Australia’s ‘AI spring’, Canva’s 3-part startup test: 10 insights from AWS Unicorn Day
From an impressive lineup of speakers spanning AWS heavyweights to big-name customers and VCs, here are the 10 of the most important takeaways for ambitious startups and scaleups:
The event was opened by the AWS MD for Australia and New Zealand, Rianne Van Veldhuizen, who shared that 83 per cent of startups believe AI will reshape their industry within the next five years.
At the risk of stating the obvious, the opportunity is massive. The challenge, however, is moving from hype to real-world impact, and standing out in an increasingly saturated AI market.
AWS used Unicorn Day to spotlight its Generative AI Accelerator, which has already supported startups like Splash and Leonardo.ai. In 2024, 80 companies globally participated in the eight-week hybrid program, which gives generative and agentic AI startups mentorship from program partners like NVIDIA and Mistral AI, and the chance to receive up to US$1 million in AWS credits. The latest cohort will be announced on September 24, 2025.
There’s also AI Spring Australia, the new initiative AWS has launched to strengthen national AI capability. The program will give startups and enterprises the tools and expertise they need to adapt across specific sectors and industries.

Luke Anderson’s keynote hammered home a truth many founders are already grappling with: model reasoning and AI agents mean we need to shift how we think about software. It’s time to update how we build, deploy, and interact with software.
It’s a shift from static code to systems that take in data to act, decide and execute on our behalf.
Identity, security, data foundations and cost-optimised infrastructure aren’t going anywhere. As Anderson put it, the foundations don’t disappear — they get more important.
AWS leaned heavily on its credentials: government-grade cloud security, 99.54 per cent uptime across APAC, and 2.7 times fewer outages than rivals. As AI-driven applications scale, reliability isn’t a nice-to-have — it’s existential.
From AI-powered irrigation projects reducing water usage by 40 per cent to a $467 million commitment in renewable energy projects through 2025, AWS framed sustainability as core infrastructure for startups building the future.
Canva’s Head of Design Experience, Alli McKee, argued Australia’s size has forced founders to think global from day one — which explains why the country punches above its weight with unicorn creation.
And she’s someone that would know – having built and sold her own AI design startup to Google before joining Canva and moving Down Under.

Alli shared Canva’s framework for scaling products which should act as a litmus test for anyone building with global ambitions:
AWS highlighted Bedrock as the fastest way to build and scale generative AI apps safely, alongside Bedrock AgentCore for runtime environments and Amazon Q Developer for AI-powered development lifecycles.
Translation: expect a very different software stack in 2025.
While AI dominated the day, Canva cautioned against chasing it for its own sake.
The real magic? “When AI disappears into the background, solving problems and elevating user experience without fanfare.”
Before the champagnes flowed, AWS Heads of Startups/Scaleups NZ John Kearney closed out the day with a reminder that Australia’s startup ecosystem is already proven on the global stage.
With programs like AWS Activate, GTM Accelerator and the AWS Global Marketplace, the pathways to international scale are wider than ever.
Find out more about AWS programs for startups in Australia and New Zealand here.
This article is brought to you by Startup Daily in partnership with AWS Startups.
AWS Startups is a dedicated division of Amazon Web Services that provides the cloud infrastructure and business support necessary for early to mid-stage companies to build and scale. Through the AWS Activate program, they offer startups up to $100,000 in cloud credits, technical mentorship, and access to the Generative AI Accelerator, which helps founders integrate advanced machine learning models into their products. Find out more at AWS Startups
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