THE RUNDOWN
Spirit Airlines shut down Saturday morning. The cheapest airline in America couldn't make the math work anymore. Fuel doubled, the bailout fell through, and 17,000 workers are now looking for what's next.
But this isn't just an airline story. Spirit's entire model was built on being the lowest-cost option. No frills, no margin, survive on volume. That model works when external costs stay predictable. When they don't, there's nothing to absorb the hit. And right now, across a lot of industries, that's exactly what's happening.
Meanwhile, the biggest jobs data week of the month kicks off tomorrow. Five major reports in five days, and the forecasts are all over the place.
Let's get into it.
Quick Signals
Ask Jeeves is dead. Again, but for real this time. Ask.com officially shut down May 1 after nearly 30 years. IAC pulled the plug as part of a portfolio cleanup. The irony: Ask Jeeves was one of the first search engines built around asking questions in plain language. It's shutting down at the exact moment the entire search industry is pivoting back to conversational, question-first interfaces powered by AI.
55% of companies that cut workers for AI already regret it. A Resume.org survey found that more than a third have rehired most of the positions they eliminated, and one in three spent more on restaffing than they saved. Forrester predicts roughly half of AI-attributed layoffs will be reversed by end of 2026, many offshore or at lower pay.
JOLTS data for March drops tomorrow morning. February showed hiring at a pandemic low of 4.849 million, the weakest since March 2020. Tomorrow's number will tell us whether that was a one-month blip or the start of a deeper freeze. Watch the quits rate, it's the best single measure of whether workers feel confident enough to leave.
April jobs report forecasts are unusually split. Estimates range from 49,000 to 150,000 new jobs, depending on who you ask. That gap matters. When forecasters disagree this much, it usually means the underlying signals are contradicting each other. The number drops Friday at 8:30 a.m.
Palantir reports Q1 earnings today, and the numbers tell the AI spending story. Revenue is expected to hit $1.53 billion, up 74% year over year. Commercial revenue alone is forecast up 94%. When one company's AI revenue nearly doubles in a year, it means other companies are writing very large checks for AI tools.
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The Big Story
Spirit Airlines didn't just go bankrupt. The cheap economy hit a wall.
Spirit Airlines ceased operations at 3 a.m. Saturday, the first major US airline to fold in 25 years. About 17,000 workers lost their jobs in roughly 48 hours.
The mechanics are simple. Spirit's restructuring plan assumed fuel at $2.24 a gallon. The Iran war pushed prices to $4.51, more than double. A $500 million federal bailout fell apart when bondholders rejected the terms. That was it.
But the deeper story isn't about fuel prices. Spirit's entire value proposition was being the cheapest seat in the sky. No legroom, no snacks, bags cost extra, everything stripped to the bare minimum so the ticket price could be as low as physically possible. That model works when your costs are stable and predictable. The moment they're not, you have zero cushion. No pricing power, no margin, no room to maneuver. One external shock and the whole thing breaks.
That pattern is bigger than aviation. The companies most vulnerable right now, across every industry, are the ones whose only competitive advantage is being the cheapest option. When costs spike (fuel, tariffs, labor, interest rates), the businesses with the thinnest margins are the first to crack. Spirit is just the most visible version.
Meanwhile, the rest of the industry is fine. The projected pilot shortfall for 2026 is 24,000. American Airlines is targeting roughly 1,500 hires, United is approaching 2,500, and Delta filled 600 in Q1 alone. Boeing projects 660,000 new pilots needed globally over the next 20 years. American and JetBlue are already building dedicated hiring pipelines for displaced Spirit employees. Airlines with better margins, better pricing power, and more diversified revenue? They're growing.
Why it matters: The lesson here isn't "airlines are in trouble." It's that being the cheapest is becoming the riskiest position to hold, whether you're a company or a worker competing on price alone. The businesses (and careers) that survive volatility are the ones with enough margin to absorb a shock. If the only thing you're offering is the lowest cost, one bad quarter can end it.
Making Moves
The companies hiring right now, and what they're paying.
While the Big Story covers who's cutting, here's the other side: which companies are actively adding headcount, in which roles, and at what comp levels.
OpenAI has 653 open roles and plans to grow from roughly 4,500 to 8,000 employees by end of year. Median total compensation sits around $580K. They're hiring across product, engineering, research, and go-to-market.
Anthropic lists 442 open positions with total comp packages ranging from $300K to $490K depending on level. They're scaling product, policy, and technical teams aggressively after a $3.5B funding round earlier this year.
Databricks has 840+ open roles globally. Product Manager comp ranges from $237K to $1.38M total depending on seniority and location, with Director-level roles north of $400K base.
Those are just the AI-native companies. Across the broader market, LinkedIn currently shows 140,000+ Product Management jobs in the US alone, with 25,000+ at the Senior PM level and 233,000+ worldwide. Software engineer listings are up roughly 30% year over year, with 67,000+ openings right now.
The pattern: AI companies grew headcount 92% year over year on average. The cuts you're reading about are concentrated at legacy tech companies reallocating budgets. The companies building AI infrastructure are hiring as fast as they can find people.
Why it matters: The layoff headlines are real, but they don't represent the full picture. If you're in product, strategy, or operations, the companies investing most aggressively in AI are also the ones with the most open roles and the highest comp. The question is whether you're looking in the right places.
Thinking about making moves yourself?
→ Our done-for-you job search service for Managers, Directors, and VPs targeting leadership roles in tech: Take the free assessment
→ 2026 Tech Leadership Hiring Report: Get the latest report
→ My step-by-step course on how I built an award-winning agency using AI, while still employed: Start the free course
Try This Out
Map your skills to roles you haven't considered.
This week is a data firehose. Here's how to make it useful instead of overwhelming.
As each report drops this week (JOLTS tomorrow, ADP Wednesday, jobs report Friday), copy the summary from any news source and paste it into Claude or ChatGPT with this prompt:
"Here's the latest jobs data release: [paste summary]. I work in [your industry] at the [your level] level, and I'm [actively searching / passively open / just staying informed]. Based on this data: (1) What's happening in my specific industry? (2) Is hiring for my role type likely to increase or decrease in the next 90 days? (3) What's one specific thing I should do differently this week based on this data?"
By Friday, you'll have a personalized read on the market that's specific to your industry and career stage, not a generic headline.
Predict This
The April jobs report drops Friday. How many jobs did the economy add?
Under 75,000 (sharp slowdown)
75,000 to 125,000 (soft landing range)
Over 125,000 (stronger than expected)
Last issue's prediction: We asked whether JOLTS March hiring would rebound from February's pandemic low. That data drops tomorrow, so we'll have the answer by Wednesday's issue.
Worth Reading
Ozempic cuts depression risk 44% and anxiety 38% in a 100,000-person study - ScienceDaily
Robots are mapping Doggerland, the lost continent under the North Sea, using sedimentary DNA - Nature World News
Butterflies and moths reused the same two genes for 120 million years of evolution, suggesting nature has a smaller playbook than we thought - ScienceDaily



