AI Isn’t Killing Advertising, It's Forcing Your Evolution
An educated guess for advertising professionals without yachts.
This is a more serious look than my usual crazy rants. It’s specifically for advertising professionals wondering what's to come. I've been thinking about stuff like this for 40 years and have been obsessed with generative AI since GPT-2 in 2019. Of course I could be wrong. The following is my (and multiple LLMs) opinion based on trends and what industry pros are thinking, saying and doing. Oh and being an ex-creative, I’ve added some tips for today’s creatives towards the end.
1-Year Outlook (2025-2026): The AI Inflection Point
Within the next year, AI will become ubiquitous across creative production, strategy, and media planning. Nearly two-thirds of CMOs (63%) plan to deploy generative AI in the coming 12 months, and 55% expect it to alter their agency partnerships warc.comwarc.com. Many brands will experiment with generative AI for copy, imagery, and personalization – primarily to boost efficiency and speed. Early case studies like Coca-Cola’s generative AI campaign (which let consumers co-create ads) demonstrate the enthusiasm for AI-powered creativity marketingdive.com. However, results are still modest, and marketers are tempering last year’s hype with a focus on responsible use and ROI emarketer.comemarketer.com.
Agency models are already shifting. In the past, agencies were “content creators,” but now they are evolving into “content curators”, guiding AI outputs rather than making everything from scratch warc.com. Over the next year, agencies will invest heavily in AI tools and training – Forrester predicts many will develop brand-specific AI models that blend client first-party data with creative AI, to deliver bespoke solutions resonate.com. Traditional agency offerings are being reimagined: one forecast even says the term “digital agency” will fade as all marketing becomes inherently digital and AI-driven, forcing smaller specialist shops to either fold into larger firms or broaden their capabilities resonate.com. At the same time, in-housing of certain marketing functions will accelerate – clients armed with user-friendly AI (from image generation to programmatic ad platforms) will handle more content production internally, pressuring agencies to prove their strategic value.
Consumer trust and attention in this period will be in flux. There is rising concern about the authenticity of AI-generated content and deepfakes, so brands and platforms are beginning to label AI-created ads to maintain transparency emarketer.com. Giants like TikTok stress disclosure (e.g. labeling AI avatar influencers) to preserve user trust emarketer.com. Meanwhile, consumers continue to drown in content, and attention has become the key currency. Marketers are increasingly prioritizing “attention metrics” – measuring not just views but active engagement time – as a more meaningful gauge of ad impact adexchanger.comchiefmarketer.com. We can expect pilot programs trading on attention (cost-per-second or similar) to grow over the next year, reflecting an industry push to move beyond basic click-through rates in capturing real consumer focus adexchanger.com.
Emerging channels will see early breakthroughs. Retail media networks (RMNs) are booming: global retail media ad spend is projected around $165–169 billion in 2025, surpassing television for the first time adweek.com. By the end of 2025, retail media will command about 15.7% of all ad investment, overtaking TV’s 15.1% share adweek.comadweek.com. This reflects advertisers flocking to platforms like Amazon, Walmart, and Target to reach shoppers at the point of purchase. Short-form video and influencer platforms (TikTok, Instagram) will continue to surge – ad spend on user-generated content is growing ~20% YoY and set to overtake spend on traditional media content in 2025 adweek.com. Early forays into metaverse and AR/VR marketing will persist but remain experimental in this horizon. While fully immersive VR isn’t mainstream yet, brands are dabbling in AR try-on experiences and virtual events. Analysts predict 75% of global brands will adopt some form of AR/VR in marketing by 2026, seeking to engage consumers with interactive 3D content (though mostly as pilots) emerline.com. Voice interfaces (smart speakers, voice search) likewise present a nascent ad channel – for example, brands optimizing content for Alexa or Google Assistant responses – but direct “voice ads” are still limited. Overall, in 2025-2026 these new platforms will be viewed as additions to the mix rather than dominant channels, as marketers test what works.
Campaign metrics and business models will start evolving in response to AI. Agencies historically paid by hourly fees or retainers face pressure as AI automation cuts production time – even major holding companies are questioning the viability of billing by the hour when algorithms do the heavy lifting warc.com. Clients, aware of AI-driven efficiencies, are beginning to demand outcome-based pricing or fee reductions theguardian.com. In the next year, we’ll see more contracts where agencies are paid for results (e.g. sales lifts, lead quality) rather than purely for effort. Additionally, the notion of “attention as a currency” will gain traction: networks and measurement firms are collaborating on standards to transact based on attentive seconds or viewability quality, aiming for broader adoption of attention-based KPIs in media deals adexchanger.comdentsu.com.
Crucially, human creative leadership and taste remain at the forefront in this AI-infused year. Top industry voices – from WPP’s CEO to Apple’s executives – are adamant that AI will not supplant human creativity and original thinking warc.com. AI is seen as a powerful creative assistant, but not a source of genuine brand storytelling genius. The role of creative directors is beginning to shift from creator to editor: guiding AI “co-pilots,” curating the best ideas from countless AI-generated variations, and infusing human insight, humor, and cultural nuance that algorithms lack. As Mark Zuckerberg himself clarified regarding Meta’s new AI ad tools: large brands working with agencies will “probably keep doing that” – AI will mainly serve those without creative support, churning out functional ads for small businesses theguardian.com. In short, the next year will be defined by rapid AI adoption balanced by a recommitment to human-led strategy, ethics, and creativity.
2-Year Outlook (2027): Deeper Automation and New Agency Models
By 2027, the initial AI growing pains give way to deeper integration across the ad industry. Generative AI and machine learning will be embedded in daily workflows for creative development, media buying, and consumer insights. We will see more routine tasks fully automated: media plans optimized by AI algorithms, basic ads produced in seconds, and audience targeting refined continuously via AI. Sir Martin Sorrell predicts a near-term revolution in media planning – major agency holding companies employing hundreds of thousands in media buying “will not” need that many people in three years’ time, as algorithms can manage a $650 billion digital media market more efficiently warc.com. Indeed by 2027, agencies are likely to have significantly leaner media departments, with headcount “drastically reduced” in planning and buying roles warc.com. This reflects the hard reality that AI replaces tasks, not entire jobs, in the short run – but enough tasks can be automated to reshape team structures. Notably, Forrester forecasts that the bulk of AI-driven job reductions at agencies will not hit immediately but will ramp up later in the decade emarketer.comemarketer.com, meaning 2027 is when the curve of impact steepens.
