
The Unceremonious Collapse Of Omnichannel In Pharma
By Michelle Parcels & Dr. Benedikt Bielicki, Digitalisation of Customer Engagement, Arcondis
Engagement leads have long assumed Healthcare Providers (HCPs) to be behind on digital trends.
The introduction of AI, however, suggests something the industry has long underestimated: HCPs are far more digitally savvy than many assumed.
This has resulted in pharma experiencing what we’ve observed in other industries: the unceremonious death of omnichannel.
The belief in controllable customer journeys has been at the core of the healthcare industry’s approach to engagement. Efforts to carefully calibrate every interaction point are endless. Pharmaceutical companies decide when, how, and where they disperse information, feeding it to their audience through hyper-individualized segmentation, aligning each content piece to the precise preferences of HCPs to make sure they meet them exactly where they’re most perceptive to specific messaging. All roads lead to our websites, seems to have been the motto. But not anymore: The arrival of a new player has brought an end to this era.
AI allows audiences to pick and choose precisely what they want to see and when they want to see it, all without the hassle of juggling multiple platforms. This new reality forces companies to completely re-evaluate their customer journeys.
BYE-BYE, AUDIENCE
The most radical change to the customer journey might simultaneously be the simplest one: in a zeroclick world, the entry point becomes the exit point.
Gone are the days of clicking through emails and websites, of maneuvering search engines only to arrive at a barely satisfactory answer to one’s questions. One quick query is all that is needed in the universe of AI chatbots. Digital leaders can keep (over) engineering content, but AI will sweep through websites to come up with its own summarization of information indiscriminate of brand messaging or regulatory subtleties. To make matters worse, that singular interaction point unfolds as a nightmare on KPI dashboards: engagement across channels has steadily declined and it is very unlikely to go up again.
Take the example of news sites: In May of 2025, more than 500-million fewer clicks were reported. It is safe to say that the era of customer journeys ending neatly on a website is over. HCPs have moved on, and if digital marketers can’t offer value beyond what a chatbot can do, they will be left performing in a void.
THE NEW KID(S) ON THE BLOCK
Who exactly stole away the audience, and what makes those new players so attractive to HCPs?
The growing desire for minimal interactions plays directly into what chatbots do best: providing answers without the laborious manual scanning of website after website. If you’ve recently spent time with a busy clinician, you will have noticed the shift. Where a few minutes might previously have been spent navigating a company website between rounds, clinicians are now turning to more frictionless AI solutions, and “generic” chatbots (like ChatGPT, Gemini or Claude) aren’t the only competition anymore. New HCP-specific targeting tools are emerging rapidly across the life sciences landscape. These tools are occupying an increasingly specialized niche, as can be seen with the emergence of OpenEvidence or ChatGPT Health4. OpenEvidence is reportedly already used by over 40% of HCPs. And what we are seeing is likely just the beginning.
What are engagement leads left with when their audience moves on? First efforts to adapt to this new reality by ways of website-optimization are well-intended, but don’t make for a sustainable long-term strategy. Reactive offerings such as AI-readable content layers built directly into websites have gathered some attention, but they, too, will not suffice; especially as we expect that specialized HCP targeting tools will select their input data carefully. After all, one can optimize a website to perfection, but without anyone ever reaching it, those are efforts spent in vain.
UNDERSTANDING THE NEW LAY OF THE LAND
Digital leaders will want to understand the gravitational shift they are facing before they move to adapt. To consider AI as simply another player in the omnichannel universe would be a grave underestimation. This new reality requires a fundamental reassessment in how pharmaceutical companies approach both influence and value creation.
Specialized AI systems have shown great favor for sources that appear collectively validated (e.g. peer-reviewed publications, professional societies and educational platforms). They operate within ecosystems of validated knowledge rather than relying on company-owned websites. This development marks a move towards collective legitimacy, and digital leaders will want to pay close attention to that.
In this new world, third-party platforms are no longer merely peripheral players to engage on a need-to-basis. Influence in the future will depend on both contributions to the sources AI draws from as well as meaningful collaborations with HCP-targeting clinical knowledge tools. Whoever wants to matter will have to navigate the new knowledge ecosystem instead of staying focused on channel orchestration alone.
The industry needs to understand that AI-powered tools have completely disrupted old engagement models. This makes it essential to be present where decisions are shaped, be it on clinical knowledge platforms, evidence networks, AI-integrated hospital systems or trusted professional environments.
