As Alphabet and Microsoft clamor for regulation of tech like facial recognition, potential new rules and their obstacles pose existential threats to startups
You couldn't have missed it. The world's largest tech companies have started to clamour for regulation in this hugely under-regulated sector.
Context & Ripple Effects
Microsoft has been building toward this position since late 2018, when it first stepped up its calls for regulating facial recognition while research group AI Now pressed companies to open their algorithms to auditing. The regulatory chorus has since widened — Britain published a report arguing for stronger oversight and stricter acquisition rules, and antitrust enforcers have struggled because the giants' free services and constant business expansion don't fit existing models. What Exponential View adds is the asymmetry: as earlier privacy and transparency rules showed, complex compliance is a speed bump for Facebook but potentially fatal for startups.
First-order effects
- Alphabet and Microsoft gain agenda-setting power over facial recognition rules they are resourced to comply with, while startups selling the same technology face compliance costs that can consume their runway before launch.
- Any rule framework that emerges lands on a sector where regulators already lack a clean template for policing these firms, giving the incumbents' preferred designs an opening.
Second-order effects
- Compliance-heavy rules push startups toward exit by acquisition rather than independent scaling — precisely the behavior Britain's oversight report flagged with stricter acquisition rules, setting up a collision between two regulatory instincts.
- Rivals like Amazon, which later joined the federal facial-recognition push alongside Microsoft, face pressure to match the incumbents' regulatory posture or be cast as the irresponsible actor in the category.
Third-order effects
- If incumbent-drafted rules become the norm, regulation functions as a barrier to entry that concentrates AI markets further — the access-control dynamic where those who write the rules decide who may deploy the technology at all.
- The pattern points toward state-mediated AI governance in which the largest firms are co-authors rather than subjects of the rules, reshaping how regulators, auditors like AI Now, and new entrants share power over algorithmic accountability.
The trend: Big Tech is converting regulatory advocacy into competitive strategy, backing rules whose compliance burden falls hardest on the startups that might otherwise challenge them.