Agency models will visibly shift by this point. We can expect a consolidation wave: many small digital-only agencies may have merged into larger, multidisciplinary firms or reinvented themselves as tech/service hybrids resonate.com. The agency landscape in 2027 likely features “AI-first” agencies competing alongside traditional firms. These AI-first players (including in-house agency teams at big brands) leverage proprietary AI platforms to deliver faster and cheaper outputs, forcing incumbents to evolve or perish. We’re already seeing signs: nearly 91% of agencies are using or experimenting with generative AI as of 2024, and over half of agency decision-makers believe AI will have a transformative impact on their business models marketingdive.com. By 2027, agencies will have productized some of their offerings (e.g. offering clients AI-driven content engines or data platforms), moving further from hourly creative services to solution-based partnerships. At the same time, client–agency relationships will be tested: a global study indicates many brands will review agency contracts (+10% more reviews) due to AI, seeking partners who can navigate AI’s risks (IP, privacy) responsibly resonate.com. In response, agencies are positioning themselves as trusted advisors and integrators – not just making ads, but managing AI governance, brand safety, and ethical use on behalf of clients warc.com. The next two years might also bring new agency compensation models: for example, outcome-based bonuses tied to campaign performance (thanks to clearer attribution by AI), or subscription-like engagements where an “agency+AI platform” is always on for the client.
Consumer behavior and trust by 2027 will have adjusted to the AI-driven content landscape. On one hand, personalization will be extremely advanced – AI will enable real-time tailoring of ads to each viewer’s context and preferences, which can boost relevance and engagement. A senior ad exec in 2024 noted the opportunity to feed once-siloed data into AI models to get “much sharper” insights for briefs and targeting emarketer.com. By 2027, consumers will commonly encounter highly personalized brand messages that feel uncanny in relevance. This can improve response rates but also risks the “creepy” factor – trust will depend on brands using personalization transparently and valuing privacy. We anticipate stricter AI content guidelines and possibly regulation in place by 2027 (many jurisdictions will likely require disclosure of AI-generated ads and have rules to prevent manipulative deepfakes). Big advertisers will still be cautious to protect their brands: as one agency chief noted, major household-name brands in 2025 felt AI couldn’t yet produce “top-quality” ads without risk theguardian.com. By 2027, AI’s output quality will be better, but large brands will continue to demand human oversight and originality to avoid generic or off-brand content. Consumer attention, meanwhile, is more fragmented than ever – short video, social media, and interactive content dominate – so brands double down on influencer and creator partnerships to hold audience interest. In fact, ad spend on influencer/creator content is skyrocketing: from $184.9 billion in 2025 to a projected $376.6 billion by 2030 adweek.com, meaning by 2027 it will be well over $250B (far exceeding traditional TV ad spend). The creator economy’s rise indicates that authentic, human voices are a remedy to waning attention and trust – consumers often trust creators more than polished brand ads. Expect brands in 2027 to heavily integrate creators into campaigns and emphasize authenticity, even as AI automates the back-end production and optimization.
Emerging platforms and channels will gain steadier footing. Retail media will be a staple of media plans by 2027, though growth may moderate as the channel matures (forecasts see growth slowing to ~10% annually by 2025 and beyond) warc.com. Every major retailer, from grocery chains to e-commerce giants, will have a monetized ad network, and brands will treat these as essential for reaching shoppers. Metaverse and VR advertising in 2027 will either have coalesced around a few viable platforms or be recognized as over-hyped – likely the former in niche areas. For instance, gaming and virtual sports events might be mainstream enough that in-game or in-world ads (virtual billboards, branded virtual goods) are delivering real ROI, especially for younger demographics. However, a true Ready Player One-style metaverse as an “ultimate advertising medium” is unlikely yet; instead, marketers will treat AR/VR as one more digital channel – powerful for certain immersive experiences but not replacing web or mobile warc.com. AR in particular will be widely used in retail and OOH (out-of-home): by 2027 consumers may routinely use AR glasses or phone AR to see overlays (product info, promotions) in stores and on city streets, creating new inventory for advertisers. Voice and conversational interfaces will become more commercialized too. We anticipate that smart assistants (Alexa, Google Assistant, Siri and others) will start integrating sponsored results or brand recommendations in more natural ways. For example, when asking a voice assistant for a product or service, consumers might hear a brief sponsored suggestion (“You might like Brand X, which is on sale”). Though still a small slice of ad spend, voice marketing will grow as AI enables more natural dialogues – advertising may become more ambient and conversational by this time, embedded in interactions rather than explicit ads socialsamosa.com. Lastly, AI agents acting on behalf of consumers are likely emerging. By 2027, early adopters will use personal AI assistants for shopping (e.g. an AI that finds the best travel deal or auto-reorders household goods). This “marketing to machines” era begins to dawn as businesses realize they must format information for AI consumption – for instance, ensuring their product data and reviews are structured so an AI agent will pick their offering in a comparison searchenginejournal.comsearchenginejournal.com. Forward-thinking marketers by 2027 will be optimizing for algorithmic choice (appealing to recommendation engines and AI agents) as much as for human appeal.
In terms of metrics and business outcomes, the industry will be honing new standards. Attention metrics could approach a tipping point of adoption in 2-3 years: agencies and advertisers in 2027 might commonly include “attention reached” in reports, and a few large deals (especially in online video and CTV) may trade on guaranteed attention lengths adexchanger.comdentsu.com. Outcome-based agency compensation will become more widespread – for example, an agency might contract to develop a campaign at lower upfront cost in exchange for a percentage of sales lift or a bonus for exceeding KPIs. This aligns incentives in an AI-optimized world where efficiency is high but capturing consumer impact is the true goal. Also, with AI providing clearer attribution modeling, tying ad spend directly to business outcomes (sales, conversions, brand lift) becomes more feasible, encouraging such models. Another shift by 2027 could be the decline of third-party cookies and rise of privacy-preserving measurement, forcing advertisers to rely on mixed modeling and attention metrics instead of granular tracking – here AI will help by modeling performance with less personal data, and success metrics will shift toward aggregate results and trust-based frameworks (clean rooms, etc.). In agency business terms, growth may be challenging – Barclays predicts “lackluster growth ~2%” for major ad holding companies in the short term as they adjust to AI efficiencies warc.com. But those who adapt can turn the tide: AI-driven personalization might significantly improve campaign ROI, potentially increasing advertiser spend with those agencies who master the tools warc.com.
