Every wave of transformative technology creates two things at once: enormous value, and a segment of the public that feels threatened, displaced, or angry about it. Ride-share companies dealt with driver protests and vandalism. Social media platforms dealt with employee walkouts, doxxing campaigns, and office demonstrations over content moderation decisions. Data-broker and surveillance-adjacent companies dealt with activist confrontations at executives' homes.
AI companies are now inheriting all of it. Compressed into a much shorter timeline.
What took ride-share and social media a decade to work through is happening to AI and supporting companies in a fraction of that time. This is because the stakes feel larger, the public debate is louder, and the executives are more visible than ever. Job displacement fears, copyright and IP disputes, safety debates, and concerns about surveillance or misuse are all converging on a relatively small group of highly identifiable leaders and offices. With the majority of these companies skyrocketing into public notice faster than they can ever anticipate, that combination can turn from an online debate into a physical security problem faster than anyone can imagine.
Here's what the last decade of tech controversies actually teaches us and what AI companies should be doing about it.
There is a consistent pattern across every industry. A controversy is sparked, starting with public criticism and moving into online campaigns. Eventually this crosses into the real world, with protests outside of company headquarters and government offices. In the most extreme cases, this becomes direct threats against company leadership, sometimes resulting in actual physical harm or danger.
The mistake most companies make in these situations is treating these problems as something to be handled by internal teams, such as communications and PR trying to spin the narrative away from the controversy, or having building management call the police to disperse a protesting crowd. By the time the actual threat shows up, whether it be in your lobby or in the CEO’s driveway, it was usually telegraphed by the public sentiment weeks earlier.
A few dynamics make this a faster-moving and higher-stakes problem for AI companies specifically than it was for previous tech waves. The existential nature of the debate around the ethics and utility of AI companies is causing a greater wave of panic and fear than normal. Instead of displacing certain companies or jobs, such as ride-share companies versus the taxi industry, it seems like AI has the potential to displace a significant portion of the job force, from the factory to the office, and that is scaring people.
Another risk factor facing specifically leadership in these AI focused companies is that they are simply more visible in the modern era. They know that they need to be out there marketing their company and pushing themselves to the forefront of the news cycle to compete against the many other rising AI companies, and thus are more visible than even previous executives in the social media era. This visibility concentrates risk heavily onto people whose information is publicly available, leading to some of the horrific situations we’ve seen in recent news.
Of course, there is also the issue of each new generative model being released being hyped as the one that will decimate an industry’s workforce, enhancing the natural fear of losing your livelihood. Between the combination of these focal points, it isn’t surprising that there is an increasing frequency of physical danger facing those in community facing roles at these companies.
Lesson 1: Security planning has to start before the controversy. The companies that handled backlash cycles the worst were the ones building their security program after they were in danger. The companies that handled it best already had a plan in place for when threats showed up on their doorstep and knew what would trigger that threat.
Lesson 2: Building security and executive protection need to be planned together. A controversy rarely targets only one area. It typically threatens multiple places or people, and usually it's on the same day. Access control, visitor management, and perimeter monitoring at the office need to be coordinated with any protective coverage on leadership, not run as two unrelated programs.
Lesson 3: Public appearances and travel are the highest-exposure moments. Conferences, congressional testimony, campus talks, and press events are where that online presence and sentiment becomes reality. These moments require dedicated advance work and planning, not just reliance on whatever security is present organically.
Lesson 4: Residential exposure cannot be underestimated. Home addresses of founders and executives circulate more easily than most leaders expect, particularly once a name becomes attached to a public controversy. Residential security planning shouldn't wait until there's a specific, credible threat.
Lesson 5: Monitoring public sentiment is a security function, not just a PR function. Security teams that stay looped into how a controversy is trending online consistently catch problems earlier than teams that only find out once something happens on-site.
If you're the Chief Security Officer, Director of Security, or an executive assistant sourcing protection for your leadership team at an AI company, the practical takeaways are straightforward:
AI companies don't need to operate in fear of the public conversation around their work, but they do need to recognize that the conversation is entering reality in shocking ways more and more lately.
JPT Security provides executive protection and corporate security for AI companies, tech executives, and high-profile leaders across Silicon Valley, the Bay Area, and nationwide. Contact us for a threat assessment tailored to your organization's exposure.
Related Reading: What is a Threat Assessment? | Executive Threats Bay Area 2026 | Executive Protection | Corporate Security
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