Revenue consists of three components: variable costs, fixed costs and profit. This interactive tool shows how a revenue decline hits profit, why fixed costs are the decisive risk lever, how price elasticity works, and what all of this looks like in real life at the Volkswagen Group.
Set up a company's cost structure, then drag the revenue change slider. Fixed costs stay put, variable costs breathe with volume, and profit absorbs everything that is left over.
Base vs. scenario: the | marker shows the respective revenue. If the costs reach beyond it, a loss arises.
Where the sales revenue line crosses total costs, the profit zone begins.
Two companies with exactly the same profit in a normal year (€25m on €100m of revenue), but completely different cost structures. Drag the slider and see who survives the downturn.
e.g. a factory with deep in-house production, lots of staff & machinery
e.g. a retailer / contract manufacturer, buys in heavily from suppliers
The steeper line is the bigger lever, upwards as well as downwards. ● = break-even.
Raising prices sounds tempting, but demand reacts. The price elasticity ε tells you how strongly: volume change ≈ ε × price change. Example: ε = −1.5 and +10% price → −15% volume. Whether it pays off is decided by the cost structure.
Base case: price €50 · volume 1,000 units · variable unit costs €20 · fixed costs €15,000 → profit €15,000
Index: base = 100. ◆ = revenue-maximising price, ● = profit-maximising price.
A revenue decline never stops at the manufacturer: it cuts orders, its suppliers lose revenue and in turn cut their own orders and investment, and so the shock propagates through the entire chain. Two mechanisms work together here: the bullwhip effect (each tier overreacts) and the multiplier (each round triggers the next). Exactly this dynamic can ignite a downward and price spiral in an industry.
Percentage decline per tier of the supply chain: the end-customer shock is amplified upstream.
Over the rounds, €100 of direct demand loss turns into a multiple: each player's cut is the next player's revenue loss.
When everyone cuts at the same time, each step feeds the next: the classic deflationary spiral pattern (Fisher 1933).
Theory meets reality: the Volkswagen Group, half year 2026 (statement of 24 July 2026), financial year 2025, and the restructuring decision of 4 September 2026. A group with an enormous fixed-cost base (plants, around 670,000 employees, development) on an operating margin of 3.8 per cent: the fixed-cost leverage from tab 2, at full scale. Two brands of the same group, side by side: Škoda and Porsche.
Shares of revenue of €321.9bn (2025) and €324.7bn (2024). What remains of revenue at the end is the slim operating margin.
Model calculation based on the 2025 and 2024 income statements. VW does not report fixed and variable costs separately, so the variable share is an assumption (slider).
On 4 September 2026 the supervisory board approved the largest restructuring in the company's history: around 100,000 posts including the reductions agreed since late 2024, up to a quarter of management positions, €125bn of investment and €11bn of cost savings. Four sites received an end date for vehicle production rather than a closure: Emden and Zwickau in 2031, Hannover in 2032, Neckarsulm in 2034. This card asks the only question this chapter can answer: what does €11bn less fixed cost do to the break-even?
Same model as above, same variable share. The saving is treated as a pure reduction of the fixed block, which is the friendliest possible assumption: in reality part of any such programme falls on variable cost, and the effect arrives over years rather than at once. The dates are the point. A buffer that only exists from 2031 does not protect the 2027 balance sheet.
In the first half of 2026 Škoda earned slightly more than Porsche: an operating profit of €1.37bn against €1.35bn, at a return on sales of 8.5 against 7.8 per cent. Škoda delivered 555,700 cars, Porsche 122,306. In 2023 Porsche had still earned four times as much as Škoda. This tab follows the money: what each brand earns overall and per car, which costs weigh on Porsche, how special items affect the comparison, and what the comparison cannot show. It is the fixed-cost lever from tab 2 and the Volkswagen case from tab 5, seen through two brands of the same group.
Optional dashed bar: reported profit plus rounded realignment charges; tariffs stay included. This is our calculation, not Porsche’s reported result. “Per car” divides company profit by brand deliveries; it is not an individual model’s profit.
In H1 2026, Škoda delivered about 4.5 times as many cars. Its much smaller profit per delivery therefore adds up to a slightly higher total: €1,366m versus about €1,350m. Its return on sales was also higher: 8.5% versus 7.8%. That is a narrow lead in this period, not proof of permanent superiority. In 2025 the reported gap was much larger: €2,502m versus €413m; Porsche led in 2022–2024.
