The technology sector shed large numbers of jobs after a long period of continuous hiring. The stated reasons and the structural reasons overlapped only partially.

The stated reason

Over-hiring during the pandemic, when demand for digital services surged and companies expanded on the assumption the shift was permanent.

Which was true for several companies and was stated explicitly by chief executives.

It does not fully explain the timing, since the correction came well after demand had normalised, nor the breadth, since companies that had not over-hired also cut.

The interest rate story

Probably the larger factor.

Technology companies are valued substantially on expected future cash flows, which are discounted more heavily when rates rise.

Which reduced valuations across the sector regardless of current performance.

Venture funding contracted sharply, ending the environment in which unprofitable growth was fundable.

And within large companies, projects justified by long-term potential rather than current return became harder to defend.

The investor pressure

Activist investors publicly pressed several large technology companies to reduce headcount and increase margins.

Share prices responded positively to layoff announcements in a number of cases, which is a direct incentive.

Research on whether layoffs improve long-term performance is considerably more mixed than the market reaction suggests, with several studies finding no sustained benefit and identifying costs in knowledge loss and remaining-employee productivity.

The imitation effect

Once several major companies announced cuts, others followed rapidly.

Which has been noted in organisational research generally — layoffs cluster in industries in ways not fully explained by economic conditions.

The proposed explanation is that announcing cuts is easier when peers are doing so, since it reads as prudent rather than as distress.

What actually got cut

Recruiting functions, heavily, which follows directly from hiring stopping.

Speculative projects and research units, which are the first to go when long-horizon investment becomes harder to justify.

Middle management layers, explicitly in several cases, with flattening described as the goal.

Support and operations functions, some of which were subsequently rehired or outsourced.

The automation question

Frequently offered as an explanation and the evidence is thinner than the narrative.

The timing of the cuts largely preceded widespread deployment of the tools now credited for them.

Subsequent hiring patterns show reduced entry-level recruitment in several functions, which is more consistent with the automation account than the initial cuts were.

Distinguishing automation effects from a slower hiring environment generally is genuinely difficult with current data, and confident claims in either direction outrun what is known.

What it means for the sector

The period of continuous expansion appears to have ended, and hiring has resumed at lower rates with more selectivity.

Compensation, which had risen steeply during the competition for staff, has moderated in several markets.

And the assumption of job security in the sector — which had been unusual in its strength — has weakened, with visible effects on how people approach careers in it.

The individual perspective

For anyone affected, the structural explanation is little comfort, and it is worth knowing that the decision was generally not about individual performance.

Selection in large-scale reductions is usually made at the level of teams and functions rather than individuals, which is documented in how these processes actually run.

The severance and legal position

Which varies enormously by jurisdiction and shaped how the cuts were executed.

Some jurisdictions require consultation periods, collective negotiation and notice before large-scale redundancies.

Others permit immediate termination with contractual notice only.

Which is why the same company handled the same process very differently in different countries, and why announcements sometimes preceded any consultation in one market and followed months of it in another.

Companies have been penalised for failing to follow required procedures in several cases.

The effect on those remaining

Research on survivor effects finds reduced engagement, increased voluntary departure and lower productivity following layoffs.

Which partly offsets the intended savings and is rarely accounted for in the announcement.

Voluntary attrition frequently rises afterwards, and the people who leave voluntarily are disproportionately those with the best alternatives.

Visa dependency

A specific and severe consequence for workers on employment-tied visas.

Losing a job can start a short window to find sponsored employment or leave the country.

Which means the same layoff has entirely different consequences for different employees, and the affected group has little bargaining position.

Return to office

Mandates issued during the same period were interpreted by some as an indirect reduction mechanism.

Voluntary departures following such mandates have been documented, and whether that was the intent is disputed and unresolvable from outside.

The effect on headcount was real regardless of intent.

The contractor layer

Large technology companies employ substantial numbers through contracting firms, and those roles are frequently cut first and without announcement.

Which means published headcount reductions understate the total, and the workers affected have fewer protections and less visibility.

Estimates of the contracted workforce at some companies approach the size of the direct workforce, which makes the omission substantial.