See how leaders, including Sapia’s CEO Barbara Hyman, reacted to the Treasurer’s 2020 Federal Budget, and their comments on how it will impact Australian businesses.
Featured in Business Daily Media | Wed 7th October 2020
“The R&D incentives initiative is a game changer for us because it provides the very thing that all start up businesses want – certainty. These changes are strongly supported because it means we can, as a business, confidently invest in more people to deliver innovative solutions and provide material outcomes for economic growth.”
“ACS is delighted to see the recognition of the importance of technology professionals in Australia’s recovery from the COVID-19 downturn with the emphasis on IT and cybersecurity in this year’s budget.
The 50,000 new higher education short courses which include IT subjects is an important part of addressing skill shortages across the Australian economy.
Coupled with this, the announcement of $240m to support female cadetships and apprenticeships in science, technology, engineering and mathematics will go some way to address the under-representation of women in the ICT sector.
Along with the measures announced in last week’s advanced manufacturing and Digital Business plans, the budget lays firm foundations for a tech led recovery.”
“I welcome the Treasurer’s announcement that the government will provide $231m over four years to support economic recovery by employing more women in the workforce. The funding to increase the number of co-funded grants to women-founded start-ups, and to establish the women in STEM industry cadetship program is a fantastic step in the right direction.
As a female tech founder of an emerging RegTech provider of a digital product governance platform, these initiatives are refreshing and will certainly drive growth in our digital economy.
Australia has over 80 emerging RegTech providers supported by the RegTech Association, and if each of them plans to create around ten new jobs in next 12 months, we are well on the way to not only supporting modern manufacturing and the broad range of Australian industries (clean energy, MedTech, IoT, retail) but also to building a global RegTech export sector.
There is a substantial opportunity for high export potential of RegTech right at the time when our country needs it most. Global RegTech spending is predicted to exceed USD $127 billion.
I would however encourage the government to go harder on looking at initiatives to promote commercialisation. In Australia, a gap exists in commercialisation – after R&D when a start-up needs to find product-market fit and scale-up. Australia needs more effective incentives for this ‘cliff’ to ensure commercialisation and that jobs of the future stay in Australia.”
“I highly commend the government’s decision to double the number of Medicare funded psychological services through the Better Access Initiative. We’ve seen a huge spike in mental health related problems since the outbreak of COVID-19, and this is projected to get worse. Better Access funds telehealth mental health consultations, and thus enables equitable access for all Australians.
But there are more challenges than just mental health. I would have liked to have seen a broader approach to the digitalisation of healthcare. The global pandemic has accelerated digital transformation in healthcare. However, the Federal Budget was missing any concrete indication from the government to properly see this through; the digitalisation of our system starts with a long-term pledge to the reimbursement of telehealth items.
Healthcare businesses aren’t going to invest in the necessary training, hardware and infrastructure setup for digital transformation if there is no long-term government commitment.
We all want to live in a country where quality healthcare is accessible to all. However, it’s going to take more support from the government to get there. I’m hopeful that it won’t take us another pandemic to realise this.”
“While the JobMaker Hiring Credit and the $1.2bn investment to support apprenticeships and trainees are strong initiatives to boost employment, neither of these measures holistically address employment with thousands of Australian white collar workers looking for work who could be utilised more effectively now to help further stimulate the economy. The JobMaker Hiring Credit will be paid at a rate too low to seriously help any business pay the wage of a skilled worker, of which there is high demand for amongst small to medium businesses and this ranges from everything from tech engineers, accountants, marketeers, IT and business professionals.
“To get Australians back to work we need to get more creative in how we view people’s skill sets. The JobTrainer package announced earlier this year is a step in the right direction for helping upskill Australians, but we need more investment in the learning and development space for programs to help job seekers transfer their skills into new industries. The job market is down, but the reality is that there’s still a lot of businesses operating. When they are hiring, they need to be able to screen applications for transferable skill set. All this while making the right hires quickly.”
