Pew Research survey of 4,135 US adults shows 56% say they wouldn't ride in a driverless car and 81% expect job losses for those who drive for a living
Americans See Robots Coming, But for Someone Else's Job Rob Thubron / TechSpot : Nearly three-quarters of Americans worry about machines taking human jobs Pew Research Center : Automation in Everyday Life Patrick Kulp / Mashable : Most people worry robots will replace human jobs, just not their own Denisse Moreno / International Business Times : Senate Panel Approves Autonomous Car Legislation, But Americans Don't Trust The Technology Steve LeVine / Axios : Americans just don't fear robots Tweets: PewResearch Internet / @pewinternet : 6% of Americans report that they have already been impacted by automation in the form of lost jobs and/or wages http://www.pewinternet.org/... http://twitter.com/... @cosentino : What % of Americans know commercial jets flying 39,000 ft. at near mach 1 speeds are almost completely autonomous? http://twitter.com/... Mike Dudas / @mdudas : “Will you do X in 50 years?” is such a completely silly thing to poll people on http://www.recode.net/...
Context & Ripple Effects
This 2017 Pew survey lands at a specific policy moment: a Senate panel has just approved autonomous vehicle legislation even though a 56% majority of Americans say they would not ride in a driverless car and 6% report already being hit by automation through lost jobs or wages. The tension between regulators moving ahead and riders holding back frames everything that follows.
The 'robots are coming for someone else's job' finding proved durable rather than a one-off: Gallup found a year later that 58% of Americans rate automation a bigger jobs threat than immigration or offshoring (58% see automation as the bigger jobs threat), and Pew's later waves keep reproducing the asymmetry — 62% say AI will majorly impact workers but only 28% expect it to hit themselves (Pew's 2023 worker-impact survey), with 52% of US workers still worried about AI's workplace effect by late 2024 (the October 2024 worker survey).
First-order effects
- Professional drivers are the named group at risk in the public's mind — 81% expect job losses for people who drive for a living, making them the most visible constituency for whatever the Senate panel legislates.
- Companies betting on driverless deployment face an adoption gap on day one: a 56% refusal-to-ride majority means demand-side trust, not technology, is the binding constraint as autonomous car legislation advances.
Second-order effects
- Legislators pushing autonomous vehicle rules have to sell safety and trust alongside the law itself, since public resistance gives opponents of the legislation a ready-made argument.
- Automation vendors and their customers can expect the political salience of driving jobs to rise, because the 81% job-loss expectation turns trucking and ride-hail labor into a live policy battleground rather than a quiet efficiency story.
Third-order effects
- If the pattern holds across Pew's successive waves — broad concern about automation's effect on work paired with low personal exposure — automation anxiety becomes a standing feature of US politics that shapes regulation sector by sector, from vehicles to hiring, where 71% oppose AI making final decisions.
- The persistent other-people's-jobs bias suggests adoption will lag capability indefinitely: each new automation wave (driverless cars then, generative AI now) restarts the same trust deficit, keeping deployment paced by persuasion rather than engineering.
The trend: US public opinion shows a decade-stable asymmetry on automation — high anxiety about machines displacing other workers, low expectation of personal impact — that keeps setting the political pace for deploying driverless cars and workplace AI.