Investment insights

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A former Google executive’s warning to Australia’s brokerage sector is less a hot take than a strategic diagnosis: the industry’s economics are shifting, fast. AI-native competitors, policy-driven demand shocks, and tighter duty-of-care rules are converging to compress margins and elevate client expectations. The winners will redesign their cost-to-serve, data capabilities, and client journeys — not just buy new tools. Here’s a pragmatic blueprint for staying ahead.

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Dan Siegler’s call for Australia’s brokers to dismantle legacy practices lands at a pivotal moment. The broker channel already intermediates the majority of new mortgages, yet revenue pools are under pressure and the customer experience is uneven. With artificial intelligence accelerating in the United States and UK markets, and Australia’s own policy moves reshaping demand, the sector faces a choice: modernise the operating model or drift into price-based competition.

The signal behind the noise: a strategy read on disruption

Look past the hype and apply two lenses. First, the industry S-curve: digital workflows in origination have crossed from early adopters to mainstream lenders; the next curve is AI-augmented advice and straight-through processing. Second, Five Forces: buyer power is rising as price/feature transparency improves; substitutes are emerging in direct-to-consumer fintech and embedded finance; the threat of new entrants is increasing as proptechs and digital advisors leverage low-cost stacks. In this context, Siegler’s message is not about gadgets — it’s about re-architecting the value chain.

Market context: growth, policy and regulation reshape incentives

By 2025, estimates of Australia’s mortgage broking market revenue range between roughly AU$4.2 billion and AU$6.2 billion, reflecting methodological differences but pointing to a meaningful, contested pool. Brokers originate roughly two-thirds to three-quarters of new home loans in recent periods, underscoring systemic importance. Two macro shifts now bite:

• Policy demand shocks: The accelerated expansion of the Home Guarantee Scheme (HGS) from 1 October 2025 aims to bring more first-home buyers into the market. That can lift volumes but also risks stoking entry-level price inflation, dampening affordability gains and forcing brokers to manage client expectations and lender capacity constraints simultaneously.
• Duty of care and compliance cost: The Best Interests Duty (BID) has strengthened consumer trust but requires richer product comparisons, clearer rationale capture and auditable advice trails. Firms that automate compliance will carry structurally lower unit costs — and higher resilience — than those relying on manual processes.

Technical deep dive: the modern broker tech stack

Disruption here is a capability rebuild, not a point-solution spree. A pragmatic stack looks like this:

• Data ingestion and normalisation: Bank statements, payslips and IDs processed via OCR and computer vision, with entity resolution to create a clean customer file. This removes rekeying and reduces error rates.
• Document intelligence and eligibility engines: NLP models extract income, liabilities and anomalies; policy rules engines map borrower profiles to lender criteria in real time, flagging showstoppers early.
• Property intelligence: Automated valuation models (AVMs), comparable sales engines and risk overlays (LVR, postcode concentration, flood/fire risk) provide valuation ranges and risk flags during pre-qualification.
• AI co-pilots for advisors: Large language models, grounded on internal knowledge bases and lender policy documents, summarise options, draft BID-compliant recommendations, and generate client-ready explanations in plain English — with human-in-the-loop approval.
• Workflow and straight-through processing: API-first application orchestration with lenders, eIDV, eSign and eSettlement to compress time-to-approval and reduce fallout.
• Analytics and model risk: Dashboards on time-to-yes, abandonment, approval conversion, clawbacks and arrears cohorts; MRM pipelines to monitor drift and bias, aligned with privacy and fairness requirements.

The technology is available off-the-shelf from vendors across fintech, regtech and proptech. The differentiator will be data quality, process design and change management.

Economics that matter: from cost-to-serve to conversion

Three levers determine whether technology investments pay back:

• Cycle time: Every day shaved off time-to-yes reduces leakage to competitors and improves NPS. In markets where AI triage and document intelligence have been deployed, firms report materially faster pre-assessment and fewer back-and-forths with lenders. Faster processing directly lifts conversion and referral rates.
• Right-first-time submissions: Eligibility engines and policy co-pilots cut rework. Fewer referral declines reduce adviser time lost, clawback risks and client frustration.
• Compliance at meaningful scale: Automated file notes, advice rationale and product comparison evidence lower the marginal cost of BID while raising audit readiness. That is a structural margin advantage, not a cosmetic win.