By 2027, the role of human creativity and leadership becomes even more crucial even as AI’s role expands. The industry is learning that AI excels at generating options and optimizing, but human vision is needed to set direction and break through the clutter. Many repetitive production roles (resizing ads, basic editing) will have been automated, but strategy and high-concept creative remain in human hands. A big ad agency CEO noted, “AI will disintermediate a large number of jobs,” especially in production, while “strategy, consumer insight, and conceptual roles” stay safe theguardian.com. Indeed, those conceptual creative directors and strategists now guide a hybrid human–AI workforce. The task of creative leaders by 2027 is often to ensure brand voice and taste across countless AI-generated executions – essentially, curation at scale. They also must inject the cultural relevance and emotional storytelling that prevent AI-generated content from feeling “glossy and slightly plasticky” (as one creative described pure AI work) theguardian.com. We may also see a new kind of creative professional emerge: the “creative AI editor” or “prompt strategist” who is adept at getting the best out of AI systems and weaving them into campaigns. Far from rendering creatives obsolete, the next two years will show that those who harness AI will flourish, while purely executional roles diminish. In short, by 2027 the advertising world will be operating with AI as an ever-present co-worker, and the industry will have made substantial structural adjustments to this reality.
3-Year Outlook (2028): Transformation Takes Hold
By 2028, the advertising industry will be fundamentally transformed in its operations. We will have passed the initial AI adoption phase and entered a period where automation is the default for many processes. Generative AI will be routinely developing and iterating ad creative for various formats (digital, audio, even simple video edits) with minimal human intervention on the first draft. AI-driven media buying will have largely supplanted manual trading – algorithms in demand-side platforms will optimize across channels in real time, something already in motion but near-universal by this time. The cumulative effect is a “smaller, yet more capable” agency workforce, as Forrester put it marketingdive.commarketingdive.com. In fact, Forrester predicts that by 2030 about 7.5% of ad agency jobs will be replaced by automation, with roughly one-third of all tasks impacted in some way marketingdive.com. By 2028, a significant portion of that 7.5% reduction will have occurred. Administrative and support roles are most reduced – clerical and administrative positions are expected to comprise ~28% of AI-driven job losses, and sales support roles ~22% marketingdive.commarketingdive.com. Conversely, the share of jobs in creative and strategy is actually forecast to grow as a percentage of agency staff by 2028, because those roles are less automatable and in higher demand for their oversight and originality marketingdive.commarketingdive.com. In essence, agencies in 2028 are leaner in execution roles but richer in strategic talent. We can envision a typical creative agency having fewer junior designers or media buyers on staff, but more AI tool specialists, data analysts, and high-level creative directors managing AI outputs.
Agency models and structures by 2028 will have settled into new patterns. The holding company model may evolve into something resembling tech conglomerates – WPP, Publicis, Omnicom and others could own AI platforms and proprietary data systems that they license to clients, beyond just selling human creative services. Agencies will likely forge deeper partnerships with tech firms: the past years have seen WPP team with Nvidia to build a content engine, IPG partner with IBM’s Watsonx, and others, signaling that agencies are investing in tech infrastructure digiday.comdigiday.com. By 2028, those investments should be paying off as core capabilities. We might also see non-traditional players in advertising – consulting firms (Accenture, Deloitte) or even software companies – command a larger share of marketing budgets, essentially acting as “AI agencies” that compete with legacy ad agencies. In response, traditional agencies could continue merging or reorganizing for scale and breadth. Expect more “full-service” offerings that include management consulting, experience design, and commerce integration, reflecting that marketing now spans tech, data, and creative. On the flip side, some nimble independent agencies will carve out niches as boutique creative curators, emphasizing human craft and bespoke ideas in a sea of AI-generated content. By 2028 it’s likely that the industry narrative has shifted from “AI versus agencies” to “AI-empowered agencies versus those that failed to adapt” – the survivors having reinvented their models successfully. Importantly, in-house agencies at brands could be thriving, especially for always-on content needs. If a brand’s internal team has AI tools generating social media posts, dynamic banner variants, etc., the role of external agencies may focus on high-level campaigns, innovation, and strategy consulting. The client–agency relationship might resemble a partnership where agencies provide the AI platforms and strategic guidance, while clients handle day-to-day content execution with those tools.
Consumer trust, attention, and behavior in 2028 will reflect a decade of digital acceleration. By now, Gen Z and even Gen Alpha are key consumer cohorts with very different media habits – heavily mobile, video-centric, and creator-influenced. Traditional interruptive advertising will be even less effective, pushing brands toward content that is either truly entertaining or seamlessly native to platforms. Consumers, having been exposed to many AI-generated interactions, may become wary of content that feels too automated. Authenticity as a value will be at a premium. We might see a counter-trend of brands emphasizing “hand-crafted” creative or human stories to stand out. At the same time, many consumers will appreciate the convenience of AI personalization – e.g. they receive offers precisely when needed, or see product ads tailored to their unique tastes. Trust will likely hinge on transparency: brands that are open about how they use AI (and protect data) will earn loyalty, whereas any scandal of AI misuse (say, deepfake misuse or AI bias causing offense) could spark quick backlash. Regulators will probably have instituted frameworks by this time – for example, requiring a symbol or disclaimer on AI-generated commercials, much like “#ad” for sponsorships. Another behavioral change by 2028 could be how consumers make purchase decisions: voice and AI assistants might handle a chunk of discovery and ordering. Picture a busy professional instructing their AI assistant to “plan my meals and order groceries” – the AI then decides which brands to buy. In such scenarios, brand loyalty may shift to algorithm loyalty: getting your brand recommended by the AI (through strong reviews, SEO, or partnerships) is crucial. This again underscores that by 2028, marketers are not just vying for human attention, but also the attention of AI agents acting as gatekeepers searchenginejournal.comsearchenginejournal.com.
