Leadership1 distinct publisher3 min readUpdated
The reasons departing engineering leaders gave read like a price sheet: fewer teams to lead, fractional work that pays better, and AI startups outbidding executive seats.
The Board Room · Leadership desk

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The list of ten reasons is worth reading as a price sheet. Three of the items say nothing about how anyone feels: smaller teams need fewer leaders [6], fractional CTO work is preferred to a full-time position [7], and AI startups pay individual contributors more than non-AI startups pay executives [8]. Long hours are marked down as rarely decisive [5]. By my own classification of the published list, six of the ten reasons concern where value and pay now sit, and four concern how the job feels to do [20].
The mechanism runs through the first reason. Unrealistic founder and CEO expectations, including about AI, are named as the leading cause of the role going bad in 2026 [11]; the cost-cut mandate arrives with no backfills for the people removed [12]; and business results are under pressure while the AI coding bill grows [13]. Execute all of that faithfully and you have shrunk the input your pay band was indexed to. The sixth reason is the second-order effect of the first: a smaller engineering organisation needs fewer people managing managers [6].
The pay comparison does the rest. If a senior IC offer at an AI startup beats an executive offer at a non-AI one [8], the management premium has gone negative for that individual, and the title no longer pays for the parts of the job that got heavier. One CTO who has signed out described the new work as managing "AI psychosis" among founders and executive peers, including a founder who shipped a 60,000-line pull request and needed to be told what he had just added to the debt pile without the messenger sounding like a killjoy [14]. Nobody is clearly oncall when founder-shipped code breaks in a build-it-own-it culture [15], and prior agreements with the CTO can be overruled on the founder's vibes [16]. Fractional work sells the transferable half of the role and leaves that behind. The newsletter asks the blunt version of the question: has founder mode made the CTO and VPE roles low ROI [17].
The counting is thin and should be held loosely. The interview pool was self-selected, since everyone in it was already on a break or seriously considering one, so the incidence across all leaders cannot be read off it [2][22]. The 60 percent figure comes from private asks [9][21], and the two-of-four observation from a single recruiter's pipeline in San Francisco [10]. The same piece carries a working counter-case: Matt Boyle took the VP of Engineering job at Gitpod, later Ona and now acquired by OpenAI, and reports a rewarding run after interviewing the employer on whether its business genuinely leaned into what AI changes [18]. That points at the buyer's commitment as the variable, not the layer itself.
Either way, the replacement cost has moved. A founder filling a vacated CTO seat is bidding against a fractional contract and against IC compensation at AI startups [7][8], for a job whose holder is expected to cut the organisation he was hired to lead [12], in a market where a departing VPE says craft and quality now count for less than shipping speed [19]. That is a cheaper seat to fill and a more expensive one to keep filled.
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Ranked by verification strength, evidence, and original report placement.
The author writes that in his roughly 20 years in the industry he has not seen as many capable engineering leaders opting out or taking prolonged breaks as now, with CTOs, VPs of Engineering and heads of engineering quitting high-status roles with nothing lined up.
Reason six is 'Smaller teams mean less need for leaders'.
Reason seven is 'Fractional CTO work preferred over fulltime positions'.
Reason eight is 'AI startups pay ICs more than non-AI startups pay executives'.
After asking privately, the author reports that a majority of the CTO-level people he spoke to are considering a career break or are in the process of leaving: 6 of 10 engineering leaders said they are on the way out.
A CTO who just signed out of his job said managing 'AI psychosis' with founders and executive peers has become very difficult, citing a founder who shipped a 60,000-line pull request into the product while delighted at his own productivity, and the difficulty of raising the resulting tech debt without looking like a 'Debbie Downer'.
Evidence-backed comparisons of source perspectives and observed adoption signals. Read the methodology
Which Builder, Operator, and Investor concerns the observed source mix emphasized—not a truth score.
Evidence, demonstrated adoption, hype gap, incentives, and confidence are assessed independently, each on its own current evidence. How these are measured.
Single-source practitioner reporting, anonymous throughout
Every claim traces to one newsletter issue built on ~20 interviews with leaders recruited because they were already leaving or considering it, plus an informal 6-of-10 private canvass and one correspondent's four-startup pipeline. Quotes are unattributed apart from Matt Boyle; there are no attrition statistics, comp datasets, or employer confirmations, and the supplied body is truncated before several listed reasons are argued.
No adoption events in supplied sources
The cluster contains no releases, deployments, benchmarks, pricing or license changes, or disclosed usage figures — only anecdotal accounts of individual career decisions and comp perceptions. Nothing in the supplied material measures uptake of a product, practice, or tool, so adoption cannot be scored without inventing facts.
Trend framing runs ahead of the sample behind it
The piece and the cluster headline assert an industry-wide wave and a structural repricing of CTO/VPE seats, but the underlying numbers are 6 of 10 informally polled contacts and two of four startups in one candidate's pipeline, drawn from a pool recruited on the very outcome being explained. The reasons themselves are plausible and internally consistent — and the source is notably restrained in ranking burnout tenth and calling long hours 'rarely decisive' — which keeps the overstatement moderate rather than severe.
Subscription newsletter with practitioner-network sourcing
The one source is a paid engineering newsletter whose supplied text is cut off mid-section, with a 'Today, we cover' contents block typical of subscription framing — a structure that rewards a striking trend headline and continued readership. Sourcing also runs through the author's own leadership network, and interviewees who are departing or negotiating exits have their own reasons to frame employers unfavorably while remaining anonymous. No vendor, sponsor, or product interest is visible in the supplied material, which caps the score in the middle.
Directionally useful, quantitatively weak
Confidence is limited by one publisher, one item, anonymous sourcing, and a self-selected sample, with no adoption or third-party data to triangulate. What raises it above the floor is that the claims are concrete, internally consistent, first-hand, and clearly labelled as small-sample by the author and his correspondent, so the qualitative mechanisms — cost-cut mandates, founder-mode authority loss, fractional and IC pay competition — are reasonably well documented even though the trend size is not.
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1 article · August 22, 2026