In an industry where scale has always been the ultimate competitive advantage, something unusual is happening. Small, AI-native agencies are not just surviving - they are thriving. They are winning pitches against holding companies with 100x their headcount. They are delivering results that make CMOs question why they ever signed those seven-figure retainers with the global giants.
This is the story of how one agency - born in Budapest, powered by AI, and expanding across four continents - is rewriting the rules of modern marketing.
The $50 Billion Problem with Big Agencies
The global advertising holding companies are massive. WPP reported revenue of approximately $18.3 billion in 2025 - though that figure was down 8.1% year over year. Publicis Groupe posted net revenue of 14.5 billion euros with 5.6% organic growth. Dentsu closed the year with 1.19 trillion yen in net revenue but swung to a staggering 327.6 billion yen net loss after heavy impairment charges in the Americas and EMEA.
$1.14T
Global Ad Spend 2025
These numbers look impressive until you examine the underlying reality. The holding company model was designed for an era of TV upfronts, print campaigns, and media buying commissions. Today, that model is burdened by layers of middle management, legacy technology platforms, siloed data systems, and organizational complexity that makes meaningful AI adoption nearly impossible.
"86% of CFOs say technical debt is a moderate or significant barrier to enterprise AI adoption. For agencies built on 15-year-old tech stacks, this is not a theoretical problem - it is an existential one."
- BusinessWire, Enterprise AI Adoption Research, 2025
Consider this: almost half of enterprise organizations report that their oldest legacy application is between 11 and 20 years old, while more than one in ten still run applications that are 21 to 30 years old. Nearly half say they cannot stop supporting these legacy systems because they remain business-critical. Now imagine trying to bolt generative AI, real-time bidding algorithms, and predictive audience models onto that foundation.
You cannot. And that is exactly the opportunity.
Hungary's Secret Weapon: Engineering Talent at Scale
Hungary has quietly become one of Europe's most important technology hubs. The country that produced Nobel laureates in physics and chemistry, that gave the world the mathematical foundations of computing through John von Neumann, and that launched globally successful companies like Prezi, LogMeIn, and Ustream - this country has a depth of STEM talent that punches far above its weight class.
3
Unicorn-Class Tech Exits from Budapest
40-60%
Lower Engineering Costs vs Western Europe
13
Hungarian Nobel Prize Winners
Budapest's technical universities produce graduates who are deeply trained in mathematics, computer science, and engineering. The founders of Prezi, LogMeIn, and Ustream went on to create Bridge Budapest, an NGO that actively cultivates the next generation of Hungarian entrepreneurs. The result is a mature, internationally connected ecosystem that combines world-class engineering talent with costs that are 40 to 60 percent lower than London, New York, or San Francisco.
For a marketing agency, this creates a structural advantage that no amount of holding company capital can replicate. When your AI engineers, data scientists, and automation specialists are based in Budapest, you can build custom tools at a fraction of the cost - and invest the savings into building even more tools. It is a compounding advantage.
Zero Legacy Debt: The Speed Advantage
When a holding company wants to adopt AI, it faces a gauntlet of challenges: migrating data from dozens of incompatible platforms, retraining thousands of employees, navigating internal politics between competing business units, and satisfying shareholders who expect predictable quarterly earnings.
When a boutique AI-native agency wants to adopt a new model or tool, it simply builds it. No committees. No migration projects. No 18-month roadmaps. The tool goes from concept to production in days, not fiscal quarters.
"The companies that will dominate the next decade of advertising are not the ones with the most employees. They are the ones with the least legacy code."
This is not theoretical. At the beginning of 2026, over three-quarters of organizations report using AI in some capacity - but only about 1% have mature deployments delivering real, measurable value. The gap between "using AI" and "being AI-native" is enormous. Holding companies fall squarely in the first category. They have AI initiatives, AI task forces, AI partnerships. What they lack is AI in the bloodstream of every campaign, every bid, every creative decision.