Emerging channels in 2028 will either have matured or fallen by the wayside. AR (Augmented Reality) stands a good chance of mainstream adoption by this time – perhaps through widely available AR glasses or ubiquitous mobile AR experiences. If so, advertising will tap AR heavily: virtual try-ons, location-based offers (virtual coupons visible in AR when you pass a store), interactive AR product placements in real-world settings, etc. The AR advertising market, which was forecasted to reach ~$8.8B by 2025 patentpc.com, could be several times that by 2028 if consumer AR usage grows. VR and the metaverse will likely have found their key use cases. We might not have a single “metaverse” that everyone inhabits, but platforms like gaming worlds, virtual concert venues, and social VR spaces could have steady audiences. Advertisers targeting youth and tech-savvy segments will incorporate these channels – e.g. sponsoring virtual events, launching limited-edition virtual products (as seen in early metaverse marketing trials). Retail media networks by 2028 might evolve into broader “commerce media”, where retail data is used to target consumers even outside of retailer sites (something already beginning). For instance, a brand might use Walmart’s shopper data to inform targeting on streaming TV ads – creating a closed-loop system linking ad exposure to in-store sales. Retail media spend will be a highly significant slice of digital spend globally, likely continuing to outpace linear TV comfortably. Connected TV (CTV) and streaming ads will also be a major arena by 2028 (worth noting even by 2025 TV and streaming combined were ~$155B globally adweek.com, and growing). We’ll see AI-curated TV ads – versions optimized per viewer based on data, and perhaps real-time insertions that match the context of what you’re watching. Lastly, AI agents will be more prevalent. By 2028, perhaps a notable share of affluent or tech-oriented consumers let AI bots pre-screen ads or offers for them. We might witness the first marketing strategies aimed explicitly at AI agents: for example, travel brands providing APIs so AI trip planners retrieve their pricing and inventory directly (bypassing traditional ads). Machine-to-machine marketing could emerge in niches like travel, finance, and consumer tech, where algorithms negotiate or select the best deals searchenginejournal.com. This could start to disrupt conventional advertising models – if agents skip over sponsored links or banners entirely, new methods of influence (like ensuring one’s product information is the most AI-friendly) become vital.
With regard to metrics and business models in 2028, measurement should be far more outcome-focused. Thanks to AI’s analytical power, multi-touch attribution (or whatever replaces it in a post-cookie world) will be highly advanced, giving marketers near-real-time read on which spending drives sales or lifts brand metrics. Thus, more campaigns will be judged on business outcomes (sales, lifetime value, brand equity scores) rather than proxies (clicks, impressions). We might see contracts where agencies get compensated on a sliding scale: for instance, a base fee plus bonuses if certain sales targets are exceeded – effectively making agencies stakeholders in client growth. The idea of “guaranteed outcomes” could even arise, where an agency or ad platform guarantees a certain number of conversions or a return on ad spend, leveraging AI to minimize risk. Additionally, by 2028, attention metrics could be standardized enough to be a common currency. The industry has been actively researching attention (Dentsu’s Attention Economy studies, Lumen’s eye-tracking data, etc.) and by this time they might have agreed on benchmarks (e.g. what constitutes one attentive impression). Some media buying might routinely include cost-per-attention-second deals. On the creative side, metrics that gauge emotional resonance or brand lift might be collected via AI in real-time (e.g. AI analyzing social sentiment or even biometric feedback to ads), feeding back into creative optimization. All of this supports a shift to outcome-based business models and continuous optimization cycles rather than set-piece quarterly campaigns. We should also mention that the overall ad market size will continue growing healthily through 2028. Forecasts show global ad spending crossing $1 trillion in the mid-2020s and heading towards $1.44 trillion by 2030 linkedin.com – by 2028 it could be around the $1.2–1.3 trillion range. So, despite efficiency gains from AI, more businesses (especially small ones) will join the advertising ecosystem (remember Goldman Sachs’ point: AI lowers barriers and may expand the number of advertisers worldwide who spend on ads warc.com). The pie is getting bigger even as it’s sliced differently.
By 2028, the role of creative leadership and human touch in advertising is clearly that of navigator and differentiator. AI can produce competent content at scale, so the differentiating factor becomes human-inspired creativity – the truly memorable idea or the culturally incisive angle that makes an ad campaign iconic. Earlier skeptics claimed AI could never produce something as original as Cadbury’s famous “gorilla playing drums” adtheguardian.com; as AI improves, it might get closer, but the spark of devising such a left-field concept will still lie with human creatives (potentially using AI as a collaborator). In agencies, creative leaders will spend less time on mundane briefing and more on orchestrating multi-faceted campaigns that deploy AI, influencers, experiential stunts, and more. They also become guardians of brand integrity and ethics. With AI generating content, someone must ensure it aligns with brand values and doesn't introduce bias or legal issues – tasks that marketing VPs have flagged as “paramount” for agency partners (privacy, content credentials, avoiding bias) warc.com. So creative leadership expands to include AI ethics oversight in addition to idea generation. We may also see a renewed appreciation for human art and craft. In a world where AI can churn out endless variations, a single piece of content clearly crafted by a talented human (for example, a poignant copy line or an illustration with intentional imperfections) can become even more powerful. Human taste – the intuitive sense of what will emotionally connect – guides the final selection from AI options and shapes the narrative that machines alone couldn’t build. Thus, by 2028 human creatives serve as editors-in-chief and cultural curators, ensuring campaigns have heart and coherence. Notably, far from a “death of creativity,” the period of 2025–2028 will be seen as a creative evolution, where human creativity is amplified by AI’s capabilities. The agencies that thrive will be those who meld tech and talent into bold ideas that resonate in an otherwise automated ad landscape.
5-Year Outlook (2030): A New Paradigm Emerges
In 2030, the advertising industry stands on new ground defined by AI dominance, new channels, and evolved consumer expectations. By this point, AI is not just an add-on in the process; it permeates every facet of advertising. The industry has largely adapted – what seemed disruptive in 2025 is now business-as-usual. Productivity is at an all-time high: McKinsey estimated generative AI could raise global productivity significantly by 2030 mckinsey.com, and in advertising we see that manifest as faster turnarounds and highly efficient campaigns. Crucially, however, this hasn’t eliminated the human element – it has refocused it. The workforce composition in 2030 reflects Forrester’s forecast: roughly 7–8% fewer jobs in agencies due to automation, with around 33,000 roles displaced in the U.S. alone marketingdive.com. Many of those roles were in areas like admin, traffic, basic production, and even parts of market research that AI now handles marketingdive.com. But the roles that remain (and new ones that were created) center on strategy, big-idea creative, AI system management, and data analytics. In fact, Forrester projected that fields requiring originality would see minimal job losses and even growth – by 2030 the share of agency jobs in creative and strategy, as well as data science and software, has grown, while clerical and labor-intensive roles shrank marketingdive.commarketingdive.com. The result is that agencies are smaller, more agile, and more specialized.
