Senior Skills, Day One - Has AI re-specced the career ladder?

Experienced developers in METR's randomised trial felt 20% faster with AI and measured 19% slower — a 39-percentage-point gap between feel and fact. Dale Leszczynski and Nick McIntosh take that perception problem into the graduate employment data: Stanford's Canaries in the Coal Mine payroll research, PwC's 2026 AI Jobs Barometer and its "seniorised" entry-level roles, DEWR's first AI and employment report, the 2025 Graduate Outcomes Survey showing underemployment rising a third straight year, and Anthropic's Economic Index putting Australia first for per-capita AI use. Then the fix: supervised unaided practice and a defended technical review — the verification skills no computing degree examines.[00:00] — Experts misjudge AI speedup[02:41] — Two job datasets collide[05:24] — Job ads versus actual hires[06:47] — Australia's first AI employment report[09:44] — Computing graduate employment falls[10:39] — Australia tops AI usage index[12:40] — Graduate outcomes: the before photo[14:43] — Frontier models ship, checking lags[20:22] — Two fixes universities already own[24:45] — Hosts put numbers on tapeLink promised on air: Stanford/ADP Canaries Dashboard — https://canaries.stanford.edu🎙️ Adjunct Intelligence is the weekly briefing for higher-ed professionals who want AI as a cheat code—not a headache.Every episode:• Real tests of AI tools in education and professional workflows• Fast, Monday-morning actions you can actually try• Clear signal through the noise (no hype, no jargon)👉 Subscribe on [YouTube] | [Apple Podcasts] | [Spotify]👉 Share this with a colleague who still says “I’ll figure AI out later”👉 Join the conversation on LinkedIn with #AdjunctIntelligenceStay curious. Stay intelligent. Stay the human in the loop.