Custom-Built vs. Off-the-Shelf: Why Tools Matter
There is a fundamental difference between an agency that buys SaaS tools and one that builds its own. When you subscribe to the same platforms as every other agency - the same bid management tools, the same creative testing frameworks, the same analytics dashboards - you are, by definition, commoditized. Your output is constrained by the same capabilities and the same limitations as every competitor using the same software.
| Factor |
Off-the-Shelf SaaS |
Custom AI Tools |
| Speed of iteration |
Vendor roadmap (months) |
Internal sprint (days) |
| Competitive moat |
None - competitors use the same tool |
Proprietary algorithms and data |
| Data ownership |
Vendor-controlled |
100% agency-owned |
| Cost at scale |
Per-seat pricing compounds |
Marginal cost near zero |
| Margin impact |
Compresses over time |
Expands over time |
Custom-built AI tools flip this dynamic entirely. When your creative testing engine is purpose-built for your workflow, when your audience modeling system learns from every campaign you run, and when your bidding algorithms are trained on your proprietary performance data - you are building a compounding advantage that grows with every dollar of media spend you manage.
The cost of building these tools has plummeted. What once required a team of 20 engineers and a year of development can now be prototyped in weeks by a small team leveraging large language models for code generation, testing, and iteration. This is the AI-building-AI flywheel that makes the current moment so transformative for small agencies.
The Four-City Model: Global Reach, Local Execution
Scale used to mean hiring thousands of people in dozens of offices. The new model is radically different: a small number of strategically placed hubs, each serving a distinct function.
Budapest - Engineering & AI Development
The heart of the operation. This is where the AI tools are built, where data pipelines are maintained, and where the proprietary technology stack evolves daily. Hungary's combination of deep technical talent and favorable economics makes it the ideal base for the agency's most important asset: its technology.
New York City - Enterprise Sales & Strategy
The world's largest advertising market demands a local presence. NYC is where enterprise relationships are built, where strategy is presented to C-suite clients, and where the agency operates at the highest levels of the American marketing ecosystem.
Dubai - MENA Expansion
The Middle East and North Africa region represents one of the fastest-growing digital advertising markets in the world. Dubai serves as the gateway to clients across the Gulf states, Saudi Arabia, and the broader region - markets where digital ad spend is growing at double-digit rates.
Manila - Operations & Campaign Management
For campaign execution, reporting, and client communication across time zones, Manila provides an exceptional talent pool of English-speaking marketing professionals at operational costs that keep margins healthy.
"The agency of the future does not have 10,000 employees in 80 offices. It has 200 specialists in 4 cities - each one augmented by AI that multiplies their output by 10x."
The Margin Revolution: Fewer People, More Profit
Traditional agency economics are well-documented. The average marketing agency operates at net profit margins between 15% and 20%, with the industry's best performers reaching 25%. Gross margins typically range from 30% to 60% depending on the service mix. For holding companies, the picture is similar - Publicis reported an operating margin of 18.2% in 2025, the highest in the industry.
15-20%
Average Agency Net Margin
18.2%
Publicis Operating Margin (Industry High)
30-45%
AI-Native Agency Target Margin
But here is where the math gets interesting for AI-native agencies. When AI handles campaign optimization, creative testing, audience segmentation, bid management, reporting, and large portions of content production - the labor cost structure changes fundamentally. A team of 50 people augmented by custom AI tools can manage the workload that would require 300 at a traditional agency. The revenue stays the same. The costs collapse. Margins expand to levels that holding companies can only dream about.
Top-quartile AI-native firms are already demonstrating that a 30% to 45% net margin is achievable without sacrificing quality - in fact, the AI-driven approach often delivers superior results because decisions are made on data, not gut instinct, and optimizations happen in real time rather than in weekly status meetings.
Why CMOs Are Switching to Boutique AI Agencies
The shift is not theoretical. It is happening now, and it is accelerating. Here is what CMOs tell us when they explain why they left their holding company agency:
- The "B-team" problem: Holding companies pitch with their senior stars, then staff the account with juniors. Boutique agencies put their best people - and their best AI - on every account.