Agency models in 2030 are markedly different from a decade prior. The classic large-agency model may have splintered or transformed. We likely have a mix of AI-powered agency platforms and consultant-like creative boutiques. Some of the world’s leading “agencies” might be those that have built proprietary AI platforms which clients subscribe to – imagine an AI platform that can create, place, and optimize ads autonomously (Meta’s 2026 vision essentially realized) theguardian.comtheguardian.com. In parallel, clients with in-house teams use these tools for routine work, calling on external experts for high-level brand strategy, immersive experiences, and breakthrough creative. It’s quite plausible that by 2030, a number of brands (especially large ones) function almost like their own mini-agencies, with AI enabling internal teams to handle media buying and content creation that once required outsourcing. Meanwhile, holding companies that survived will have become “solution providers” rather than just agencies – offering end-to-end marketing technology stacks, AI tools, consulting, and creative execution as a package. Notably, the trend of outcome-based relationships will have matured: many client–agency deals might be structured with performance incentives or even joint ventures (e.g. an agency takes a stake in a brand’s success, aligning long-term interests). The year 2030 could also see agent-based marketing models coming to fruition. By agent-based, we refer to autonomous AI agents managing segments of marketing activity. For instance, a consumer brand might deploy dozens of specialized AI agents – one monitors trends and briefs creative AI on new content, another dynamically allocates budget across channels based on performance, another handles one-to-one personalized messaging with customers. These agents collaborate with human managers orchestrating them. This is a shift toward an “autonomous marketing system”, and agencies may offer such systems as a service. Essentially, by 2030 the boundary between agencies, tech platforms, and in-house marketing is blurred; all are part of a connected ecosystem centered on AI capabilities.
Consumer trust and behavior in 2030 are complex. On one side, consumers have grown accustomed to hyper-personalization and even rely on it – shopping, media consumption, and entertainment are all curated by AI to individual tastes. Advertising, therefore, often feels less like “ads” and more like relevant content delivered at the right moment (the long-promised right message, right person, right time at near 100% accuracy). However, the trust in content authenticity is a known issue. Synthetic media (AI-generated voices, faces, etc.) is now extremely realistic, so regulators worldwide have instituted laws to combat deceptive deepfakes in ads and political content. Brands are very careful: any misuse of AI that deceives or violates privacy could destroy consumer trust. By 2030, brands emphasize ethical AI usage in their values, much like data privacy was a major concern in the late 2010s. Consumers likely gravitate to brands they perceive as transparent and responsible with AI – for example, maybe they publish that “All our AI-generated customer service avatars are clearly labeled and audited for bias.” Also, in a world awash with AI content, many consumers deliberately seek out human-created or human-endorsed content for authenticity. This drives the continuing boom of influencer marketing: indeed, the forecast of $376 billion spent on influencer/creator advertising in 2030 adweek.comadweek.com underscores that brands invest where genuine human connection and creativity shine (even if behind the scenes AI helps target and produce those collaborations).
Global influencer/creator advertising spend has more than doubled from 2025 to a projected $376.6 billion in 2030, reflecting advertisers’ heavy investment in human-driven content amid an AI-saturated landscape adweek.com.
By 2030, consumer attention is both extremely scarce and highly valued. People are inundated with content across AR displays, mobile devices, smart home devices, and more. Attention has fully become a currency in advertising deals – it’s not inconceivable that consumers themselves are rewarded for their attention in some models (e.g. loyalty points or micropayments for opting into ad experiences, a concept trialed via blockchain platforms in the late 2010s). In mainstream advertising, metrics like attention minutes or engagement depth will likely be standard in media planning, replacing older vanity metrics. The fight for attention also means creativity in 2030 is daring and boundary-pushing: campaigns will need to be truly entertaining (blending advertising and content, as in branded entertainment or interactive storytelling) or functionally valuable (ads that are utility-based, like offering a service).
Emerging platforms in 2030 are now, in many cases, established platforms. AR advertising could be ubiquitous if AR wearables achieved broad adoption in the late 2020s. We might see a world where, walking down the street, one person’s AR glasses show them a personalized Starbucks offer on a virtual billboard, while another sees a Nike interactive hologram – all auctioned programmatically in real time. This kind of “personalized OOH” (out-of-home) advertising may become reality by 2030 in tech-forward cities. VR/metaverse as a concept will have either solidified or fizzled; assuming it solidified, by 2030 millions of people spend portions of their day in virtual spaces (for work, play, socializing). Those spaces are rich with advertising opportunities – product placements in virtual concerts, virtual try-before-you-buy car test drives, etc. Retail media networks by 2030 have likely expanded beyond retail: other industries with rich consumer data (think telecoms, car manufacturers, entertainment providers) may operate their own ad networks or data-sharing for targeting. The principle of “first-party data-powered advertising” is universal. Additionally, connected devices and IoT (Internet of Things) open new channels: smart fridge screens, in-car infotainment systems, and other connected appliances could carry contextually relevant ads (e.g. your car suggests a nearby restaurant with an offer while you drive). Importantly, AI agents are now mainstream consumer tools. A large segment of consumers delegate tasks to AI assistants – from shopping to media filtering. This changes advertising profoundly: marketing to an AI agent requires ensuring your brand information is what the agent considers optimal for its user. Some researchers call this world “API-driven marketing”, where providing machine-readable data (like up-to-date price, stock, reviews via an API) becomes as important as catchy slogans searchenginejournal.com. If someone’s AI agent is picking a hotel, the hotel that wins might not be the one with the splashiest ad, but the one whose data the agent trusts (good price, good ratings, relevant location). By 2030, forward-looking companies will be engaged in algorithmic marketing, possibly even negotiating placements with AI systems (one could imagine future SEO and programmatic advertising blending – bidding to be the top recommendation by an AI assistant). In essence, the “emerging” channels of a decade ago (AR, voice, agents, retail media) have matured into an ambient, AI-mediated media environment where advertising is more personalized, more interactive, but also less visible in traditional ways.
