McKinsey & Company
WORKFORCE OF THE FUTURE
ARNE GAST
Partner, Leader of McKinsey's Organization Practice in Asia Pacific (McKinsey & Company, Malaysia)
Harnessing automation for a more productive and skilled workforce - - PowerPoint PPT Presentation
WORKFORCE OF THE FUTURE A future that works: Harnessing automation for a more productive and skilled workforce TUESDAY, 25 JUNE 2019 | 11.15AM ARNE GAST Partner, Leader of McKinsey's Organization Practice in Asia Pacific (McKinsey &
McKinsey & Company
WORKFORCE OF THE FUTURE
Partner, Leader of McKinsey's Organization Practice in Asia Pacific (McKinsey & Company, Malaysia)
McKinsey & Company 2
1 Excluding outliers and companies with negative net income; constant 2004 dollars 2 Includes the following industries: Utilities, Financial Institutions, Information Technology, Healthcare, Automobile and components, Commercial and Professional Services, Real Estate and Energy
200 100 300 700 600 400 500 150 50 100 200 250 300 Employees Thousands Net income/employee (financial) Top 300 firms by MV2 USD thousands 100 500 200 300 400 50 100 150 200 250 300 Employees Thousands Net income/employee (performance)1 Top 150 firms by MV USD thousands 400 300 100 200 500 50 100 150 200 250 300 Employees Thousands Net income/employee (performance)1 Top 150 firms by MV USD thousands
Source: Lowell L. Bryan and Claudia I. Joyce. “Mobilizing Mind” (2007) – updated 2017
McKinsey & Company 3
McKinsey & Company 4
McKinsey & Company 5
64 58 55 53 53 50 47 44 44 44 43 41 40 40 39 38 37 36 31 Agriculture, forestry, fishing and hunting Construction
Oil & Gas
Retail trade Manufacturing Accommodation/food services Transportation/warehousing Mining Finance/insurance Utilities Real estate/rental and leasing Other services Information Arts/entertainment/recreation Administrative/support/waste management Professional, scientific, and technical services Health care/social assistance Management of companies/enterprises Educational services
FTE weighted % of technically automatable activities 1, (%)
1 We define automation potential by the work activities that can be automated by adapting currently demonstrated technology
have close to
automatable..
have
automatable
...yet less then 10% of jobs are full automatable
Source: McKinsey Global Institute Global Automation Impact Model; McKinsey Global Institute analysis
Activities are automatable across industries…
McKinsey & Company 6
Implications
New and more complex analytical methods required to maximize the value of large data AI to interpret seismic images, improving hit rate and removing human error Advanced Analytics Higher-level, uniquely human cognitive abilities become the differentiator as lower value tasks are automated Next generation BIM models significantly reduces engineering hours Eliminate the need for human intervention in non-decision making functions through artificial intelligence, machine vision Augmented reality to provide training on complex procedures (advanced simulation) Robotics Completely new, agile business models – enabled by digitization lowering distribution and transaction costs Data sharing allows for supplier to take an end-to-end responsibility Process digitization
Source: McKinsey Organization in Oil & Gas Service Line Technological trends
Business model innovation Design thinking skills required for integrated planning and coordination with supplies, reducing CAPEX Digital enables working closer with suppliers with fewer inefficient interfaces Production increased through optimization and automated production controls Autonomous pipeline inspections using submarine drones Digital and Technical (i.e. robotics, programming) skills become ‘core’ as technological solutions replaces manual labor Robotic handling of hazardous activities (e.g. pipe handling) Real-time advanced analytics models
Reduced exploration costs by less need for manual analytics work
McKinsey & Company 7
14 19 14 17 20 21 11 9 43 34 2016 2030
Percent hours worked, Energy sector
Source: McKinsey Global Institute analysis
McKinsey & Company 8
Note: Skill clusters were computed based on global LinkedIn database. Skill clusters were then mapped to job roles. Transitions between job roles suggested based on similarity of skills.
Shortcut Shortcut
Source: McKinsey People Analytics
McKinsey & Company
Alabama Arkansas Arizona California Colorado Connecticut Florida Georgia Iowa Idaho Illinois Indiana Kansas Kentucky Louisiana Massachusetts Maine Michigan Minnesota Missouri Mississippi Montana North Carolina North Dakot a Nebraska New Hampshire New Mexico Nevada New York Ohio Oklahoma Oregon Pennsylvania South Carolina South Dakota Tennessee Texas Utah Virginia Vermont Washington Wisconsin West Virginia Wyoming Washington, DC Delaware Maryland New Jersey Rhode Island
PeerCo PeerCo ClientCo
McKinsey & Company 10
How do I adjust my volume & variety of skill- hours? SHORTAGE: How do I close a skill gap? I will... OVERAGE: How do I address a skill source I no longer need? I will… ACQUIRE new, in-house workers that are ready… Today, by… Tomorrow, by… BUILD upon existing workforce via… RENT new, external workers through… RELEASE workers by… REDEPLOY workers I do not need but cannot release, by… GROW by… A B C D E F
Areas of interventions
5. Acqui-hire entire organizations 6. Recruit ready-now individuals 7. Rent-to-acquire individuals 8. Create and recruit from new pools of potential hires 9. Recruit for intrinsic and building skills needed 1. Reskill existing employees 2. Upskill existing employees 3. Retain employees with scarce skills 4. Reshape jobs and projects to focus scarce skillsets on key work
Levers
McKinsey & Company 11
Analytical Core One source of truth
Advanced analytics Modelling scenarios for FTEs and cost Quantitative decision-making Reskilling Domino Skill Plan Bootcamps Digital Learning Skill-out Plans Partnerships Insource Carve out Recruiting engines Job partners Placement Engine Matching supply and demand Internal job database External job database Online skills matching Global talent recruitment Physical space for counseling Communication Strategy Internal communication Brand building to employers Story to the media Workforce management Management Dashboards Annual dynamic KPI setting to reach targets Tracking of automation and productivity initiatives
Aspiration Purpose of the Mobility Center Scope of the Mobility Center Ultimate KPIs and milestones Lean structure P&L for mobilizing people
McKinsey & Company 12
Release Recruit, rent
Overseas
micro-credentialing
(e.g. Massive Open Online courses)
labour
retraining, upskilling
exchanges between orgs
Businesses +
Other influencers and enablers Labour market (skills matching)
Training, upskilling
Not in workforce Educational institutions
Government Social sector Unions
McKinsey & Company 13
McKinsey & Company 14
14
McKinsey & Company
McKinsey & Company 15