A small survey conducted by Spectrum got data from 50 American healthcare executives and IT/technology leaders in January.

While the sample was relatively small, the niche is narrow so results should be reasonably representative. In general, the leaders indicated they are good with EHRs but AI preparedness is severely lacking. When asked their readiness for the following technologies, there was a wide range.

Use of generative AI tools is on the rise, and Americans are more familiar with using AI than they might think. This survey was taken June 2-15, 2025, with a random sample of 2,017 US adults and asked about usage of different technologies.

Only 14% said they never use the most common AI applications in content-matching, and some of those will be curmudgeons who refuse to accept the technology is baked into everyday items.

56% think that AI will have more of an impact than the internet and 52% more than the telephone.

This story highlights the educational power of surveys that complements their detection use. For instance, many Americans won't have thought of Amazon or Netflix using AI in their everyday usage but after taking the survey over 2,000 Americans know this is at least possible.

Marketers need to be careful about this effect in HCP surveys where the total audience can be small. Ensure your regulatory people are involved in surveys to ensure no promotional materials creep in.

MarTech reports on different email marketing platforms in this report and includes some stats up front. This one from Salesforce is relevant to health marketers wondering how to engage with patients and HCPs.

When asked how they engage with companies, respondents in the Salesforce study said Email most often.

A report from Artificial Analysis is based on a global survey of over 1,000 AI users across company sizes and respondent roles. The report is chock full of charts looking at what AI tools are being used and for what purpose. 

This chart on LLM demand is interesting for the growth distribution. In real terms, Chinese DeepSeek has the largest growth from zero to 53% in one year. Google Gemini has reached 80% and is rivaling OpenAI for top spot.

For speech, OpenAI is in the lead but only 13% ahead of ElevenLabs.

OpenAI's DALL-E paved the way and the company is still in the lead but Google Gemini has grown quickly. Midjourney had a strong start, and is loved by graphic artists, but is a distant third in the rankings.

Check out the full report for 27-pages of charts and insights.

Uberall studies local search for physical establishments. This is most relevant for provider clinics but provides some insight into how AI is integrating into search tasks. When considering a local business, 57% of consumers search for the location.

The primary tools used are Google (search and maps) and AI tools are fourth. 

The advice that Uberall provides on how to appeal to GenAI search is fairly self-evident but uses a fun acronym and is worth repeating.

Wait. What?

Modern vehicles all have screen-centric information systems and the radio in these systems can display graphics with text. New ad networks are emerging to take advantage of this ability.

As a motorcyclist sharing the road with these drivers I'm not sure how I feel about that (no personal opinions -Ed.).

Regardless of the distraction potential, the brand boost is significant. This chart is sorted by lift in brand awareness.

Pharma brands can get some more awareness by leveraging this option for their logos.

A new report from Creative X is based on an internal analysis of 1.6 million ads with $2 billion in spend on Facebook, Instagram, and TikTok. The report found that growth in creator marketing has been substantial increased over the past 18 months.

Businesses are way more likely to follow the platform best practices than creators. Pharma marketers will get a chuckle over the number (or lack thereof) of businesses following the advertised safe zones on platforms.

The calculation is expanded on in the report but essentially it is:

KLAS surveyed 169 HDOs (predominantly health systems, hospitals, and physician practices) to find out how they are handling current economic uncertainties. 44% are using the technology.

The larger organizations are more likely to use AI. Payors were high percentage-wise, but are a small sample in the overall survey.

When asked how they used AI in their organizations, the largest number said admin / operational. It's hard to know where HCP notetaking fits here, either clinical or operational, but that could be one of the larger use cases.

In a story from the not-news department, traditional, linear TV spend is declining in pharma. This story is sparked by discussions to ban DTC drug advertising but also shows the industry's pullback from traditional TV.

Americans of all ages are increasingly supporting smartphone bans in middle- and high-schools. This includes recent graduates who know the environment in the 18-29 year-old cohort.

This younger demographic is the lowest-supporting group but has grown like the others.

Global populations are forecast to get smaller and older by 2100. This is important progress for the planet but the aging population will pose challenges for eldercare.

Eagle-eyed readers will see that working-aged people (25-64) increase as a percentage of the population but not as quickly as those 65+. Cultural shifts, aided by technology, may be needed to protect our elderly.

The variations by country are substantial, with China expected to lose 60% of it's population. This is an astounding change and will be culturally and economically straining for the country.

Storyful conducted social listening made up of 21,000 posts across two 6-month periods to compare conversations. The results highlight the volatility in social chatter and the dangers of relative growth metrics.

The topic is breast cancer, a condition that gets a lot of funding and attention. This should mean that discussion volumes might be more consistent but Storyful found large differences between May-Nov 2024 and Nov 2024-May 2025.

When measured as relative change, small numbers can look large. For example AI Advancements went from 1% of the conversation to 2% and achieved a 100% growth rate.

When we look at absolute values we get a better feel for the scale of the conversations. With roughly 10,000 posts for each period (October is breast cancer awareness month, so the first dataset may have more volume) a 1% change is 100 posts, so a meaningful amount.

Notice "Awareness" is way down (same as first chart). That makes sense when the awareness month is in the first tranche. Meanwhile, R&D announcements may have remained relatively steady and be shown as growing as a percent of all posts.

We're not sure how the posts were selected but when we ran a Meltwater query May 1, 2024 to April 30, 2025 we got 4.3 Million mentions, so the Storyful data is likely much more highly refined and curated. 

If someone from Storyful wants to reach out we'd love to hear the methodology. This story serves to remind us that social listening is 10% data and 90% interpretation (not accurate ratio -Ed.).