A growing debate around artificial intelligence taxes is raising questions about who will pay for the future of AI and whether consumers will eventually absorb the cost. During a recent “Cup of Tech Gumbo” discussion, tech expert Haggai Davis explained how lawmakers and economists are revisiting ideas first introduced years ago about taxing AI companies as the technology expands into everyday life.
The conversation focused on a proposed “AI compute tax” or “robot tax.” The idea gained attention after concerns that artificial intelligence could replace jobs and reduce traditional tax revenue tied to workers and businesses. Instead of taxing individual users, proposals would target companies behind AI systems such as OpenAI, Anthropic and Google Gemini.
Davis explained that AI systems run on “tokens,” which represent computing usage during an AI session. Some lawmakers want to create taxes tied to that usage. Others have floated ideas like an “AI dividend,” where taxes collected from AI companies could help fund government programs or public payments.
Critics argue the cost would eventually fall on consumers through higher subscription fees, more advertisements and increased service costs. Davis compared it to cigarette taxes, saying companies often pass those expenses directly to customers instead of reducing demand.
The discussion also touched on how difficult it has become to avoid AI altogether. Search engines, apps and online tools now integrate artificial intelligence into daily use, making it nearly impossible for consumers to opt out completely.
The segment ended with another growing concern tied to connected technology. Davis warned listeners about cybersecurity vulnerabilities in internet-connected robot lawnmowers after researchers reportedly discovered devices with weak default passwords that hackers could access remotely.