Competitive edge: where boutiques and incumbents can win

Nimble, specialised firms are well positioned to outmanoeuvre larger brands in niches — self-employed borrowers, expats, complex income, or regional markets — by tuning data models and workflows to local realities. Meanwhile, incumbents can leverage brand trust and distribution breadth if they industrialise advice, deploy personalisation at meaningful scale and build data partnerships.

Three strategies stand out:

• Specialisation and playbooks: Build domain-specific policy graphs (e.g., for construction loans or asset finance) and publish transparent service-level commitments that beat the market.
• Partnerships and embedded origination: Co-create pre-qualification experiences with real estate portals, developers and employers. Embedded finance funnels convert higher and lower acquisition costs than generic lead buying.
• Data moat creation: Invest in consents-driven data capture (open banking, payroll APIs) and feedback loops (post-settlement performance) to improve matching and risk screening over time.

Implementation reality: governance, ethics and skills

Adopting AI is as much about controls as capability:

• Privacy and security: Align with Australian Privacy Principles; prefer on-shore processing and encryption at rest/in transit; maintain vendor SOC 2/ISO 27001 evidence; use data minimisation and de-identification for model training.
• BID-aligned AI: Ground LLMs on approved content; disable free-form hallucination for advice; enforce human approval gates; capture rationale and version every output for audit.
• Model risk management: Set thresholds for accuracy and bias; monitor drift; implement incident response for model failures; keep fallback manual pathways.
• People and change: Upskill advisers as “augmented analysts”; redesign incentives to reward quality and compliance; appoint a product owner for the broker platform to avoid tool sprawl.

Policy ripple effects: HGS and the affordability paradox

The HGS expansion will likely lift enquiry volumes among first-home buyers but could add heat to price-sensitive segments. For brokers, this means stress-testing serviceability at realistic buffers, setting client expectations on competition for stock, and coordinating with lenders on capacity constraints. Transparent, data-backed guidance will be a differentiator when emotions run high.

What good looks like in 12 months

Leading firms will show measurable gains: 20–30% faster pre-assessment, material lift in right-first-time submissions, better audit outcomes, and higher cross-sell into protection and asset finance — all while keeping complaint rates low. The laggards will still be pushing PDFs around and wondering why referral partners are drifting.

The next 24–36 months: consolidation and new business models

Expect three shifts: consolidation around data-rich platforms; growth of subscription-style service tiers for ongoing credit health monitoring; and tighter lender-broker API standards enabling near real-time decisioning. Those who treat AI as the new operating system for distribution — not a bolt-on — will define the next chapter.

Action plan for principals and CEOs

• Map the client journey; quantify drop-offs and rework; prioritise two bottlenecks for elimination.
• Stand up a secure data layer; pilot document AI and an eligibility engine in parallel; measure right-first-time and cycle-time deltas.
• Codify BID into workflows; automate rationale capture; rehearse for audit.
• Strike one embedded origination partnership; test CAC and conversion economics against traditional channels.
• Institute model risk governance; name an accountable AI owner; train advisers as co-pilot users.

The strategic takeaway: technology is merely the enabler. The real disruption is an operating model that is faster, more transparent and compliance-native. Build that — or prepare to compete on price alone.

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A former Google executive’s warning to Australia’s brokerage sector is less a hot take than a strategic diagnosis: the industry’s economics are shifting, fast. AI-native competitors, policy-driven demand shocks, and tighter duty-of-care rules are converging to compress margins and elevate client expectations. The winners will redesign their cost-to-serve, data capabilities, and client journeys — not just buy new tools. Here’s a pragmatic blueprint for staying ahead.