What supports Škoda: the company attributes its H1 result to higher sales volume, cost discipline and shared development and purchasing within Volkswagen. What weighs on Porsche: lower volume, tariffs and strategy/battery-related charges. The 2025 waterfall below shows the earnings impact. An impairment reduces profit without necessarily using cash in that same year; spending and profit are different measures.
No second deduction: Porsche’s operating profit per car already reflects those operating costs. It is not a gross profit from which marketing or showrooms still have to be paid. These reports do not isolate comparable marketing returns or showroom costs. More effective marketing or a larger dealer network cannot be established as the cause from these figures.
Annual figures as the companies report them, 2022 to 2025. When enabled, dashed: Porsche 2025 plus rounded realignment charges (our calculation).
Operating profit in €bn. Porsche names three special items of about €3.9bn in total; the first step is our residual, including rounding differences (2.4 + 0.7 + 0.7 = €3.8bn from the rounded components). Tap a bar for the explanation.
Share of deliveries by region, as each company defines its regions.
Porsche sells 43 per cent of its cars in North America and China, the two markets that turned: import tariffs in the United States and a shrinking luxury market in China, where Porsche delivered 79,283 cars in 2023 and 41,938 in 2025. Škoda sells 84 per cent in Europe, no cars in the United States and 700 in China; its second growth market is India, with 70,600 cars in 2025, almost twice as many as the year before.
Six causes; they overlap and add up.
320,221 cars in 2023, 279,449 in 2025 and 16.5 per cent fewer again in the first half of 2026. Plants, development and staff were planned for more than 300,000 cars a year, and costs of that kind do not shrink with sales (tab 2). Revenue per car rose meanwhile, from €126,600 in 2023 to €140,900 in the first half of 2026: the problem is the number of cars, not the price.
The 718 with a combustion engine has gone out of production. In the first half of 2026 it sold 73 per cent fewer cars, the Panamera 38, the Taycan 25 and the Macan 22 per cent fewer. Only the 911 grew, by 19 per cent.
In September 2025 Porsche changed its product planning: combustion and plug-in hybrid models stay longer, parts of the all-electric plans move back, the company is being scaled down. Development already capitalised was written off and new development costs arose. Porsche lowered its medium-term target for the return on sales from 15 to 17 per cent to 10 to 15 per cent.
Costs and write-downs for Porsche's battery activities, mainly the Cellforce Group, its own company for high-performance cells, which was largely wound down.
Porsche has no plant in the United States and ships every American car from Europe. The US tariff on European cars was 27.5 per cent from April to July 2025 and has been 15 per cent since 1 August 2025. In May 2026 the US president announced a rise to 25 per cent, then gave the EU until 4 July to implement its part of the trade agreement; the EU did so from 1 July, and the rate stayed at 15 per cent. Porsche books the tariff as a special item, although it continues: about €0.7bn are expected again for 2026.
79,283 cars in 2023, 41,938 in 2025 and 14,501 in the first half of 2026, 32 per cent fewer than a year earlier. In 2023 China took a quarter of Porsche's deliveries, in the first half of 2026 about an eighth.
866,800 cars in 2023, 1,043,900 in 2025 and 9.1 per cent more in the first half of 2026, when Škoda was the second-best-selling car brand in Europe. The margin held at 8.5 per cent while revenue per car stayed close to €29,000: deliveries grew faster than revenue; this quotient alone does not isolate prices or model mix.
Škoda's combustion models use the group's MQB platform, its electric models the MEB platform, and the new small electric Epiq shares the MEB+ platform with the Volkswagen ID. Polo and the CUPRA Raval. Development and purchasing are spread over millions of cars in the Brand Group Core; Škoda names these synergies and its cost programme Next Level Efficiency+ as reasons for its result. Porsche uses group platforms as well, the Cayenne with the Audi Q7, the electric Macan with the Audi Q6 e-tron, but on a fraction of the volume.
Škoda builds cars in Mladá Boleslav and Kvasiny; Vrchlabí produces transmissions, not complete cars. Other production locations include Slovakia and India. An hour of labour cost €19.8 in Czechia in 2025 and €45.0 in Germany, where Porsche builds in Zuffenhausen and Leipzig (whole economy, Eurostat and Destatis). These are economy-wide labour costs, not the wages or labour costs at either manufacturer.
