{"id":109477,"date":"2026-06-11T09:39:45","date_gmt":"2026-06-11T09:39:45","guid":{"rendered":"https:\/\/mybusinessfuture.com\/?p=109477"},"modified":"2026-06-14T04:39:26","modified_gmt":"2026-06-14T04:39:26","slug":"when-every-company-calculates-correctly-and-in-the-end-everyone-loses","status":"publish","type":"post","link":"https:\/\/mybusinessfuture.com\/en\/when-every-company-calculates-correctly-and-in-the-end-everyone-loses\/","title":{"rendered":"When Every Company Calculates Correctly and In the End Everyone Loses"},"content":{"rendered":"<p style=\"color:#6190a9;font-size:0.9em;margin:0 0 16px;padding:0;\">5 min read<\/p>\n<p><strong>In Q1 2026, tech firms shed around 80,000 jobs &#8211; nearly half due to automation. Two recent studies reveal why this calculation works for individual businesses yet becomes a trap for the economy as a whole. For mid-sized companies weighing AI investments, a sober look at both sides is well worth the effort.<\/strong><\/p>\n<div style=\"background:#202528;color:#fff;padding:32px 36px;margin:32px 0;border-radius:8px;\">\n<p style=\"margin:0 0 18px 0;font-size:0.95em;font-weight:800;text-transform:uppercase;letter-spacing:0.2em;color:#c0392b;border-bottom:2px solid rgba(192,57,43,0.25);padding-bottom:12px;\">Key Takeaways<\/p>\n<ul style=\"margin:0;padding-left:22px;color:rgba(255,255,255,0.92);line-height:1.6;\">\n<li style=\"margin-bottom:12px;\"><strong style=\"color:#c0392b;\">The math checks out.<\/strong> Replace a role with AI and you keep the full savings &#8211; its cost is borne by the market as lost income curbs demand.<\/li>\n<li style=\"margin-bottom:12px;\"><strong style=\"color:#c0392b;\">The collective loses.<\/strong> When everyone automates at once, demand evaporates faster than the economy can replace it. The study calls this the automation trap.<\/li>\n<li><strong style=\"color:#c0392b;\">The payoff never materializes.<\/strong> According to an MIT review, 95 % of AI pilots deliver no measurable return. Maturity of the solution decides the outcome.<\/li>\n<\/ul>\n<\/div>\n<p style=\"font-size:0.88em;color:#666;margin:20px 0 32px 0;border-top:1px solid #e5e5e5;border-bottom:1px solid #e5e5e5;padding:10px 0;\"><span style=\"color:#202528;font-weight:700;text-transform:uppercase;font-size:0.72em;letter-spacing:0.14em;margin-right:14px;\">Related:<\/span><a href=\"https:\/\/mybusinessfuture.com\/en\/the-real-cost-of-generic-ai-generated-content\/\" style=\"color:#333;text-decoration:underline;\">What truly hidden costs lurk behind interchangeable AI text<\/a>&nbsp;&nbsp;<span style=\"color:#ccc;\">\/<\/span>&nbsp;&nbsp;<a href=\"https:\/\/mybusinessfuture.com\/en\/asia-sourcing-what-it-really-costs-small-and-medium-sized-enterprises\/\" style=\"color:#333;text-decoration:underline;\">Asia sourcing: what it really costs mid-sized firms<\/a><\/p>\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">The calculation that works for each firm in isolation<\/h2>\n<p>Economist Gerry Tsoukalas of Boston University and Brett Hemenway Falk of the University of Pennsylvania modeled the mechanics behind the curtain. Their headline finding sounds almost trivial: swap a worker for AI and the firm saves the full wage bill. The hidden costs, however, land elsewhere.<\/p>\n<p>That displaced worker was also a customer. The lost income shrinks demand, and the ripple effect hits every seller far beyond the former employer. The single firm barely feels the gap; the market absorbs it.