- Speed of execution: What takes a holding company two weeks of internal approvals takes a small agency two hours. In performance marketing, that speed differential directly translates to revenue.
- Transparency: Large agencies often obscure their media buying margins, technology fees, and the actual work being done. Small agencies with nothing to hide share dashboards, algorithms, and every line of spend in real time.
- Actual AI integration: CMOs are tired of agencies selling "AI-powered" services that amount to a ChatGPT subscription and a few automated reports. They want agencies where AI is embedded in the decision-making architecture - not bolted on as a marketing buzzword.
- Cost efficiency: When an agency's operational costs are 40-60% lower because of its geographic model and AI leverage, those savings flow to the client through better results per dollar spent.
The Road to $100 Million
A $100 million revenue target for a boutique agency sounds audacious. But consider the math. Global advertising spend surpassed $1.14 trillion in 2025 and is projected to exceed that in 2026. Even capturing 0.01% of that market - one hundredth of one percent - puts an agency at the $100 million threshold.
The path is not about growing headcount linearly. It is about leveraging AI to handle exponentially more client spend with incrementally more people. It is about building proprietary tools that create switching costs and compounding performance advantages. And it is about positioning in the markets - enterprise USA, high-growth MENA, cost-efficient APAC - where the combination of AI capability and local presence creates an unassailable value proposition.
"The trillion-dollar advertising industry is being redistributed. The question is not whether boutique AI agencies will capture significant market share. The question is how fast."
The holding companies know this. WPP's 8.1% revenue decline in 2025 was not a blip - it was a structural signal. Dentsu's massive impairment charges tell the same story. The old model is not just struggling to grow. In some cases, it is actively contracting.
Meanwhile, the agencies that were born in the AI era - that never had legacy tech to migrate, that built their culture around data-driven decision-making from day one, that chose their office locations based on talent economics rather than historical inertia - these agencies are growing at 30%, 50%, even 100% year over year.
The Future Belongs to the Fast
The advertising industry's David vs. Goliath moment is here. The Goliaths are not going to disappear overnight - they have too many long-term contracts, too much institutional inertia, and too many talented individuals to collapse entirely. But they will lose ground, steadily and then suddenly, to agencies that are purpose-built for the AI era.
From Budapest to New York, from Dubai to Manila, a new breed of agency is proving that you do not need 100,000 employees to deliver world-class marketing. You need world-class AI, world-class engineers, and the courage to build something entirely new.
The journey from Budapest to $100 million is not a fantasy. It is a business plan - and the numbers say it is already working.
Egy olyan iparban, ahol a meret mindig is a vegso versenyelonyt jelentette, valami szokatlan tortenik. A kis, AI-nativ ugynoksegek nem csak tulelnek - viragoznak. Pitcheket nyernek olyan holding tarsasagokkal szemben, amelyeknek szazszoros a letszamuk. Olyan eredmenyeket szallitanak, amelyek arra kesztetik a marketingvezetoket, hogy megkerdojelezzek, miert irtak ala valaha is azokat a hetjegyu megbizasokat a globalis oriasokkal.
Ez a tortenete annak, hogyan irja ujra egy ugynokseg - amely Budapesten szuletett, AI-val mukodik es negy kontinensen terjeszkedik - a modern marketing szabalyait.
Az 50 Milliard Dollaros Problema a Nagy Ugynoksegekkel
A globalis reklamholding tarsasagok hatalmasak. A WPP kozel 18,3 milliard dollaros bevetelt jelentett 2025-ben - bar ez 8,1%-kal csokkkent az elozo evhez kepest. A Publicis Groupe 14,5 milliard euros netto bevetelt ert el 5,6%-os organikus novekedessel. A Dentsu 1,19 billio jenes netto bevetellel zart, de hatalmas, 327,6 milliard jenes netto veszteseget konyvelt el sulyos ertekvestesi terhek miatt az amerikai es az EMEA regiokban.
