Digital marketing has entered a new phase in 2026. Artificial intelligence can now help marketers generate product advertisements, create realistic videos, develop virtual influencers, produce voiceovers, design promotional images and personalise brand communication.
A business that previously needed a photographer, video editor, graphic designer and copywriter for every campaign can now use AI to accelerate several parts of its creative process.
But there is an important question that every marketer needs to consider:
When an advertisement looks real but has been created using artificial intelligence, should customers know about it?
India’s advertising industry has recently received an important development on this subject. On September 29, 2026, the Advertising Standards Council of India (ASCI) released its Guidelines for Responsible Labelling of Synthetically Generated Content in Advertising. The guidelines explain when advertisers need to disclose synthetic content, which uses are prohibited and when disclosure is not required. They are scheduled to take effect three months after publication. Source: ASCI’s official announcement.
This development creates a new learning opportunity for digital marketers.
Knowing how to generate an AI advertisement is one skill. Understanding whether the advertisement is truthful, transparent, appropriately disclosed and suitable for a real audience is another.
At BWD Institute, the focus on practical digital marketing education makes this an important subject for students to understand. Modern marketers need to learn not only how to use emerging technology but also how to apply it responsibly in real business situations.
Why AI-Generated Advertising Is Becoming a Major Marketing Topic in 2026
AI-generated content has moved from experimentation into everyday marketing workflows.
Businesses are using artificial intelligence to explore creative ideas, develop advertising concepts, produce product visuals, write promotional copy and create videos for social media.
Consider a Jaipur-based clothing business preparing for a festive campaign.
Earlier, the business might have needed to organise a complete photoshoot, arrange models, book a studio, hire a photographer and spend time editing promotional content.
With AI-assisted tools, the business may now create initial visual concepts, generate background variations, develop promotional copy and experiment with multiple creative directions much faster.
However, faster production also creates new questions.
- Does the advertisement accurately represent the product?
- Is the person shown in the advertisement real or AI-generated?
- Has a real person’s face or voice been replicated with permission?
- Does the advertisement create an unrealistic expectation?
- Could customers misunderstand the visual demonstration?
- Does the advertisement need an AI disclosure?
- Is the content compliant with applicable advertising standards?
These are no longer questions limited to legal departments or large advertising agencies.
They are becoming relevant to digital marketers, social media managers, performance marketers, content creators and business owners.
The ASCI guidelines make this distinction particularly important: the focus is on the effect synthetic content has on consumers, rather than simply whether an AI tool was used. ASCI official guidelines, September 2026.
What Are ASCI’s New Guidelines for AI-Generated Advertising?
The Advertising Standards Council of India is an advertising self-regulatory organisation. Its September 2026 announcement introduces guidelines for the responsible labelling of synthetically generated content in advertising.
For marketers, the important point is that not every use of AI automatically requires an AI label.
The guidelines distinguish between content that could materially influence consumer decisions, content that is prohibited, and routine AI-assisted work that does not require disclosure.
The framework identifies four key areas.
Prohibited AI-Generated Advertising Content
Some advertising practices remain prohibited even if the advertiser adds an AI-generated content label.
According to ASCI’s announcement, these include:
- Fabricated endorsements or testimonials.
- Misleading exaggerations of product results or features using synthetic representations.
- Representing non-existent locations or settings as real in a misleading way.
- Use of unauthorised copyrighted work.
- Deepfakes or use of an individual’s likeness without consent.
This distinction is important.
Adding a small disclosure to an advertisement does not make a misleading claim acceptable.
For example, imagine a skincare brand generates an AI video showing a fictional customer achieving unrealistic results after using a product.
Adding an AI-generated label does not resolve the underlying issue if the advertisement communicates a misleading product result.
The marketer must evaluate the truthfulness of the advertising claim itself.
AI Content That Requires Mandatory Labelling
ASCI identifies certain situations where disclosure is necessary because synthetic content could materially influence a consumer’s understanding or purchasing decision.
The examples include:
- Synthetically generated influencers and brand ambassadors.
- Replicating a real person’s likeness or voice with consent for personalised messaging.
- Fabricated events or settings that could affect understanding of the advertised product or service.
- Demonstrations of products that do not currently exist.
- Synthetic sound effects highly relevant to a product’s core features.
