The AI Revolution: 7 Trends Shaping the AI Revolution in 2025

We’re just weeks into 2025, and already, the landscape of artificial intelligence (AI) continues to evolve at an unprecedented pace, reshaping industries and redefining possibilities.  

In the realm of healthcare, AI is not just a buzzword; it’s a transformative force driving innovation, efficiency, and personalization. From direct-to-patient models to AI-powered medical devices, the integration of AI into healthcare is creating a future where technology and human expertise converge to deliver unparalleled outcomes. Here are the top trends in AI I think we’ll see in 2025 and how they have the potential to revolutionize the healthcare industry and beyond. 

  1. Direct-to-Patient Models Fueled by AI Will Transform Pharma

Persistent healthcare access challenges, more educated and digitally capable patients, and the growing demand for convenience are driving the growth of Direct-to-Patient (DTP). They represent more than just an additional channel.  They offer a new opportunity to transform the pharma commercial model around the patient’s journey. By leveraging consumerized experiences and AI to improve identification, engagement, adherence, and outcomes, DTP models are set to revolutionize the way pharmaceutical companies interact with patients. 

  1. Patients and Healthcare Professionals Tap into GenAI Superpowers

There is an explosion in patients turning to Large Language Models (LLMs) like ChatGPT, Claude, and Gemini for medical advice and guidance. Many patients prefer AI interactions for their credibility and empathy over traditional physician consultations. Healthcare professionals (HCPs) are also leveraging AI assistants like Abridge and Viz.ai to save hours on research, diagnosis, charting, and patient communications. This trend highlights the growing reliance on AI in both patient and professional healthcare settings. 

  1. New Interactions Beyond Screens and Apps

Over 20% of everyday interactions are now via voice agents, and this number is expected to rise with the rapidly improving voice capabilities of LLMs like GPT-4. AI-enabled wearables, AR/VR devices, gestures, and tactile interactions are reducing our dependence on smartphones as our primary digital interface. GenAI is also displacing traditional search for many users, pushing marketers to move from “push” interactions to “pull” strategies, where they creatively intercept users in the “moments that matter.” 

  1. AI Coworkers Ramp Up Across Pharma

According to McKinsey, GenAI has the potential to automate 40% of employee tasks across industries. In pharma, GenAI is making significant strides in marketing content generation and review, medical writing, field assistance, and personalized patient support. Companies like Moderna have deployed over 750 GPTs across their enterprise. As use cases with real ROI emerge and employees become more comfortable with the “co-intelligence” model, where they trust AI to take on critical tasks, more companies are expected to follow suit. 

  1. Connected Patient Data Across Experiences

Today, patient data is still highly fragmented, with patients having the least visibility into how they can access and leverage their overall health data, including EMRs, claims, and genomics. Companies like Picnic Health and Human API are attempting to provide a universal view of this data, but challenges remain. New AI models that proactively manage personal health will motivate patients to coordinate and share data, driving real benefits such as diagnosing rare diseases or matching them to new treatments or clinical trials. However, with over 70% of consumers protective of their personal information, pharma companies must demonstrate the real benefits of turning this data into tangible outcomes for patients. 

  1. AI Tutors and Digital Humans Transform Training

AI-enabled tutors like Khan Academy’s Kahnmigo are likely to become the primary way we learn, offering a more tailored learning experience at a fraction of the cost of in-person learning. However, these solutions must be carefully designed to augment rather than replace learning. Studies show that AI tutors can improve overall performance by over two times while retaining knowledge, but there is a risk of losing knowledge retention if users are simply given answers by AI. This has implications for internal workers and for educating patients and HCPs about specific diseases and treatment options. 

  1. AI Agents Remove Friction from Intent to Action

AI performance is improving rapidly, with capabilities increasing five times more per year in terms of creation, comprehension, and understanding. AI agents can extend this capability by integrating with existing data and services, taking appropriate actions on users’ behalf, such as launching new campaigns with approved content or booking appointments with specialists. These agents will multiply capabilities for pharma company internal teams and for HCPs and patients, who will soon be able to use agents to interact with companies on their behalf. This will require all brands to have “agent-ready” services and support. 

But that’s not all – BONUS TRENDS

While these seven are top of mind and I think will really take shape this year, two others that I’m also excited about include the following:

  • Digital Health Resurgence Through PDURS and AI-powered Apps

As pharma companies unpack the Prescription Drug-Use-Related Software (PDURS) guidance issued by the Food & Drug Administration in September 2023, they are starting to see opportunities to deliver additional value to patients with digital companion solutions and potentially differentiate their products, including updating the label. While 2023 was a down year for digital health, 2024 brought new energy that is expected to continue into 2025 as PDURS-eligible solutions, including apps, wearables, and connected devices, make their way into the market and demonstrate improved patient outcomes.  In addition, we will see more these digital health solutions use AI to deliver even more personalized insghts and interventions leading to better overall outcomes for patients and benefits for providers.

  • Embedded AI Adds Hyper-Personalization at the Edge

AI-enabled medical devices, wearables, and digital health apps will utilize local AI capabilities, including small LLMs, to provide real-time analysis and decisions for patients, reducing the need to share private health information with the cloud. Dexcom’s new Stelo CGM uses AI to provide lifestyle analysis and personalized advice to improve diabetes management for each user. Another example is Apple Intelligence, which brings a new level of personalization and privacy management to Apple Health. 

These trends highlight the transformative potential of AI in healthcare and beyond, promising a future where technology enhances every aspect of our lives. Companies that embrace it will be at the forefront of making unmatched changes to efficiency and, impacting patient lives. Is your brand embracing the AI revolution? Don’t delay and start today! 

 

Scott Snyder is Chief Digital Officer at EVERSANA 


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Scott Snyder
Chief Digital Officer

Scott serves as EVERSANA’s Chief Digital Officer, driving digital transformation for employees, clients, and the patients we serve. He brings more than 30 years of experience in emerging technologies and digital transformation across both…