Business & Administrative Studies:
Graduate Destinations & the AI Transformation

Where graduates go, and how artificial intelligence is reshaping those destinations — evidence from What Do Graduates Do? 2025/26 and McKinsey's Superagency in the Workplace.

Source: What Do Graduates Do? 2025/26 (Prospects/HESA)
Source: McKinsey Superagency in the Workplace, January 2025
BAS cohort: ~21,700 graduates across 5 subjects
Landscape

Five BAS Disciplines at a Glance

Economics
4,480
60.1% full-time · £36,100 avg salary (M) · 6.3% unemployed
Finance & Accountancy
4,575
57.5% full-time · 23.0% in clerical roles ⚠ · 7.3% unemployed
Business & Management
8,825
62.4% full-time · broadest destination spread · 6.3% unemployed
Hospitality / Tourism / Transport
1,675
60.8% full-time · 7.2% unemployed (highest BAS)
Marketing
2,160
66.4% full-time (highest BAS) · 51.0% in marketing roles · 6.7% unemployed
Full-time employment rate — all 5 disciplines vs national average (56.4%)
Employment outcomes breakdown — all five disciplines (%)
Work-type concentration by discipline — business/finance roles, marketing/sales, clerical, and retail/catering (%)

"Achieving AI superagency is not simply about mastering technology. It is every bit as much about supporting people, creating processes, and managing governance."

— McKinsey, Superagency in the Workplace, January 2025
3×
More employees use gen AI than their C-suite leaders estimate
$4.4T
McKinsey's estimate of corporate AI productivity potential
92%
Of companies plan to increase AI investment over next 3 years
47%
Of employees expect AI to replace 30%+ of their work within a year
1%
Of companies describe their AI deployment as "mature"
Five Disciplines