Given these shifts, campaign metrics and business models by 2030 have solidified around outcomes and attention. Traditional media metrics (GRPs, basic impressions) are likely obsolete or supplemented by quality measures. Many advertisers by this time might pay on a cost-per-attention basis widely; for example, an ad deal might guarantee 100,000 hours of active viewing of an ad (using eye-tracking data from AR/VR devices or phone sensors to verify attention). Also, outcome-based payments could become the norm: think of it as “advertising-as-a-service” – an e-commerce brand could pay an ad partner X dollars per actual sale generated, blurring the line between advertising and sales commission. In agency remuneration, almost all contracts might include a performance component by now. Additionally, new currencies could be in play: if attention is the new gold, agencies and media sellers trade on it; if data privacy laws severely limit targeting, then context and content quality become the drivers of performance, valued accordingly. It’s also plausible that by 2030 some marketplaces for attention exist, where inventory is sold based on user engagement levels rather than user data profiles. The business models for media owners may shift to maximize engagement (already seen in social platforms optimizing for time spent – by 2030, they directly monetize that time via attention trading).
Finally, in 2030, the role of creative leadership, curation, and human taste is paramount in an AI-dominated world. This might seem counterintuitive – if AI dominates, why are humans so critical? The answer lies in differentiation and meaning. When AI can generate a thousand versions of an ad, what matters is which version speaks to the human soul – and discerning that requires human judgment. Creative leaders in 2030 act as chief curators, sifting through AI outputs and selecting the narrative that best builds the brand’s story. They are also the visionaries setting the overarching campaign direction that AI then executes on. Cannes Lions in the late 2020s likely honored campaigns where AI was used, but the idea that won the Grand Prix was deeply human at its core (we already saw hints: in 2024, only 12% of award entries used AI and often the ones that did combined tech with a strong human insight emarketer.com). By 2030, perhaps AI is a given in most entries, so the differentiator is the human insight behind how AI was applied. Moreover, human creatives ensure that brand communications maintain a human touch and ethical center. AI might propose strategies purely by data – like exploiting a psychological manipulation to drive clicks – but human leaders will (hopefully) apply ethics and taste, saying “We don’t approach consumers that way, we respect their intelligence.” Human taste also means understanding cultural context: knowing when an AI-generated message might inadvertently offend or fall flat due to nuances only a culturally aware person would catch. This is why Apple’s 2025 stance – that AI will never fully replace human creativity warc.com – resonates: in 2030 we see that humans are the cultural compass and creative conscience of advertising. The industry likely has roles like Chief AI Creative Officer or similar, indicating someone who bridges creative ideals with AI capabilities. This person’s job is to constantly elevate the machine’s work to true creative excellence.
In summary, by 2030 advertising has transformed into a tech-enabled, highly personalized, and outcome-focused industry, yet it’s one where bold human creativity and leadership matter more than ever to cut through algorithmic noise. Agencies and brands that have embraced AI are thriving – indeed, analysts who in 2025 predicted agencies would “adapt, survive and ultimately thrive” have been proven right warc.com. The winners are those who married technology with human imagination. Campaigns are measured in business results and attention, not just impressions. Media and creative are orchestrated across a spectrum of real and virtual worlds. And consumers – whether human or AI assistants – are engaged one-to-one at scale. Advertising in 2030 is a different beast, but it continues to fulfill its core purpose: connecting brands with consumers in meaningful ways, now through the powerful new mediums of the AI age.
10-Year Outlook (2035): Vision of the AI-Driven Creative Future
A decade from now, by 2035, we enter a truly augmented era of advertising. The year 2035’s advertising landscape might look almost sci-fi to a 2025 observer. AI and intelligent automation will be so deeply ingrained that the distinction between “digital” and “traditional” advertising is irrelevant – virtually all advertising is digital, data-driven, and AI-optimized by default. Autonomous AI agents could handle entire campaign cycles with minimal human input: imagine an AI that can strategize (based on business goals), generate creative assets, deploy media, and continuously optimize – this is the logical end-point of today’s early AI tools. By 2035, such systems may be in widespread use, especially for performance marketing campaigns. Agent-based agencies might operate swarms of AI agents, each specialized (one for trend scanning, one for creative generation in video, one for media bid optimization, etc.), overseen by a small human team.
The agency of 2035 could thus be a very different kind of organization. It may resemble a high-tech startup or lab, with a core leadership of strategists and creatives, supported by AI developers and ethicists, while the execution is largely automated. Traditional big agencies, if they haven’t evolved, might no longer be relevant; some will have transformed into these tech-driven entities or been acquired by tech firms. We can also imagine direct brand–AI platform relationships replacing some agency work: for example, a brand subscribes to a “Creative AI Cloud” service to get all its ads done, and only calls in human experts for special projects. In-housing vs outsourcing may become a moot point when AIs can be rented on demand – every brand, big or small, can access world-class creative and media AI. This democratization means the playing field is leveled in some ways (small businesses can have sophisticated marketing via AI), but in other ways big brands still leverage scale – perhaps by owning unique data or proprietary AI models.
In 2035, consumer trust and attention will likely have gone through cycles of challenge and restoration. By then, society will have grappled with AI’s implications. We might have global treaties on AI ethics, or industry standards as fundamental as the four Ps once were. Consumers could be much more savvy about how AI is used on them; they may use personal “AI firewalls” to block unwanted persuasion or filter ads aggressively. This suggests advertisers might pivot to more consensual marketing – opt-in experiences that consumers choose because they offer real value. Loyalty programs, brand communities, and experiential marketing (possibly in VR or AR) might be key to gaining voluntary attention. Attention will be exceedingly precious in 2035: human cognitive capacity hasn’t increased, but content has exploded, so humans rely on their own AI to pre-sort what they engage with. Gaining human attention might often require going through an AI intermediary (the user’s personal assistant). Therefore, to succeed, brands almost have to “market” to two audiences: the human and their AI gatekeeper. We will likely see marketing strategies targeting algorithms as much as people (this notion is hinted at in research about AI agents bypassing ads and needing new tactics to engage them searchenginejournal.comsearchenginejournal.com). The economics of attention could even shift such that consumers literally charge for their attention – perhaps mediated by micropayments or data exchanges. In such scenarios, an ad might come with a tiny payout or benefit to the consumer for the time spent – flipping the script from consumers paying attention to advertisers paying consumers for the privilege.
