AI pricing is artificially low, and ANZ startups are about to feel it. Median planned spend is $15M (versus $12.5M globally), but token costs could jump 10x when subsidies end. If your sales stack runs on AI APIs, those unit economics might not hold.
Podcasting platform Riverside loses customers at the two-seat threshold where pricing leaps from $24/month to $500/month...
Funding & StartupsFormer Startmate-backed energy software company Gridcog raised $14M Series A from ABB and energy giants. Now London-base...
The government is standing up an Office of AI inside PM&C and backing it with $101 million over five years. But the announcement leaves two big questions hanging: copyright exemptions for AI training and data centre investment rules. For now, those decisions are parked.
ESGAgent.ai raised $450k in a seed round led by DNX Ventures, bringing total funding to $1.7M. The Brisbane startup automates ESG compliance for heavy industry, turning months of reporting into hours. Client base includes tier one miners and food manufacturers.
Only 21% of ANZ employees feel engaged at work, down from 23% last year. Remote sellers hit hardest at 7% engagement. The fix is not AI: it is manager training, clearer comp structures, and cutting the 305 systems your team is juggling.
## Federal AI Office launches, procurement details still unclear Prime Minister Anthony Albanese is establishing a federal Office of AI within the Department of Prime Minister and Cabinet, announced in a University of Sydney speech on Wednesday. The office will coordinate AI standards and regulation across government agencies. The move follows state-level offices already operating: South Australia launched the country's first AI office with $28 million and five staff, while NSW established its own within Digital NSW for a two-year initial period. ## What it means for vendors The speech won't include specifics on copyright law changes or government AI procurement guidelines, despite vendor requests for clarity. AI company Anthropic has sought copyright clarification but hasn't requested an exemption. Albanese will argue that "the right guardrails will attract business" and provide "greater clarity and speed for approvals, and a streamlined process for verifying compliance." Worth noting: that's positioning language, not procurement process detail. The federal AI policy (v2.0) took effect 15 December 2025, mandating governance structures for non-corporate Commonwealth entities. Vendors selling into federal government now face a coordinated approach rather than agency-by-agency negotiations. ## Data centre play The office supports Australia's push to become a global AI intelligence hub and attract data centre infrastructure investment. Amazon and Microsoft have both announced Australian AI investment plans through 2026, making regulatory clarity a revenue factor for enterprise sales teams targeting government and regulated sectors. The Attorney-General is running consultations on copyright and artist protections for AI training. Treasurer Jim Chalmers holds responsibility for AI's role in the productivity agenda. For vendors, this means multiple decision-makers and no single procurement pathway yet. ## The sales reality Government AI vendor selection processes remain undefined. The office coordinates policy, it doesn't run RFPs. Sales cycles into Australian federal government typically run 12-18 months. Add regulatory uncertainty and you're looking at longer qualification periods before deals move. The office operates under PM&C with Prime Minister-level oversight, signaling political priority but not budget allocation or vendor shortlists. Enterprise AEs targeting government: qualify hard, expect extended timelines, and watch for actual procurement frameworks rather than policy speeches.
The Albanese government is centralising Australia's AI strategy with a new Office of AI inside the Department of Prime Minister and Cabinet. Seven months after releasing a National AI Plan that relied on voluntary compliance and existing regulators, the government is now creating a dedicated office and national framework for AI standards. The shift matters for sales teams already using AI tools. The government has been running a six-month trial of Microsoft 365 Copilot across the public service, making Australia one of the first governments to deploy generative AI at scale. But the new framework details are unclear. What is clear: copyright exemptions for AI training and data centre regulations are paused. The government cited concerns from creatives about protecting Australian intellectual property. For sales tech vendors, that means uncertainty around how AI models can use local data. The government has committed $101 million over five years for critical technologies, including grants for SMEs to adopt AI. The broader National AI Plan aims to contribute $600 billion to GDP by decade's end. Over $460 million in AI funding has been consolidated through initiatives like the AI Accelerator. Anthropoc signed an MOU with the government, pledging support for data centre infrastructure and $3 million to medical research. But regulatory clarity remains limited. For sales teams evaluating AI tools: the policy gap continues. No standalone AI Act. No mandatory guardrails. Existing privacy and consumer laws apply, but sector-specific guidance is still being improvised. The Office of AI will coordinate standards across agencies. Headcount and budget details are not yet specified. The office will draw on existing government staff. The bottom line: AI is being treated as infrastructure and economic engine, but the rules for commercial use remain unresolved. Sales leaders using or selling AI tools should track how the framework develops, particularly around data use and copyright.
