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May 14, 2026

The latest stories and perspectives from a budget that broke the rules

What 71 stories, 400+ perspectives, and 50 million audience impressions reveal about the media narratives shaping the 2026–27 Federal Budget.


The 2026–27 Federal Budget was released on 12 May and included some of the most ambitious policy changes in years. 

Labor Treasurer Jim Chalmers described it as a budget of ‘reform and resilience’, and the media coverage that followed reflected just how much there was to unpack.

We used Lumina, our AI-powered media intelligence suite, to surface the biggest stories, map different perspectives, and identify the key drivers behind each narrative. This clustered over 48 hours before and after the Budget into 71 different stories, more than 400 perspectives and the total audience reach topped 50 million cumulative views. 

Below are the five stories that stood out, what the different perspectives tell us, and what communicators should be watching out for.

Key stories at a glance

Property Tax Reform — Two evenly matched perspectives: affordability for buyers vs. reduced housing supply. Key drivers: Anthony Albanese, Jim Chalmers, Master Builders Australia, Property Council

The Policy Reversal — Government says circumstances changed; opposition says trust was broken. Key drivers: Angus Taylor, Bill Shorten, Peta Credlin, Sean Kelly

NDIS Changes — Sustainability concerns meet advocacy from families and disability organisations. Key drivers: Katy Gallagher, People with Disability Australia, ACOSS

Market Reaction — Investors moved ahead of the speech; banks fell, miners rose. Key drivers: BHP, CSL, DroneShield, Tony Sycamore (IG)

Small Business Support — Permanent write-off welcomed, but owners want more help with rising costs. Key drivers: Jim Chalmers, CPA Australia, Xero

Australia’s biggest property tax change in a generation

The centrepiece of this budget was a major overhaul of property investment tax. It was the most covered story of the night, and the perspectives on the announcement were split right down the middle.

The Government positioned the reforms as a step toward fairness. Negative gearing will be restricted to newly built properties from July 2027, and the 50% CGT discount will be replaced with an inflation-indexed model. 

Furthermore, a 30% minimum tax will now apply to distributions from discretionary trusts. Treasurer Jim Chalmers and Prime Minister Anthony Albanese reiterated that these changes will aid a projected 75,000 Australians to buy their first home over the next decade. This perspective accounted for about 50% of coverage across the story (ABC Online).

Industry groups like the Master Builders Australia and the Property Council warned the changes would reduce new housing supply by 35,000 homes, push up rents, and discourage investment. 

These perspectives made up approximately 50% of total coverage. That near-perfect split is notable. In most policy debates, one side tends to lead in terms of coverage, yet here, the two perspectives are running neck and neck 

That balance tells us the debate around these reforms is far from settled. Neither side has won the narrative.

Why it matters for communicators: This is going to be a long-running conversation. Both sides have credible data. If your organisation has a stake in property, construction, or financial services, now is the time to develop your position and prepare for sustained engagement.

The policy reversal and what it means for trust

Behind that policy detail, however, was a more political story. The government had made promises before the 2025 election that it would not change negative gearing or CGT. This budget announcement made changes to both policies, and the coverage explored what that means.

The Government’s explanation around the changes took up about 43% of coverage. Previous Labor Minister and now Vice-Chancellor of the University of Canberra, Bill Shorten argued that the housing situation had worsened since the election ,and the government had a responsibility to act. Unsurprisingly, Prime Minister Anthony Albanese held the same position. In his interviews, Shorten pointed to the earlier redesign of the stage three tax cuts as an example of a policy change that voters ultimately accepted.

Political commentators offered an analytical view, making up about 40% of coverage. Former Labor adviser Sean Kelly and others noted that the fallout from changing a position depends on context, and that history offers examples of both successful and costly reversals.

The opposition’s framing accounted for about 18% of coverage so far, as we wait for their formal response to the Budget next week. Liberal leader Angus Taylor and his colleague Michaelia Cash described the move as a trust issue. A leaked government document giving Labor MPs talking points to explain the change added another dimension to the story (The Australian).

Why it matters for communicators: Past commitments stay in the public record. For communicators working on policy-related messaging, it’s worth thinking about how your stakeholders weigh trust against outcomes, especially as this story continues to develop.

NDIS changes spark a deeply personal conversation

The NDIS story stood out in Budget coverage for a different reason. It was one of the most emotionally resonant conversations of the night.

The government framed its changes as essential for the scheme’s long-term sustainability, and this perspective made up about 58% of coverage. Ministers pointed to cost growth and fraud as reasons to tighten eligibility, with the Fraud Fusion Taskforce positioned as the mechanism to protect genuine participants while saving $37.8 billion over four years (Sydney Morning Herald).