- Paid or sponsored AI-generated product suggestions, which must specifically be labelled “Sponsored by [Brand]”.
For example, a business creates a virtual influencer who appears to be a real person recommending a product.
The audience may interpret that recommendation differently if they believe the influencer is an actual human creator.
The disclosure requirement helps consumers understand the nature of the content they are viewing.
AI Uses That Do Not Require Labelling
The guidelines also recognise that some AI applications have no material impact on a consumer’s ability to make an informed choice.
Examples include:
- Routine colour correction.
- Light adjustment.
- Noise reduction.
- Minor blemish removal.
- Decorative or ambient elements.
- Obvious fantastical effects.
- Administrative and text-based uses, such as generating advertising copy.
- Accessibility features, including subtitles, translations and accurate audio descriptions.
This is a useful distinction for marketers.
Using an AI tool to write an initial social media caption is different from creating a synthetic human ambassador who appears to personally endorse a product.
The important consideration is whether the synthetic content changes what consumers understand about the advertised product or service.
How Should Required Disclosures Be Presented?
ASCI’s announcement gives examples of labels such as:
- “Audio/Video created using AI”
- “Audio/Video enhanced using AI”
Brands may also use alternative labels that accurately communicate the nature of the synthetic content.
The guidelines state that disclosures should follow applicable ASCI disclaimer guidance. ASCI official announcement.
For marketers, this means disclosure should be considered during creative planning and production rather than treated as an afterthought.
Why Digital Marketers Need to Understand AI Advertising Transparency
Digital marketing professionals work at the intersection of brands, platforms and consumers.
Their responsibilities often include developing advertisements, writing campaign messages, coordinating creators, producing content and measuring campaign results.
As AI becomes part of these activities, marketers need to understand the consequences of their creative decisions.
Imagine a digital marketing agency working with a Jaipur-based real estate business.
The agency creates an AI-generated promotional video showing a luxury apartment with a swimming pool, landscaped gardens and a city view.
But the actual property does not have these facilities.
Even if the video looks attractive, it could create a misleading impression.
The issue is not simply that AI generated the video. The issue is that the advertisement could cause customers to believe something about the property that is not true.
This is why modern marketing requires more than creative execution.
A marketer must understand the business, verify the claims and evaluate how the audience may interpret the advertisement.
At BWD Institute, students should understand these real-world situations as part of developing a practical marketing mindset.
The Difference Between AI-Assisted Creativity and AI-Based Misrepresentation
AI can support creative work without necessarily creating a misleading advertisement.
Consider two examples.
Example A: AI-assisted creative production
A Jaipur restaurant uses AI to create a decorative background for a social media advertisement. The restaurant’s actual food photographs are used, and the advertised prices and offers are accurate.
The AI-generated background does not materially change the customer’s understanding of the product.
Example B: Misleading synthetic advertising
The same restaurant uses AI to generate a dish that it does not serve and presents the image as an actual menu item.
Customers may believe they are ordering something that does not exist.
The difference is the representation being communicated.
A responsible marketer needs to identify that difference before the campaign goes live.
This is a practical skill that cannot be developed simply by learning how to write prompts.
Why Consumer Trust Is Becoming a Marketing Priority
AI makes it easier to produce content at scale.
However, content volume does not automatically create customer confidence.
Consumers want to understand whether the claims made by a brand are genuine.
They want advertisements to represent products accurately.
They want recommendations to be transparent.
They also expect businesses to respect their identity, privacy and intellectual property.
Canva’s 2026 State of Marketing & AI research highlights this challenge. Its global research, which included marketing leaders and consumers across seven countries including India, reports that AI adoption is widespread among marketing teams while consumers continue to place importance on human creativity, transparency and trust. The findings are based on the survey populations described in Canva’s report, not a measurement of every Indian consumer. Canva State of Marketing & AI Report 2026.
This creates an important responsibility for marketers.
Instead of asking only:
“Can AI create this advertisement?”
They should also ask:
“Will this advertisement help customers make an informed decision?”
That question should guide the entire creative process.
The New Responsibilities of a Digital Marketing Professional
The role of a digital marketer is expanding.
Earlier, a social media manager might have focused primarily on captions, posting schedules and engagement.
A performance marketer might have concentrated on campaign setup, audience targeting and optimisation.
