Why 90% of PhDs Struggle with Careers—and How You Can Avoid It

A PhD doesn’t automatically translate into employability—so the most important career move is taking responsibility for the skills and proof points built during the degree, starting early and continuing through graduation. The framework at the center of the discussion argues that outside academia hiring managers look for “markers” that signal fit: evidence of relevant experience, outputs, and engagement that match the career path being pursued. Without those markers, a student can finish with a credential but still lack a clear story—or the documented capabilities—to land a job.

The approach is organized into a timeline that runs through the PhD. In the first year, the emphasis is on getting the PhD itself under control while quietly building technical capability. The key operational habit is keeping a running record—essentially a dated spreadsheet of skills learned and activities completed—so later decisions about career fit aren’t based on vague memory. The second year shifts from “survive and build” to “plan and sample.” Students should identify three potential directions—labeled Plan A, Plan B, and Plan C—such as academia, science communication, public policy, or industry, then actively “taste” opportunities across those tracks. The point isn’t commitment; it’s experimentation that reveals what feels engaging and what networks and activities actually exist in each lane.

Each track has different markers that recruiters and gatekeepers tend to value. For academia (Plan A), the markers include technical training, publications, and conference participation. For public policy (Plan B), the markers lean toward seminars, workshops, and internships. For science communication (Plan C), the markers include school visits, online campaigns, and popular media. Throughout the second year, students should treat these markers like a checklist of proof they can accumulate—then later frame them in the language and priorities of the target field.

By the third year, the framework pushes students to narrow focus. Plan A becomes the primary target, with Plan B and Plan C still supported in parallel. The markers then become more deliberate: strengthening publication output and conference presentations for academia, for example, while ensuring the technical skill set required for that environment is actually in place. The fourth step—after the PhD or at the end of it—is assembling a CV that makes the preferred path look inevitable, not accidental. If the original Plan A changes, the same skills and outputs shouldn’t be discarded; they should be reframed so the CV reads as a coherent first-choice narrative.

A final bonus point adds a practical layer: build a network not only for opportunities, but to learn the “language” of the chosen career. Using the field’s buzzwords correctly—and understanding how they appear in policy documents, media, and professional conversations—signals genuine interest. The discussion also ties this to continuous reinvention, arguing that long-term career growth often comes from multi-sector experiences that combine in unexpected ways, rather than staying locked into one track for decades.