Disability advocacy groups responded with concern, accounting for about 42% of coverage. Organisations like People with Disability Australia highlighted that over 160,000 participants could be affected, many of them children. 

The Australian Council of Social Services (ACOSS) noted the budget also lacked additional support for people on income support. By budget night, advocacy groups had organised a press conference and gathered more than 13,000 petition signatures. This was a story where the personal weight of the coverage mattered more than the volume. 

Why it matters for communicators: Personal stories and advocacy will shape this conversation more than policy. If you work in health, disability, or social services, this is one to monitor closely and maintain the human element in the approach.

The market moved before the speech

One of the more interesting stories of budget day was how the share market reacted before the Treasurer even stood up to speak.

The ASX 200 fell across the day. Banks were under pressure because of their exposure to residential mortgages, with analysts pointing to the risk of falling property prices if the tax reforms reduced investor demand. 

Rising oil prices from the Middle East added to the mood (NEWS.com.au). And earlier in the week, Australian stock market stalwart CSL dropped over 16% on a separate profit warning, dragging the healthcare sector with it.

But mining stocks went in the opposite direction, with BHP hitting a record high on strong commodity prices for copper and iron ore. Different parts of the economy were reading the same budget in very different ways.

Why it matters for communicators: When investors move before an announcement, it tells you the narrative is already established. For organisations with listed exposure or investor-facing communications, the property reform story is one to address proactively.

Small business: welcome news, but not the whole answer

Making the $20,000 instant asset write-off permanent was a positive headline, but the coverage revealed a gap between the announcement and business owners’ lived experience.

The government’s framing dominated, making up about 75% of coverage. The write-off sat alongside a broader $3.5 billion tax relief package, which Treasurer Chalmers called part of the most comprehensive productivity push in decades.

But the remaining quarter of coverage tells a different story. Xero research showed only 35% of small businesses were confident the budget would address their challenges. Many described the $20,000 threshold as too low for the investments they actually need to make, especially given rising fuel and material costs. 

The broader sense was that while the write-off is helpful, it doesn’t change the fundamentals of a tough operating environment.

Why it matters for communicators: Headline announcements and on-the-ground sentiment don’t always match. For industry groups and advocacy organisations, grounding your messaging in real-world experience will resonate more than repeating the numbers.

Looking at the budget through comms: what does it mean for strategy and messaging?

There are two factors that emerge as key considerations.

First, the property tax conversation is set to continue for the months ahead. Both sides have credible arguments and strong stakeholder backing; these sentiments will undoubtedly be reinforced by the Opposition next week. If your organisation is connected to housing, property, or financial services in any way, a long-term narrative strategy will serve you better than a one-off reaction.

Second, keeping an eye out for how the election reversal narrative evolves is important. It will become a reference point for future government commitments. For anyone working on government-related messaging, it’s worth considering how your audiences balance trust with outcomes. Media outlets are actively searching for inconsistencies – as are social media users – so any change must be clearly explained and a credible narrative developed.

How budget perspectives shape the media landscape

The 2026-27 Federal Budget was a budget that asked big questions and looked to a new future. The media coverage showed a public working through what these changes mean, with perspectives spread evenly across the biggest stories of the night.

For communicators, the value is in looking beyond the headlines. Understanding the different perspectives, the people and organisations driving them, and the patterns connecting them is what turns a reactive media response into a strategic one.

To explore these kinds of insights for your own industry, discover what Lumina can surface for you. For more insights from the Isentia team, fill in the form below and we’ll get in touch.


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Would you trust a brand more if an AI model recommended it? For many, the answer is yes – and it’s changing the very nature of PR & Comms.

Our latest report digs into the changing nature of trust, as audiences turn to AI models for quick answers instead of going to organisations or media outlets directly, with AI fast becoming the final stop in the comms cycle. 

This report unpacks:

  • Why trust has shifted, and where audiences are having these conversations
  • Why AI has become the last stop in the comms cycle
  • Methods for staying on top of your brand trust and reputation

To access the full report, fill in the form below:

Discover our Lumina AI suite here.


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Blog
How AI is destabilising trust and reputation amongst audiences?

Learn how LLMs reshape brand perception and actionable steps organisations can take to maintain trust and reputation in the new information era.

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If you ask ChatGPT or Gemini about your organisation today, the answer won't come straight from your website. Instead, it uses sources the model already trusts, which are often months or years old. So if your last big mention was a crisis or a controversy from 2023, that's probably still how AI describes you.