84 per cent of Škoda's deliveries go to Europe, none to the United States, and only 700 cars went to China in the first half of 2026, after 7,300 a year earlier. The two shocks that hit Porsche hardly reach Škoda.
Interpretation, marked as such.
The reported figure for 2025 is not the whole picture, and neither is the recovery in 2026. Porsche booked special items of about €3.9bn in 2025, most of them in the third quarter, which closed with an operating loss of €967m; after nine months €40m of operating profit were left, against about €4bn a year earlier. A new chief executive, Michael Leiters, took over at the start of 2026. In accounting the pattern has a name, big bath or kitchen sinking: every bad item goes into one year, ideally before new management starts, and the following years compare against a low base. The increase of 34 per cent in the first half of 2026 is largely such a base effect. Without the realignment costs, about €0.8bn a year earlier and €0.1bn now, operating profit fell from about €1.81bn to €1.45bn, by a fifth. The roughly €0.1bn in H1 2026 is a net charge: about €0.4bn of transformation expenses less €0.3bn of provision releases.
Strategy choices affect the timing and scale of charges, but recognition must follow accounting rules. These figures do not establish an intentional big bath. The charges include impairments and restructuring expenses. Expense recognition and cash payments can occur in different years; accounting rules require impairment when carrying values are no longer recoverable, and the tariffs were paid. Volkswagen, which owns the majority of Porsche, has written down the goodwill it carries for Porsche twice, by about €3bn in September 2025 and by about €6bn announced in September 2026. Those write-downs sit in Volkswagen's accounts, not in Porsche's operating profit, and they say that the owner expects less from Porsche's future than it did.
Cash flow is a useful additional check, but it is also affected by investment timing, working capital and its reporting definition. Porsche's automotive net cash flow fell from €3.74bn in 2024 to €1.51bn in 2025, while Škoda's rose from €2.0bn to €2.3bn. In the first half of 2026 Škoda generated €1.7bn, Porsche €1.02bn. Škoda reports the higher net cash flow for 2025 and H1 2026. This does not establish a cash-flow ranking excluding special items.
Operating return on sales as reported by Volkswagen and by Porsche AG; the dashed line marks the group as a whole. Brand group Progressive combines Audi, Bentley, Lamborghini and Ducati, which Volkswagen does not show separately here.
The figures are as each company reports them, and they are not fully comparable. Porsche AG includes its own financial services; Škoda's customer financing sits with Volkswagen Financial Services. Volkswagen itself reports Porsche's car business as brand group Sport Luxury, with 8.0 per cent in the first half of 2026 (€1.2bn on €15.2bn). Inside a group, internal prices for platforms, parts and development decide part of how profit is split between brands, so a brand's margin is also a result of the group's transfer pricing. Net cash flow is defined by each company. "Per car" divides by deliveries and ignores parts, services and timing. The adjusted Porsche figures are our calculation from the special items Porsche names; Porsche itself publishes no adjusted profit. Škoda rounds some values to €0.1bn in its texts; the exact figures used here come from the tables of its press releases.
Two points remain open. Whether Škoda wins customers who would otherwise have bought a Volkswagen cannot be read from these numbers: in the first half of 2026 Škoda delivered 9.1 per cent more cars, while the Volkswagen brand sold 0.5 per cent more outside China, which fits that reading without proving it. And whether Škoda builds the better car is a judgement, not a figure. Porsche presents its new strategy on 7 October 2026; this tab shows the state before. The conflict between exclusivity and volume behind Porsche's figures has its own tab: Luxury and volume.
A luxury brand earns its margin by not being available to everyone. A car maker earns its margin by spreading fixed costs over as many cars as possible. The two pull in opposite directions. Ferrari keeps its deliveries almost flat and earned an operating margin of 29.5 per cent in 2025. Mercedes-Benz planned in 2022 to sell around 60 per cent more of its most expensive cars in 2026 than in 2019 and to grow overall; its car business earned 5.0 per cent in 2025 and 4.0 per cent in the first half of 2026. This tab shows the dilemma in figures and checks a common reading of the Mercedes case. It builds on the fixed-cost lever (tab 2), price elasticity (tab 3) and the comparison of Škoda and Porsche (tab 6).
Each dot is a business or segment: cars delivered in the year (logarithmic axis: each tick is about three times the one before, every second tick ten times) against the operating margin. The faint lines show the path from 2019 to the selected period. Choose a period; tap a dot for its figures. For the first half of 2026 the deliveries are doubled on the axis as a scale aid only, not a forecast: seasonality and the second half are not modelled.
