AI can improve public speaking by giving speakers faster feedback, helping them structure ideas, rehearse privately, refine language, practise difficult scenarios, and reduce anxiety before facing a real audience. In a Toastmasters context, AI can be a powerful supplement to prepared speeches, Table Topics, evaluations, mentoring, and Pathways projects. However, it can also create dependency, generic speeches, reduced originality, shallow confidence, privacy risks, and weaker development if speakers outsource too much thinking, writing, and self-reflection. The best approach is not “AI versus Toastmasters”, but “AI before and between meetings, humans during and after meetings”. Use AI to rehearse more often, diagnose technical habits, and explore alternatives, but rely on real audiences, peer evaluators, mentors, and personal reflection to develop authenticity, judgement, emotional connection, and leadership presence.

Public speaking has always been an unusually human skill.

It is not only about words, slides, or polished delivery. It is about courage, presence, timing, empathy, judgement, and the ability to connect with people in the room.

That is why the rise of AI-powered speaking tools is both exciting and unsettling. On one hand, AI can now help us draft speeches, practise vocal delivery, analyse filler words, assess pacing, simulate difficult questions, and provide immediate feedback. On the other hand, public speaking is one of those skills where the struggle matters. The pause before speaking, the nervous first attempt, the imperfect table topic, the evaluator’s encouraging smile, and the audience’s real reaction are not inefficiencies to be automated away. They are part of the learning.

Toastmasters gives us a useful lens for this debate. Toastmasters International describes its education programmes as being built around experiential learning, peer feedback, and mentoring. Members practise by giving speeches, taking club roles, receiving supportive evaluation, and gradually building confidence through repetition.

AI does not replace that environment. Used wisely, it can strengthen it. Used carelessly, it can weaken the very muscles Toastmasters is designed to build.

The case for AI: more practice, faster feedback, lower fear

The strongest argument for AI in public speaking is simple: it gives speakers more opportunities to practise.

Many people do not struggle because they lack advice. They struggle because they do not practise often enough. A club meeting may happen weekly, fortnightly, or monthly. A mentor may not always be available. An evaluator only sees the final delivery, not the many hesitant drafts before it. AI changes that rhythm. A speaker can rehearse at midnight, record a speech five times, test different openings, and receive immediate observations before presenting to a real audience.

This is why the Toastmasters partnership with Yoodli was significant. Toastmasters announced in 2022 that it was partnering with Yoodli, an AI-powered public speaking platform, to provide speech preparation support. Toastmasters later described the tool as offering immediate analytical feedback on filler words, pace, eye contact, non-inclusive language, and other delivery signals.

Although the Toastmasters and Yoodli partnership ended in July 2025, it remains an important milestone in the evolution of public speaking. It demonstrated that even an organisation built on human interaction, peer evaluation, and experiential learning recognised that AI could complement, rather than replace, the learning journey.

The same trend is visible outside Toastmasters. Microsoft’s PowerPoint Speaker Coach provides real-time rehearsal feedback and a post-rehearsal report card. Microsoft says it can help speakers refine pacing and delivery during private rehearsal. OpenAI’s ChatGPT Voice Mode also makes it possible to practise conversationally, ask for critique, role-play an audience, or rehearse responses aloud.

For a nervous Toastmaster, this matters. Before giving an Ice Breaker speech, a member can practise privately with AI until the basic structure feels familiar. Those who find Table Topics daunting can rehearse with an endless variety of impromptu prompts, learning to organise their thoughts quickly and speak with greater confidence. Before a club contest, a speaker can test whether the speech is too fast, too wordy, or too dependent on slides. AI can reduce the fear of the first attempt.

The opposing view: public speaking is not a metrics game

The argument against AI is equally strong: what AI measures is not always what matters.

A speech can have excellent pacing, few filler words, and clean structure, yet still feel lifeless. Another speech may contain pauses, imperfections, and emotional vulnerability, yet move the audience deeply. Toastmasters members know this well. The best evaluator does not merely count “ums”. They listen for purpose, audience connection, clarity, courage, humour, sincerity, and growth.

This is where AI feedback can become dangerously narrow. It may encourage speakers to optimise for measurable habits rather than meaningful communication. A speaker may become obsessed with reducing filler words but ignore whether their message matters. They may improve eye contact statistics but fail to develop warmth. They may polish their grammar but lose their personal voice.

Recent research supports a balanced view. A 2025 study based on interviews and focus groups with public speaking experts found that AI tools were seen as useful for repetitive and technical aspects of training, but experts also highlighted the need for personalised, understandable, carefully selected feedback and strong instructional design. The researchers concluded that experts supported a hybrid model combining traditional coaching with AI-supported exercises.

