GLOBAL RESEARCH ARCHIVE
Australian Insurance
Research evidence excerpt
Australian Insurance
across the organisation with limited visibility on ROI; #2) corporates Recommendation Underperform
are using AI for spot fixes rather than end to end organisation redesign, PriceTarget(CLOSE,Price 23 Jun '26) $6.91$6.10
constricting ROI; #3) most insurers are talking about using AI in the call Valuation methodology DCF
centre, but very few have deployed the tools as yet; and #4) even if cost WACC (Beta 1.15x, ERP 5.2%, RFR 4.7%, TGR 4.7%) 10.6%
savings are achieved, these savings will likely be reinvested in growth. Source: FactSet, Macquarie Research, June 2026
Here comes the night: ASIC released an AI "call to action" on 8 May, while
APRA circulated a letter to the industry on 30 April, presenting findings Impact of AI on Insurer Divisions
Claims +
of its review of deployment and governance of AI. We see it as inevitable OPEX +
that Australian regulators will impose additional capital restrictions on Pricing +
Australian financial services firms, citing CPS234. Further, we are already Distribution -
hearing industry feedback that probabilistic AI engines do not align with Competition -
deterministic nature of the Australian regulatory environment. We suspect Source: Macquarie Research, June 2026
this will receive more airtime, with the potential for class actions on pricing
models and claims-handling practices.
EPS changes
To build a home: Model Context Protocol (MCP) is the open standard • IAG downgraded to Neutral (from Outperform):
Anthropic, OpenAI, Microsoft and many others have all adopted to let LLMs FY26E: -7.1%; FY27E: -0.5%; and +0% to -8%
thereafter. TP $8.50 (from $9.00) reflecting
call external tools and surface data and app experiences directly inside the lower terminal margin. IAG's starting point on
conversation.
The English excerpt is extracted automatically from the cited source page and may contain layout or recognition errors. It is never batch translated.
Open report viewer