“It is positive to see reinforced support for mental health initiatives, but this focus needs to be on preventative measures that can help support the wellbeing of Australians before it reaches crisis level. While support for organisations like Beyond Blue is necessary, we also need long term investment for mental health in the learning and development space to create initiatives that can be delivered at a workplace level to support the wellbeing and resilience of Australians as an ongoing priority.”
The expanded First Home Loan Deposit Scheme is a fantastic step in the right direction – too many people living in expensive cities have been missing out for for too long. Increasing the caps on the price of homes that can be purchased to as much as $950,000 will go a long way towards helping to kick start the building boom which is absolutely critical to our economy.
However, it is a shame the HomeBuilder scheme was not extended. This would have been a fantastic way to rejuvenate the property market.
“The Federal Budget is rightly looking to stimulate the economy. It is pleasing to see that more funding for medicines is being injected into the Modern Manufacturing plan. Unfortunately, the breakthroughs we need to overcome the current pandemic will, and are coming from, the smaller companies like Aegros.
To date, we have not seen any targeted support for Australian innovation sectors. This plus the cut in innovation company grants has really cut into Australia’s innovation engine. It may well explain the decrease we have seen in Australia’s productivity over the last 10 years.
Despite this, the Government still hasn’t considered reactivating the SME company R&D commercial project grants,. Those grants provided up to 50% funding to cover the cost of bridging the death valley between prototypes and a commercial product. There’s still much to learn for the Australian government, particularly from Israel, whereby this model of funding has been used to have successful companies repay sales grants. The beauty of this approach is the funds have to be spent first before the Government co-funds. Ensuring only worthwhile projects are supported and ensuring the funds are spent and not used to pay down debts.”
“It is comforting and critical that the government has recognised the important need to invest in thIs younger generation. They are both the worst-affected as a group by COVID in the short term. They are also likely to beat a larger cost of the impact of COVID on the economy and employment opportunities for the next 5 to 10 years.
Despite this, the investment in training only pays off if the individual has a good idea of what jobs they are best suited to. And we all know that career counselling from school and beyond is pretty much non-existent.
The more understanding for the kind of role and environment that brings out the best in an 18 or 25-year-old and the deeper self-awareness they have about their strengths, the more ROI both the government and the individual will get from this massive investment. Scaleable career discovery should really be a part of this and the R&D backing in this year’s budget should be used. This technology is here now through AI-led personalised scaleable career coaching. Perfect for the scale of the challenge we face in a world where face-to-face contact is becoming less necessary.”
“While any increase in funding is welcomed for the aged care sector in crisis, it seems the Government’s 2020-21 budget comes without fundamental structural changes.
The government mentioned an increase in-home care packages alone – and when we already have an average of nearly $8,000 per person unspent, and over 100,000 on the waiting list (almost as many as the 136,000 receiving a package), it does feel a bit like putting a bandaid on a shark bite.
Care providers are already overworked and understaffed, and Australia needs to be spending the money more effectively and efficiently. The aged care sector is clearly in crisis. Thus, instead of adding more funding or policies to what we are already doing, we need to stop the bleeding at the source and become preventative rather than reactive. The government should be enabling families to take charge of their own care to relieve the over-stressing and this could be achieved through technology.
The first contact is via general practitioners and the existing healthcare network. We need to make assistive technology MBS approved and put the power back into the hands of the individual, and save on higher cost services that are, simply put, too little too late.”
“It’s encouraging to see $2 billion injection in R&D incentives. The mortgage broking and the mortgage sector overall is rapidly digitising and this program will only help support its disruption and drive efficiency in the mortgage market. However, there’s still no support for software-based R&D activities which is going to drive the next phase of growth for Australia. AI will be the key for driving productivity of Australians and companies like Effi will be investing heavily in R&D to develop right AI solutions and compete at a global level – but this is only possible if companies like Effi can access R&D incentives easily.
On the other hand, tax support for businesses and incentives for hiring are also good, as they are also needed to help businesses sustain growth.”
