Key findings
- The Digital and Technologies Jobs Plan estimates that around 800,000 digital and technology roles may need filling between 2025 and 2035, but this includes replacement demand. It is not a forecast of net new jobs or a guarantee of vacancies for every newly trained entrant (Department for Science, Innovation and Technology, 2026) [[dsit2026]].
- The UK’s entry-route challenge is material: an estimated 981,000 people aged 16 to 24 were not in education, employment or training in April to June 2026. Yet this group is not a ready-made digital talent pool, and short-term changes should be treated cautiously (Office for National Statistics, 2026) [[ons2026neet]].
- Placements can improve confidence, insight and employability, but they should not be counted as equivalent to paid jobs. Local partnerships need to measure conversion, retention and progression as well as opportunity volume.
- The most practical constraint for many SMEs is employer capacity: designing useful junior work, supervising it and navigating fragmented schemes. Local brokerage can reduce that friction, but only if it protects role quality and supports managers.
- Sanctuary recommends a local conversion scorecard that separates encounters, placements, apprenticeships and paid jobs, then tracks starts, completion, paid-work conversion, six- and 12-month retention, and progression.
The policy has identified the right problem: demand, not skills supply alone
The UK’s Digital and Technologies Jobs Plan is a useful corrective to a familiar weakness in skills policy. Too often, the policy response to labour-market change is to increase training provision and assume that employers will absorb the resulting supply. The plan begins from a more credible premise: entry into digital and technology work depends on employers creating roles, offering meaningful experience and accepting some responsibility for developing people.
That matters now because entry routes are under strain. The Office for National Statistics estimated that 981,000 people aged 16 to 24 were not in education, employment or training (NEET) in April to June 2026, or 13.0% of the age group. The total was 30,000 higher than a year earlier, although 30,000 lower than in the previous quarter; ONS advises caution when interpreting short-term movements for this population because estimates are subject to sampling variability (Office for National Statistics, 2026) ↗. At the same time, UK vacancies fell by 21,000 to 691,000 in July to September 2026, with ONS reporting survey feedback that higher labour costs may be constraining recruitment among smaller firms (Office for National Statistics, 2026) ↗.
These figures do not show that all young people outside education and work are seeking, or should be directed towards, digital jobs. Nor do they prove that fewer vacancies are the sole cause of weak entry routes. They do, however, establish the context in which the plan will operate: a more cautious hiring environment in which applicants without prior experience are likely to face particular difficulty.
The plan estimates that around 800,000 digital and technology roles may need filling between 2025 and 2035, while setting an ambition to open around 200,000 genuine entry-level jobs, including apprenticeships. Crucially, the larger figure includes both additional roles and replacement demand: approximately 550,000 additional positions in priority occupations and 250,000 replacement hires. It is an indicative estimate of hiring need, not a net-jobs forecast or a target (Department for Science, Innovation and Technology, 2026) ↗.
This distinction should shape local decision-making. A large headline estimate does not mean every course completer will find a suitable role, or that demand will appear evenly across places. The central challenge is conversion: whether a local labour market can turn employer need into accessible, paid and sustainable first roles.
A weaker entry market has several causes—and AI is not a sufficient explanation
It is tempting to explain the deterioration in entry-level opportunity through AI alone. That account is too neat. Skills England reports evidence of weaker entry-level and graduate recruitment, including reduced advertising of some entry-level roles. But it also concludes that it is too early to isolate AI’s causal effect from wider labour-market conditions, post-pandemic adjustment and the economic cycle (Skills England, 2026) ↗.
That caution is important for both employers and providers. Automation may reduce parts of junior work, particularly routine administrative tasks. But a firm facing higher costs, uncertain demand or limited management time may also defer recruitment regardless of its use of AI. Conversely, a business adopting new software or AI-enabled processes may need people who can improve data quality, check outputs, handle exceptions, communicate with customers and document processes. Technology can narrow some entry tasks while creating demand for differently designed junior roles.
The implication is not that training is unimportant. Employers still need people with relevant technical foundations, digital confidence and employability skills. But training cannot substitute for an employer’s decision to create a viable role, allocate supervision and offer a credible next step. Equally, employer demand alone is insufficient if applicants cannot travel to work, meet essential requirements, understand recruitment processes or access appropriate support.