Comparison basis: Mercedes-Benz Cars* uses adjusted EBIT; the other points use reported operating profit. BMW Group includes BMW, MINI and Rolls-Royce. For 2025, Mercedes reported 3.7% versus 5.0% adjusted; in H1 2026, 1.9% versus 4.0%. This is not a ranking on a uniform accounting basis.
For comparison: Hermès earned a recurring operating margin of 41.0 per cent in 2025 and in the first half of 2026. It publishes no unit figures, so it has no dot.
Why a luxury brand and a volume maker want different things.
If fewer cars are available than buyers want, the maker sets the price and grants no discounts. Waiting lists protect the resale value, and a high resale value supports the price of the next car.
For status goods, demand can rise with the price, because the price signals that few people own one (Veblen good, see the glossary). The rule from tab 3, a higher price means fewer buyers, then holds only in part.
Ferrari kept its deliveries in 2025 flat by design, at 13,640 cars, and its order book covers 2027. Ferrari managers regularly cite a maxim attributed to Enzo Ferrari: always deliver one car less than the market demands.
A platform, an engine family or a software system costs billions, whether 10,000 or two million cars use it. More cars lower the cost per car, fewer cars raise it (tab 2).
Plants, staff and suppliers are planned for a volume. Mercedes-Benz is reducing its global capacity to around 2.2 million cars by 2028; in 2025 it sold 1.80 million.
Every additional car makes the brand a little less rare. If supply grows faster than demand at full price, discounts follow, resale values fall and the pricing power weakens.
Cars sold per year in thousands, with the adjusted return on sales below. Top-End: Mercedes-AMG, Mercedes-Maybach, G-Class, S-Class, GLS, EQS and EQS SUV. Core: all derivatives of the C- and E-Class. Entry: all derivatives of the A- and B-Class, such as CLA, GLA and GLB.
From 2023 to 2025 Mercedes-Benz sold 242,760 fewer cars. By segment, Entry fell by 135,425 (−22 per cent), partly as planned, Top-End by 60,242 (−18 per cent) and Core by 47,093 (−4 per cent). By region, 185,294 of the lost cars, about three quarters, were in China. In the first half of 2026 sales fell by another 7.0 per cent, to 837,195 cars: Top-End −7.9 per cent, Entry −5.4 per cent, China −28 per cent.
Mercedes-Benz in its own words and in its figures.
The reading: Mercedes wanted to be like Hermès, planned 400,000 luxury cars instead of 280,000, forgot that luxury lives on scarcity, lost sales and margin as a result, and now needs the A-Class it once dropped. Each part against the sources.
Källenius compared the G-Class with a Hermès Birkin bag and treated scarcity as part of the strategy (February 2022, as reported by Börsen-Zeitung). A statement that Mercedes should become like Hermès is not documented; "Hermès on wheels" is a paraphrase from the press.
The plan of May 2022: around 60 per cent more Top-End cars in 2026 than the roughly 250,000 of 2019, which comes to about 400,000 (our calculation). The starting point was 305,000 in 2021; 281,492 is the figure for 2024. The peak was 328,268 in 2023, and 268,026 were sold in 2025.
Scarcity was an explicit part of the plan. The tension lay in the plan itself: scarcity and growth at the same time, 60 per cent more Top-End cars and about 5 per cent more cars a year overall.
Sales fell by 12 per cent from 2023 to 2025, the margin from 14.6 per cent in 2022 to 5.0. But the Top-End target was never approached, so the market was not flooded with luxury cars; three quarters of the lost cars were in China; and BMW Group, with a different strategy, fell from 9.8 to 5.3 per cent from 2023 to 2025.
Production of the A-Class was extended to 2028, a successor is reported from 2028, and Källenius has announced another entry-level model below the CLA. Mercedes presents the new CLA and GLB as the entry points to the brand, and Top-End remains "a cornerstone".
Interpretation, marked as such.
Read one way, the strategy misjudged its own success. The margins of 2021 and 2022 came from a scarcity Mercedes did not create: the shortage of chips, which let it deliver its most expensive cars first and raise prices. The plan of 2022 treated that windfall as a lasting luxury position: fewer entry models, higher prices, more luxury cars and more cars overall. When supply returned and China turned, the pricing power went, and plants built for more than 2.2 million cars remained. In 2025 Mercedes-Benz earned €2,650 adjusted EBIT per car; reported EBIT was about €1,980. BMW Group earned €2,540 and Škoda €2,400, using different reporting scopes.