A content creator might have focused on images, videos and creative formats.
Today, these activities increasingly overlap with AI tools and automated workflows.
The modern digital marketer may need to understand:
- AI-generated images and videos.
- Synthetic voices and virtual influencers.
- Advertising disclosure requirements.
- Creative verification.
- Brand guidelines.
- Consumer psychology.
- Copyright and consent considerations.
- Accurate product representation.
- Campaign measurement.
- Human review of AI-generated outputs.
This does not mean every marketer needs to become a legal specialist.
It means marketers should recognise when an advertising concept creates a transparency, consent or accuracy issue and know when to seek appropriate guidance.
Why Jaipur Businesses Need Marketers Who Understand Responsible AI
Jaipur has businesses across many sectors that use digital platforms to reach customers.
These include:
- Healthcare and clinics.
- Educational institutes.
- Hotels and hospitality.
- Restaurants and cafes.
- Real estate businesses.
- Jewellery and fashion brands.
- Local retailers.
- Travel companies.
- Ecommerce businesses.
- Professional service providers.
Many of these businesses can benefit from AI-assisted marketing.
However, the type of content used in each industry matters.
A fictional background for a restaurant’s promotional creative may be very different from a synthetic doctor appearing to recommend a healthcare product.
Similarly, an AI-generated illustration for an educational advertisement may be different from a fabricated student testimonial.
Marketers need to understand the difference between creative presentation and misleading representation.
For a digital marketing agency working with local businesses, this knowledge can become part of campaign planning and quality control.
How BWD Institute Connects Modern Marketing With Practical Learning
BWD Institute is focused on building a practical digital marketing learning environment in Jaipur.
Its approach is based on helping students understand how marketing activities work in real business situations.
This becomes particularly relevant when discussing AI-generated advertising.
Students should not simply learn that AI can generate an image or video.
They should learn how to evaluate the output before using it in a campaign.
For example, a student working on a mock advertising campaign could consider:
- What is the objective of this advertisement?
- Who is the intended audience?
- What product or service is being promoted?
- Are the claims accurate?
- Is any synthetic person or voice being used?
- Could the audience misunderstand the visual?
- Is disclosure required under the applicable guidance?
- Has the final creative been reviewed?
This approach connects technology with actual marketing responsibility.
BWD’s creator studio positioning also provides a relevant environment for thinking about how content is developed, presented and evaluated.
The objective is to understand the complete creative process rather than simply generate content and publish it.
Why Learning AI Tools Alone Is Not Enough
The availability of AI tools has created a new challenge for digital marketing education.
A student can now access tools that generate:
- Social media creatives.
- Advertising headlines.
- Product descriptions.
- Promotional videos.
- Voiceovers.
- Landing page copy.
- Blog outlines.
- Email campaigns.
- Marketing research summaries.
But access to tools does not automatically create professional capability.
Consider a student who can generate ten advertising creatives in five minutes.
That student still needs to understand which creative communicates the correct message, whether the product representation is accurate and whether the advertisement suits the target audience.
A business does not simply need more content.
It needs content that supports a business objective.
This is why practical judgement is an important part of learning digital marketing.
At BWD Institute, the focus on AI-powered learning should be understood alongside the importance of human review, strategic thinking and real marketing application.
A Practical Example: Creating an AI-Assisted Advertisement for a Jaipur Business
Imagine that a local Jaipur furniture brand wants to promote a new sofa collection.
A digital marketer may use AI to develop multiple advertising concepts.
The process could look like this.
Step 1: Understand the Actual Product
Before creating any advertisement, the marketer collects accurate product information.
This includes:
- Actual product photographs.
- Available colours.
- Material details.
- Dimensions.
- Pricing.
- Delivery information.
- Warranty details.
The marketer should not invent product features to make the creative more attractive.
Step 2: Develop the Creative Concept
The marketer creates a campaign idea around a modern living room.
AI may assist with mood boards, background concepts, headline variations and visual references.
The actual product must still be represented accurately.
Step 3: Generate Supporting Creative Assets
AI tools may help create decorative backgrounds, adjust lighting or explore different layouts.
The marketer reviews whether the output changes the appearance or characteristics of the actual furniture in a misleading way.