That hybrid model fits Toastmasters perfectly. AI can count what humans may miss. Humans can interpret what AI cannot feel.

What AI changes compared with not using AI at all

Without AI, a speaker’s development is usually slower, more social, and more dependent on available feedback. This is not necessarily bad. Slower development can build resilience. Social feedback builds confidence in real conditions. Limited feedback forces speakers to reflect for themselves.

With AI, development becomes more continuous, more data-rich, and more experimental. Speakers can test multiple openings, practise vocal variety, refine speech structure, and simulate questions before stepping into the room. The cost of practice drops.

The difference is not merely speed. It is the type of skill being developed.

Without AI, speakers often develop through embodied experience: standing up, reading the room, recovering from mistakes, handling silence, and responding to human energy. With AI, speakers can develop through analytical iteration: record, review, adjust, repeat. Both are valuable. The danger comes when analytical iteration replaces embodied experience.

In Toastmasters terms, AI can help before the meeting, but it cannot fully recreate the meeting. It cannot reproduce the nervousness of standing before fellow members. It cannot replace the encouragement after a difficult speech. It cannot replace the learning that comes from serving as Toastmaster, Grammarian, Ah-Counter, Evaluator, or Table Topics master. Toastmasters meeting roles deliberately develop listening, vocabulary, timing, organisation, facilitation, and evaluation skills.

AI can prepare the speaker. Toastmasters form the communicator.

The skills AI can improve

AI is especially useful in five areas.

First, AI can improve speech structure. A speaker can use AI to test whether their message has a clear opening, logical flow, strong transitions, and a memorable conclusion. This is particularly useful for Toastmasters Pathways projects where members may be learning different speech purposes, such as informing, persuading, inspiring, or storytelling.

Second, AI can improve language clarity. It can help simplify dense sentences, remove jargon, suggest more vivid wording, and tailor a speech for different audiences. For speakers using English as an additional language, this can be especially helpful, as long as the speaker does not lose their own voice.

Third, AI can improve delivery awareness. Tools can flag pace, repeated words, filler words, and monotone delivery. These are not the whole speech, but they are useful signals.

Fourth, AI can support deliberate rehearsal. Instead of repeating the same speech passively, speakers can ask AI to focus on one skill per rehearsal: vocal variety, humour, storytelling, pauses, audience engagement, or stronger calls to action.

Fifth, AI can simulate pressure. Newer tools increasingly support role-play, mock interviews, sales conversations, and difficult conversations. Yoodli now describes itself as an AI roleplay platform for communication coaching, including practice for presentations, pitches, interviews, and high-stakes conversations.

This is particularly relevant for business speakers. A Toastmasters member preparing for a board presentation can rehearse hostile questions. A club officer can practise a difficult conversation with an absent member. An Area Director can practise club visit questions. A contestant can prepare for post-speech interviews.

The skills AI may weaken

The risk is not that AI makes people worse immediately. The risk is that it makes people appear better before they have truly grown.

There are at least five skills that may weaken if speakers rely too heavily on AI.

The first is original thinking. If AI generates the speech structure, examples, humour, title, and conclusion, the speaker may deliver something polished but not deeply owned.

The second is self-diagnosis. Toastmasters develops the ability to reflect: What worked? Where did I lose the audience? Did my story land? Did I speak with conviction? If AI always diagnoses the problem, speakers may stop developing their internal evaluator.

The third is improvisation. Table Topics is powerful because it forces members to think, organise, and speak in real time. If a speaker always practises with prepared AI-generated answers, they may become less comfortable with genuine uncertainty.

The fourth is authenticity. AI can make many speeches sound competent, but competence is not the same as presence. The audience wants the speaker, not a perfectly averaged version of internet language.

The fifth is courage. Public speaking confidence is not built only by reducing mistakes. It is built by surviving the moment, feeling the fear, speaking anyway, and discovering that the room is still with you.

This concern is consistent with broader research and commentary on generative AI. Studies and reports in 2025 and 2026 raised concerns that over-reliance on AI can reduce critical thinking effort, encourage reuse of AI suggestions, and weaken ownership of writing and reasoning tasks.

Public speaking has the same risk. If AI writes too much, edits too much, and judges too much, the speaker may not build the deeper capability underneath the performance.

The privacy and trust problem

There is another issue Toastmasters clubs should not ignore: speech data is personal.

A speech may include career stories, personal struggles, health experiences, family history, workplace conflict, leadership lessons, or unpublished business ideas. Uploading recordings to AI tools may expose sensitive content, depending on the tool’s privacy settings, retention rules, and training policies.