Read the other way, most of the decline came from outside. Sales in China, more than a third of all Mercedes cars in 2023, fell by a quarter by 2025; tariffs cost about 1.1 percentage points of margin in 2025; demand for the large electric EQS fell short, and production of the S-Class and EQS was cut to one shift in 2024. BMW Group, whose strategy differs from this Mercedes plan, lost almost half its margin from 2023 to 2025. On this reading the plan was overtaken by its markets.
Both readings hold in part. The figures show where the line runs. Ferrari and Lamborghini, with 10,000 to 14,000 cars a year, kept margins above 20 per cent from 2022 to the first half of 2026. Bentley, of the same size but with deliveries falling from 15,174 in 2022 to 10,131 in 2025, dropped to 8.3 per cent. The brands with hundreds of thousands or millions of cars moved with their markets. High volume does not rule out exclusivity for individual models. These figures establish no universal volume limit for a luxury strategy.
Revenue and operating profit divided by the cars delivered, sorted by profit per car. Our calculation from the companies' figures.
* Mercedes-Benz Cars: adjusted operating profit. Reported 2025 EBIT per vehicle was about €1,980 (3.7% margin), compared with €2,650 adjusted. These quotients include business beyond new-car sales; they are not individual model profits or selling prices.
Porsche without the costs of its realignment: €12,570 per car (tab 6).
The margins are as each company reports them: Mercedes-Benz Cars adjusted for special items, the others as reported; Porsche AG includes its financial services, BMW is its automotive segment. Ferrari counts shipments to dealers, the others deliveries or unit sales. Lamborghini and Bentley are brands within Audi and the Volkswagen Group, so internal transfer prices shape their margins (tab 6). Mercedes-Benz for 2019 is the former Mercedes-Benz Cars division of Daimler, including smart; Lamborghini's operating profit for 2019 comes from a press report. The figure of about 400,000 Top-End cars is our calculation from the plan published in May 2022.
A margin is not the whole story of a brand. Ferrari's model depends on a small number of very wealthy buyers and on a long waiting list. Hermès rejects the idea of artificial scarcity: its supply, it says, is limited by the time its craftspeople need, and it keeps opening new workshops. Whether Mercedes' return to entry models brings back volume without diluting the brand is open.
The AI boom is financed in a circle: investors put money into AI companies that are contractually obliged to buy from those same investors. Nvidia commits up to $100bn to OpenAI, OpenAI commits around $820bn of compute to Microsoft, Oracle, AWS, Nvidia, CoreWeave and Broadcom, Microsoft holds 27% of OpenAI and books OpenAI's Azure spending as AI revenue. The Dependencies chapter shows that circle. This tab asks the question that matters for a cost structure: what does a data centre do to a profit and loss account, and how much of the answer is an accounting choice?
The same company, the same market, two depreciation assumptions. The steeper the fixed-cost block, the earlier the loss. ● = break-even.
What the four largest platforms plan to invest in 2026, in billions of dollars. The last bar is the estimated annual depreciation difference between a six-year and a three-year useful life on that sum.
Three honest caveats. First, the model is a stylised company with revenue of 100, fixed costs of 30 and a variable ratio of 50%, not a real balance sheet. Second, a real data centre earns revenue too; here only the cost side is shown, because that is what the fixed-cost lever from tab 2 acts on. Third, nobody knows the true useful life of an AI accelerator. Six years is the figure in the accounts, two to three years is what the critics assume from thermal stress and the pace of new hardware generations. The truth is somewhere in between, and it moves hundreds of billions.
Agentic flooding is the name a research group gave in August 2026 to a surge in the volume or complexity of requests that a service receives, caused by AI agents, that substantially strains the service. The paper is about public offices and courts. The mechanism is not. It is a cost story and it belongs next to the fixed-cost lever: producing a document has become almost free, reading, checking and deciding has not. The cost did not disappear. It moved from the sender to the receiver. This tab shows what that does to a working week, what it already looks like in practice, and what may follow in the near, the middle and the far future.
What lands on one person's desk in a week, and what checking it properly costs. All four values are your estimate; the defaults describe a mid-sized agency or department in 2026.