Emerging channels by 2035 will include some things that today are barely imaginable. If quantum computing or brain-computer interfaces progressed, there might even be experimental forms of neural advertising (direct brain stimulation of some sort) – though likely quite regulated or niche. More concretely, immersive environments will be common: AR should be as everyday as smartphones were in the 2020s, meaning a persistent digital layer on the physical world filled with branded content and ad messages (ideally user-controlled to avoid dystopia). Virtual influencers powered by AI might be top “celebrity” endorsers – with complete lifelike presence, these AI personas could interact with millions of consumers at once, each conversation tailored. For example, a consumer in 2035 might have a conversation with an AI avatar of a brand’s spokesperson to learn about a product, effectively a personalized infomercial that feels like a chat. Retail could be largely smart and automated – smart home devices automatically order things, subscription models prevail – reducing the need for some advertising, while opening new avenues for influencing those automated decisions (e.g. partnerships between brands and smart home platforms). Metaverse concepts may blend into the AR layer – instead of distinct VR worlds, perhaps the metaverse is an omnipresent mesh of digital and real. Advertising in such a context is more about placing experiences and utilities than making ads. A brand could drop an interactive game or useful app into the metaverse that subtly promotes its product. Basically, by 2035, advertising might be almost indistinguishable from content, utility, or experience – the most effective ads won’t feel like ads at all.
Metrics and business models in 2035 will be entirely outcome-centric and possibly even guaranteed outputs. With advanced AI and data, a marketer might expect near certainty of what ROI they will get for a given spend. Thus, media buying could evolve into an automated auction where you pay exactly for the result (e.g. a sale or a verified lead) and AI platforms handle the rest. This is somewhat analogous to performance marketing today but on a whole new level of efficiency and scale. Agencies or platforms could offer “growth as a service”, where a brand says “I need +10% sales this quarter,” and the provider (using AI) figures out the optimal advertising and achieves it for a predetermined fee. Real-time attribution and closed-loop measurement will make marketing almost like a real-time trading market. Perhaps new financial instruments might emerge around advertising outcomes (for instance, advertisers or agencies hedging or trading future attention in a marketplace). While speculative, it underscores the idea that by 2035 advertising is less of an art of faith and more of a science of guaranteed outcomes – if you have the right data and AI.
Yet, amid this highly automated, transactional environment, creative leadership and human insight will be the soul of advertising. The future world could feel impersonal or saturated with machine-made content, so brands that inject human warmth, storytelling, and values will strongly differentiate. Think of it this way: in 2035 AI will be table stakes – everyone will have it, so saying your ads are AI-optimized won’t be a selling point. The real competitive edge will be creative ideas and brand meaning. Human creatives (and the agencies who employ them) will act as the cultural architects of brands. They will be curating not just content but the entire brand experience across an AI-mediated customer journey. For instance, perhaps a luxury brand in 2035 will deliberately use less AI in certain touchpoints (like handcrafted packaging or live human concierge chats) as a luxury signifier. Creative directors might intentionally add artistic quirks or emotional narratives that an AI wouldn’t conventionally produce, to create distinction. Essentially, human creativity becomes a form of artistry again – valued for uniqueness and emotional resonance in contrast to the mass-produced perfection of AI content. As one trendsetter put it, “originality is the most significant factor that lowers a job’s automation potential” marketingdive.commarketingdive.com. That principle will prove true at the macro level: originality and genuine human connection will be what makes one brand’s marketing successful over another’s when both have equal access to AI tools.
In 2035, we can envision Cannes Lions (or its future equivalent) celebrating work that was a triumph of human creative vision, executed flawlessly by human–AI collaboration. Maybe an AI-generated film won a Grand Prix – but it was the human creative who conceived the story and trained the AI. Or a campaign that involved no paid media at all but captured global attention through a cultural movement sparked by a brand – a feat of understanding human culture, something algorithms struggle to initiate. The phrase “technology and humanity working in harmony” might describe the best advertising of 2035.
To conclude this 10-year vision: the advertising industry in 2035 is unrecognizably advanced yet fundamentally aligned with timeless principles. Technology (AI, AR/VR, agents) will have revolutionized the mechanics of how we create and deliver messages. Agency models will have reinvented around tech and results. Consumers will interact with brands in seamless digital/physical blended realities. But at its heart, successful advertising will still be about telling a compelling story, building trust, and engaging attention – only now, those stories are informed by data, delivered through immersive tech, and perhaps targeted as much to algorithms as to people. The world of 2035 advertising is one where bold imagination guided by human values steers the limitless capabilities of AI. Brands that embrace this – using AI not as a crutch but as a creative amplifier – will forge the strongest consumer connections. The journey from now to then will be challenging, but as we’ve seen, the industry is already on its way: adapting, experimenting, and reasserting the importance of human creativity even as the machines rise. The future of advertising promises to be a fusion of high-tech and high-creativity – and it’s a future already coming into view today.
Creatives, here's what you can do right now
Stop dabbling and start mastering generative AI today. Make it a daily ritual. Explore new AI tools aggressively, including agent creators, Vibe coding, cutting-edge image generation platforms, and AI video apps. Follow excited YouTubers like Greg Isenberg (https://www.youtube.com/@gregisenberg), dive into content like Two Minute Papers (https://www.youtube.com/@TwoMinutePapers), and subscribe to AI newsletters like Superhuman (https://superhuman.ai). Become the curator, not just the creator. And if you don’t like (or even if you do like) these recommendations, keep moving, find those you look forward to learning from. If you’re not drawn to their ideas don’t follow them.
Redefine your role or lose it. AI handles production now; your value is in strategy and storytelling. Deep-dive into prompt engineering through resources like Learn Prompting (https://learnprompting.org) and Prompt Hero (https://prompthero.com). Master the orchestration of AI workflows and regularly refresh your toolkit via cutting-edge updates on Product Hunt’s AI section (https://www.producthunt.com/topics/artificial-intelligence) and Vibe coding platforms like Sonic Pi (https://sonic-pi.net).
Curate or evaporate. Build serious skills as AI editors and prompt strategists. Intensively use innovative AI editing tools like RunwayML (https://runwayml.com), Descript (https://www.descript.com), and explore experimental platforms like ElevenLabs (https://elevenlabs.io). Stay at the forefront by tracking developments on Hugging Face (https://huggingface.co). Your intuition is your greatest asset. Trust it or become obsolete.
Take charge of the AI tool orchestra as Chief Curators and AI ethicists. Stay ahead by engaging daily with tech such as Stability AI (https://stability.ai), Manus (https://manus.im/app), and Synthesia (https://www.synthesia.io). Join AI communities like AI Artists on Discord (https://discord.gg/aiart). Mentor juniors, uphold rigorous ethical standards, and fiercely guard your brand’s humanity.