Graduate Destination Data & AI Disruption by Subject

Total Responses
4,480
F: 1,280 / M: 3,200
Working Full-Time
60.1%
Part-time: 6.5% · W&S: 6.8%
Unemployed
6.3%
Further study: 14.8% · Other: 5.4%
In Biz/HR/Finance Roles
61.2%
Highest professional concentration in BAS
Avg Salary (Male)
£36,100
Highest average starting salary across all BAS
Type of work — Economics (n = 3,250 in UK employment)
Business, HR & finance professionals
61.2%
Clerical, secretarial & numerical clerks
11.7%
Marketing, PR & sales professionals
5.7%
Retail, catering & bar staff
5.5%
Managers
3.9%
IT professionals
3.8%
Legal, social & welfare professionals
1.1%
Education professionals
1.1%
Top 10 professional jobs — AI role disruption risk
High role likely automated or significantly transformed Med role changes but human remains central Lower human value hard to replicate
  • 01Finance & investment analysts and advisersHigh
  • 02Chartered & certified accountantsHigh
  • 03Actuaries, economists & statisticiansMed
  • 04Management consultants & business analystsMed
  • 05Data analystsHigh
  • 06Taxation expertsHigh
  • 07Business sales executivesMed
  • 08Financial accounts managersHigh
  • 09BrokersMed
  • 10Business associate professionalsMed
AI disruption mapped — Economics
The tags above show the risk level for each specific job title. These bars show how much AI is disrupting each task or function within those jobs — because a role rated "Med" may still contain individual tasks at very high risk of automation.
Finance & investment analysis
88%
Taxation & compliance work
85%
Data analysis & statistical modelling
74%
Chartered accountancy work
76%
Management consulting
62%
Actuarial & statistical work
55%
Sales & business development
48%
High (>70%) Moderate (50–70%) Lower (<50%)
Urgency: Immediate. Top 5 graduate roles (finance analysis, accountancy, data analysis, taxation, financial accounts management) all sit in the highest-potential AI functions per McKinsey.
Total Responses
4,575
F: 1,640 / M: 2,930
Working Full-Time
57.5%
Part-time: 6.4% · W&S: 8.1%
Unemployed
7.3%
Further study: 18.1% · Other: 2.6%
In Clerical Roles ⚠
23.0%
Highest clerical rate of any BAS subject
Prof. Qual. in Further Study
64.8%
Of 950 in further study — highest in BAS
Type of work — Finance & Accountancy (n = 3,380 in UK employment)
Business, HR & finance professionals
53.5%
⚠ Clerical, secretarial & numerical clerks
23.0%
Retail, catering & bar staff
7.1%
Managers
3.8%
Marketing, PR & sales professionals
2.9%
Education professionals
1.3%
IT professionals
1.3%
Top 10 professional jobs — AI role disruption risk
High role likely automated or significantly transformed Med role changes but human remains central Lower human value hard to replicate
  • 01Chartered & certified accountantsHigh
  • 02Finance & investment analysts and advisersHigh
  • 03Taxation expertsHigh
  • 04Management consultants & business analystsMed
  • 05Financial accounts managersHigh
  • 06Actuaries, economists & statisticiansMed
  • 07Business sales executivesMed
  • 08BrokersMed
  • 09Data analystsHigh
  • 10Financial managers & directorsMed
AI disruption mapped — Finance & Accountancy
The tags above show the risk level for each specific job title. These bars show how much AI is disrupting each task or function within those jobs — because a role rated "Med" may still contain individual tasks at very high risk of automation.
Numerical clerks & data entry (23% of graduates)
94%
Standard tax computation & compliance
85%
Routine financial reporting & reconciliation
82%
Standard accountancy & audit work
76%
Financial analysis (AI drafts, human reviews)
62%
Brokerage & client advisory
48%
High (>70%) Moderate (50–70%) Lower (<50%)
Urgency: Immediate. 23% of employed graduates are in clerical roles — the category with the highest AI automation score (94%). McKinsey documents agentic AI completing these workflows autonomously in 2025.
Total Responses
8,825
F: 4,115 / M: 4,710 — largest BAS cohort
Working Full-Time
62.4%
Part-time: 9.7% · W&S: 10.4%
Unemployed
6.3%
Further study: 2.9% · Other: 8.3%
In Marketing/Sales
16.4%
High AI disruption category
In Management Roles
12.2%
Broad leadership entry route
Type of work — Business & Management (n = 6,230 in UK employment)
Business, HR & finance professionals
23.2%
Marketing, PR & sales professionals
16.4%
Clerical, secretarial & numerical clerks
13.2%
Managers
12.2%
Retail, catering & bar staff
10.4%
Engineering & building professionals
5.0%
IT professionals
3.1%
Education professionals
2.5%
Top 10 professional jobs — AI role disruption risk
High role likely automated or significantly transformed Med role changes but human remains central Lower human value hard to replicate
  • 01Advertising & marketing associate professionalsHigh
  • 02Business sales executivesMed
  • 03HR & industrial relations officersMed
  • 04Chartered & certified accountantsHigh
  • 05Finance & investment analysts and advisersHigh
  • 06Management consultants & business analystsMed
  • 07Sales accounts & business development managersMed
  • 08Business & financial project managementMed
  • 09Managers & directors in retail and wholesaleLower
  • 10Chartered surveyorsLower
AI disruption mapped — Business & Management
The tags above show the risk level for each specific job title. These bars show how much AI is disrupting each task or function within those jobs — because a role rated "Med" may still contain individual tasks at very high risk of automation.
Marketing content & campaigns (16.4%)
88%
Clerical & numerical work (13.2%)
80%
HR screening & recruitment
56%
Management consulting
62%
Sales & business development
48%
Strategic management & leadership
28%
High (>70%) Moderate (50–70%) Lower (<50%)
Urgency: Medium. Broadest spread of any discipline — multiple categories disrupted at different rates. Management and leadership roles remain more resilient; marketing and clerical are immediately affected.
Total Responses
1,675
F: 1,040 / M: 635
Working Full-Time
60.8%
Part-time: 9.9% · W&S: 5.9%
Unemployed ⚠
7.2%
Highest unemployment across all BAS · Other: 14.0%
In Retail/Catering Roles
15.8%
Highest retail/catering rate in all BAS
In Clerical Roles
19.2%
Second highest clerical rate in BAS
Type of work — Hospitality, Tourism & Transport (n = 1,145 in UK employment)
⚠ Clerical, secretarial & numerical clerks
19.2%
Business, HR & finance professionals
17.9%
⚠ Retail, catering, waiting & bar staff
15.8%
Marketing, PR & sales professionals
11.6%
Managers
8.8%
Other professionals & technicians
8.7%
Other occupations
5.3%
Education professionals
2.7%
Top 10 professional jobs — AI role disruption risk
High role likely automated or significantly transformed Med role changes but human remains central Lower human value hard to replicate
  • 01Events managers and organisersLower
  • 02Advertising & marketing associate professionalsHigh
  • 03Aircraft pilots and air traffic controllersLower
  • 04Business sales executivesMed
  • 05Sports coaches, instructors and officialsLower
  • 06HR & industrial relations officersMed
  • 07Hotel & accommodation managers and proprietorsMed
  • 08Restaurant & catering establishment managersMed
  • 09Leisure & sports managers and proprietorsLower
  • 10Public relations professionalsHigh
AI disruption mapped — Hospitality, Tourism & Transport
The tags above show the risk level for each specific job title. These bars show how much AI is disrupting each task or function within those jobs — because a role rated "Med" may still contain individual tasks at very high risk of automation.
Booking & reservation management
88%
Clerical & numerical clerks (19.2%)
82%
Retail, catering & bar roles (15.8%)
72%
Marketing & PR content work
70%
Revenue management (AI optimises, human oversees)
62%
Events planning & coordination
42%
High-touch guest experience design
22%
High (>70%) Moderate (50–70%) Lower (<50%)
Urgency: High. Dual exposure: 19.2% in AI-disrupted clerical roles + 15.8% in automation-threatened retail/catering + highest BAS unemployment (7.2%). Curriculum realignment is urgent.
Total Responses
2,160
F: 1,260 / M: 900
Working Full-Time
66.4%
Highest full-time rate of all BAS · W&S: 11.3%
Unemployed
6.7%
Part-time: 6.0% · Further study: 2.3% · Other: 7.2%
In Marketing/PR/Sales
51.0%
Highest single-category concentration in all BAS
In Retail/Catering
12.2%
Significant underemployment indicator
Type of work — Marketing (n = 1,570 in UK employment)
Marketing, PR & sales professionals
51.0%
Retail, catering, waiting & bar staff
12.2%
Business, HR & finance professionals
10.3%
Clerical, secretarial & numerical clerks
9.2%
Managers
5.4%
IT professionals
2.1%
Arts, design & media professionals
1.6%
Education professionals
1.3%
Top 10 professional jobs — AI role disruption risk
High role likely automated or significantly transformed Med role changes but human remains central Lower human value hard to replicate
  • 01Advertising & marketing associate professionalsHigh
  • 02Public relations professionalsHigh
  • 03Business sales executivesMed
  • 04Marketing and commercial managersMed
  • 05Sales accounts & business development managersMed
  • 06HR & industrial relations officersMed
  • 07Managers & directors in retail and wholesaleLower
  • 08Events managers and organisersLower
  • 09Buyers and procurement officersMed
  • 10Database administrators & web content techniciansHigh
AI disruption mapped — Marketing
The tags above show the risk level for each specific job title. These bars show how much AI is disrupting each task or function within those jobs — because a role rated "Med" may still contain individual tasks at very high risk of automation.
Content creation, SEO & campaigns (51%)
88%
PR copy & press release generation
79%
Customer segmentation & targeting
78%
Campaign performance analysis
68%
Sales support & lead generation
55%
Brand strategy & creative direction
25%
Influencer & stakeholder relationships
18%
High (>70%) Moderate (50–70%) Lower (<50%)
Urgency: High. 51% of graduates in roles where AI is already automating core daily tasks. McKinsey identifies sales & marketing as having the single highest AI economic potential ($0.86T) of any corporate function.
Analysis