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string(0) "" ["value"]=> string(0) "" ["rawvalue"]=> string(0) "" } } ["link"]=> string(122) "/invest-money/investment-insights/disrupt-or-be-commoditised-why-australias-brokers-must-rebuild-their-operating-model-now" ["image"]=> string(115) "https://res.cloudinary.com/momentum-media-group-pty-ltd/image/upload/v1756308114/pexels-thirdman-8469941_fntqqr.jpg" ["image_alt"]=> string(92) "Disrupt or be commoditised: Why Australia’s brokers must rebuild their operating model now" } [1]=> object(stdClass)#8412 (57) { ["id"]=> int(18656) ["title"]=> string(80) "Global investment giant tips market resilience and rate cuts to continue in 2025" ["alias"]=> string(80) "global-investment-giant-tips-market-resilience-and-rate-cuts-to-continue-in-2025" ["introtext"]=> string(176) "

State Street Global Advisors has predicted ongoing interest rate cuts and economic resilience for 2025, with its forecast of a US soft landing expected to materialise.

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The investment firm released its 2025 Global Market Outlook report, highlighting several key investment themes for the year ahead.

Global Chief Investment Officer Lori Heinel said markets remained resilient despite a challenging 2024.

"2024 was no ordinary year, with elections around the world, persistent inflation and market volatility all playing their part in building an uncertain macroeconomic environment," she said.

The firm suggested the rate cut cycle that began in 2024 would continue, though noted the Trump-led Republican US election victory could alter the narrative later in 2025.

Global Chief Investment Strategist Jennifer Bender expressed optimism about fixed income assets.

"While spreads across both investment grade credit and high yield debt are near historic lows, we are optimistic about prospects for fixed income assets next year, and see a generally favourable environment for advanced economy sovereign debt," she said.

The outlook identified US large cap equity as maintaining its structural advantage over other developed markets.

Japanese equities were expected to move sideways due to potential volatility, while Chinese equities could face challenges in sustaining growth despite stimulus measures.

The report also highlighted the Gulf Cooperation Council (GCC) region as an emerging investment destination.

"The GCC region is undergoing significant transformation driven by its Vision plans, which increases its appeal for both domestic and international investors and is reflected in the performance of the equity and bond markets," Heinel said.

The firm recommended investors consider looking beyond traditional balanced portfolios and evaluate alternative exposures for diversification and risk mitigation.

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State Street Global Advisors has predicted ongoing interest rate cuts and economic resilience for 2025, with its forecast of a US soft landing expected to materialise.

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A new survey by AlphaReal reveals that UK pension funds and insurers are looking to increase their investments across a range of renewable energy technologies over the next five years.

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Key findings from the survey of institutions managing over £350 billion in assets include:

• 85% of respondents prefer to invest in multiple renewable energy technologies rather than a single technology
• 87% plan to increase investments in onshore wind, with 30% expecting significant increases
• 63% currently invest in battery energy storage systems (BESS), with 57% planning significant increases
• 54% invest in ground-mount solar, with 56% planning significant allocation increases

Raza Ali, Investment Director of Renewable Infrastructure at AlphaReal, said the findings support their diversified investment approach across renewable technologies.

"Experience in the sector has demonstrated there is a complimentary energy generation profile between ground-mount solar and onshore wind, and adding BESS could provide further diversification and derisking benefits whilst continuing to provide stable returns to investors," Ali said.

Ed Palmer, CEO and Head of Sustainability at AlphaReal, noted that diversifying across renewable technologies allows investors to capitalize on the range of opportunities available.

"AlphaReal has originated and managed a diversified pool of renewable energy assets for over a decade. To date, we have deployed over £1 billion into assets that support the transition to clean energy and that provide alignment with ESG investment objectives," Palmer said.

The survey, conducted in November 2023, included 100 senior investment professionals from UK public and private pension funds and insurance companies.

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A new survey by AlphaReal reveals that UK pension funds and insurers are looking to increase their investments across a range of renewable energy technologies over the next five years.