18,3 Mrd$
WPP Bevetel 2025
1,14 B$
Globalis Reklamkoltes 2025
Ezek a szamok lenyuugozonek tunnek, amig meg nem vizsgaljuk a mogottuk levo valosagot. A holding tarsasagi modellt a TV-upfrontok, a nyomtatott kampanyok es a mediavasarlasi jutalekok korszakara terveztek. Ma ezt a modellt a kozepvezetes retegei, az elavult technologiai platformok, az elszigetelt adatrendszerek es a szervezeti osszetettseg terheli, ami az erdemi AI-bevezetest szinte lehetetlenne teszi.
"A CFO-k 86%-a szerint a technikai adossag mersekelt vagy jelentos akadalyt jelent a vallalati AI bevezetesben. Azoknak az ugynoksegeknek, amelyek 15 eves tech stackekre epulnek, ez nem elmeleti problema - ez letezesi kerdes."
- BusinessWire, Vallalati AI Befogadasi Kutatas, 2025
Gondoljunk erre: a vallalati szervezetek kozel fele jelenti, hogy a legregebbi alkalmazasuk 11 es 20 ev kozotti, mig tobb mint tizeduk meg 21-30 eves alkalmazasokat is futtat. A szervezetek kozel fele allitja, hogy nem tudja leallitani ezeket az orokkolt rendszereket, mert azok tovabbra is uzletileg kritikusak. Most kepzeljuk el, hogy erre az alapra probalunk generativ AI-t, valos ideju licitalo algoritmusokat es prediktiv kozonsegmodelleket epiteni.
Nem lehet. Es pontosan ez a lehetoseg.
Magyarorszag Titkos Fegyvere: Mernoki Tehetseg Nagy Meretekben
Magyarorszag csendben Europa egyik legfontosabb technologiai kozpontjava valt. Az az orszag, amely fizikai es kemiai Nobel-dijasokat adott a vilagnak, amely Neumann Janos altal a szamitastechnika matematikai alapjait teremtette meg, es amely olyan globalis szinten sikeres cegeket inditott utjara, mint a Prezi, a LogMeIn es a Ustream - ennek az orszagnak a STEM-tehetsege messze felulmmulja a meretet.
3
Unicorn-szintu Tech Exit Budapestrol
40-60%
Alacsonyabb Mernoki Koltseg vs Nyugat-Europa
Budapest muszaki egyetemei olyan vegzetteket kepeznek, akik melyrehatoan jaratasak a matematikaban, az informatikaban es a mernoki tudomanyokban. A Prezi, a LogMeIn es a Ustream alapitoi letrehoztak a Bridge Budapestet, egy civil szervezetet, amely aktivan epiti a kovetkezo generacios magyar vallalkozokat. Az eredmeny egy erett, nemzetkozileg osszekapcsolt okoszisztema, amely vilagszinvu mernoki tehetseget egyesit a Londonnal, New Yorkkal vagy San Franciscoval osszehasonlitva 40-60%-kal alacsonyabb koltsegekkel.
Egy marketing ugynokseg szamara ez olyan strukturalis elonyt teremt, amelyet semmilyen mennyisegu holding tarsasagi toke sem kepes lemasolni. Amikor az AI-mernokeid, adattudosaid es automatizalasi specialistaid Budapesten szekelnek, toredek koltsegen epithetsz egyedi eszkozoket - es a megtakaritast tovabbi eszkozok epitesebe fektetheted. Ez egy kamatos elony.
Zero Orokolt Adossag: A Sebessegi Elony
Amikor egy holding tarsasag AI-t akar bevezetni, kihivasok sorjaval szembesul: adatmigracio tucatnyi inkompatibilis platformrol, ezrek atkepzese, a versengo uzleti egysegek kozotti belso politikai navigacio, es olyan reszvenyesek kielgitese, akik kiszamithato negyedeves eredmenyeket varnak.
