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We spoke at Marketing Interactive's PR Asia 2025 recently in Singapore around authenticity, trust and how these are at a strain, specifically in this new AI-powered world. We were amongst top leaders in the PR industry who touched upon how crisis and reputational threats need to be dealt with authentically. Most importantly, companies must be ready for any kind of crisis communications to be activated with statements from senior leadership, without a sense of "doing everything reactively", i.e., the logistics need to be in place so that teams have enough time to be responsive rather that reactive.

Audience perceptions of AI: do we know what's real?

Russ Horell, Chief Revenue Officer, APAC touched upon a few cases that set the tone around how audiences have not been able to clearly identify which online content is real and have ridden the wave until someone figures it out. The two main examples that were touched upon were around how Mia Zelu, a virtual influencer on Instagram became the face of Wimbledon this year, until everyone realised she's not real.

The other case was around former Astronomer CEO Andy Byron's fake statement that was circulated - although not AI, it gives us an insight into how trust in CEOs is at an all time low, with this incident taking it further underground. In this world of fakes, audiences have given up on trying to decide what's real. This needs to be urgently addressed by PR leaders when it comes to brand communications, especially during a crisis.

Our CEO for Pulsar Group, Joanna Arnold was in attendance of the speaking session and at our booth to support and motivate as always. This gave us an extra level of confidence to interact with the visitors at the booth and to speak with them about who we are, what we do and more insight into our content.

Assigning cues to audience reactions

With all this in mind, we wanted to understand how leaders, specifically PR leaders can own their content strategy and decision making when it comes to responding effectively.We analysed posts by top executives and c-suite leaders on LinkedIn and audience behaviour to those posts. We then assigned cues - cues that identify which post is the most authentic in terms of cultural relevance, identity, tone & style, trust, information accuracy etc. Prashant Saxena, Vice President, Revenue & Insights, SEA expanded upon how these cues can be utilised to increase engagement 3-fold. This transforms authenticity from subjective performance into an executable framework that any leader can deploy. The pattern is clear, and posts with multiple authenticity cues consistently outperform those relying on tone alone.

Booth interactions

Jenna Wang, Business Development Director and Christian Chan, Business Development Manager for Isentia, Singapore were having engaging and insightful discussions with attendees, considering the topic at hand is an important one with an almost "what to do" playbook that leaders can use effectively in their communications. We knew many would be keen on understanding and wanting to know more as a follow up to the speaking session. Nikita Gundala, SEA Marketing Lead, managed the content and the logistics around the booth display along with timely updates on our social media.

We had a wonderful experience at PR Asia this year and we look forward to being a part of (and hosting) more such events where we can bring together industry leaders to understand how they navigate new challenges and what can be done about them.

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Interested in learning more? Email us at info@isentia.com

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A World Of Information Without Noise 

Big data is more than just a buzzword. It’s one of the biggest challenges and opportunities facing almost every industry, business and brand today. With the potential value that it holds, investment in big data, machine learning and AI will be crucial for any business that wants to remain relevant through the ages.

Big Data

noun : extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations, especially relating to human behaviour and interactions.

Each day 2.5 quintillion bytes of data is generated – a number that continues to grow exponentially. While we have seen improvements in the collection of data over recent years, the ability to synthesize meaning from this data is demanding more from engineers and their technology than ever before.

The problem that we face is sorting through these huge chunks of data to separate the noise from what is important to individuals and their organisation. While automation has offered speed, simplicity and efficiency, the ‘why’ is where the untapped value and excitement lies.

“Contextualisation is key. It's not about just collecting data, it’s about how that data can provide clear information that enables and inspires action”

Richard Spencer, Chief Marketing Officer at Isentia.

Rather than reflecting on past performance, answering the ‘why’ has the potential to lead action that focuses on influencing the tomorrow.
Beyond big data, the 'why' behind AI and machine learning may raise new questions. For instance the wider interplay behind machine learnings ability to  translate to a language without any knowledge or assumptions about that language.

As teams start to ask these questions, the data starts to be reimagined. The perception of a data point transforms into breadcrumbs of a narrative that can tell a bigger story, and ultimately influence our thinking.