The practical policy challenge is therefore a system challenge. It involves hiring conditions, job design, management capability, candidate preparation, transport and local brokerage. Treating any one of these as the whole answer risks funding visible activity without improving the route into work.
Placements matter—but activity is not the same as labour-market conversion
The plan’s architecture recognises that entry routes take different forms: work experience, T Level industry placements, apprenticeships, undergraduate placements and entry-level jobs can each play a role in helping people enter the sector. It also makes a valuable accounting distinction. Work experience and placements are recorded separately from entry-level jobs, and only entry-level jobs, including apprenticeships, count towards the plan’s 200,000-job ambition (Department for Science, Innovation and Technology, 2026) ↗.
Local partnerships should retain that discipline. A workplace visit may broaden horizons. A high-quality placement can build confidence, demonstrate capability and give an employer a better basis for recruitment. An apprenticeship can provide a strong occupational pathway. None, however, is automatically equivalent to a paid job, and none guarantees that a vacancy will exist at its conclusion.
This is more than a measurement issue. If local systems reward the number of encounters, mentoring sessions or placements delivered, they may encourage low-risk activity that does not change hiring behaviour. Employers can participate generously without creating a route into paid work; providers can meet placement targets without knowing whether participants moved forward. That does not make those activities worthless. It means their purpose and likely outcomes should be stated honestly.
There is also a counterargument worth taking seriously. Requiring every employer engagement to lead directly to a job would discourage firms from offering exploratory experiences, particularly smaller businesses with limited headcount. The answer is not to demand a job guarantee from every placement host. It is to build a sequenced system: short encounters create awareness; substantial placements test mutual fit and develop evidence of capability; brokers identify vacancies and next steps; and employers that are ready to recruit receive practical support to do so.
For participants, transparency is essential. They should know whether an opportunity is observation, work experience, a placement with a defined assessment, or a paid role; what expenses and support are available; how selection works; and what progression is realistically possible. Clear distinctions help prevent unpaid experience becoming a substitute for fair entry-level employment.
The binding constraint for SMEs is often management capacity, not goodwill
For many SMEs, the obstacle to offering an entry route is not a lack of social commitment or even a lack of potential work. It is the cost of making an opportunity viable. An owner-manager may have to interpret programme requirements, coordinate with providers, recruit, induct a learner, answer safeguarding questions, supervise work and manage problems alongside the day job. Where margins and managerial time are tight, this transaction cost can outweigh the perceived benefit of hosting someone new.
The Digital and Technologies Jobs Plan identifies brokerage as a core mechanism: local coordination should help employers offer opportunities, prepare and match candidates, and support businesses to provide meaningful work and supervision. The plan points to Manchester Digital’s Switchboard as an example of a single route through which employers can offer work experience, internships, apprenticeships and mentoring (Department for Science, Innovation and Technology, 2026) ↗.
The useful lesson is not that every area needs a new branded portal. It is that firms need one clear route into the system and a service that reduces administrative duplication. Effective brokerage should translate a business need into an appropriate opportunity, provide simple templates for induction and supervision, solve avoidable operational problems, and make clear which partner is responsible for what.
Sanctuary’s recommendation is to treat employers as co-designers of junior work, rather than as passive placement hosts. A broker can begin with a short task analysis: which recurring work is delayed, inconsistent or retained by senior staff because no one owns it? In a local business, this might include maintaining customer records, updating website content, preparing service reports, documenting processes, conducting basic cyber-security checks or providing first-line support with digital tools.
The test is whether tasks are useful to the business, teachable, safely supervised and capable of expanding with the person’s confidence. This avoids two failures at once: creating artificial work with little value, and expecting a new entrant to perform an undefined role without adequate support. It can also help firms redesign junior work affected by automation around checking outputs, handling exceptions, improving data quality and escalating judgement calls. Such roles should add productive capacity, not displace established staff or trap entrants in repetitive, low-progression work.