Minutes per document as a function of its length. Stylised assumptions: writing by hand costs 20 minutes a page; with an agent it costs 10 minutes plus a quarter of a minute a page for a glance; reading and checking costs what you set above, plus five minutes to decide what to do with it. ● = the page from which the reader pays more than the writer.
Hours of checking per week as a function of the number of documents received, for three document lengths. The dashed line is one full working week of 40 hours: above it, one person's entire week goes into checking before any real work begins. ● = your setting.
Nine places where the flood is measurable today. The figures are those reported by the studies named in the footer; the setting differs each time, the arithmetic does not.
Everyone is fast now. Writing an email, an idea or an assignment takes a minute; reading it takes as long as before. Microsoft measured 117 emails and 153 chat messages per person and day in its own usage data, an interruption every two minutes and 57 per cent of meetings without an invitation (June 2025, before most agents were in use). The sender's time per message collapsed. The receiver's did not.
Partner agencies deliver long, polished documents in which little can be executed. Stanford and BetterUp surveyed 1,150 US desk workers in September 2025: 40 per cent had received such "workslop" in the previous month, each case took just under two hours to sort out, about 186 dollars per employee and month, and roughly half of the recipients afterwards rated the sender as less capable and less reliable. The polish is real. The substance is what the reader has to find.
"According to the AI everything is doable in a few days." The model's estimate is text, not experience, and it meets an old bias, the planning fallacy. METR had 16 experienced developers work on 246 real tasks in 2025 with and without AI. With AI they were 19 per cent slower, had expected to be 24 per cent faster and still believed afterwards that they had been 20 per cent faster. The gap between felt and measured speed is the raw material of every unrealistic timeline.
The paper that coined the term collected 84 cases in 11 jurisdictions. German social courts reported a 55 per cent rise in caseload in 2025 attributed to AI-written claims, single submissions ran past 4,000 pages, and Australia reintroduced fees for freedom-of-information requests. In 87 per cent of the cases the mechanism was the same: a language model writing text cheaply for a service that has to process it expensively.
27 per cent of the paper's cases were not services at all but channels of participation: freedom-of-information requests, public consultations, comments on plans. When a thousand identical objections cost nothing to send, the count stops meaning anything, and the office that has to answer each one is the one that pays.
The curl project, whose code sits in nearly every device, ended its bug bounty on 31 January 2026 because of a "torrent" of AI-written reports; seven arrived within one sixteen-hour stretch and none described a vulnerability. GitHub introduced caps on open pull requests per outside contributor in June 2026 and wrote the sentence that fits this whole tab: the cost to create has dropped, the cost to review has not. Merged pull requests rose from 25 million a month in January 2023 to 90 million in March 2026.
A pull request is a proposed code change that somebody must read before it goes in. An analysis of 470 open-source pull requests by CodeRabbit found about 1.7 times as many problems in those co-written with AI as in human ones; validating one takes half an hour or more; one developer with an agent produces five or six a day. The arithmetic gives every producer a reviewer who does nothing else for three hours a day (The New Stack, April 2026; the article is vendor-sponsored, so treat the figures as a practitioner's estimate).
LinkedIn counted about 11,000 applications a minute in mid-2025, 45 per cent more than a year earlier; a British graduate opening drew 140 on average. Recruiters answer with friction, tests and video steps, which is exactly the response the government paper describes: raise the cost of sending, at the price of fairness for those who still apply by hand.
MIT's NANDA group found in August 2025 that about 95 per cent of corporate generative AI pilots showed no measurable effect on the profit and loss account. Upwork found in July 2024 that 77 per cent of employees said the tools had added to their workload and 39 per cent spent more time reviewing AI output. Both fit the model above: generation was accelerated, checking was not, and checking is where the hours are.
The claim: the flood makes the work doable only as a punishing one-person job, and only for those who can execute the thing themselves and do. What holds, and where a caveat belongs.
What holds. When the cost of a page falls to zero, length no longer signals effort, and the only thing that still separates a good concept from a bad one is whether somebody can and will execute it. That somebody is the person who knows how long a thing really takes, which is precisely the knowledge the model does not have. The data agree so far: the METR perception gap, the two hours per workslop case and the 39 per cent who review more all describe the same shift of hours from producers to the few who can judge. Scarcity moved from writing to judgment, and judgment cannot be copied.