# Riverside pricing gap: $24 solo seat jumps to $500 for two accounts Riverside, the podcasting platform used by Disney, BBC, and Spotify, has a pricing problem that sales leaders should recognise: a 20x gap between self-serve tiers that kills deals before they reach the pipeline. Single seat: $24/month. Two linked seats: $500/month prepaid. That is $6,000 upfront for functionality that customers would pay $100-200/month for. The company lost at least one customer to this gap. They never knew it happened. No CRM entry, no lost deal analysis, no quota impact. Just silent churn from a pricing structure that assumes everyone who needs two seats can write a $6k cheque. ## The sales team created the gap This happens when sales pushes product to price business editions around what they can profitably sell. Minimum deal size is often $5,000-6,000 annually because that is where the unit economics work with human touch. Fair enough. But the customers between $500 and $5,000 in annual spend do not disappear. They just buy from someone else or stay on Zoom. Algolia, the search API company, had the same issue. Free tier, cheap basic usage, then a massive jump to enterprise pricing. When they added a mid-tier plan, revenue increased 15%. Not from upselling existing customers, but from capturing deals that were falling through the gap. ## What this means for your comp If your product has a pricing gap, your quota is harder to hit than it should be. You are losing deals that never show up in Salesforce. Leadership sees conversion rates and assumes the market does not want the product at scale. Actually, the market does not want to 20x their spend overnight. Riverside raised $30 million in Series C in December 2024, led by Zeev Ventures. They rebranded from Riverside.fm to Riverside in May 2026, positioning as an enterprise studio platform. Strong product, major clients, solid funding. But if 5-10% of potential revenue is leaking through a pricing gap, that is real money. For sales teams: ask your pricing team what happens to customers who outgrow self-serve but cannot hit your minimum deal size. If the answer is "they churn" or "we don't track that," you have a gap. For pricing teams: the deals your sales team cannot see are still deals you are losing.
## Federal AI office lands, brings structure to chaos Prime Minister Anthony Albanese announced a federal Office of AI today, housed in the Department of the Prime Minister and Cabinet. The office will coordinate AI policy across government, co-design national standards with Industry Minister Tim Ayres, and work alongside the new AI Safety Institute (launching early 2026 with $29.9 million in funding). This is not another state initiative. South Australia launched its Office for AI with $28 million and 5 staff. NSW has one inside Digital NSW. The federal version consolidates over $460 million in existing AI funding, including $39.9 million for the National Artificial Intelligence Centre and $1 billion under the National Reconstruction Fund. ## What this means for sales teams For tech companies selling into government: you now have a single policy body setting the rules. The Office will run Proof of Value pilots, meaning agencies get funding to test AI tools. That creates enterprise pipeline if your product clears compliance. For sales leaders watching headcount: AI adoption is accelerating, not slowing. The government is backing talent programs (Next Generation AI Graduates) and positioning Australia as a global AI leader. Competitors in the US and EU face fragmented governance. ANZ gets streamlined standards. The hard question: will this create net new sales roles or automate existing ones? Government adoption of AI tools historically drives enterprise demand, which means more AEs selling compliance-ready solutions. But it also means procurement teams using AI to evaluate vendors, shorter sales cycles, and potentially fewer SDRs as inbound gets smarter. Albanese said AI is "a bigger challenge and opportunity than social media." For sales professionals, that translates to: the playbook is changing. Companies that crack government AI procurement early will scale fast. Those waiting for clarity will lose territory. The Office is hiring a Director for Artificial Intelligence now. Recruitment underway. Watch for comp details, because that number will set the benchmark for public-sector AI leadership roles across ANZ. ## What to track National AI standards legislation drops early 2026. That is when compliance requirements get specific and enterprise sales cycles either accelerate or stall. The $29.9 million AI Safety Institute will enforce ethical guardrails, meaning your pitch needs a safety story, not just ROI. Data centre operators now face legal obligations: underwrite power supply, cap household price increases, minimise water usage. If your product relies on compute-heavy AI, factor those costs into your pricing model before prospects ask. Bottom line: federal coordination means faster adoption, clearer rules, and new enterprise pipeline. It also means automation pressure on roles that do not require human judgment. Position accordingly.