In an AI-dominated world, your humanity is your advantage.
The future won’t be won by speed, scale, or sameness. AI has that covered. What it can’t replicate, yet, is contradiction, vulnerability, taste, doubt, and the ability to reframe the question entirely. That’s your edge.
To stay irreplaceably human, go beyond tutorials and prompt hacks. Learn from systems thinkers, edge walkers, deep generalists, and creative dissenters.
Here are 20 people and platforms who will challenge how you see creativity, technology, and yourself:
Creative Systems Thinkers
Brian Eno – Artist, composer, inventor of “oblique strategies.” The king of generative thinking. https://longnow.org/people/eno
Bret Victor – Designs interfaces for thinking. “Inventing on Principle” is a must-watch. https://worrydream.com
James Bridle – Technologist, critic, and artist behind “New Dark Age” and “Ways of Being.” https://jamesbridle.com
Neri Oxman – MIT designer blending biology, art, and computation to rethink material life. https://www.nerioxman.com
John Maeda – Computational designer bridging tech and emotion. Now at Everbridge, formerly MIT Media Lab. https://johnmaeda.com
AI Ethicists and Critics
Tristan Harris – Co-founder of Center for Humane Tech. Former Google design ethicist. https://www.humanetech.com
Timnit Gebru – Co-leader of the resistance inside AI labs. Founder of DAIR Institute. https://www.dair-institute.org
Eliezer Yudkowsky – OG AI alignment theorist. Big on existential risk and misalignment consequences. https://www.lesswrong.com/users/eliezer_yudkowsky
Cory Doctorow – Author and activist fighting against surveillance capitalism and digital monopolies. https://pluralistic.net
Cross-Disciplinary Creative Minds
Debbie Millman – Design Matters host. Interviews the minds behind culture’s most potent ideas. https://www.designmattersmedia.com
Rory Sutherland – Ogilvy’s behavioral economics wizard. Subversive, hilarious, oddly profound. https://www.linkedin.com/in/rorysutherland/
Anne Carson – Poet and classicist who breaks form while digging deep into myth and memory. https://www.poetryfoundation.org/poets/anne-carson
Jenny Odell – Artist and author of “How to Do Nothing.” Subversive attention reclaimer. https://www.jennyodell.com
Robin Sloan – Writer and coder. Bridging literary voice with algorithmic possibility. https://www.robinsloan.com
Futurists, Philosophers, and Dissenters
Douglas Rushkoff – Media theorist behind “Team Human.” Deep dives into tech’s cultural effects. https://rushkoff.com
Nassim Nicholas Taleb – Not for the fragile. Author of “Antifragile,” “The Black Swan,” and “Skin in the Game.” https://www.fooledbyrandomness.com
Kate Crawford – AI researcher and co-author of “Atlas of AI.” Grounded and necessary critique. https://www.katecrawford.net
McKenzie Wark – Trans theorist, cultural critic, and explorer of post-capitalist aesthetics. https://www.versobooks.com/authors/1528-mckenzie-wark
Rebecca Solnit – Historian of hope, climate grief, and radical imagination. Essential reading. https://rebeccasolnit.net
Platforms Worth Tapping
Futurepedia – Largest AI tools directory. Less hype, more exploration. https://www.futurepedia.io
The AI Alignment Podcast – Where real alignment thinkers share what keeps them up at night. https://futureoflife.org/podcast
Edge.org (archive) – Where brilliant minds answered “big questions.” Still gold. https://www.edge.org
Are.na – Creative research and mind-mapping in public. Thoughtfully weird. https://www.are.na
The Long Now Foundation – Thinking in decades and centuries. Sanity in the age of next quarter. https://longnow.org
Your job now: Don’t just use AI. Transcend it. Inject creative friction. Leave fingerprints. Interrupt the pattern. Make things that don’t just survive the machine, but break it. Because the future doesn't need more efficiency. It needs more soul.
Of course, all of this might be gloriously meaningless
If the Singularity actually happens when AI surpasses human intelligence, everything above is just a warm-up. Sergey Brin thinks it’s coming soon. Ray Kurzweil puts it at 2045. Elon Musk says we'll end up house cats or extinct.
But until then, keep making ads for people, not machines. That's your last line of defense.
Try not to spill the Soylent on your casual-scruffy Billy Reid blazer.
- Ray
Sources:
WARC, “Ad agencies will grow slowly but ‘survive’ AI, predict analysts”, Jul. 2025warc.comwarc.com
WARC, “How AI will force agency models to change”, Mar. 2024warc.comwarc.com
The Guardian, “The ‘death of creativity’? AI job fears stalk advertising industry”, Jun. 2025theguardian.comtheguardian.com
The Guardian, AI will disintermediate jobs (agency CEO quote)theguardian.com
The Guardian, Creative chief on AI content qualitytheguardian.com
eMarketer (Insider Intelligence), “11,000 ad agency jobs will be replaced with AI by 2030” (Forrester data), Jun. 2023emarketer.comemarketer.com
Marketing Dive, “Agencies to replace 7.5% of jobs with AI by 2030” (Forrester forecast), Jun. 2023marketingdive.commarketingdive.com
Adweek, “3 Big Ad Spend Predictions for 2025” (Magna, WPP forecasts), Jun. 2025adweek.comadweek.com
eMarketer, “Creators and AI shape the conversation at Cannes Lions 2024”, Jun. 2024emarketer.comemarketer.com
Resonate (via Forrester), “2024 Agency Predictions”, Dec. 2023resonate.comresonate.com
Digiday, “AI at Cannes Lions 2024 – key takeaways”, Jun. 2024digiday.comdigiday.com
SearchEngineJournal, “Marketing to AI agents is the future – research”, Apr. 2025searchenginejournal.comsearchenginejournal.com
MarketingWeek, “Attention is advertising’s currency”, Oct. 2023adexchanger.com (discussing attention metrics)
Adexchanger, “Attention metrics as currency for ad deals”, Feb. 2024adexchanger.com
WARC, “2025 a pivotal year for agencies and sustainability”, Jan. 2025warc.com (trends overview)
Deloitte, “Future of Advertising: Four Scenarios”, 2020 (scenario analysis)
McKinsey, “Generative AI and the future of work”, 2023mckinsey.com (impact on productivity)
Gartner (via Marketing AI Institute), “7 Disruptive Technologies in Sales (including AR/VR)”, 2024marketingaiinstitute.com