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The future of performance management is not the end of formal reviews; it is a shift from treating one annual rating as the whole process to using regular feedback, adaptable objectives and development conversations throughout the year. Technology, including AI, can support that work, but managers still need to interpret evidence, explain decisions and take responsibility for outcomes.
What performance management includes
Performance management is the system an organisation uses to align work with its aims, support improvement and develop employees. It can include goal setting, ongoing feedback, learning and development, formal appraisals and ratings, and—in some workplaces—decisions about pay or promotion. An appraisal is one checkpoint within that broader system, not the system itself.
CIPD’s factsheet, dated 29 January 2026, describes performance management as a continuing cycle and covers these connected practices. The practical implication is that a review meeting works best when it reflects conversations and evidence gathered during the year, rather than introducing surprises.
What is changing
Feedback is becoming more regular
Guidance is moving away from annual-only appraisal and process-heavy forced ranking toward more frequent check-ins and timely, improvement-focused feedback. The right cadence depends on the work: a team managing rapidly changing projects may need to revisit goals more often than a team whose responsibilities are relatively stable. Regularity matters because it gives employees a chance to act on feedback while the work is still current.
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Gallup’s commentary on performance reviews argues that frequent, honest feedback can make formal progress reviews more consistent with what employees hear throughout the year. Gallup also estimates that, in its stated scenario involving 10,000 employees participating in performance evaluations, lost working hours can cost an organisation $2.4 million to $35 million annually. That is Gallup’s estimate for the scenario, not a general measured cost for every employer.
Objectives can change with priorities
Goals should give employees direction without becoming obsolete when business priorities shift. CIPD recommends that objectives evolve as priorities change. In practice, managers and employees can use check-ins to confirm what remains important, revise goals that no longer fit, and make clear what has changed and why.
Formal reviews still have a role
A scheduled review can provide a useful point to discuss progress, development needs and decisions that require a documented record. Its value depends on whether it draws on evidence and conversations gathered over time. If an organisation uses ratings or connects performance discussions to pay and promotion, it should be clear about how those administrative decisions relate to coaching and development; combining them without explanation can make feedback harder to trust.
How to design a system that fits
There is no universal best model. CIPD advises organisations to fit performance practices to their context, while SHRM frames performance management as a way to align employee performance with business objectives. A workable design should account for the organisation’s priorities, the nature of different roles and the time managers can devote to useful conversations.
- Choose a feedback cadence that suits the work. Set regular opportunities to discuss progress, and add check-ins when goals or circumstances change. Avoid treating a fixed schedule as a substitute for timely feedback.
- Keep objectives relevant. Agree on goals, revisit them when priorities move, and record material changes so employees understand what success now means.
- Separate purposes clearly. Explain when a conversation is primarily developmental and when it informs a rating, pay or promotion decision. If these purposes overlap, make the process and evidence explicit.
- Equip managers. Managers need the skills, time and relevant information to give constructive feedback and support improvement. A form or software workflow cannot supply context or accountability on its own.
- Make the process understandable and fair. Employees should know what information is considered, how decisions are made and how to raise concerns. Check whether the approach works across roles rather than assuming one method fits every team.
Where AI can help—and where it cannot
AI tools may assist with performance-management workflows, such as facilitating goal setting, organising feedback or supporting manager coaching. SHRM reports that 46% of organisations deploying AI tools for performance management use them to facilitate employee goal setting, citing its 2024 Talent Trends report. The figure describes reported use among organisations deploying these tools; it is not a share of all employers and does not establish that the tools improve performance.
SHRM’s discussion of AI coaching describes potential uses in continuous feedback, employee development and manager support. Those uses are most defensible when AI helps people notice information or organise a conversation, rather than making an opaque judgment about an employee.
Keep decisions human-led and reviewable
Automated recommendations can be biased, unfair or based on incomplete context. The same tools can also raise surveillance concerns if employees do not understand what data is collected and how it is used. Organisations considering AI should explain its role, audit for unfair outcomes and preserve human review of consequential decisions. Managers must be able to challenge an output and explain a decision in terms an employee can understand.
The available evidence also points to the importance of manager support when organisations introduce AI. In Gallup’s 2026 report, among US employees in organisations investing in AI, those who strongly agreed their manager actively supported AI use were 8.7 times as likely to strongly agree that AI transformed work, and 7.4 times as likely to strongly agree that AI created more opportunities to do what they do best. These are associations based on self-reported agreement, not causal estimates. Gallup also reports that fewer than a third of US employees in organisations implementing AI strongly agreed that their manager actively supported its use. The findings suggest that technology adoption is not just a software decision: employees’ experience of it is connected with how managers support its use.
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Technology use in work is not uniform. In its 2025 UK Good Work Index release, CIPD reported that 16% of employees said tasks had been automated using AI, typically repetitive tasks. This is a self-reported UK figure, not a global estimate or a measure of performance-management adoption.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What a useful future system looks like
A strong system does not have to eliminate ratings, annual reviews or technology. It should make each component serve a clear purpose: objectives orient work, timely feedback supports adjustment, development conversations build capability, and formal checkpoints help review progress and document decisions. The design succeeds when employees understand expectations, managers can support improvement, and the organisation can adapt the process to the work rather than forcing every team into an identical routine.
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