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Inside Google Cloud’s Startup Ecosystem with Mike Langford
Mike Langford, Head of VC and Startup Ecosystem JAPAC at Google Cloud, covers Google’s $1B Australian investment, AI vs generative AI, and how startups can get real support from Google.
About the guest
Mike Langford
Head of VC and Startup Ecosystem JAPAC at Google Cloud
Mike Langford has spent nearly 12 years at Google, progressing from publisher partnerships and agency roles through to building the VC and startup ecosystem program across Asia Pacific. A software engineer by training, he started writing code at age four or five on a BBC Acorn before moving through IT consulting at Deloitte and Accenture. He also ran two startups on the side of his day job before finding his home at the intersection of technology and startups at Google Cloud.
Episode overview
Steve Grace finally lands Mike Langford on Give It A Nudge after what both agree was a three-and-a-half-year wait. Mike runs the VC and startup ecosystem across Asia Pacific for Google Cloud, overseeing markets including India and Singapore from his base in Sydney. The conversation covers his 12-year path through Google, the company’s billion-dollar commitment to Australia’s digital future, the practical difference between AI and generative AI, and why Google Cloud is making a genuine case to startups at every stage of growth.
Building a role by creating demand for it
Mike’s path to his current role is a model for anyone inside a large organisation who wants to do more meaningful work. He started at Google in publisher partnerships and ad exchange, then shifted to the agency side. Feeling disconnected from both technology and startups, he used Google’s 20 percent time policy to support the local startup ecosystem through Fishburners, working alongside Sal Williams. When Sal left, Mike saw white space and worked through successive country managers to make the case for a full-time startup role. The answer to where that role should sit came back as Google Cloud, where the ROI of helping early-stage companies is clear and measurable.
“I was at the biggest technology company in the world and I’d shifted away from technology and I’d shifted away from startups. I felt this really big gap.”
Mike Langford on finding his way back
Google’s $1 billion commitment to Australia’s digital future
The Digital Futures initiative is a $1 billion investment across three areas. Technology includes substantial investment in local cloud data centres, including a major facility in Melbourne that Mike confirms many people are unaware exists. Partnerships focus on research collaborations with CSIRO and others, including applied AI projects on the Great Barrier Reef’s Crown of Thorns starfish problem, kelp forest regeneration in Tasmania, and hearing health in partnership with Cochlear. Research centres on a Sydney-based AI Research Centre headed by Grace Trun, combining leading local AI talent with global expertise to drive cutting-edge work on par with DeepMind.
“Research takes time. Initially it’s forming the teams, then identifying the priority areas, then getting down into the weeds. We’ll stay patient on that.”
Mike Langford on the AI Research Centre
AI vs generative AI: the plain-language version
Mike offers a clear framing. AI is the umbrella. Machine learning sits within it and refers to systems that analyse data and make extrapolations from patterns. Generative AI is a subset focused specifically on generating content: text, image, audio, video, and code. Both inputs and outputs are increasingly multimodal. The practical example he gives is a Domain partnership where a customer can import a video of a property walkthrough and the model produces a structured floor plan and written listing, a task that previously took significant human effort.
Why founders should look seriously at Google Cloud
Mike is direct about the commercial logic: Google Cloud’s startup program offers meaningful credits, tools, and a support ecosystem that reduce the real cost of early-stage infrastructure. Beyond the financial case, he points to Google’s commitment to open-source models as a differentiator, arguing that this philosophy aligns better with startup needs than a closed-platform approach. The program also provides access to Google’s broader partner network, which is particularly valuable for founders who need introductions to enterprise customers across Asia Pacific.
Key takeaways
Chapters
00:44Mike’s journey to Google01:20Role at Google Cloud and focus areas02:35Mike’s tech background and early career03:40Transition to non-tech roles at Google05:11Building a role in the startup space06:11Digital Futures initiative and key projects09:50Environmental and medical partnerships11:35Supporting startups through various stages14:00Balancing passion and practicality16:18Impact of AI and future applications23:10Why choose Google Cloud for startups
Mentioned in this episode
Frequently asked questions
What does Google Cloud’s startup ecosystem program offer founders?
Google Cloud’s startup program provides credits, tools, and mentorship to help founders at each growth stage. Mike Langford’s team works directly with VCs and the startup ecosystem across Asia Pacific to connect companies with the right resources, from early infrastructure credits through to enterprise introductions as they scale.
What is Google’s Digital Futures initiative for Australia?