## The Deal Gridcog closed a $12.5 million AUD Series A led by ABB Electrification Ventures, with co-investment from Axpo Ventures, DNV Ventures, and Verbund Ventures. Existing investors AlbionVC and Clean Energy Finance Corporation participated. The Perth-founded startup previously raised $6.8M total, including a $6.4M late-seed round in March 2024. ## What They Do Gridcog builds SaaS energy modelling software for renewable projects: solar, battery storage, EV charging, and wind. The platform simulates and optimises project economics, helping firms de-risk investments. Clients include Shell, Origin Energy, and Mitie. The company claims it is the only platform integrating physical and financial optimisation for energy investors. Founders Pete Tickler and Fabian Le Gay Brereton launched the business in 2020. Both are repeat energy-tech founders. ## The Team Gridcog employs 32 people split between Perth and London. The company maintains its corporate office in Perth and established a London headquarters to target UK and European markets. Specific sales team size and executive structure are not disclosed. The business operates B2B, selling into energy sector firms. ## What It Means This is energy-tech infrastructure software, not traditional sales automation. The B2B motion involves longer sales cycles and technical buying committees. If you are an enterprise AE with energy sector experience, this is the type of vertical SaaS that needs quota carriers who understand complex stakeholder management. The Series A signals international expansion: Australia, UK, Europe now, US in approximately 18 months. That timeline suggests they will scale the sales team to support market entry. Worth noting: strategic investors ABB, Axpo, DNV, and Verbund bring distribution potential alongside capital. That can accelerate pipeline, but it also means sales reps need to manage partner channel dynamics. ## The Context Gridcog competes in energy analytics and project simulation software. The company positions itself as specialised techno-economic modelling, differentiating from broader energy management platforms. ANZ energy-tech presence remains anchored in Perth, where the company leverages local expertise. The dual headquarters model (Perth operations, London commercial hub) is common for ANZ startups targeting European enterprise buyers. Funding environment: energy-tech Series A deals remain active despite broader startup slowdown. Corporate venture arms are writing cheques when they see sector-specific infrastructure plays.
## The subsidy won't last AI token pricing is running the Uber playbook: artificially low costs to lock in dependency, then correct to real economics once you cannot leave. OpenAI is pulling $20B revenue against $600B in infrastructure commitments over four years. That gap closes on your invoice. ANZ businesses are planning a median AI spend of $15M, 20% above the global average of $12.5M. 97% of IT leaders are expanding AI agent use, 91% call it vital for competitiveness. Yet 69% feel they are moving too slowly. That fear is driving overcommitment to tools with unsustainable pricing. Anthropic's recent price increases are not an outlier. They are the correction starting. When token costs rise 2x to 10x, your AI-driven sales stack's unit economics collapse. The SDR automation that penciled at current pricing becomes a loss leader. The account research tool that saved 10 hours per AE now costs more than the salary it replaced. ## Sales teams are exposed Sales orgs are early AI adopters: conversation intelligence, email sequencing, account research, pipeline forecasting. These tools wrap frontier models (OpenAI, Anthropic, Google). When the underlying API cost doubles, your vendor passes it through or folds. Either way, your workflow breaks. Stress-test your AI spend against 10x token costs. If your sales automation collapses at 3x pricing, you are building on subsidy, not strategy. ANZ startups face pressure to move fast, but speed without cost modeling is just expensive lock-in. AWS, Azure, and Google Cloud control 80% of ANZ IaaS. Sovereign options like Macquarie Telecom and NEXTDC exist but lack scale for frontier model training. Your vendor's infrastructure costs are rising, and they will not absorb them. ## What this means for GTM If you are hiring SDRs based on AI-assisted productivity assumptions, model what happens when your tooling costs triple. If you are pitching AI-driven sales efficiency to your board, include a scenario where token pricing corrects to sustainable economics. The bargain is not real. It is customer acquisition spend at scale. Plan accordingly.
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