Amikor egy boutique AI-nativ ugynokseg uj modellt vagy eszkozt akar bevezetni, egyszeruen megepiti. Nincsenek bizottsagok. Nincsenek migracios projektek. Nincsenek 18 honapos utitervek. Az eszkoz a koncepciotol a gyartasig napok alatt eljut, nem penzugyi negyedevek alatt.
"Azok a cegek fogjak uralni a reklamozas kovetkezo evtizedet, amelyeknek nem a legtobb alkalmazottjuk van. Hanem azok, amelyeknek a legkevesebb orokolt kodjuk van."
Ez nem elmeleti. 2026 elejen a szervezetek tobb mint haromnegyede szamol be valamilyen szintu AI-hasznaalatrol - de csak korulbelul 1%-uk rendelkezik erett telepitessel, amely valos, merheto erteket nyujt. Az "AI-t hasznalok" es az "AI-nativak" kozotti szakadek hatalmas. A holding tarsasagok egyertelmuen az elso kategoriaba esnek. Vannak AI-kezdeményezeseik, AI-munkacsoportjaik, AI-partnerseegeik. Amijuk nincs, az az AI minden kampany, minden licit, minden kreativ dontes vereben.
Egyedileg Epitett vs. Dobozos: Miert Szamitanak az Eszkozok
Alapveto kulonbseg van azon ugynokseg kozott, amely SaaS eszkozoket vasarol, es azon, amelyik sajatot epit. Amikor ugyanazokra a platformokra fizetsz elo, mint minden mas ugynokseg - ugyanazok a licitalasi menedzsment eszkozok, ugyanazok a kreativ tesztelesi keretrendszerek, ugyanazok az analitikai dashboardok - definicio szerint arucikke valsz. A kimeneteled ugyanazok a kepessegek es ugyanazok a korlatok altal van korlatozva, mint minden versenytarsade, aki ugyanazt a szoftvert hasznalja.
Az egyedileg epitett AI-eszkozok teljesen megforditjak ezt a dinamikat. Amikor a kreativ tesztelesi motorod a te munkafolyamatodra van epiteve, amikor a kozonsegmodellezo rendszered minden futtatott kampanybol tanul, es amikor a licitalo algoritmusaid a sajat teljesitmenyadataidon vannak betanitva - olyan kamatos elonyt epitesz, amely minden kezelt media koltes dollarjaval novekszik.
Az ilyen eszkozok epiteseenek a koltsege drasztikusan csokkent. Amit korabban 20 mernok es egy ev fejlesztes igenyelt, azt ma heteken belul prototipizalhatja egy kis csapat, nagy nyelvi modellek felhasznalasaval a kodgeneralashoz, teszteleshez es iteraciohoz. Ez az az AI-epit-AI-t lendullokerek, amely a jelenlegi pillanatot olyan atalakitova teszi a kis ugynoksegek szamara.
A Negyvarosi Modell: Globalis Eleres, Helyi Vegrehajtas
A meret regen ezrek alkalmazasat jelentette tucatnyi irodaban. Az uj modell gyokeresen mas: strategiailag elhelyezett kozpontok kis szama, mindegyik sajat funkciot szolgal.
Budapest - Mernoki Fejlesztes es AI
A mukodes szive. Itt epulnek az AI-eszkozok, itt tartjak karban az adatvezetekeket, es itt fejlodik naprol napra a sajat technologiai stack. Magyarorszag mely technikai tehetsegenek es kedvezo gazdasagi kornyezetenek kombinacioja idealis bazissa teszi az ugynokseg legfontosabb eszkozenek - a technologiajanak - szamara.
New York City - Vallalati Ertekesites es Strategia
A vilag legnagyobb reklampiacanak helyi jelenletet igenyel. New Yorkban epulnek a nagyvallalati kapcsolatok, itt mutatjak be a strategiat a C-szintu ugyfeleknek, es itt mukodik az ugynokseg az amerikai marketing okoszisztema legmagasabb szintjen.
