"1) it is highly scalable and you can easily send out thousands of emails per day, 2) it’s a fairly “democratic” form of outreach where you can achieve great outcomes with good offers sent to the right people, and 3) there’s no platform risk."
From a European citizen point of view, this framing ignores a very real constraint: GDPR.
In the EU, sending marketing emails is not just a growth tactic, it is regulated personal data processing. In most cases, you need prior, explicit consent before sending promotional emails. “We found your email online” or “legitimate interest” is usually not enough for cold outreach aimed at sales.
The risks are not theoretical:
Administrative fines that can reach up to 20M EUR or 4 percent of global annual turnover.
Orders to stop processing, which can immediately kill an outbound pipeline.
Domain and IP blacklisting by European ISPs and email providers.
Blocking or delisting of websites and services in the EU market after regulator or court decisions.
Complaints to Data Protection Authorities by a single recipient are enough to trigger investigations.
So there is very much platform and regulatory risk, at least if you want access to the European market. Email is scalable, yes, but in Europe it scales legal exposure just as fast if consent, proof of consent, opt-out mechanisms, and transparency obligations are not handled correctly.
This is why many EU companies invest heavily in permission based lists, double opt-in, and strict compliance processes. Growth without compliance is not “no risk”, it is deferred risk.
> Venezuela, US couldn't take its oil, so it was heavily sanctioned for so many years, then it still couldn't resist the urge to steal it, and just took the head of the state.
Could you provide supporting evidence for your statement?
The comparison with calculators overlooks several key developments.
LLMs are becoming increasingly efficient. Through techniques such as distillation, quantization, and optimized architectures, it is already possible to run capable models offline, including on personal computers and even smartphones. This trend reduces reliance on constant access to centralized providers and enables local, self-contained usage.
Rather than avoiding LLMs, the rational response is to build local, portable, and open alternatives in parallel. The natural trajectory of LLMs points toward smaller, more efficient, and locally executable models, mirroring the path that calculators themselves once followed.