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string(0) "" ["value"]=> string(0) "" ["rawvalue"]=> string(0) "" } } ["link"]=> string(112) "/invest-money/investment-insights/uk-pension-funds-and-insurers-plan-significant-investments-in-renewable-energy" ["image"]=> string(113) "https://res.cloudinary.com/momentum-media-group-pty-ltd/image/upload/v1722337875/pexels-pixabay-356036_k22ro5.jpg" ["image_alt"]=> string(78) "UK pension funds and insurers plan significant investments in renewable energy" } [3]=> object(stdClass)#8410 (57) { ["id"]=> int(18624) ["title"]=> string(69) "Morgan Stanley executive touts benefits of long-term equity investing" ["alias"]=> string(69) "morgan-stanley-executive-touts-benefits-of-long-term-equity-investing" ["introtext"]=> string(159) "

Investing in high-quality companies with sustainable returns can lead to strong long-term performance, according to a senior Morgan Stanley executive.

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Bruno Paulson, managing director of Morgan Stanley Investment Management's International Equity team, said investing in well-managed companies with high returns on operating capital can outperform traditional equity indices over time.

"We're well-known advocates for a long-term approach to high quality investing," Mr Paulson said.

He highlighted the power of compound interest, noting that returns can grow dramatically over extended periods. An investment receiving 9% compound interest would double every eight years, significantly outpacing simple interest returns.

The Morgan Stanley team aims for companies in their global portfolios to compound at around 10% annually. Mr Paulson broke this down as:

• 5-6% reliable revenue growth across economic cycles
• 1% from incremental margin improvements 
• 4% free cash flow yield

However, Mr Paulson expressed concern about the broader market's ability to match this compounding in challenging economic conditions.

"That is the worry right now, that after 15 years without a recession, barring the brief interregnum of COVID, trickier times may be on the way," he said.

Mr Paulson noted the shift in market focus from 2023's "Magnificent Seven" US stocks to what some are calling the "Fabulous Four" in 2024. He singled out Nvidia as the "Omnivorous One", with its stock price up 150% in the first half of 2024 and a market capitalisation of US$3.09 trillion.

Despite the challenging investment environment, Mr Paulson emphasized the importance of thinking long-term and avoiding permanent capital destruction.

"We want to avoid the permanent destruction of capital, which we would argue is just as important to investors as the chance to earn outsized investment returns," he said.

The Morgan Stanley team maintains that long-term investors benefit from investing in high-quality equities that can withstand market fluctuations over time.

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Investing in high-quality companies with sustainable returns can lead to strong long-term performance, according to a senior Morgan Stanley executive.

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Political uncertainties in Europe, the UK, and the US are driving market dynamics, making diversification crucial for investors, according to Nigel Green, CEO of deVere Group.

" ["fulltext"]=> string(2002) "

Green warns that politics is currently shaping investor returns, with upcoming elections and political shifts in major economies causing market fluctuations.

"Politics shapes economic policies, regulatory environments, and investor sentiment," Green said.

He highlighted recent market movements linked to political events, including:

• The euro and European stock markets rising due to speculation that Marine Le Pen's far-right party may struggle to secure a majority in French elections
• Expectations of a Labour victory in the UK general election this Thursday, potentially benefiting sectors such as construction, banking, and renewable energy
• Market reactions to rumours that the current US president might be replaced as the Democratic candidate in the upcoming presidential election

Green emphasised that diversification is "really the only anchor for investors seeking to protect and grow their wealth" in this uncertain environment.

He recommends investors spread their portfolios across various asset classes, sectors, and geographies to buffer against political risks and unpredictable market movements.

"By embracing this time-honored approach, investors can mitigate risks, capitalize on opportunities, and achieve stable returns despite the inherent uncertainties of the political climate," Green said.

The deVere CEO advised investors to consider:

• Balancing investments across stocks, bonds, real estate, and commodities
• Investing in multiple regions to reduce exposure to country-specific political risks
• Including a range of sectors to offset political impacts on specific industries
• Regularly assessing and adjusting portfolios with a financial advisor

Green concluded that as political landscapes continue to reshape market dynamics, strategic diversification will be key for savvy investors navigating these uncertain times.

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Political uncertainties in Europe, the UK, and the US are driving market dynamics, making diversification crucial for investors, according to Nigel Green, CEO of deVere Group.