Digital Futures is a $1 billion commitment across three areas: technology including a major local data centre in Melbourne, partnerships with CSIRO and research institutions on environmental and medical AI projects, and an AI Research Centre in Sydney headed by Grace Trun that brings together leading Australian and global AI researchers.
What is the difference between AI and generative AI?
AI is the broad umbrella term. Machine learning sits within it and refers to systems that analyse data to find patterns and make extrapolations. Generative AI is a subset specifically about generating content, whether that is text, image, audio, video, or code. Both inputs and outputs are increasingly multimodal, meaning systems can accept video and return structured text, for example.
Why should startups choose Google Cloud?
Mike cites user-friendly interface, cost-effectiveness through startup credits, comprehensive support, and Google’s commitment to open-source models. The open-source approach reduces lock-in risk, which matters significantly for early-stage companies still finding product-market fit. Access to Google’s Asia Pacific partner network is an additional strategic benefit.
How did Mike Langford build his startup role at Google?
Mike used Google’s 20 percent time policy to support the local startup ecosystem through Fishburners alongside Sal Williams. When Sal left, he identified the white space and built a business case through successive country managers. The role found its home in Google Cloud, where supporting early-stage companies produces clear, measurable returns for the business.
Topics discussed
Full transcript
Auto-generated, may contain minor errors.
Show full transcript (41 minutes)
00:00 Introduction
Welcome to another episode of Give It A Nudge. Today is super special because there’s often guests that take a while to get on, and this Mike from Google finally got him on. He is coming on to talk about what he’s doing at Google but also talking about what Google’s doing for all of us on the planet. Welcome to the show Mike.
It’s great to be here. Thanks for having me. It has taken, I actually don’t know, I think we might have wanted to be our first guest like three and a half years ago. No. But it has taken a while. Thank you so much for coming on.
01:20 Role at Google Cloud
My current role: I work at Google in Google Cloud, head up the VC and startup ecosystem across Asia Pacific, based here in Sydney. A role that has a lot of focus areas. India, Singapore are kind of key markets for us. And we’ll be venturing into China very soon.
02:35 Tech background and early career
I’m a technologist at heart. I studied software engineering at university. I told the story of how I first started playing with computers when I was five when Dad brought a BBC Acorn back home. To run a game through a tape player you have to type prompts, so you’re immediately starting to learn prompts. Then from there I realised that you could code games fairly easily. I got a book of code of games and I would spend hours writing all of these lines of code in order to create a game with graphics. The graphics were terrible but at the time, mind-blowing.
06:11 Digital Futures and key projects
This all fits under our Digital Futures initiative, which is a $1 billion commitment to invest in Australia’s digital future. That’s the one billion just for Australia. A combination of three areas: technology, which includes the investment in the cloud data centres we’ve got locally, which we only used to have overseas. Melbourne. Big data centre. We have partnerships, so partnering closely with CSIRO. And we have research, so we’ve actually built an AI Research Centre headed up by Grace Trun. This is bringing AI experts from both leading Australian researchers and actually tapping into some of the global talent.
09:50 Environmental and medical partnerships
Up in the Great Barrier Reef, looking at the Crown of Thorns starfish. It’s doing the opposite of getting extinct. It’s actually killing the coral. They were using very ineffective, very labour-intensive methods of detection. So starting to use satellite imagery or planes flying over, using AI and machine learning to identify clusters of these, then sending boats out. They’re building robot boats to drive out to extract the starfish.
The more recent one we announced is down in Tasmania. 95 percent of the kelp forest has gone away due to global warming. They’re using machine learning and AI to identify what is it about the DNA of surviving specimens, and can we replicate it to bring back the species.
16:18 AI and generative AI explained
AI is the over-banner for machine learning, essentially the broad term for how you can bring artificial intelligence, which is generally going to be looking at the data and understanding how you can make extrapolations from that data. Generative AI is a subset of AI. Just think of it as: AI is the broad term, gen AI is very much about generating content. That content may be text, image, audio. They call it multimodal. We’re seeing very much the text and image, starting to see some video come through, audio as well, and code, which is a huge one. The cool thing is that it’s not just the outputs that could be multimodal, it’s the inputs as well.
About the host
Steve Grace is the CEO and co-founder of The Nudge Group, a talent and advisory firm working with Australia’s fastest-growing companies. Give It A Nudge features unfiltered conversations with founders, operators, and investors. Connect with Steve on LinkedIn.
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