Where the caveat belongs. First, the judge is flooded too; being the only one who can tell substance from filler makes a person the bottleneck, not the winner, and Upwork's 71 per cent burnout figure sits in the same survey. Second, checking can be partly automated as well, and the precedent is email spam: it reached about 90 per cent of all email traffic in 2009 and email survived through filters, sender authentication and reputation, not through heroics. Third, the gains are real where the task is narrow and the output verifiable; MIT's 5 per cent and the back-office cases exist. The observation is right about the present. Whether it stays right depends on whether organisations build the filters or keep asking one person to be the filter.
Interpretation, not forecast. Three horizons, each with the observation that would show it to be wrong.
Fees, caps, forms and page limits return, in the order the paper predicts: offices first, platforms second, firms third. "Who executes this and when" becomes the acceptance question. A polished document stops being evidence of work; the workslop survey shows that the reputational bill already lands on the sender. Inside teams the hours move to the few who can judge, response times lengthen and silent triage spreads, the unanswered email as a filter. This is the punishing-job phase.
Would contradict it: the number of documents per person falls again, or the minutes per document fall because filters work.
Value migrates from producing to accepting and rejecting: reviewers, testers, editors, whoever signs off. Agencies are paid for the prototype that runs, not the concept that reads well, and a tender asks for one page and a named person. Identity and reputation become the gate: signed senders, allow lists, structured submissions instead of prose, the paper's "agent-native interfaces". Agents also move to the receiving side, which turns human hours into compute costs and, by the logic of the Jevons paradox, raises volume further because sending keeps getting cheaper.
Would contradict it: the email path, standards and filters, makes the problem boring within a few years; or the productivity statistics show the gains that 95 per cent of pilots did not.
On the first path flooding becomes background noise handled by protocol, the way spam did. Text costs nothing and proves nothing, so proof moves into things that cannot be generated: a signature, a deposit, a working prototype, a delivered result. The cost of proof becomes an ordinary line in every cost structure, like insurance. On the second path institutions ration by price and priority: whoever can pay for review is served, whoever cannot waits, and public services face the trade-off the paper names, access against protection. In cost terms the flood is an externality, and the four classic answers are price, quota, standard and liability. Which of the four wins decides who bears the cost.
Would contradict it: models whose output other models can verify reliably and cheaply, which would remove the asymmetry this whole tab rests on.
Six acceptance rules that follow from the arithmetic above. None of them needs a new tool.
Ask for the one page that would survive if the other 49 were deleted: decision, cost, owner, date. Everything else is an appendix, and appendices are not read before the decision.
Timelines count only when they come from the person who will do the work, not from the tool. If the concept says three days, ask who has the three days.
Agency contracts on prototypes, milestones and things that run. Length is no longer a proxy for effort, so stop paying for it.
Measure documents per week and minutes per document; the flood line above is a management figure, not a feeling. What is measured can be capped.
The person who can judge is the scarce resource. Give them blocked time, a queue and the right to reject without reading to the end.
Use machines to triage, summarise and check claims against sources; keep the acceptance human and accountable. The sender's agent against your agent is a cost race you should not run with people.
The building blocks, cleanly separated. Rule of thumb: revenue flows from sales, income is the umbrella term, costs split into fixed and variable, and profit is what remains.
Value of the products and services sold in a period: price × quantity. In everyday use, "revenue" and "sales revenue" are used interchangeably.
Total value added in a period. Comprises sales revenue plus, for example, interest and investment income, rental income or disposals of assets. All revenue is income, but not all income is revenue.
Incurred no matter how much or how little is produced: rent, salaries, depreciation on plants and machinery, interest, insurance, base IT costs. Hard to cut in the short term ("sticky costs"), which is exactly why they are dangerous in a downturn.
Grow and shrink with production volume: materials and supplier parts, production energy, freight, packaging, sales commissions. When sales collapse, they automatically fall too: they "breathe".
Revenue minus variable costs. It must first "cover" the fixed costs; only after that does profit begin. The contribution margin ratio determines how quickly revenue changes translate into profit changes.
What remains after deducting all costs. Operating result (EBIT): before interest and taxes, it measures the core business. Net income: after interest and taxes. When negative it is called a loss, and the fixed costs keep running regardless.
Debts owed to suppliers, banks or the tax office at the reporting date. They are not costs, but they must be serviced regardless of revenue. High fixed costs + high liabilities = double risk: a revenue collapse then hits the result and liquidity (the ability to pay).