“The federal government’s move to invest $28.5 million in expanding Australia’s world-leading Consumer Data Right is an excellent move forward that will help Australia move closer towards realising its open banking transition. The Consumer Data Right and Open Banking is an important initiative that serves up plenty of advantages for Australian customers. It will allow fintech entrants to provide new and improved products by offering data-driven insights and more compelling, tailored and personalised offerings for Australians, all of which will drive economic growth and improved customer outcomes.
At Seed Space, we believe that collaboration is a key driver of success and the $9.6 million proposed by the government to expand the Fintech Bridge program is a welcome initiative that builds on the government’s ongoing multilateral fintech expansion initiatives that are all aimed at helping Australian fintechs grow and scale into key offshore markets such as Europe and the UK, as well as learning from international counterparts to ensure our home grown fintechs are at the operating in line with global best practice.
We also strongly believe the $11.4 million for Australian regtech companies to help ease regulatory burdens is an important initiative. The government is also making available $6.9 million in funding for two blockchain pilots to test how the technology could be used to reduce regulatory compliance burden for businesses. These pilots will complement the National Blockchain Roadmap and will allow the development of successful use cases in how blockchain can help reduce frictions and pain points right across industry verticals.”
“The federal government has stepped up to the plate and provided critical funding support that would allow local manufacturers to continue to innovate, particularly in critical export sectors like retail and health and wellness.
The R&D initiatives will be most welcome to Australian emerging companies seeking to grow and realise their export potential. With regards to this, EVE are currently working on new product development with our honey and tea tree and the development of strains of probiotic that work synergistically to maximise the gut health benefit to consumers. R&D assistance from the government in this process would enable innovation by bringing these products to market much quicker and into the hands of everyday Australians.
Support will also be given to manufacturers to upgrade and improve manufacturing equipment to expand production. At EVE, we are firmly focused on identifying new opportunities for scale, and dovetails nicely with our expansion plans for new export markets and the need to increase our manufacturing capacity. It also is a critical step in providing new employment opportunities for Australian businesses in manufacturing.”
“The budget saw the federal government go much further in recognising what is going to be leading the engine room of the Australian economy both now and in the months ahead: small business.
Many SME businesses across Australia have been left ill-equipped to respond to COVID-19 and we must provide these businesses with a clear path for recovery and getting back to operating very quickly. With over 2 million SMBs across the country, accounting for more than 97 per cent of all Australian businesses by employee size, this business segment is the beating heart of this country.
What we would have liked to see more is additional consideration for helping businesses in regional areas, particularly those looking to adjust to operating in a new normal and supporting their digital footprints. The message is clear: if you’re in any business, you’ve got to be investing in digital resilience.”
“I’m happy to see that this year’s budget includes a number of great outcomes for the startup community. In particular, we welcome the $2bn boost for R&D as this is the lifeline of the tech sector and will provide greater certainty for investment and help support the development of novel technologies within Australia.
The investment in the 5G network and infrastructure is another win for us as better internet means improved connectivity for startups with their employees, customers, partners and networks, ultimately speeding up growth capability.
The $9.6M investment for fintechs will enhance support for businesses to expand internationally and encourage foreign investment and job creation in Australia. The investment in blockchain technology will also help support the fintech community through encouraging broader uptake of blockchain by these businesses which can help improve transparency and rescue regulatory compliance costs.
We welcome news of the personal income tax cuts which will be of great support to many founders who are working full time to support their side hustles. Tax relief will lower the cost of living and allow founders longer runways.
Investment in measures to improve STEM gender equity in Australia is another positive outcome for startups as this will see startups have access to larger talent pools and new perspectives which previously impacted startups having ‘male blinkers’.”
Source: Staff Writer at Business Daily Media, October 7 2020
Why neuroinclusion can’t be a retrofit and how Sapia.ai is building a better experience for every candidate.
In the past, if you were neurodivergent and applying for a job, you were often asked to disclose your diagnosis to get a basic accommodation – extra time on a test, maybe the option to skip a task. That disclosure often came with risk: of judgment, of stigma, or just being seen as different.
This wasn’t inclusion. It was bureaucracy. And it made neurodiverse candidates carry the burden of fitting in.