AI Disruption — Cross-Discipline View

"AI does not just automate tasks but goes further by automating cognitive functions. Unlike any invention before, AI-powered software can adapt, plan, guide — and even make — decisions."

— McKinsey, Superagency in the Workplace, January 2025
AI disruption index — graduate role categories, all 5 BAS subjects
Numerical clerks & data entry
94%
Booking & reservation management
88%
Marketing content creation & campaigns
88%
Taxation & compliance work
85%
Financial analysis & reporting
82%
PR & press release generation
79%
Standard accountancy & audit work
76%
Data analysis & statistical modelling
74%
Revenue & yield management (Hosp.)
62%
Management consulting & business analysis
62%
HR screening & recruitment
56%
Sales & business development
48%
Events planning & logistics
42%
Strategic leadership & vision
28%
Ethical AI governance & oversight
16%
High (>70%) Moderate (50–70%) Lower (<50%)
Urgency index — AI disruption risk by discipline
Finance & Accountancy
23.0% in structurally at-risk clerical roles; top 5 jobs all High/Med AI-disruption
Immediate
Economics
Top roles (finance analysis, data analysis, taxation) are McKinsey's highest-potential AI functions
Immediate
Marketing
51.0% in marketing/PR/sales; AI already automating core daily tasks across the category
High
Hospitality / Tourism / Transport
Dual exposure: 19.2% clerical + 15.8% retail/catering + highest BAS unemployment (7.2%)
High
Business & Management
Marketing (16.4%) and clerical (13.2%) both disrupted; management roles more resilient
Medium
Composite AI disruption score by discipline
Full type-of-work comparison — colour-coded by AI disruption risk (all 5 disciplines, % of those in UK employment)
Work category AI risk Econ Fin & Acc. Biz & Mgmt Hospitality Marketing
Business, HR & finance professionalsHigh61.2%53.5%23.2%17.9%10.3%
Clerical, secretarial & numerical clerksVery High11.7%23.0%13.2%19.2%9.2%
Marketing, PR & sales professionalsHigh5.7%2.9%16.4%11.6%51.0%
ManagersMedium3.9%3.8%12.2%8.8%5.4%
Retail, catering, waiting & bar staffHigh5.5%7.1%10.4%15.8%12.2%
IT professionalsHigh3.8%1.3%3.1%0.9%2.1%
Engineering & building professionalsMedium1.4%1.2%5.0%0.5%0.9%
Education professionalsLower1.1%1.3%2.5%2.7%1.3%
Legal, social & welfare professionalsLower1.1%0.4%1.9%1.2%0.7%
Arts, design & media professionalsHigh0.6%0.3%1.1%0.6%1.6%
Other professionals & techniciansMedium1.3%0.8%2.2%8.7%0.5%
Skilled trades & vocationalMedium0.6%0.5%1.9%3.3%1.2%
High risk concentration Moderate risk concentration Lower risk
What changes, what survives — disruption matrix across all five BAS subjects