The question is, when big data becomes manageable and meaningful – how fast will it move into being predictive? And even beyond this, be able to simulate what is ‘likely’ to happen.

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It’s official: artificial intelligence has arrived. But how will this disruptive technology transform businesses in the near future?

After more than a few false starts, artificial intelligence (AI) is finally here, and it’s powerfully disrupting the way business is done. We don’t need to ask if or when businesses will adopt AI – the question is where and how widely it will be employed.

AI is already a big player in the technology industry. In particular, there is a growing use of AI in IT’s backroom functions like cybersecurity and tech support. A Tata Consultancy Services (TCS) survey of 835 company executives found that nearly half of respondents were using AI to detect and fend off intrusions – the most frequent use of the technology. But a number of other industries are also opting for AI.

Early adopters

In entertainment, companies like Netflix and Amazon are using machine learning to help their movie recommendation engines. Health care has seen myriad applications, including virtual assistants for doctors, apps that can interpret test results and even AI-based spine surgery technology. In the financial sector, AI has been put to work in regulatory compliance and fraud prevention – PayPal uses a combination of its own AI program and human analysts to combat fraud, for example, and HSBC has teamed up with Silicon Valley startup Ayasdi to automate anti-money-laundering investigations.

Worldwide spending on cognitive and AI systems is expected to reach $12.5 billion this year, according to IDC, a whopping increase of 59.3 percent over 2016. Much of this growth is powered by use cases like the examples above. But there’s another area where AI is rapidly being adopted: automated customer service agents, or chatbots as they’re more commonly known.

Customers now expect AI to be used by companies and they are comfortable interacting with the technology (up to a point). Research from HubSpot found that nearly half of people are happy with the idea of buying products from a chatbot. Perhaps more importantly, 40 percent of respondents said they were indifferent about receiving customer support from either a chatbot or human – provided they got the help they needed fast and easily.

Dealing with data

Whether patrolling a computer network for intrusions or trawling through financials for signs of fraud, AI is most often employed to intelligently handle vast amounts of data quickly. “AI is best deployed in companies with significant amounts of data and robust data systems,” says Andrea Walsh, Isentia’s CIO.

Gartner predicts that, in 2018, half a billion users will save two hours a day as a result of AI-powered tools. Every time a business gains efficiencies, it saves money – and that is AI’s chief benefit.

AI’s smarter processing power is also helping companies generate more quality leads on new customers, using IBM’s Watson AI, for example. Finding, contacting and closing new sales is a time and resource-heavy activity. But AI-based sales assistants can tirelessly work on reaching out to people, while intelligently analyzing data on leads. This can then be effectively communicated with point-of-sale staff.

When employees hear the word “efficiency,” they often assume it will lead to lay-offs. While there is no question that some jobs will be replaced by AI programs, the naysayers are largely exaggerating their mass-redundancy predictions.

AI is a data-cruncher, and it is often employed to take care of something that didn’t even exist 30 years ago: big data. When it accomplishes its analysis, a human is still needed to interpret the results, such as in cybersecurity and anti-fraud scenarios. Even in the case of customer service chatbots, these will mostly be applied to routine queries and simple support functions, augmented by human representatives for complex problems. “AI should not stand alone as a technology,” say Walsh.

Enhancing existing infrastructure

As with all industrial revolutions, AI will create jobs even as it replaces them. There are already glaring shortfalls in STEM-trained employees across the world, and that’s likely to continue as the rapid pace of technological transformation outruns educational reforms. But eventually, new generations will be trained and educated to do jobs created by innovative technologies like AI.

Any business can benefit from AI programs, but when it comes to how broadly they adopt AI, companies need to look at how the technology can augment their existing capabilities. Instead of replacing staff, current AI should be used to support them and put their invaluable human minds to the best use, saving tedious, data-crunching work for the machines. For customers, AI needs to be a helpful, timesaving addition to their experience, and companies should never try to create the false impression that a human is doing the work. People are ready for AI; companies need to be too.

Andrea Walsh, Isentia's Chief Information Officer

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

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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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