This is the tough reality for anyone working in PR and communications today. More people are getting their first—and sometimes only—impression of your organisation from an AI-generated summary, not from search results or the homepage. And these summaries often rely on outdated information.

What does freshness actually mean?

Content freshness refers to how recent the sources are that an AI model uses when it talks about you. It might seem like a minor technical point, but it's actually very important.

Search engines have always valued fresh content, and they let you update information quickly. If you change a page, Google recrawls it, and rankings can shift in days. Large language models don't work like this. As Lisa Main, Director at Main Bureau, said on Isentia's "AI as a Stakeholder" panel,  "large language models are not databases of verified facts." These models are trained on a snapshot of the internet, updated only from time to time, and they rely on sources that were already prominent when they were trained. This means a past crisis or a controversy that is already resolved can keep showing up in AI answers long after it's no longer relevant.

She shared the example of how a day and a half after a notorious terror attack, she asked ChatGPT if the area had ever experienced a tragedy of that type. It replied that it had not." The model wasn't being careless, but it just hadn't updated to include the latest news. This gap between what reality is and what AI still believes is true sums up the content freshness problem.

Dr Nici Sweaney, founder of AI Her Way, explained on the same panel why this gap matters. She calls AI "an accidental narrator" — it shapes what people believe about your organisation just by repeating the latest information it received. The system simply uses what's available and is not trying to be harmful, so it's important to make sure that information is up to date.

How does this change the way organisations show up?

For PR and communications teams, this changes what "reputation management" means. Put simply, messaging that an LLM cites will remain relevant, no matter when it dates from. Messaging that has not been factored into the LLM’s answers, meanwhile, will have no discernible impact on an increasingly vital - even central - channel, regardless of how many other metrics it might win out on. 

This leads to two important things to consider:

  • First, the conditions that surround recent earned media, statements, and announcements determine whether an AI model updates its picture of the brand, or keeps running on an outdated one. Catherine Arrow of the PR Knowledge Hub made a related point on the "Inside the AI Shift" webinar: LLMs and the agents built on them are "often forbidden from going behind paywalls, from scraping particular sites," which she said creates a kind of "news vacuum." The same logic applies to the brand’s own newsroom or press page. If it isn't feeding the model something current, the model has nothing current to draw from.
  • Second, owned content—like blog posts, media releases, and website pages — are strategically important because they’re something the organisation in question can control , but only if they are updated. If a page hasn't changed in eighteen months, it's much more likely to disappear from AI results, making any reputation built on it unstable. If something is published once and not updated, the brand risks letting older, less positive stories take its place.

For public sector and government communicators, the stakes are more immediate again. When a government agency's guidance changes, whether that's eligibility criteria, compliance requirements, or a service update, and the fresh version doesn't make it into what AI models are citing, people will still get fed old information, with potentially devastating real-world implications. 

The evidence is already there

This is not just in theory. It's playing out in global research and in the day-to-day data right now.

  • AI is quietly replacing the front door to your content

The Reuters Institute's Digital News Report Australia 2026 confirms that many PR teams have noticed that Google organic search traffic to news sites dropped by a third worldwide between November 2024 and November 2025, and by 38% in the US, as AI Overviews and AI Mode launched. Publishers expect this traffic to nearly halve again in the next three years. Some now call this trend a move towards "Google Zero." For communications teams, this means people are increasingly less likely to  click through to your website to check if information is current. More often, they're trusting what the AI says: hence why it’s so important to monitor content freshness.

  • AI models are now web-enabled and they might not actually guarantee source accuracy

One challenge is that most major chatbots are now web-enabled. For example, ChatGPT can browse the internet, Gemini uses Google Search, and Perplexity has its own live index. This makes it easy to assume that AI always knows the latest information. However, this does not mean that they are always accurate when it comes to citations. A study from Columbia's Tow Center for Digital Journalism tested eight AI search tools with 1,600 queries. They found that these tools failed to correctly identify or cite the source article more than 60% of the time. Some tools were wrong on most tests and rarely showed any uncertainty. New information has not had time to be checked or confirmed like older stories have. This is the real risk of relying on the newest updates — a story that is fast moving and poorly sourced about your organisation might end up in an AI answer before it’s even verified or fact-checked. 