There are also a broader trust issue around synthetic voice and video. The EU’s 2026 Code of Practice on Transparency of AI-Generated Content supports AI Act obligations around marking and labelling AI-generated content, including deepfakes and certain AI-generated publications, with transparency obligations applying from 2 August 2026. The fact that regulators are focusing on AI-generated content transparency shows that synthetic speech and media are no longer fringe concerns.

For speakers, this matters in two ways. First, do not casually upload sensitive speeches, confidential work examples, or personal stories into tools without checking the terms. Second, be transparent when AI meaningfully contributes to public material, especially if it generates synthetic voice, video, or a substantial part of the message.

In a Toastmasters environment, the norm should be simple: AI may help you prepare, but the speech should still be yours.

How Toastmasters clubs can use AI well

Toastmasters clubs do not need to ban AI. They need norms that preserve human growth.

A practical approach is to treat AI as a rehearsal assistant, not a ghostwriter.

Before a speech, a member might use AI to clarify their objective, test structure, remove unnecessary complexity, and rehearse delivery. During the speech, the member must stand on their own. After the speech, the member should compare three forms of feedback: their own reflection, AI observations, and human evaluation.

That comparison is where real learning happens.

If the AI says the pace was too fast, but the evaluator says the energy was engaging, the speaker learns judgement. If the AI says the speech had too many pauses, but the audience says the pauses created emotional impact, the speaker learns nuance. If the evaluator says the message lacked a clear point, and AI says the structure was coherent, the speaker learns that coherence is not the same as meaning.

Clubs could also create an “AI-assisted speech reflection” format. After giving a speech, the member can answer:

1. What did I create myself?
2. Where did AI help me?
3. What feedback did AI give?
4. What feedback did my evaluator give?
5. What will I practise next without AI?

This keeps AI visible but subordinate to human learning.

How individual speakers can manage the risks

The safest principle is to use AI to strengthen effort, not avoid effort.

Use AI after you have formed your own idea. Write your rough message first, even if it is messy. Then ask AI to challenge it, not replace it. Ask: “What is unclear?” “Where might the audience disagree?” “Which part feels generic?” “What questions might I receive?” This turns AI into a thinking partner rather than a speech factory.

Use AI for one skill at a time. One rehearsal for pace. One for pauses. One for vocal variety. One for audience questions. Trying to optimise everything at once creates a mechanical speaker.

Keep a human feedback loop. For every AI-assisted rehearsal, seek at least one human response. A mentor, evaluator, fellow club member, or trusted friend will notice things AI may miss: warmth, sincerity, courage, emotional resonance, and whether the speech sounds like you.

Practise some speeches without AI. This is especially important for Table Topics, storytelling, and personal reflection speeches. Speakers need unassisted speaking time to build fluency and confidence.

Protect sensitive material. Avoid uploading speeches containing confidential workplace information, private family stories, client details, unpublished intellectual property, or anything you would not be comfortable storing outside your control.

Declare meaningful AI use when appropriate. In a club setting, this does not need to be bureaucratic. A speaker might simply say, “I used AI to help me rehearse the timing and test possible audience questions, but the story and message are mine.”

A useful distinction: AI-polished versus AI-developed

The real question is not whether AI was used. The question is whether the speaker developed.

An AI-polished speaker may sound smoother, but remain dependent. They may need AI to start, structure, edit, rehearse, and recover.

An AI-developed speaker uses AI differently. They become more aware of their habits. They practise more often. They compare feedback sources. They become more reflective. Over time, they need less help, not more.

That should be the benchmark for Toastmasters members. AI should not make us permanently dependent. It should help us become more capable when AI is absent.

Becoming a Better Speaker, Not Just Better Speeches

The future of public speaking is not human-only or AI-led. It is human-led, AI-assisted.

AI is excellent for repetition, analysis, private rehearsal, language refinement, and simulation. Toastmasters is excellent for courage, presence, feedback, community, leadership, humour, vulnerability, and human connection.

The danger is not using AI. The danger is using AI to bypass the discomfort that creates growth.

A speaker who never uses AI may miss useful opportunities to practise and improve faster. A speaker who relies too much on AI may become polished without becoming resilient. The wise speaker uses AI as a mirror, not a mask.

For Toastmasters, this is an opportunity. Clubs can become places where members learn not only how to speak, but how to use AI responsibly in communication. That is a modern leadership skill. In business, public life, education, and community leadership, future communicators will need to know when to accept AI feedback, when to challenge it, when to disclose it, and when to put it away.

The best speakers of the AI era will not be those who sound most like AI. They will be those who use AI to become more fully themselves.

Written by Alex Tjahjana

architect | coder | azure + aws | .net | well-architected | risk management | governance | devops | IaC | finops | dad | tango dancer