<\/p>\n<div style=\"background:#202528;border-radius:10px;padding:26px 30px;margin:32px 0;color:#e9edf0;\">\n<div style=\"font-size:0.72em;text-transform:uppercase;letter-spacing:0.14em;color:#9fb4c2;font-weight:700;margin-bottom:18px;color:#9fb4c2;\">The numbers behind the story<\/div>\n<div style=\"display:flex;flex-wrap:wrap;gap:24px;color:#e9edf0;\">\n<div style=\"flex:1;min-width:130px;color:#e9edf0;\">\n<div style=\"font-size:2em;font-weight:800;color:#ffffff;line-height:1;\">80,000<\/div>\n<div style=\"font-size:0.86em;margin-top:6px;color:#b8c2c9;\">tech jobs cut in Q1 2026, nearly half via automation<\/div>\n<\/div>\n<div style=\"flex:1;min-width:130px;color:#e9edf0;\">\n<div style=\"font-size:2em;font-weight:800;color:#ffffff;line-height:1;\">95 %<\/div>\n<div style=\"font-size:0.86em;margin-top:6px;color:#b8c2c9;\">of AI pilots yield no measurable return (MIT)<\/div>\n<\/div>\n<div style=\"flex:1;min-width:130px;color:#e9edf0;\">\n<div style=\"font-size:2em;font-weight:800;color:#ffffff;line-height:1;\">5 %<\/div>\n<div style=\"font-size:0.86em;margin-top:6px;color:#b8c2c9;\">generate tangible revenue impact; the rest leave balance sheets untouched<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">Why, in the end, everyone still loses<\/h2>\n<p>From many rational individual choices emerges a collective dilemma. Each firm automates because it pays off for them. The result: purchasing power falls faster than new jobs can be created. The researchers frame it as a prisoner\u2019s dilemma &#8211; everyone optimizes in isolation, yet all end up worse off.<\/p>\n<p>Their uncomfortable prescription: levy a tax on automation, akin to a carbon fee. Firms that replace labor would pay for the demand they erase, and the proceeds would fund upskilling. Standard remedies like universal basic income or retraining programs, they argue, are not enough on their own. Whether such a tax ever reaches the statute books is another question entirely.<\/p>\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">The second finding: big money, little impact<\/h2>\n<p>While one study examines the macro level, an MIT analysis provides a view inside companies. Around 300 corporate projects were examined. The results are sobering: 95 percent of AI pilots delivered no measurable return, with only five percent significantly accelerating revenue.<\/p>\n<p>What\u2019s behind this is interesting. In the evaluation, purchasing from specialized providers succeeded about twice as often as in-house development. The greatest returns came from silent automation in back-office operations, while visible marketing projects lagged behind. Wherever you start with processes that are already expensive and repetitive, you\u2019ll get more out of it than with the next chatbot on the homepage.<\/p>\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">What SMEs should take away from this<\/h2>\n<p>For mid-market decision-makers, there are two clear benchmarks against which to measure AI investments.<\/p>\n<div style=\"display:flex;flex-wrap:wrap;gap:16px;margin:20px 0;\">\n<div style=\"flex:1;min-width:240px;background:#f3f7f4;border-radius:8px;padding:18px 20px;color:#1a1a1a;\">\n<div style=\"font-weight:700;color:#2f6b4f;margin-bottom:8px;\">Where automation pays off<\/div>\n<p style=\"margin:0;color:#444;line-height:1.55;\">Expensive, recurring back-office processes with clear rules. Purchased, proven tools instead of in-house development. Measurable before-and-after figures before roll-out.<\/p>\n<\/p><\/div>\n<div style=\"flex:1;min-width:240px;background:#faf3f3;border-radius:8px;padding:18px 20px;color:#1a1a1a;\">\n<div style=\"font-weight:700;color:#a3434a;margin-bottom:8px;\">Where it only shifts costs<\/div>\n<p style=\"margin:0;color:#444;line-height:1.55;\">Visible prestige projects without a clear process behind them. Job cuts as the sole objective. Pilots that never produce a single figure yet keep running anyway.<\/p>\n<\/p><\/div>\n<\/div>\n<p>The automation trap is an argument for closer scrutiny where efficiency ends and harm begins. SMEs decide project by project, rarely in one sweeping move.<\/p>\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">Frequently Asked Questions<\/h2>\n<details>\n<summary><strong>What is the automation trap?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">The automation trap describes a situation in which every business automates rationally to cut costs, but the collective loses out because the resulting loss of purchasing power reduces demand faster than new jobs are created.