The revenue at which profit is exactly zero: the contribution margin exactly equals the fixed costs. The distance between current revenue and break-even is a business model's "margin of safety".
The contribution margin as a share of revenue, so the part of every euro of revenue that is left over to pay the fixed costs. It is the number that decides how quickly a business reaches its break-even, and it is the second input to the break-even formula above.
How far revenue can fall before the loss zone begins, measured from today's revenue down to the break-even. A firm at 30 per cent has room; a firm at 5 per cent is one bad quarter away from a loss. This is the KPI in the first tab, and the fixed-cost lever is what makes it shrink.
The operating result as a share of revenue, before interest and taxes. It says what is left of every euro of revenue from the core business, and it is the figure most often quoted about a company. Volkswagen ran at 3.8 per cent in the first half of 2026; a machine builder in a good year runs at eight to twelve.
A machine bought once is charged to the result over the years it is expected to serve. That expectation is the useful life, and it is an assumption, not a measurement. A shorter life means a higher annual charge and therefore a bigger fixed block. This is why the AI tab moves one slider and the whole break-even shifts: the same hardware, written off over three years instead of six, doubles the annual charge without a single thing changing in the real world.
The higher the share of fixed costs, the more strongly profit reacts to revenue changes, in both directions. A DOL of 2.8 means: 1% less revenue → 2.8% less profit.
Measures how strongly volume reacts to price changes. |ε| > 1: elastic, price increases cost a disproportionate amount of sales. |ε| < 1: inelastic, price increases largely stick (e.g. necessities).
The ability to pay bills as they fall due. Companies rarely fail because of a single year's loss; they fail when the money runs out. Fixed costs and liabilities determine how long a revenue collapse can be endured.
"Expenses" is the income statement term (everything that reduces equity), "costs" the term used in internal management accounting (valued consumption for producing output). For this tool the two are treated as identical for simplicity.
A surge in the volume or complexity of requests that a service receives, caused by AI agents, that substantially strains the service (Schmitz, Hammond and Chan, August 2026). Coined for public offices, but the mechanism is general: whoever can generate cheaply floods whoever must check expensively.
Producing a text got cheap, checking it did not. The older folk version is Brandolini's law: refuting nonsense takes an order of magnitude more effort than producing it. In cost terms the sender's variable cost per page fell toward zero while the receiver's stayed where it was.
AI-generated work that looks polished but lacks the substance to advance a task, so that the receiver has to redo or decode it (Stanford and BetterUp, September 2025). The polish is the problem: it hides the missing work until somebody reads to the end.
A cost that one party causes and another bears, the classic example being pollution. The flood is one: the sender's saved hour reappears as the receiver's checking hours. The four classic remedies are a price (fees), a quota (caps), a standard (formats) and liability (you answer for what you send).
Expenses or income a company reports separately because it regards them as one-off: restructuring, write-downs, legal settlements. They are part of the reported result; "adjusted" figures leave them out. Which items count as special is the company's own decision, which is why adjusted figures need to be read with care.
Booking as many charges as possible in one weak year, often around a change of management, so that later years compare against a low base and look better. Permitted within the accounting rules; recognisable by special items piling up in one period (tab 6, Porsche 2025).
Goodwill is the part of a purchase price paid above the value of the acquired assets, for expected future earnings. If those expectations fall, it has to be written down. The write-down reduces profit but costs no cash; the cash was paid when the company was bought.
Cash from the operating business minus investment, in the car business as companies of the Volkswagen Group report it. Write-downs do not reduce it, payments do. It is the check on profit figures that depend on accounting choices.
The price at which companies of one group sell goods or services to each other, for example a platform or an engine. It decides in which company and which country the profit appears; within the limits of tax law, it is a choice.
A good for which demand can rise with the price, because a high price signals that few people can own it. Named after the economist Thorstein Veblen, who described conspicuous consumption in 1899. It works only as long as the good stays rare (tab 7).
The change in the prices a car maker actually achieves, after discounts and incentives, compared with the year before. Mercedes-Benz reported positive net pricing while chips were scarce and negative net pricing from 2024.
The three segments in which Mercedes-Benz reports its car sales. Top-End: Mercedes-AMG, Mercedes-Maybach, G-Class, S-Class, GLS, EQS and EQS SUV. Core: the C- and E-Class and their derivatives. Entry: the A- and B-Class and their derivatives, such as CLA, GLA and GLB.