Step 4: Review Synthetic Content
If the advertisement uses synthetic people, voices, fabricated settings or other synthetic elements that materially influence consumer understanding, the marketer checks whether disclosure is required under the applicable ASCI guidance.
Step 5: Verify the Advertising Message
The marketer checks:
- Are the advertised prices correct?
- Are product features accurate?
- Are promotional claims supported?
- Are any testimonials genuine?
- Are permissions available for any real person’s likeness or voice?
Step 6: Publish and Measure
Once the creative has been reviewed, the marketer can proceed with the campaign and monitor its performance.
Useful metrics may include:
- Reach.
- Video views.
- Click-through rate.
- Cost per click.
- Qualified enquiries.
- Conversion rate.
- Customer feedback.
This example demonstrates how AI can support production while human judgement remains central to the marketing process.
Why Human Creativity Still Matters in AI-Generated Campaigns
One of the biggest misconceptions about AI marketing is that producing more content automatically creates better marketing.
It does not.
AI can generate hundreds of headlines, but the marketer needs to identify which message is relevant to the audience.
AI can generate a video, but the marketer needs to understand the story.
AI can create a visual, but the marketer needs to verify whether it represents the product accurately.
AI can suggest an advertising strategy, but the marketer must consider the actual business situation.
The difference is between generating an output and making a marketing decision.
This is why creativity, audience understanding, storytelling and critical thinking remain important.
A strong digital marketer should know how to use AI without allowing automated production to replace professional judgement.
What Students Should Look for in a Digital Marketing Institute in 2026
The changing advertising environment also gives students a reason to evaluate digital marketing institutes differently.
Instead of looking only at the number of tools or topics mentioned in an advertisement, students can ask practical questions.
Does the institute teach current marketing practices?
Students should understand how digital platforms, AI tools and advertising workflows are changing.
Does the institute encourage practical content creation?
Creating and reviewing content helps students understand the difference between a concept and a finished marketing asset.
Are students encouraged to question AI outputs?
AI-generated content should be checked for accuracy, relevance and brand suitability.
Does the learning environment include real business situations?
Students benefit from understanding how marketing decisions affect actual businesses and customers.
Does the institute discuss transparency and advertising responsibility?
Modern marketers should understand that creative production involves consumer trust, consent and accurate communication.
Can students understand the reasoning behind marketing decisions?
Knowing which button to click is useful. Understanding why a particular campaign or creative decision makes sense is equally important.
These questions help students evaluate whether their learning environment prepares them for the realities of modern marketing.
BWD Institute’s Focus on Practical Skills
BWD Institute positions itself as a next-generation, AI-powered digital marketing institute in Jaipur.
Its learning philosophy places emphasis on practical understanding, modern marketing tools, creator-led activities and career-oriented skill development.
The institute’s creator studio environment is intended to connect learning with content creation and practical marketing activities.
This matters because digital marketing is not a static subject.
The tools, advertising formats and expectations of businesses continue to change.
A student who learns to question an AI-generated advertisement, verify its claims and understand the customer’s perspective is developing a skill that goes beyond operating a particular software platform.
BWD Institute’s stated focus is to help students build practical digital marketing capabilities that can be applied in changing industry situations.
BWD’s Practical Skills Refund Commitment
BWD Institute also highlights its commitment to practical digital marketing skills through the following promise:
100% Fees Refund if BWD is unable to provide you with practical digital marketing skills, subject to the institute’s applicable terms and conditions.
This commitment reflects the institute’s emphasis on practical learning rather than treating digital marketing education as a purely theoretical experience.
Students evaluating an institute should review the applicable terms and conditions and understand exactly how such a commitment operates.
How Responsible AI Marketing Can Shape Future Career Opportunities
As businesses integrate AI into marketing operations, professionals may increasingly work across a combination of creative, analytical and operational responsibilities.
Potential areas include:
AI-assisted creative production: Helping brands develop advertising concepts, visual assets and content variations while reviewing accuracy and brand suitability.
Performance marketing: Understanding how creative assets, audience signals, campaign objectives and conversion data work together.
Social media management: Managing content calendars, creator collaborations, community communication and platform-specific creative.
Brand communication: Maintaining consistency in messaging, visual identity and customer expectations.
Marketing analytics: Evaluating campaign performance and identifying opportunities for improvement.
Marketing operations: Coordinating AI tools, content workflows, automation and quality checks.
These are not guaranteed job outcomes. They are examples of areas where digital marketing skills can be applied.
Students who understand both the technology and the business purpose behind it can develop a broader perspective on the industry.
Why Digital Marketing Education Must Keep Evolving
The ASCI announcement is one example of how quickly the digital marketing environment is developing.
New technologies create opportunities, but they also create new responsibilities.
A marketer who learned advertising several years ago may now need to understand AI-generated visuals, synthetic voices, virtual influencers and disclosure practices.
Similarly, someone entering the industry today should expect the tools and workflows they learn to continue changing.
This makes adaptability important.
Students need to build an understanding of marketing principles that can be applied even when individual tools change.
These include:
- Understanding customer needs.
- Developing clear brand messages.
- Creating relevant content.
- Evaluating advertising claims.
- Understanding platform behaviour.
- Measuring campaign performance.
- Improving customer experiences.
- Using technology responsibly.
These principles help marketers adapt to new tools rather than depending entirely on a particular platform.
BWD Institute: Learning Digital Marketing for a Changing Industry
The future of digital marketing will involve a combination of artificial intelligence, human creativity, data, advertising platforms and customer experience.
AI will continue to make content production more accessible.
But the value of a marketer will not be measured only by how quickly they can generate an advertisement.
Businesses also need professionals who can understand their products, communicate accurately, evaluate creative quality and build customer confidence.
That is why BWD Institute’s practical learning approach is relevant to the changing marketing environment.
For students in Jaipur, learning digital marketing should involve more than understanding tools in isolation.
It should involve understanding how those tools are used in real business situations and what responsibilities come with using them.
Frequently Asked Questions
What are ASCI’s new AI advertising guidelines in 2026?
ASCI released its Guidelines for Responsible Labelling of Synthetically Generated Content in Advertising on September 29, 2026. They explain when synthetic content requires disclosure, which practices are prohibited and which routine uses do not require labelling. The guidelines are scheduled to take effect three months after publication.
Does every AI-generated advertisement need an AI label?
No. ASCI distinguishes between synthetic content that materially affects consumer understanding and routine uses that do not materially affect informed decision-making. For example, routine colour correction, minor editing and AI-generated advertising copy are listed among uses that do not require labelling under the announced guidelines.
Can a brand use an AI-generated influencer?
The ASCI guidelines identify synthetically generated influencers and ambassadors as content requiring disclosure. Advertisers must also ensure that the advertisement does not make misleading claims or otherwise violate the ASCI Code.
Is adding an AI label enough to make an advertisement acceptable?
No. The ASCI announcement makes clear that prohibited or misleading advertising does not become acceptable simply because an AI label is added.
Why should digital marketers understand AI advertising guidelines?
Digital marketers may be involved in creating, approving or publishing advertisements that use synthetic visuals, voices, people or product demonstrations. Understanding the relevant guidelines helps them identify potential transparency and accuracy issues before publication.
Does BWD Institute focus on AI-powered digital marketing?
BWD Institute positions its learning experience around modern digital marketing and AI-powered tools, with an emphasis on practical application and content creation.
Where is BWD Institute located?
BWD Institute is located at 2nd Floor, B5 Murtikala Colony, Gopalpura Bypass, Jaipur, Rajasthan.
Conclusion: The Future Belongs to Marketers Who Understand Both Technology and Trust
Artificial intelligence is changing how advertisements are created, edited and distributed.
But the September 2026 ASCI guidelines demonstrate that responsible advertising remains important even as creative technology advances.
Marketers need to understand when AI can support their work, when synthetic content requires disclosure and why misleading representations cannot be corrected simply by adding a label.
For students entering the digital marketing industry, this creates an important learning opportunity.
They need to become comfortable with modern tools while developing the ability to evaluate their outputs.
They need to understand creativity, customer psychology, brand communication and advertising responsibility.
At BWD Institute, the focus on practical digital marketing education connects naturally with these changing industry expectations.
The goal is not simply to teach students how to generate content using AI.
It is to help them understand how to use technology thoughtfully, create meaningful marketing communication and approach real business challenges with professional judgement.
AI can generate an advertisement. A skilled marketer understands what that advertisement should communicate, whether it is truthful and how it will influence the customer.
That distinction will remain important as digital marketing continues to evolve.