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string(0) "" ["value"]=> string(0) "" ["rawvalue"]=> string(0) "" } } ["link"]=> string(115) "/invest-money/investment-insights/diversification-key-to-managing-political-risks-in-global-markets-says-devere-ceo" ["image"]=> string(126) "https://res.cloudinary.com/momentum-media-group-pty-ltd/image/upload/v1722245084/pexels-august-de-richelieu-4427627_xbgty3.jpg" ["image_alt"]=> string(82) "Diversification key to managing political risks in global markets, says deVere CEO" } [5]=> object(stdClass)#8408 (57) { ["id"]=> int(18613) ["title"]=> string(82) "Diversify AI investments beyond Nvidia for long-term wealth, says deVere Group CEO" ["alias"]=> string(81) "diversify-ai-investments-beyond-nvidia-for-long-term-wealth-says-devere-group-ceo" ["introtext"]=> string(240) "

Investors should look beyond AI giants like Nvidia and diversify their investments across the wider AI ecosystem to build long-term wealth, according to Nigel Green, CEO of financial advisory and asset management firm deVere Group.

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While Nvidia's stock has experienced a remarkable 200% rise in share prices over the last 12 months, pushing its valuation past $3 trillion, Green argues that focusing solely on such giants may not be the most strategic approach for investors aiming for sustainable capital growth.

"Instead, a broader view of the AI ecosystem is your best option for sustainable growth of your capital," he said.

Green noted that while Nvidia's innovations in GPU technology have been instrumental in advancing AI capabilities, numerous other companies are making significant contributions across different segments of the AI ecosystem, including software development, cloud computing, data analytics, and AI-driven services.

"By diversifying investments across this broader ecosystem, investors can mitigate risks and capitalize on multiple growth avenues," he said.

Green highlighted the potential of new startups and smaller companies that are emerging with groundbreaking technologies, such as those specializing in natural language processing (NLP), which could transform industries like customer service, healthcare, and finance.

He also pointed to the importance of investing in the infrastructure supporting AI development, such as cloud service providers that offer scalable computing resources and AI tools, as well as companies focused on data management and analytics.

"As data becomes increasingly valuable, businesses that can effectively manage and analyze large datasets will be at the forefront of the AI revolution," Green said.

In addition to Nvidia, Green suggested investors should pay attention to other semiconductor companies that are investing heavily in AI-specific chipsets, which are crucial for enabling the computational power required by AI algorithms.

"By including these hardware providers in an investment portfolio, investors can gain broader exposure to the fundamental technologies driving AI advancements," he said.

Green concluded by saying that while Nvidia's success highlights AI's enormous potential, focusing solely on the titans is likely to mean missed opportunities to build long-term wealth.

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Learn the best strategies in investing and options like cryptocurrency, bonds, mutual funds, proper" ["page_description"]=> string(7) "nestegg" ["page_rights"]=> NULL ["robots"]=> NULL ["check_access_rights"]=> int(0) ["access-view"]=> bool(true) } ["initialized":protected]=> bool(true) ["separator":protected]=> string(1) "." } ["displayDate"]=> string(19) "2024-06-17 23:36:13" ["slug"]=> string(87) "18613:diversify-ai-investments-beyond-nvidia-for-long-term-wealth-says-devere-group-ceo" ["event"]=> object(stdClass)#8940 (3) { ["afterDisplayTitle"]=> string(0) "" ["beforeDisplayContent"]=> string(132) "

• Yes

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Investors should look beyond AI giants like Nvidia and diversify their investments across the wider AI ecosystem to build long-term wealth, according to Nigel Green, CEO of financial advisory and asset management firm deVere Group.

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string(0) "" ["value"]=> string(0) "" ["rawvalue"]=> string(0) "" } } ["link"]=> string(115) "/invest-money/investment-insights/diversify-ai-investments-beyond-nvidia-for-long-term-wealth-says-devere-group-ceo" ["image"]=> string(114) "https://res.cloudinary.com/momentum-media-group-pty-ltd/image/upload/v1718667251/pexels-fauxels-3184358_hchzav.jpg" ["image_alt"]=> string(82) "Diversify AI investments beyond Nvidia for long-term wealth, says deVere Group CEO" } }