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AI helps brands explore connected TV, retail media, digital audio, gaming and conversational platforms to reach consumers beyond traditional channels.
AI-powered targeting, creative generation, predictive analytics and automated bidding can improve advertising efficiency and campaign personalisation.
Privacy, consent, algorithmic bias, brand safety and attribution remain critical challenges for responsible AI-driven advertising.
Digital advertising has long revolved around search engines and social media platforms. Brands compete for attention through sponsored search results, Instagram posts, YouTube videos and targeted advertisements. But as artificial intelligence (AI) becomes more widely used, the industry is beginning to look beyond these familiar channels.
From streaming platforms and online shopping to gaming and digital assistants, AI is creating new ways for businesses to connect with consumers. It is also changing how advertisements are created, who sees them and when they appear. For advertisers, the challenge is no longer just about reaching more people. It is about understanding what audiences want without making advertising feel intrusive or repetitive.
Connected TV (CTV) and streaming services are gradually turning out to be an important marketing medium for marketers targeting viewers outside social media. By using AI, these platforms will be able to determine how people watch content and find out who would be interested in certain products or services.
For example, an organization selling travel products would be able to find out people interested in travel programs and vice versa. Thus, advertisers will not need to rely on TV advertising but rather reach out to more relevant audience segments.
By using AI, businesses will be able to measure the effectiveness of their ads and modify their campaigns accordingly. With the rise in usage of streaming services for entertainment purposes, these services could gradually become an integral part of digital marketing strategies.
AI is currently altering how products are being found online, and it is expected to take on an even greater significance in relation to e-commerce marketing. Shopping sites are able to analyze the user's behavior, previous purchases and preferences to provide suggestions on products that will appeal to him personally.
A customer searching for a new phone will get recommendations on related products and accessories that go well with his choice. However, there is a thin line between useful personalization and annoying advertisements.
If users find themselves bombarded with the same products all over again and feel like being followed, then there is little chance that they will appreciate it.
Also Read: OpenAI Cites Policy Breaches in Dismissal of Three Safety Researchers
Video games provide a medium for brands to reach audiences who spend a lot of time in the digital environment. AI could assist marketers in placing ads in video games in such a manner that is not out of context.
Advertisements could appear in the form of billboards on the sides of the road in a race car video game or in the background of a sports video game. Such an ad placement could enable a brand to be introduced without stopping the player in between.
Such placements could even extend to the medium of AR and VR where the consumers would get an opportunity to interact with the products in a digital environment.
AI can create opportunities for ads by connecting to podcasts, music streaming platforms and digital assistants. AI will be able to target advertisements based on the consumer’s listening habits and the type of content consumed by the consumer in the process.
Consumers may get used to conversational recommendations for products from digital assistants instead of doing the research and searching through numerous websites if one asks the AI assistant to compare different types of laptops and find a good place for a holiday.
This opens up new avenues for brands but at the same time poses a question how will companies be able to become visible among the answers generated by the AI.
With the increased use of AI technology in advertising, there are fears regarding data harvesting, privacy, and consumer autonomy. Consumers might value advertisements that suit their preferences, but it is unlikely that they would be pleased with ads that seem too personal and intrusive.
AI is opening up advertising opportunities that extend well beyond search engines and social media. Streaming platforms, online stores, video games, audio services and digital assistants could all play a bigger role in how brands reach consumers.
But technology alone will not guarantee better advertising. Consumers still expect messages that are useful, creative and respectful of their privacy. Brands that use AI to understand their audiences without overwhelming them may be better placed to stand out in an increasingly crowded digital landscape.
Also Read: OpenAI Shifts 25% of Production Engineers to Security After AI Breach Scare
AI is helping advertisers automate campaign management, personalise creative content, predict consumer behaviour and optimise bidding across connected TV, retail media, gaming and emerging digital platforms.
AI advertising extends campaigns into streaming television, online marketplaces, digital audio, gaming environments, smart devices and conversational AI platforms where consumers discover products and services.
Retail media networks use AI to analyse shopping patterns, identify relevant audiences, optimise product promotions and help advertisers connect campaigns with purchases and measurable commercial outcomes.
Major risks include privacy violations, inadequate consent, algorithmic bias, unclear sponsorship disclosures, unsafe ad placements, intrusive personalisation and difficulties accurately attributing conversions across multiple channels.
Businesses should test emerging channels, strengthen data governance, establish human oversight, verify AI-generated content and use incrementality testing to evaluate campaign effectiveness beyond clicks and impressions.