High disruption — automated now or imminently

All disciplines: Data entry, reconciliation, standard financial reporting, compliance checklists, invoice processing.

Economics/Finance: Tax computation, investment data processing, standard credit assessment, routine audit tasks, financial accounts management.

Marketing: Content generation, SEO copy, email campaigns, social posts, A/B testing, customer segmentation.

Hospitality: Booking management, customer query handling, reservation confirmations, standard pricing calculations.

Medium disruption — roles transform significantly

Economics/Finance: Financial analysis (AI drafts, human reviews and contextualises), actuarial modelling (AI builds, human validates assumptions), consulting (AI generates options, human frames and presents).

Business & Mgmt: HR screening (AI filters, human decides), project tracking, campaign strategy direction.

Hospitality: Revenue management (AI optimises, human manages experience), event coordination logistics.

Lower disruption — human value remains central

All disciplines: Ethical governance and accountability for AI decisions, strategic vision-setting, complex stakeholder negotiation, organisational change leadership, crisis handling.

Economics: Novel policy advice, complex geopolitical risk judgement.

Hospitality: High-touch guest experience, relationship-based revenue management.

Marketing: Brand strategy, cultural insight, creative direction, influencer relationship management.

46%
Of business leaders cite skill gaps as significant barrier to AI adoption
67%
Employee trust in universities to deploy AI responsibly
170M
New jobs projected globally by 2030, requiring new skills (WEF 2025)
2.4×
More likely C-suite blames employees than own leadership failures for slow AI adoption
Response

The University Imperative — All Five BAS Disciplines

"The risk for business leaders is not thinking too big about AI, but thinking too small."

— McKinsey, Superagency in the Workplace, January 2025
Five imperatives — curriculum transformation across all BAS disciplines
01
Reframe AI Literacy as a Core Professional Competency
Not an elective. Every BAS graduate needs to understand what AI can and cannot do in their domain — how LLMs handle financial documents, how AI generates marketing content, how booking AI works in hospitality. This is a baseline, not a module.
02
Embed Data & AI Governance in Core Curricula
Finance: legal accountability for AI decisions. Marketing: data privacy and targeting ethics. Hospitality: AI pricing ethics. Economics: algorithmic policy implications. Governance is discipline-specific, not generic digital skills.
03
Elevate Human Skills AI Cannot Replicate
Judgement, ethical reasoning, stakeholder management, creative direction, change leadership. McKinsey identifies these as the non-technological factors that determine AI deployment success. Business programmes must stop treating them as "soft".
04
Embed AI Tools in Live Practice
Finance: AI-assisted audit and modelling that students must challenge and critique. Marketing: AI content pipelines with human creative direction. Hospitality: AI revenue management tools. Economics: AI-generated analysis students must evaluate. The tool is the curriculum.
05
Prepare Graduates for the Leadership Challenge
McKinsey's core finding: the bottleneck is leadership, not technology or employees. All five BAS disciplines must produce graduates who can develop AI roadmaps, align organisations on AI strategy, govern ethically, and make bold commitments. This is what employers need most.
Curriculum gap analysis — current provision vs. employer requirement
McKinsey: employee trust to deploy AI responsibly (%)
Universities rank second only to employers in employee trust for responsible AI deployment (67%). This represents both credibility and a clear mandate to lead — graduates expect their university education to prepare them for the AI-transformed workplace.
67%
Employee trust in universities — institutions have the credibility and mandate to act now
5
BAS disciplines — each with a distinct disruption profile requiring tailored response
21K+
BAS graduates per year — every one entering AI-disrupted sectors
Data: What Do Graduates Do? 2025/26 (Prospects/HESA)  ·  Superagency in the Workplace (McKinsey, January 2025)  ·  WEF Future of Jobs Report 2025