More than 1 in 3 people say dating an AI chatbot while in a relationship isn't cheating, Malwarebytes research finds

Malwarebytes’ March 2026 survey of 1,500 respondents across the U.S., U.K., Germany, Austria and Switzerland found that 1 in 10 said AI had been used to create explicit imagery of them without permission, and 1 in 10 reported threats to release such imagery. Separately, 88% said AI is making it harder to distinguish genuine online content, while 37% said an AI-chatbot romance is not cheating when someone is already in a committed relationship. The findings highlight growing digital-trust and sextortion concerns; the article does not report a market reaction.

Analysis

The investable signal is not the survey’s prevalence figures; it is a potential rise in fraud losses, moderation expense, and identity-verification friction across dating and social platforms. If platforms respond with stronger verification or limits on messaging, that may curb scams but also add signup friction and hurt conversion or engagement. Conversely, weak enforcement leaves platforms exposed to reputational and regulatory costs. Cybersecurity vendors could benefit from more consumer interest in scam detection, but this release does not establish paid conversion, incremental revenue, or a durable advantage for Malwarebytes. Treat it as awareness marketing, not an earnings catalyst.

Near term (days): little basis for a price trade. Over 1–3 months, watch for platform policy changes, enforcement actions, and disclosed investment in image provenance or identity checks. Over 6–18 months, synthetic-media abuse could support demand for identity protection and verification infrastructure, while raising compliance and trust costs for AI and social platforms. The contrarian point: high stated concern is not equivalent to willingness to pay, and built-in platform controls may capture the value before standalone security products do. The thesis weakens if scam complaints and related losses do not rise, platform controls contain abuse without measurable engagement damage, or consumer-security vendors fail to show customer growth or paid-product uptake.

Key Decisions for Investors

• No directional trade on this announcement alone; the survey is self-reported, covers five countries, and provides no evidence of conversion to paid security products.
• Watch Malwarebytes for verifiable follow-through: paid identity-protection adoption, customer growth, or product disclosures tied to scam prevention. Do not infer consolidated financial impact from the report.
• Monitor Match Group and Meta for changes in verification, moderation costs, user engagement, and regulatory exposure; tighter controls could reduce fraud while increasing friction. Reassess only if company disclosures or policy actions establish a measurable earnings channel.
• For cybersecurity exposure, treat CrowdStrike and other security vendors as a broad watchlist rather than a direct beneficiary trade: this consumer-fraud use case may not translate into enterprise demand or incremental revenue.