Dubai - MENA Terjeszkedés
A Kozel-Kelet es Eszak-Afrika regio a vilag egyik leggyorsabban novekvo digitalis reklampiacat kepviseli. Dubai az Obol-allamok, Szaud-Arabia es a tagabb regio ugyfeleihez vezeto kapukent szolgal - olyan piacokon, ahol a digitalis reklamkoltes ketszamjegyu utemben no.
Manila - Operacio es Kampanykezeles
A kampany vegrehajtas, riportalas es ugyfelkommunikacio teren az idozonakon ativelo Manila kivalo angolul beszelo marketing szakember bazist biztosit, mig az operacios koltsegek egeszseges marzsokat tartanak fenn.
"A jovo ugynoksegenek nem 10 000 alkalmazottja van 80 irodaban. 200 specialistaja van 4 varosban - mindegyiket olyan AI erositi, amely 10x-esere sokszorozza a teljesitmenyuket."
A Marzs-Forradalom: Kevesebb Ember, Tobb Profit
A hagyomanyos ugynoksegi gazdasagtan jol dokumentalt. Az atlagos marketing ugynokseg 15-20% kozotti netto profit marzzsal mukodik, mig az iparag legjobbjai elerik a 25%-ot. A brutto marzsok jellemzoen 30-60% kozott mozognak, a szolgaltatas-mixtol fuggoen. A holding tarsasagoknal hasonlo a helyzet - a Publicis 18,2%-os mukodesi marzzsal zarta 2025-ot, ami iparagi csucs.
15-20%
Atlagos Ugynoksegi Netto Marzs
18,2%
Publicis Muk. Marzs (Iparagi Csucs)
30-45%
AI-Nativ Ugynokseg Cel Marzs
De itt valik erdekesse a matematika az AI-nativ ugynoksegek szamara. Amikor az AI kezeli a kampanyoptimalizalast, a kreativ tesztelest, a kozonseg szegmentalast, a licitalaskezlelest, a riportalast es a tartalomgyartas nagy reszet - a munkaero-koltseg struktura alapvetoen megvaltozik. Egy 50 fos csapat, amelyet egyedi AI-eszkozok erositenek, kezelni tudja azt a munkaterhhet, amelyhez egy hagyomanyos ugynoksegnel 300 fo kellene. A bevetel ugyanannyi marad. A koltsegek osszeomlanak. A marzsok olyan szintekre tagulnak, amelyekrol a holding tarsasagok csak almodozhatnak.
A legjobbak kozott az AI-nativ cegek mar most bizonyitjak, hogy 30-45%-os netto marzs elerheto a minoseg felaldozasa nelkul - sot az AI-vezerelt megkozelites gyakran jobb eredmenyeket hoz, mert a dontesek adatokon alapulnak, nem megerzeseken, es az optimalizaciok valos idoben tortennek, nem heti statusz megbeszeleseken.
Miert Valtanak a CMO-k Boutique AI Ugynoksegekre
Az eltolodas nem elmeleti. Most tortenik, es gyorsul. Ime, amit a marketingvezetok mondanak, amikor elmagyarazzak, miert hagytak ott a holding tarsasagi ugynokseguket:
- A "B-csapat" problema: A holding tarsasagok a senior sztarjaikkal pitchelnek, majd juniorokkal staffoljak a fiokot. A boutique ugynoksegek a legjobb embereiket - es a legjobb AI-jukat - minden fiokra raallitjak.
- Vegrehajtas sebessege: Ami egy holding tarsaagnal ket het belso jovahagyas, az egy kis ugynoksegnel ket ora. A teljesitmeny marketingben ez a sebessegkulonbseg kozvetlenul bevetelre forditodik.
- Atlathatsag: A nagy ugynoksegek gyakran elrejtik a mediavasarlasi marzsaikat, a technologiai dijaikat es a tenylegesen vegzett munkat. A kis ugynoksegek, amelyeknek nincs rejteni valojuk, valos idoben megosztjak a dashboardokat, algoritmusokat es minden koltes-sort.
