A voluntary exit program lets employees leave a company with a financial package, without a forced layoff. For hiring managers, it can release experienced engineers, architects and technical leads at the same time. For tech professionals, it creates choice, but only for those with skills that travel well.

The biggest programs now come from companies that are spending heavily on AI infrastructure and cutting costs elsewhere. If you hire senior tech talent, or you are one of those people, the next six months look different from the last two years. Not everyone who leaves will be available, and not everyone available will fit. That is where the work starts.

A voluntary exit program (also called a voluntary buyout or voluntary separation program) offers employees a package if they choose to leave by a set date. The company does not pick who goes. Employees decide for themselves, usually within a few weeks.

That detail matters for hiring. Because people choose, the group that leaves does not mirror the workforce. Employees with strong outside options tend to say yes first. Think senior engineers, architects and technical managers who know they can land somewhere else.

One recent example covers about 60,000 employees at a large US software company, roughly 27% of its global workforce. Eligibility runs up to vice-president level, in the US, Canada, India and the UK. Reporting does not name the Netherlands as an eligible country.

The data is limited on who actually accepts. We will only know after the decision window closes.

Companies run these programs to move money from broad staffing to AI infrastructure. The headcount goes down while the technology budget goes up. It is a reallocation, not a retreat from tech.

The numbers show the scale. One of the big players expects to spend about $175 billion on AI infrastructure in 2026, including data centres. Amazon, Microsoft, Alphabet and Meta together are projected to spend around $700 billion on AI data centres, chips and computing this year.

Amazon, Microsoft, Alphabet and Meta are projected to spend roughly $700 billion on AI data centres, chips and computing infrastructure in 2026. (AFP)

Some data-centre, sales and marketing staff are excluded from the offer. That tells you what the company wants to protect. Capacity and growth stay. Other roles face cost pressure.

For recruiters, that is a useful signal. Demand does not disappear. It concentrates around a narrower set of skills.

The profiles that matter most are senior individual contributors, architects, engineering managers and enterprise specialists. Many of them have a package in their pocket and time to choose. They will not take the first offer.

Reported terms are similar to standard severance, plus career-planning support. Employees have until early December to decide, and departures are set for 31 December. That creates a likely hiring window from late 2026 into early 2027.

Real availability depends on notice periods, immigration status and confidentiality or non-compete clauses. A candidate who says yes in December might not start before spring.

Also note the geography. Dutch employers are not the direct target of this program, yet people trained at big platform companies move across international teams. Some will look at the Netherlands, especially in cloud, security and enterprise software.

Skills that move from a large platform company to a mid-sized Dutch employer are cloud and platform engineering, data engineering, security and identity, solutions architecture and technical program management. Applied AI sits on top of that list.

In our view the question is not "did this person work at a big name?" It is "did this person ship something to production?" Model deployment, governance, observability, cost control and security are the things to check in an interview.

Roles like a platform engineer or a site reliability engineer are good examples. Both need hands-on delivery evidence, and brand recognition says little about that.

Security is another area to watch. The Dutch cyber law already puts pressure on hiring, as we covered in our piece on cybersecurity hiring under the new Dutch cyber law. More experienced people on the market may ease that a bit, but it will not solve it.

Yes, for specific skills. A large release of experienced people does not mean every role gets easier to fill. Scarce AI, cloud and security specialists will likely stay expensive.

Think of it as a concentrated pool, not an even supply. Candidates with financial support can wait, start their own company or only pick roles with real autonomy. Some will launch consultancies, developer tools or AI start-ups. That can create new clients and new competitors for employers at the same time.

Salary expectations are the open question. Our earlier look at rising IT salaries in the Netherlands shows how tight the Dutch market already is. A wave of international talent could soften the top end for some profiles. We do not have hard data on that yet, so treat it as a hypothesis.

Competition is the other factor. Dutch scale-ups, international tech firms, consultancies and venture-backed AI companies will all want the same people.

Approach them early, with specific information, and with a role that has real scope. The strongest people will talk to several employers at once, and they spot a generic message immediately.

Here is how this works in our Delivery Sprint. In the intake we agree what the role really needs. In sourcing we segment by function, seniority, location and technical depth, because a former program manager and a former security engineer are not the same search. In interviews we check delivery evidence, not logos.

Smaller Dutch employers have something to offer: ownership, direct impact, technical autonomy and a European market. They should say so. A candidate from a 200,000-person company also needs honesty about less process, fewer resources and broader role definitions. That is a cultural risk that is easy to name early and expensive to ignore.

And it is not a discount hiring event. These candidates expect senior scope, real influence and competitive total compensation.

A voluntary exit program can release a lot of experienced talent at once, but the supply is concentrated and the candidates can afford to be picky. The profiles that move best are cloud-to-AI engineers, architects, security specialists and technical leaders who have shipped real work. Hiring them takes a clear role, early contact and honest talk about the move from a big platform to a smaller team.

Hiring a senior profile in this window, or considering a move yourself? We are happy to compare notes on what the market looks like for your role.

1. Microsoft offers voluntary exit packages to 60000 staff
2. Microsoft offers buyouts to 60,000 workers as it pours money into AI
3. Microsoft offers voluntary exit packages to 60,000 staff - AFP.com
4. Microsoft offers buyouts to 60,000 workers as it pours money into AI
5. Microsoft offers 60,000 employees voluntary buyouts as AI spending accelerates
6. Microsoft offers buyouts to 60,000 workers amid AI spending push

Written by our AI, read by a flesh-and-blood recruiter.