<\/p>\n<\/details>\n<details>\n<summary><strong>Who authored the study?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">Gerry Tsoukalas of Boston University and Brett Hemenway Falk of the University of Pennsylvania. They model the effect as a competitive demand externality.<\/p>\n<\/details>\n<details>\n<summary><strong>Why don\u2019t basic income or retraining suffice?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">In the authors\u2019 model, these instruments fail to address the root cause: each firm\u2019s incentive to automate more than is socially optimal. Only a levy on automation tackles the issue at its source.<\/p>\n<\/details>\n<details>\n<summary><strong>What does the MIT review say about AI ROI?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">Of roughly 300 projects examined, 95 percent delivered no measurable return. Success was concentrated among companies that bought proven tools and applied them in back-office processes rather than splashy marketing initiatives.<\/p>\n<\/details>\n<details>\n<summary><strong>Should SMEs therefore postpone AI projects?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">Postponement is rarely the answer. A better approach is selective automation: target expensive, repetitive processes with clear metrics before you start. Where the sole goal is cutting headcount, take a second look.<\/p>\n<\/details>\n<div style=\"margin:40px 0 24px 0;\">\n<p style=\"margin:0 0 12px 0;font-size:0.78em;font-weight:700;text-transform:uppercase;letter-spacing:0.18em;color:#666;\">More from the MBF Media Network<\/p>\n<div style=\"padding:14px 18px;border-left:3px solid #0bb7fd;background:#fafafa;margin-bottom:6px;\">\n<div style=\"font-size:0.7em;font-weight:700;color:#0bb7fd;text-transform:uppercase;letter-spacing:0.12em;margin-bottom:4px;\">cloudmagazin<\/div>\n<p> <a href=\"https:\/\/www.cloudmagazin.com\/2026\/06\/11\/wenn-die-ki-80-prozent-des-codes-schreibt-wer-prueft\/\" style=\"font-weight:600;line-height:1.4;color:#1a1a1a;text-decoration:none;\">When AI writes 80 percent of the code, who reviews it?<\/a> <\/div>\n<div style=\"padding:14px 18px;border-left:3px solid #d65663;background:#fafafa;margin-bottom:6px;\">\n<div style=\"font-size:0.7em;font-weight:700;color:#d65663;text-transform:uppercase;letter-spacing:0.12em;margin-bottom:4px;\">digital-chiefs<\/div>\n<p> <a href=\"https:\/\/www.digital-chiefs.de\/ki-rendite-wachstum-konvergenz-pwc-studie\/\" style=\"font-weight:600;line-height:1.4;color:#1a1a1a;text-decoration:none;\">20 percent of firms capture 74 percent of AI returns<\/a> <\/div>\n<div style=\"padding:14px 18px;border-left:3px solid #69d8ed;background:#fafafa;\">\n<div style=\"font-size:0.7em;font-weight:700;color:#69d8ed;text-transform:uppercase;letter-spacing:0.12em;margin-bottom:4px;\">securitytoday<\/div>\n<p> <a href=\"https:\/\/www.securitytoday.de\/2026\/06\/07\/passkeys-mittelstand-passwortlos-fido2-webauthn-praxis\/\" style=\"font-weight:600;line-height:1.4;color:#1a1a1a;text-decoration:none;\">Passkeys in SMEs: the end of passwords<\/a> <\/div><\/div>\n<p style=\"text-align: right;\"><em>Image source: AI-generated (May 2026), C2PA certificate embedded in image<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI automation follows a logic in which every company acts rationally and in the end, everyone loses. What two current studies show the mid-sized sector.<\/p>\n","protected":false},"author":151,"featured_media":109471,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_focuskw":"Automation Trap","_yoast_wpseo_title":"When Every Company Calculates Correctly and In the End Everyone Loses","_yoast_wpseo_metadesc":"Discover how AI automation can lead to a lose-lose situation for businesses, as revealed by two recent studies on the 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