194 Billion
04:24 The Nvidia Dollar: 29, 11 and 60 Cents
06:30 What Virginia's Auditors Found: Mostly Construction
08:22 100 to 200 Jobs Per County and the 4.2% Question
08:54 Underemployment and the Missing Entry Level
12:42 The Remote Engineer Hunch
15:01 PwC's 5.5 Million Jobs: Supported, Not Created
15:39 Why Carlo Is Doing This Episode: Consumer Spending
18:28 The Dividend Idea and Alaska's Permanent Fund
21:57 The Fiber Bust and the Dark Building
23:59 Show Up: Public Hearings and the Town's Choice
26:53 Do We Even Need More Data Centers?

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Surviving AI is hosted by Carlo Thompson and Ainsley (AI co-host), breaking down what AI job automation actually means for your career, every week.

🎥 Watch the video: https://www.youtube.com/watch?v=6QD7XVHQ52E

📄 Free download from this episode: https://e438e13a-e698-4671-86f8-2daa5cac293b.usrfiles.com/ugd/ba0303_cc331e5ccbff48c79dab8ef274194d4d.pdf

🎧 Also on: Apple Podcasts | Spotify | YouTube

📚 Browse every episode, show notes, and resources: Surviving AI Episode Center

Comment with your job title, I'll pick one for a future Career Stress Test episode.

Follow Surviving AI: Facebook | TikTok | Instagram | X/Twitter

Please visit our website for more information - Surviving AI: Navigate the Future