Recruit for potential, while keeping essential standards clear
The Employability Skills Framework offers a practical way to improve how employers recognise potential. Skills England sets out 13 employability skills, including communication, teamwork, planning, adapting, problem solving, numeracy and digital literacy, and illustrates how they can be evidenced in a first-job context (Skills England, 2026) ↗.
Its value lies not in creating another checklist. It lies in helping employers distinguish between requirements that are genuinely essential and requirements that merely reduce perceived recruitment risk. Prior sector experience is sometimes necessary. Often it is used as a proxy for confidence, reliability or familiarity with workplace norms—qualities that can be assessed more directly.
A better entry-level process might combine clear essential criteria with short, job-relevant assessments. An applicant could prioritise a set of tasks, identify an error in a sample customer record, explain how they organised a project, or describe how they would verify an AI-generated response before sharing it. These methods do not lower standards; they make standards more relevant to the work.
Providers and employability organisations have a corresponding responsibility. Generic certificates alone are weak evidence of readiness. Candidates need opportunities to practise real tasks, explain their decisions, receive feedback and present their capability in language employers understand. The framework can provide a shared vocabulary, but it only improves access if employers use that language in job descriptions, selection processes and induction.
This matters particularly for people whose capability has been developed outside conventional employment: through caring responsibilities, volunteering, sport, education, community activity or informal enterprise. A recruitment process that relies solely on prior paid experience will systematically overlook some capable applicants. A process based on demonstrated potential can widen access while still protecting quality.
Build a conversion scorecard, not a catalogue of activity
The plan proposes reporting employer encounters, placements and internships hosted, apprenticeships and entry-level roles filled, SME support, and—where data permit—geographic distribution (Department for Science, Innovation and Technology, 2026) ↗. That is a reasonable baseline. Local delivery should go further by organising these measures as a conversion system.
Sanctuary recommends six linked measures. First, count employers making a specific, defined opportunity commitment. Second, count opportunities that actually start. Third, record completion. Fourth, record conversion into paid employment, a paid apprenticeship or a substantively advanced next step. Fifth, measure retention at six and 12 months. Sixth, capture progression in responsibility, pay or accredited learning.
The measures need denominators and categories. A one-day employer encounter should never be aggregated with a multi-week placement or a paid apprenticeship. Conversion should be reported by opportunity type, employer size and locality, rather than relying on a single headline total. Where lawful, proportionate and secure, partnerships should examine outcomes by participant characteristics to identify unequal access or retention.
This is not a case for burdensome performance management. It is a learning mechanism. It can reveal whether candidates are being prepared for the actual software and routines used in local workplaces; whether travel or childcare prevents starts; whether a standard induction package improves SME retention; or whether one type of placement is consistently leading nowhere. Qualitative feedback from participants and line managers should sit alongside the numbers, because a retention figure alone cannot show whether a role is developmental, sustainable or merely tolerated.
The Digital and Technologies Jobs Plan has set a promising direction: more employer-led, locally coordinated and more candid about the importance of demand. Its success will depend less on the number of schemes announced than on whether places can build a repeatable operating model for first jobs. That model must make it straightforward for an employer to create useful junior work, intelligible for a candidate to enter it, and realistic for both to sustain the relationship beyond the initial placement.
For Sanctuary, the strategic priority is clear. Community employability work should be connected to local business support, management development and enterprise networks—not treated as a separate pipeline. The strongest local economic value is created when a first role helps an individual build a durable career while helping a small business improve its capability, productivity and capacity to grow.
Research foundation
References
- Department for Science, Innovation and Technology (2026). Digital and Technologies Jobs Plan. GOV.UK.Source ↗
- Office for National Statistics (2026). Young people not in education, employment or training (NEET), UK: August 2026. Office for National Statistics.Source ↗
- Office for National Statistics (2026). Labour market overview, UK: October 2026. Office for National Statistics.Source ↗
- Skills England (2026). Skills England annual skills report 2026. GOV.UK.Source ↗
- Skills England (2026). Employability Skills Framework. GOV.UK.Source ↗
- Pam Brophy. Hero image: Arlington Business Park - geograph.org.uk - 2251.jpg. Wikimedia Commons · CC BY-SA 2.0.Image source ↗
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