We’ve come a long way, but we’re not there yet.
Over the last two decades, hiring practices have slowly moved away from reactive accommodations toward proactive, human-centric design. Leading employers began experimenting with:
But even these advances have often been limited in scope, applied to special hiring programs or specific roles. Neurodiverse talent still encounters systems built for neurotypical profiles, with limited flexibility and a heavy dose of social performance pressure.
Hiring needs to look different.
Truly inclusive hiring doesn’t rely on diagnosis or disclosure. It doesn’t just give a select few special treatment. It’s about removing friction for everyone, especially those who’ve historically been excluded.
That’s why Sapia.ai was built with universal design principles from day one.
Here’s what that looks like in practice:
It’s not a workaround. It’s a rework.
We tend to assume that social or “casual” interview formats make people comfortable. But for many neurodiverse individuals, icebreakers, group exercises, and informal chats are the problem, not the solution.
When we asked 6,000 neurodiverse candidates about their experience using Sapia.ai’s chat-based interview, they told us:
“It felt very 1:1 and trustworthy… I had time to fully think about my answers.”
“It was less anxiety-inducing than video interviews.”
“I like that all applicants get initial interviews which ensures an unbiased and fair way to weigh-up candidates.”
Some AI systems claim to infer skills or fit from resumes or behavioural data. But if the training data is biased or the experience itself is exclusionary, you’re just replicating the same inequity with more speed and scale.
Inclusion means seeing people for who they are, not who they resemble in your data set.
At Sapia.ai, every interaction is transparent, explainable, and scientifically validated. We use structured, fair assessments that work for all brains, not just neurotypical ones.
Neurodiversity is rising in both awareness and representation. However, inclusion won’t scale unless the systems behind hiring change as well.
That’s why we built a platform that:
Sapia.ai is already powering inclusive, structured, and scalable hiring for global employers like BT Group, Costa Coffee and Concentrix. Want to see how your hiring process can be more inclusive for neurodivergent individuals? Let’s chat.
There’s growing interest in AI-driven tools that infer skills from CVs, LinkedIn profiles, and other passive data sources. These systems claim to map someone’s capability based on the words they use, the jobs they’ve held, and patterns derived from millions of similar profiles. In theory, it’s efficient. But when inference becomes the primary basis for hiring or promotion, we need to scrutinise what’s actually being measured and what’s not.
Let’s be clear: the technology isn’t the problem. Modern inference engines use advanced natural language processing, embeddings, and knowledge graphs. The science behind them is genuinely impressive. And when they’re used alongside richer sources of data, such as internal project contributions, validated assessments, or behavioural evidence, they can offer valuable insight for workforce planning and development.
But we need to separate the two ideas:
The risk lies in conflating the two.
CVs and LinkedIn profiles are riddled with bias, inconsistency, and omission. They’re self-authored, unverified, and often written strategically – for example, to enhance certain experiences or downplay others in response to a job ad.
And different groups represent themselves in different ways. Ahuja (2024) showed, for example, that male MBA graduates in India tend to self-promote more than their female peers. Something as simple as a longer LinkedIn ‘About’ section becomes a proxy for perceived competence.
Job titles are vague. Skill descriptions vary. Proficiency is rarely signposted. Even where systems draw on internal performance data, the quality is often questionable. Ratings tend to cluster (remember the year everyone got a ‘3’ at your org?) and can often reflect manager bias or company culture more than actual output.
The most advanced skill inference platforms use layered data: open web sources like job ads and bios, public databases like O*NET and ESCO, internal frameworks, even anonymised behavioural signals from platform users. This breadth gives a more complete picture, and the models powering it are undeniably sophisticated.
But sophistication doesn’t equal accuracy.
These systems rely heavily on proxies and correlations, rather than observed behaviour. They estimate presence, not proficiency. And when used in high-stakes decisions, that distinction matters.
In many inference systems, it’s hard to trace where a skill came from. Was it picked up from a keyword? Assumed from a job title? Correlated with others in similar roles? The logic is rarely visible, and that’s a problem, especially when decisions based on these inferences affect access to jobs, development, or promotion.