  • People are turning to AI chatbots specifically for what's new

The same report found that 35% of people who use AI chatbots for news do so to get the latest media updates. Dr Sora Park from the University of Canberra's News and Media Research Centre explained on the "Digital News Report Australia 2026" webinar that the main reason people use AI chatbots for news is that "AI collates stories from different news sources into a single response." People expect these tools to provide current information. If your organisation's newest content isn't included (and you have something current or novel to communicate) you miss the chance to reach audiences when they're most interested.

  • Fresh content doesn’t always equate to ‘new’ content

A notable example  of creating freshness that LLMs reward and prioritise comes from updating existing pages, rather from creating brand-new content. Republishing and refreshing current material is more effective than many communications teams realise, as long as one actually updates the content, not just the date.

  • Evergreen pages are the first casualties when AI overviews roll in

The DNR Australia 2026 report also notes that once someone is inside an AI chatbot conversation, they rarely leave it to check the source — only 4% of AI chatbot users say they always or often click through to the original article, compared with 19% for search and 17% for social media. The pages that used to earn traffic just by sitting there, permanent and useful, are now the ones most likely to lose visibility, because AI models favour what's recent over what's merely correct.

  • One fresh statement doesn't automatically undo a stale narrative

If an executive online, especially one who has a lot of weight to what they post online, says something controversial and it quickly spreads across media articles, social media and search — it will definitely be picked up by AI as well. There is a golden window of opportunity that they need to capitalise on to clarify what they said. If they don’t, the negative story that was already built into the data AI models use, will not be affected much by the executive’s clarification statement, which wasn’t that timely anyway. As Catherine Arrow of the PR Knowledge Hub said on the "Inside the AI Shift" webinar: "public relations and media relations are not the same thing," and relying on a single release misses the point. The real lesson is not to publish faster after a crisis, but to build a strong, up-to-date presence before you need it. In our latest report, “How can leaders communicate in an age of scrutiny”, we’ve outlined exactly how comms leaders can communicate by adapting their content to audiences exposed to the “AI way” of news dissemination. 

What PR & Comms teams should actually do?

The challenge is that organisations can't make an AI model update its answers whenever they want. What they can do is track whether recent work is actually being noticed, which is what  Lumina AI View can help with.

Lumina AI View monitors which sources AI models use when talking about your organisation, how strong and recent those sources are, and how you compare to competitors. Freshness is one of five key factors in the overall score. If your freshness score drops, it's an early warning that your latest campaign or announcement hasn't reached the AI ecosystem yet, and older stories are still dominating.

What’s important to note is that the tool provides a list of source citations, paired with reputation pillars like direction, integrity, performance and innovation — giving a comms professional a fully-rounded understanding of what they need to do. It’s not just the case of knowing source citations, but also of understanding your own AI perception and performance to make informed decisions — whether that’s for a brand,a government agency, a NFP or elsewhere.

This kind of tracking is even more important because it shifts by industry and by market, so "AI visibility" doesn't mean the same monitoring job for every organisation. AI answers for healthcare might draw from the smallest, highest-trust pool of sources (mostly clinical and government), but SaaS and fintech answers lean heavily on editorial reviews and comparison sites.  Ngaire Crawford made a similar point regionally on the "AI as a Stakeholder" panel. For the APAC region specifically, she pushed back on the assumption that editorial media dominates AI citations — "there are a lot of really massive claims about the impact of editorial media... some as high as 85, 88%. That's not what we're seeing." Instead, she found "a fairly even split between (editorial media) and company content," alongside a real presence for review sites, forums, and academic sources. For a comms team, that means the freshness strategy that works for a media-heavy consumer brand might not work for a government agency whose AI visibility is really riding on review sites, .gov pages, or industry forums instead.

By tracking regularly — weekly or as a routine check— you turn the vague concern of "what is AI saying about us" into something that is super clear. You can see if recent coverage changed your list of citations, or if your owned content is still being found, or where there are gaps that need to be filled because old stories still exist and are causing problems.

The opportunity in staying current

There's a real advantage here too. If old content keeps you tied to an outdated story, fresh content is a direct way for PR and communications teams to influence how AI presents them. Publishing regularly, keeping your own pages updated, and getting recent, credible coverage is not just for human audiences. It's how PR professionals can make sure the systems shaping first impressions have the right information.

Teams that make it an ongoing habit of checking in regularly, watching for changes, and keeping fresh, credible content flowing, will have more control over how AI describes their organisation.


If you would like to know more about our Lumina suite, please reach out here and our team will get in touch with for you a quick demo.

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Why is content freshness the new currency for AI visibility?

AI summaries are replacing websites as your organisation’s first impression. Here’s why content freshness—and the sources feeding these models—matters more than ever.

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