NEW WORLD, NEW TERMS
Does all this mean companies should abandon ship and forget their owned channels altogether?
We’re probably not quite there yet. What these developments call for, however, is a good, long look in the mirror coupled with a healthy portion of humility. Companies fear becoming obsolete when they should really be focused on getting closer to their products to figure out what value they can offer through their channels.
Instead of aiming for engagement just for engagement’s sake, owned channels might have to offer digital services that go beyond just content. Meanwhile, our new reality may lead to a paradoxically elegant side effect: a return to scientific substance after years of tiring digital theatrics, and a move away from the increasingly meaningless pursuit of marginal improvements.
Pharma engagement has traditionally focused on targeting HCPs, and especially KOLs, with tailored scientific content to ensure the right treatment reaches the right patient. But the industry needs to understand that AI-powered tools have completely disrupted old engagement models. This makes it essential to be present where decisions are shaped, be it on clinical knowledge platforms, evidence networks, AI-integrated hospital systems or trusted professional environments. The question now is how digital leaders can build strategies that remain viable.
THE THREE PILLARS FOR A LONGTERM STRATEGY
Coming to terms with the tremendous scope of change can seem daunting. However, companies that take the time to recalibrate their engagement strategies and understand the new landscape will find that a clear path forward does emerge. The following three pillars in particular will be essential in building a solid strategy.
1. Redefining the Digital Value-Add
With AI adding a new dimension to engagement, engagement leads will need to better understand the evolving “jobs” HCPs and patients are trying to get done. Understanding what prompts different personas are using will be a natural first step. To keep owned channels relevant, companies must identify how they can integrate these “jobs” into their value chain. Digital offerings will develop into an integral part of the business instead of serving as add-ons. The survival of owned channels will dependon going “Beyond-the-Pill” and mere content marketing.
2. Reimagining the Engagement Landscape
Digital engagement leads need to understand the full impact AI is likely to have on their engagement ecosystem. Owned channels (such as websites or email newsletters) are likely to lose value, unless connected to a new value-add. LLM responses, on the other hand, are emerging as a new form of earned channel that carefully needs to be nurtured. Impact might even exceed traditional digital channels and journals selected for peer-reviewed publications.
3. Closing Knowledge and Skill Gaps
To respond both fast and with confidence, companies will need to stay on top of relevant AI-search trends, both for “generic” as well as specialized chatbots (and other AI solutions). Maneuvering these changes will become much more manageable with a clear map of the new healthcare engagement landscape, as well as the possibilities and risks. This pillar will help companies understand which systems are shaping HCP information discovery and clinical knowledge access.
HOW ARCONDIS CAN HELP YOU NAVIGATE THE CHANGE
AI is redefining the rules of engagement in healthcare. Instead of incremental tweaks, companies need strategic clarity. Arcondis helps organizations understand what these shifts mean in practice and how to set the right priorities for the years ahead.
- Redefining the HCP Personas of the Future. We help clients rethink their audience models based on emerging AI-driven behaviors and information pathways. Providing a realistic view of where traditional engagement will continue to drive value will enable leadership teams to make decisions grounded in actual HCP behavior in an AI-first world.
- Understanding the Cross Channel Impact. AI changes the relevance of every engagement touchpoint, from websites to congresses to scientific publications. We work with teams to assess the implications across their full engagement ecosystem by identifying where existing approaches remain effective, where adjustments are needed, and where long held assumptions require a fundamental rethink.
- Making the AI Landscape Actionable. The rapid rise of general and highly specialized AI tools introduces both opportunity and complexity. Arcondis maintains a structured overview of this evolving landscape and adapts it to each client’s context. This helps decision makers understand which technologies will influence HCP information discovery, how quickly change is unfolding, and what strategic responses are required.
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About the Authors
Benedikt Bielicki
Global Head Digital Customer Engagement
Michelle Parcels
Senior Consultant Digitalisation of Customer Engagement
References
- The Alan Turing Institute: One in four UK doctors are using AI
- BMJ Journals: Original Research: Use, knowledge and perception of large language models in clinical practice: a cross-sectional mixed-methods survey among clinicians (September 2025)
- ChatGPT referrals to news sites are growing, but not enough to offset search declines: TechCrunch
- OpenAI: ChatGPT Health (January 2026)
- Sermo: How OpenEvidence AI is transforming clinical decision-
making (September 2025)