In 2001 the writer Marc Prensky coined a phrase that would outlive its evidence: the digital native. People born into a world of screens, he argued, were a fundamentally new kind of learner, wired differently by a lifetime of technology, as distinct from their elders, the digital immigrants, as native speakers are from those who learn a language late. The metaphor was vivid, intuitive, and enormously influential in education and workplace thinking. It was also wrong, and the persistence of the myth quietly sabotages the way organizations design cross-generational mentoring.
What the research actually found
The claim has been tested, and it did not survive. The pivotal review by Paul Kirschner and Pedro De Bruyckere in 2017, published in Teaching and Teacher Education, examined the evidence and reached a blunt conclusion: there is no such thing as a digital native who is information-skilled simply because they never knew a world without digital technology. Growing up around devices makes people comfortable and casual with them; it does not make them competent at using them well, evaluating information critically, or applying technology to real problems. Familiarity is not skill.
The same review dismantled the companion belief that the young are effortless multitaskers. Humans do not multitask; they task-switch, and switching carries a cognitive cost that degrades learning and performance, in the young exactly as in everyone else. A generation raised on many screens at once is not better at attention; if anything it faces more competition for it. The digital-native picture had cause and effect backward: it mistook a habitat for a capability.
The broader research literature has converged on this. A growing body of work has pushed back on Prensky's untested, sensationalistic claims, and the consensus in educational research now holds that the skills attributed to digital natives, real skills like critical evaluation, effective tool use, information literacy, are the same skills anyone has always had to be taught and to practice. They do not install themselves through mere exposure, and they are not distributed by birth year.
Why the myth corrupts mentoring design
The myth does real damage precisely where cross-generational mentoring lives. If you assume the young are digitally fluent and the old are digitally lost, you design mentoring around that supposed gap. Reverse-mentoring programs get built on the premise that any young employee can teach any older one about technology, which sets up younger colleagues to teach things they may not actually understand deeply and casts older colleagues as remedial students regardless of their real capabilities. Both halves of the assumption are frequently false. Plenty of younger workers are comfortable consumers of technology but weak at applying it in a professional context; plenty of older workers are highly skilled, having built and run the very systems the young merely use.
The myth also wastes the most valuable thing older workers often have: hard-won judgment about how to use technology toward an end, as opposed to fluency in the interface. Knowing which tool fits a problem, how to evaluate whether a digital solution is trustworthy, how to integrate a new system into real work, these are the competencies that actually matter, and they correlate with experience and deliberate learning, not with age. A mentoring design that treats the young as automatic experts and the old as automatic novices points the learning in the wrong direction and demeans people on both sides.
Designing without the myth
The correction is straightforward once the myth is dropped. Pair people on demonstrated skill and specific need, not on assumptions attached to birth year. Some of your best technology mentors will be older; some of your least skilled technology users will be young. Let the actual distribution of ability, which cuts across every generation, drive who teaches whom. Assess what people can really do rather than assuming it from their age, and design each mentoring relationship around the genuine gap between two specific individuals, whichever direction it runs.
This is not only fairer; it is more effective, because it stops the organization from wasting fluency it has and overestimating fluency it does not. The digital-native myth is comfortable because it is simple, and it endures because it flatters a tidy story about generations. But the evidence retired it years ago. Mentoring designed on the truth, that technological skill is taught and practiced, not inherited from a birth cohort, uses the whole workforce's real capabilities instead of a cartoon of them. The first step to good cross-generational mentoring is to stop believing you already know, from someone's age, what they can do.
Sources
- Kirschner, P. A. & De Bruyckere, P. (2017). The myths of the digital native and the multitasker. Teaching and Teacher Education 67, 135-142. Finds information-skilled digital natives do not exist and that multitasking (task-switching) harms learning. https://www.sciencedirect.com/science/article/abs/pii/S0742051X16306692
- Kirschner, P. A. & De Bruyckere, P. (2017). The myths of the digital native and the multitasker (full text). Argues technology skills must be taught and acquired, not assumed from birth year. https://gwern.net/doc/psychology/2017-kirschner.pdf