By Nigar Salamzada

Artificial intelligence, once futuristic, is now a routine part of the marketing toolkit, alongside web analytics, CRM systems, and targeted advertising. The question today isn’t whether to use AI, but how to integrate it effectively.

AI is becoming part of national digital policy

In Azerbaijan, AI adoption in marketing is unfolding alongside a broader digital transformation agenda. In 2025, the country approved a national AI development strategy for 2025–2028. Similar national AI strategies have also been adopted in the UK , UAE, Singapore, South Korea, and EU nations, which typically combine infrastructure, talent training, business support, and integration into government services.

At Azerbaijan State Oil and Industry University, on the grounds of the High Technologies Park, an AI research institute is under construction, signaling real investment in infrastructure, talent, and research rather than just marketing buzz. These efforts are showing results: according to Oxford Insights’ Government AI Readiness Index 2025, Azerbaijan rose from 111th to around 70th place globally in a single year, one of the fastest growth rates worldwide.

This fits into Azerbaijan’s broader push toward digital transformation, including e-government services and a growing tech startup ecosystem. Globally, the stakes are enormous, with PwC estimating that AI could add up to $15.7 trillion to the world economy by 2030.

Locally, AI is increasingly used to create the first draft of marketing materials, helping marketers identify audiences and generate initial versions of text, images, and video before refining them manually. Marketing and SMM courses in Azerbaijan now include AI in their curricula, reflecting a view of AI as a tool that simplifies work rather than a threat. Adoption is happening both top-down through company and government decisions and bottom-up, since according to Microsoft’s Work Trend Index, many employees adopt AI tools on their own before employers formally roll them out.

One caveat worth noting is that AI-generated Azerbaijani voiceovers still sound noticeably accented, since most large language models are trained predominantly on English data. This means video ads and social clips still rely heavily on professional human narrators, though it also creates opportunity for local developers building AI attuned to Azerbaijani language and culture.

Who’s Already Using AI?

Concrete examples remain limited but growing. One major bank uses AI to analyze customer inquiries and personalize customer service. While this is more about customer experience than marketing in the narrow sense, it is often the first step toward broader AI adoption. One telecom operator built an entire campaign around AI access, offering subscribers free monthly data for using ChatGPT, Claude, DeepSeek, and Perplexity. A local startup earned certification from KOBİA (the Small and Medium Business Development Agency) for an AI-based website builder that generates text, images, and social posts from keywords, and more young companies are emerging in AI for marketing, sales, and customer support.

Overall, most current examples fall into customer service and personalization, AI as a marketing hook, or early-stage startups.Fully autonomous AI-driven marketing, with generated creatives and self-managed budgets, isn’t yet standard, but the trajectory points from isolated pilots toward mainstream adoption within a few years.

Notably, using AI is ceasing to be a distinct competitive advantage, since major ad platforms have already built it in. Google uses AI for bid management, ad generation, and performance analysis; Meta embeds it in creative production and placement; TikTok automates recommendations and targeting; LinkedIn uses it for campaign setup and B2B audiences. AI is becoming the default operating environment for digital advertising rather than an optional feature.

Will AI replace marketers?

Global research is more optimistic than alarming. McKinsey estimates generative AI could generate $0.8–1.2 trillion in additional annual value in sales and marketing alone, and $2.6–4.4 trillion economy-wide across 63 use cases. Gartner finds CMOs already allocate an average 15.3% of marketing budgets to AI, yet only 30% feel ready to scale these investments, meaning heavy investment is underway even as mass adoption is still forming.

Why doesn’t AI fully replace marketers? Two reasons stand out.

First, AI still can’t generate genuinely original ideas. It excels at remixing existing formats and speeding up variation, but breakthrough ideas still come from humans, often at the intersection of a designer’s sketch, a copywriter’s experience, or an insight drawn from data. Surveys show three in four marketers worry about the growing sameness of AI-generated content, and 86% have noticed AI output resembling competitors’, a real risk that brands using similar tools and prompts will converge in look and tone over time.

Second, and more important, even flawless AI output needs human oversight, not for quality but for accountability. AI can write copy or generate images in seconds, but humans must still verify facts, catch outdated data or misinterpretations, and check brand consistency and cultural nuance. In digital advertising, automated bidding tools like Google’s Maximize Conversions or Meta’s Advantage+ optimize toward a chosen metric, such as lead form submissions, without distinguishing which of those actually convert to paying customers. Automated systems can’t weigh ethical, reputational, or strategic consequences, so alignment with brand values and audience trust remains a human responsibility.

That said, AI is already reshaping the labor market. Challenger, Gray & Christmas reported over 10,000 U.S. layoffs directly tied to generative AI in just the first seven months of 2025. More companies are cutting entry-level hiring as AI absorbs routine work, and even McKinsey cut about 10% of internal, non-client-facing staff while continuing to invest heavily in AI. So far, automation tends to hit entry-level employees performing routine tasks hardest, rather than eliminating the profession as a whole.

Those who don’t adapt will fall behind

A common conclusion across industry research is simple: AI won’t replace marketers, but marketers who use AI will replace those who don’t. Routine work is shifting to machines, while strategy, cultural nuance, original ideas, and accountability remain distinctly human.

For Azerbaijan, this is more opportunity than threat. The state has laid the groundwork, and banks and telecoms have proven viable use cases. The next step belongs to marketers and agencies who adapt these technologies to the Azerbaijani language, culture, and local audience, rather than simply using translated, imported approaches. Those who move early may help shape what AI marketing in Azerbaijan looks like over the coming years.