- Valodi AI-integracio: A marketingvezetok unjak, hogy ugynoksegek "AI-vezerelt" szolgaltatasokat arulnak, amelyek egy ChatGPT-elofizetesbol es nehany automatizalt riportbol allnak. Olyanokat akarnak, ahol az AI a dontesi architekturaba van beagyazva - nem marketinges szoganykent van racsavarozva.
- Koltseghateekonysag: Amikor egy ugynookseg mukodesi koltsegei 40-60%-kal alacsonyabbak a foldrajzi modelljeenek es AI-kihasznalasanak koszonhetoen, a megtakaritas az ugyfelhez aramlik jobb eredmenyek formajaban.
Az Ut a 100 Millio Dollarig
Egy 100 millio dollaros beveteli cel egy boutique ugynoksegnek mereszen hangzik. De gondoljunk a matekra. A globalis reklamkoltes 2025-ben meghaladta az 1,14 billio dollart, es 2026-ban varhatoan tovabb no. Meg ennek a piacnak a 0,01%-anak - egy szazadresz szazaleknak - a megragadasa is 100 millio dollaros szintre emeli az ugynokseget.
Az ut nem az emberek szamanak linearis noveleserol szol. Arrol szol, hogy az AI-t kihasznalva exponencialisan tobb ugyfel-koltest kezelj, inkrementalisan tobb emberrel. Arrol szol, hogy sajat eszkozoket epits, amelyek valtasi koltsegeket es kamatos teljesitmeny-elonyoket teremtenek. Es arrol, hogy a piacokra pozicionalj - vallalati USA, magas novekedsesu MENA, koltseghatekony APAC - ahol az AI-kepesseg es a helyi jelenlet kombinacioja tamadhatatlan ertekajanlatot teremt.
"A billio dollaros reklamipar ujraelosztasa zajlik. A kerdes nem az, hogy a boutique AI-ugynoksegek megszereznek-e jelentos piaci reszesedest. A kerdes az, hogy milyen gyorsan."
A holding tarsasagok tudjak ezt. A WPP 8,1%-os bevetel-csokkenese 2025-ben nem egyszeri kilenges volt - strukturalis jelzes volt. A Dentsu hatalmas ertekvesztesi terhei ugyanezt a tortenetet meselik. A regi modell nem csak kuzd a novekedesert. Esetenkent aktivan zsugorodik.
Kozben azok az ugynoksegek, amelyek az AI-korszakban szulettek - amelyeknek soha nem kellett orokolt technologiat migralniuk, amelyek az adatvezerelt donteshozatal kore epitettek a kulturajukat az elso naptol, amelyek az irodahelyeiket tehetseg-gazdasagtan alapjan valasztottak, nem tortenelmi tehetetlenseg alapjan - ezek az ugynoksegek 30%-os, 50%-os, sot 100%-os utemben nonek evrol evre.
A Jovo a Gyorsake
A reklamipar David vs. Goliat pillanata itt van. A Goliatook nem fognak egy ejszaka alatt eltunni - tul sok hosszu tavu szerzodesuuk, tul nagy intezmenyi tehetetlenseguk es tul sok tehetseges emberuk van ahhoz, hogy teljesen osszeomlljanak. De teret fognak veszteni, folyamatosan, majd hirtelen, azokkal az ugynoksegekkel szemben, amelyek celzottan az AI-korszakra epultek.
Budapesttol New Yorkig, Dubaitol Manilaig egy uj tipus ugynokseg bizonyitja, hogy nem kell 100 000 alkalmazott a vilagszinvu marketinghez. Vilagszinvu AI kell, vilagszinvu mernokok kellenek es batorsag kell ahhoz, hogy valami teljesen ujat epits.
A Budapesttol a 100 millio dollarig vezeto ut nem fantazia. Ez egy uzleti terv - es a szamok azt mutatjak, hogy mar most mukodik.