Information Technology Project Managers

Monitor or track project milestones and deliverables.

AI: Fully automatable - AI can fully automate monitoring and tracking of milestones and deliverables via integrated tooling, dashboards, and alerting systems.

Develop and manage work breakdown structure (WBS) of information technology projects.

AI: Fully automatable - AI can generate, maintain, and update a detailed WBS from project scope, dependencies, and templates and manage changes programmatically.

Prepare project status reports by collecting, analyzing, and summarizing information and trends.

AI: Fully automatable - AI can collect data from integrated sources, analyze trends, and produce comprehensive project status reports and visual summaries end-to-end given access to the data.

Establish and execute a project communication plan.

AI: Fully automatable - By 2025 AI can generate communication plans and automate execution (scheduling, notifications, tracking), so it can fully establish and run standard project communication plans.

Schedule and facilitate meetings related to information technology projects.

AI: Fully automatable - AI can fully automate scheduling and can facilitate meetings by preparing agendas, transcribing discussions, prompting actions, and producing summaries for many project meetings.

Perform risk assessments to develop response strategies.

AI: Fully automatable - AI can analyze project data, identify risks, quantify impacts, and generate response strategies at scale, making risk assessment and mitigation planning highly automatable.

Identify need for initial or supplemental project resources.

AI: Fully automatable - AI can analyze schedules, workloads, budget and progress to identify initial or supplemental resource needs and recommend resourcing plans automatically.

Develop implementation plans that include analyses such as cost-benefit or return on investment (ROI).

AI: Fully automatable - AI can perform quantitative cost-benefit and ROI analyses and generate detailed implementation plans from data and assumptions with high accuracy and reproducibility.

Manage project execution to ensure adherence to budget, schedule, and scope.

AI: Partial - AI can monitor budget/schedule/scope and recommend corrective actions, but it cannot fully perform stakeholder negotiation, leadership, and judgement required to manage execution end-to-end.

Develop or update project plans for information technology projects including information such as project objectives, technologies, systems, information specifications, schedules, funding, and staffing.

AI: Partial - AI can draft or update comprehensive project plans from inputs, templates, and constraints, yet final decisions about funding, staffing, and trade-offs require human approval.

Confer with project personnel to identify and resolve problems.

AI: Partial - AI can synthesize information, surface problems, and recommend solutions, but it cannot fully replace human conversations, negotiation, and relationship management needed to resolve issues.

Submit project deliverables, ensuring adherence to quality standards.

AI: Partial - AI can package deliverables and run automated quality checks, but ensuring subjective quality judgments and obtaining stakeholder acceptance typically requires human sign-off.

Direct or coordinate activities of project personnel.

AI: Partial - AI can support planning, reminders, and task coordination but cannot fully replicate the human authority and nuanced leadership required to direct personnel.

Assign duties, responsibilities, and spans of authority to project personnel.

AI: Partial - AI can recommend assignments based on skills and availability but cannot formally set responsibilities or spans of authority that require managerial judgment and organizational approval.

Initiate, review, or approve modifications to project plans.

AI: Partial - AI can initiate and review proposed plan modifications and recommend changes, but approvals normally require human accountability and formal sign-off.

Monitor the performance of project team members, providing and documenting performance feedback.

AI: Partial - AI can monitor performance metrics and draft or document feedback, but delivering sensitive performance feedback and managing personnel consequences requires human judgment.

Negotiate with project stakeholders or suppliers to obtain resources or materials.

AI: Partial - AI can prepare negotiation strategies, simulate outcomes, and automate communications, but complex stakeholder or supplier negotiations depend on human relationship management and contractual authority.

Coordinate recruitment or selection of project personnel.

AI: Partial - AI can coordinate sourcing, screening, and interview scheduling, but final selection and hiring decisions require human oversight and organizational approvals.

Identify, review, or select vendors or consultants to meet project needs.

AI: Partial - AI can screen, shortlist, and evaluate vendors against criteria automatically but cannot fully manage nuanced negotiations, legal vetting, and relationship factors that require human judgment.

Develop and manage annual budgets for information technology projects.

AI: Partial - AI can build, forecast, and monitor budgets using historical data and scenarios, but final budget setting, stakeholder negotiation, and approvals remain human-driven.

Assess current or future customer needs and priorities by communicating directly with customers, conducting surveys, or other methods.

AI: Partial - AI can run surveys, analyze feedback, and conduct large-scale sentiment analysis, but direct, trust-building customer interactions and interpreting ambiguous priorities often need humans.