Inferred skills suggest someone might have a capability. But hiring isn’t about possibility. It’s about evidence of capability. Saying you’ve led a team isn’t the same as doing it well. Collecting or observing actual examples of behaviour allows you to evaluate someone’s true competence at a claimed skill.
Some platforms try to infer proficiency, too, but this is still inference, not measurement. No matter how smart the model, it’s still drawing conclusions from indirect data.
By contrast, validated assessments like structured interviews, simulations, and psychometric tools are designed to measure. They observe behaviour against defined criteria, use consistent scoring frameworks (like Behaviourally Anchored Rating Scales, or BARS), and provide a transparent, defensible basis for decision-making. In doing this, the level or proficiency of a skill can be placed on a properly calibrated scale.
But here’s the thing: we don’t have to choose one over the other.
The real opportunity lies in combining the rigour of measurement with the scalability of inference.
Start with measurement
Define the skills that matter. Use structured tools to capture behavioural evidence. Set a clear standard for what good looks like. For example, define Behaviourally Anchored Rating Scales (BARS) when assessing interviews for skills. Using a framework like Sapia.ai’s Competency Framework is critical for defining what you want to measure.
Layer in inference
Apply AI to scale scoring, add contextual nuance, and detect deeper patterns that human assessors might miss, especially when reviewing large volumes of data.
Anchor the whole system in transparency and validation
Ensure people understand how inferences are made by providing clear explanations. Continuously test for fairness. Keep human oversight in the loop, especially where the stakes are high. More information on ensuring AI systems are transparent can be found in this paper.
This hybrid model respects the strengths and limits of both approaches. It recognises that AI can’t replace human judgement, but it can enhance it. That inference can extend reach, but only measurement can give you higher confidence in the results.
Inference can support and guide, but only measurement can prove. And when people’s futures are on the line, proof should always win.
Ahuja, A. (2024). LinkedIn profile analysis reveals gender-based differences in self-presentation among Indian MBA graduates. Journal of Business and Psychology.
Hiring for care is unlike any other sector. Recruiters are looking for people who can bring empathy, resilience, and energy to the most demanding human roles. Whether it’s dental care, mental health, or aged care, new hires are charged with looking after others when they’re most vulnerable. The stakes are high.
Hiring for care is exactly where leveraging ethical AI can make the biggest impact.
The best carers don’t always have the best CVs.
That’s why our chat-based AI interview doesn’t screen for qualifications. It screens for the the skills that matter when caring for others. The traits that define a brilliant care worker, things like:
Empathy, Self-awareness, Accountability, Teamwork, and Energy.
The best way to uncover these traits is through structured behavioural science, delivered through an experience that allows candidates to open up. Giving candidates space to give real-life, open-text answers. With no time pressure or video stress. Then, our AI picks up the signals that matter, free from any demographic data or bias-inducing signals.
Candidates’ answers to our structured interview questions aren’t simply ticking boxes. They’re a window into how someone shows up under pressure. And they’re helping leading care organisations hire people who belong in care and those who stay.
Inclusivity should be a core foundation of any talent assessment, and it’s a fundamental requirement for hirers in the care industry.
When healthcare hirers use chat-based AI interviews, designed to be inclusive for all groups, candidates complete their interviews when and where they choose, without the bias traps of face-to-face or phone screening. There are no accents to judge, no assumptions, just their words and their story.
And it works:
Drop-offs are reduced, and engagement & employer brand advocacy go up. Building a brand that candidates want to work for includes providing a hiring experience that candidates want to complete.
Our smart chat already works for some of the most respected names in healthcare and community services. Here’s a sample of the outcomes that are possible by leveraging ethical AI, a validated scientific assessment, wrapped in an experience that candidates love:
The case study tells the full story of how Sapia.ai helped Anglicare, Abano Healthcare, and Berry Street transform their hiring processes by scaling up, reducing burnout, and hiring with heart.
Download it here: