A transformation is underway in Indian marketing, though it is not being announced with glossy campaigns or loud product launches. Instead, it is taking shape quietly inside dashboards, chatbots, and automation platforms. The driver of this shift is “agentic AI” – software agents that do more than respond to instructions. They can plan, decide, and act with limited human prompting, and in doing so, they are redefining everyday marketing work.
From automation to autonomy
For years, companies used automation to schedule campaigns or process large datasets. Agentic AI moves beyond that. These systems manage workflows end-to-end, such as handling customer queries on WhatsApp, sending reminders at the right moment, or guiding a new customer through onboarding without human intervention. Early adopters report measurable results, including faster response times, higher campaign click-through rates, and grave time savings for marketing teams.
The advantage is not in flashy outcomes, but in fixing everyday problems that previously consumed entire teams. By taking on repetitive execution, these systems allow marketers to focus on strategy, creativity, and customer storytelling.
The three phases of adoption
Analysts describe agentic AI adoption in three stages.
Phase 1: Humans lead, with AI acting as an assistant, offering prompts and helping structure workflows.
Phase 2: Humans and AI agents work together, with agents acting as digital colleagues that can run their own processes.
Phase 3: Humans set strategy and direction, while agents execute, monitor, and report back, stepping in only when exceptions arise.
Indian firms are gradually moving from Phase 1 to Phase 2, with a few early leaders experimenting with Phase 3 models. This evolution requires employees to act less like operators and more like “agent managers,” overseeing performance and guiding outcomes.
Solving India’s unique challenges
The Indian market has particular complexities that make this shift of great importance. Agentic AI is being used to handle multilingual customer intent, to improve cash-on-delivery fraud checks, and to map diverse product ranges for quick discovery. These are not headline-grabbing functions, but they are the foundation of smoother customer experiences and stronger business performance.
The country’s digital scale makes even small improvements matter. With more than 800 million internet users and billions of monthly digital transactions, a one percent lift in engagement or conversion can translate into millions in revenue. Agentic AI’s ability to personalise communication in regional languages, adjust offers to local contexts, and time campaigns more precisely is proving especially valuable.
Balancing efficiency with trust
Despite these benefits, there are serious risks. Over-automation can make customer interactions feel mechanical or impersonal, undermining brand trust. AI systems trained on non-Indian data risk cultural missteps or bias. And with the Digital Personal Data Protection (DPDP) Act now in place, firms must be transparent about how customer data is collected and used.
Experts caution that companies must not treat AI as a replacement for human judgment. Indian marketing has always thrived on creativity, emotion, and cultural nuance – qualities that machines cannot replicate. The most successful organisations will treat agentic AI as an accelerator, not a substitute, ensuring humans remain in the loop for strategy, empathy, and storytelling.
The coming two years will be decisive. Businesses that invest now in agent platforms, employee training, and responsible guardrails are likely to gain a competitive edge as adoption becomes mainstream. Those who rely on AI only for cost-cutting, without focusing on customer trust or data protection, may risk losing credibility and market share.
For consumers, the change will likely feel subtle but impactful. Service queries will be answered more quickly, product recommendations will become more relevant, and campaigns will appear in local languages with cultural sensitivity. At the same time, human marketers will continue to shape the big ideas, emotional narratives, and ethical safeguards that AI cannot provide.
Agentic AI is not replacing marketing teams; it is redefining their roles. The future of Indian marketing lies in this partnership – where machines handle the execution, and people bring the judgment, creativity, and trust that truly connect with customers.
The 2025 Global Threat Landscape Report by FortiGuard Labs highlights a “dramatic escalation in scale and advancement of cyberattacks” due to the fast adoption of the present hostile tech and commercial malware and attacker toolkits.
According to the report, the data suggests cybercriminals are advancing faster than ever, “automating reconnaissance, compressing the time between vulnerability disclosure and exploitation, and scaling their operations through the industrialization of cybercrime.”
According to the researchers, hackers are exploiting all types of threat resources in a “systematic way” to disrupt traditional advantages enjoyed by defenders. This has put organizations on alert as they are implementing new defense measures and leveling up to mitigate these changing threats.
AI has become a key tool for hackers in launching phishing attacks which are highly effective and work as initial access vectors for more harmful attacks like identity theft or ransomware.
A range of new tools such as WormGPT and FraudGPT text generators; DeepFaceLab and Faceswap deepfake tools; BlackmailerV3, an AI-driven extortion toolkit for customizing automatic blackmail emails, and AI-generated phishing pages like Robin Banks and EvilProxy, making it simple for threat actors to make a swift and dirty cybercrime business.
The report highlights that the growing cybercrime industry is running on “cheap and accessible wins.” With AI evolving, the bar has dropped for cybercriminals to access tactics and intelligence needed for cyberattacks “regardless of an adversary's technical knowledge.”
These tools also allow cybercriminals to build better and more convincing phishing threats and scale a cybercriminal enterprise faster, increasing their success rate.
Attackers are now using automated scanning for vulnerable systems reaching “unprecedented levels” at billions of scans per month, 36,000 scans every second. The report suggests a yearly rise in active scanning to 16.7%. The defenders have less time to patch vulnerable systems due to threat actors leveraging automation, disclosing security loopholes impacting organizations.
According to researchers, “Tools like SIPVicious and commercial scanning tools are weaponized to identify soft targets before patches can be applied, signaling a significant 'left-of-boom' shift in adversary strategy.”