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An indicator of commercial real estate transaction volume just improved for the first time this year

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An indicator of commercial real estate transaction volume just improved for the first time this year


Housing block in Warsaw, Poland

Busà Photography | Moment | Getty Images

A version of this article first appeared in the CNBC Property Play newsletter with Diana Olick. Property Play covers new and evolving opportunities for the real estate investor, from individuals to venture capitalists, private equity funds, family offices, institutional investors and large public companies. Sign up to receive future editions, straight to your inbox.

After a pullback in commercial real estate activity earlier this year due to broad economic uncertainty, there are new signs that activity is on the move again. 

Capital is increasing and “bidder dynamics” are stabilizing, according to JLL’s global Bid Intensity Index, which saw improvement in July — its first since December. 

The index measures bidding activity in order to give a real-time view of liquidity and competitiveness in private real estate capital markets. That, in turn, is an indicator for future capital flows across investment sales transactions.

It is composed of three sub-indices: 

  • Bid-Ask Spread: Final winning bid vs. the asking price
  • Bids per Deal: Average number of bids per deal
  • Bid Variability: Pricing variability of final bids

The stabilization in bidding dynamics comes as property sector performance fundamentals are holding up and asset valuations have generally held firm so far this year, despite weaker investor sentiment, according to the report.

“With no shortage of liquidity, institutional investors are returning to the market with more capital sources and a renewed appetite for real estate,” said Ben Breslau, chief research officer at JLL. “While further recovery is expected to be gradual after moderating earlier this year, borrowing costs and real estate values in most markets have stabilized, so we expect momentum to pick up through the second half of the year.”

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Bid-ask spreads, the difference between the highest price a buyer is willing to pay for an asset and the lowest price a seller is willing to accept, are narrowing to more healthy levels across multiple sectors. The sector seeing the most improvement is so-called “living,” which is largely multifamily apartments but also includes senior living and student housing.

Retail is doing better than last year, but has been in decline over the last few months as tariffs weigh heavily on that sector. Industrial is the biggest laggard, thanks to supply chain uncertainty also muddied by potential and real tariffs. 

Office bid dynamics are showing improvement, driven by a growing number of bidders and more lenders quoting on office loans. Some have called a bottom to the office market after its Covid-induced crash. Investors are bargain hunting in some cases, but as fundamentals strengthen with more return-to-office, overall deal demand is rising.

Bottom line: Investors appear to be accepting uncertainty as the new normal, according to the JLL report. Breslau said that includes accepting higher risk. 

“The attractiveness of CRE investments as a long-term store of value remains intact. As more investors move to a ‘risk-on’ mode, coupled with the exceptionally strong debt markets, we expect this will lead to continued growth in capital flows,” he said.

Correction: This article has been updated to correct a reference to Ben Breslau, chief research officer at JLL.



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Finance ministers and top bankers raise serious concerns about Mythos AI model

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Finance ministers and top bankers raise serious concerns about Mythos AI model



Experts say Mythos potentially has an unprecedented ability to identify and exploit cybersecurity weaknesses.



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Anthropic’s new AI model exposes fresh risks, flaws for cybersecurity, IT services – The Times of India

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Anthropic’s new AI model exposes fresh risks, flaws for cybersecurity, IT services – The Times of India


New Delhi: A powerful new AI model is forcing govts, banks, and technology firms to rethink the rules of cybersecurity – and in India, the stakes may be even higher.Claude Mythos, developed by Anthropic, has demonstrated the ability to autonomously detect and exploit software vulnerabilities, including flaws that have persisted for decades. Early tests revealed that the model could identify long-standing weaknesses and simulate complex, multi-step cyberattacks, prompting the company to restrict its wider release. Anthropic CEO Dario Amodei highlighted the shift, noting that AI systems are now capable of finding vulnerabilities “that humans have missed”, a signal of how quickly the cybersecurity landscape is changing.US Treasury Secretary Scott Bessent reportedly convened a meeting with top bank executives – including leaders from JPMorgan Chase, Goldman Sachs, Citigroup, BoA, and Morgan Stanley – to assess the risks posed by such advanced AI systems.That concern is not theoretical. According to Jaydeep Singh, GM for India at Kaspersky, the emergence of such systems represents a turning point not just for security professionals, but for everyday users. “We have been closely monitoring how AI is reshaping the threat landscape, and Claude Mythos represents a moment that every user, not just the cybersecurity industry, needs to understand,” Singh said.The dual-use nature of AI is at the heart of the concern. The same capability that strengthens defences can just as easily be weaponised. “The same capability that finds a 27-year-old vulnerability in hardened infrastructure is the capability that, in the wrong hands, turns every unpatched system into an open door,” Singh added.Cybersecurity firm Check Point Software Technologies echoed the warning. Sundar Balasubramanian, MD, India and South Asia, for Check Point, says, AI is “dramatically lowering the barrier to entry for cyber attackers,” enabling even less-skilled actors to identify and exploit vulnerabilities. He added that defensive tools can be repurposed offensively, compressing the traditional gap between attackers and defenders. Jayant Saran, partner, Deloitte India, described this as a “changed reality,” where organisations must prepare for risks that were previously invisible. He called AI a “double-edged sword…that cannot be reversed,” highlighting an accelerating race between those securing systems and those attempting to break them.In India, the risks are amplified by scale. From UPI to banking and govt platforms, millions depend on digital infrastructure – much of it built on legacy systems. These systems are often slower to patch, harder to monitor, and lack continuous threat intelligence, creating what Saran called an “asymmetric risk exposure.” Singh pointed out that this gap is especially critical in India, where legacy infrastructure serves hundreds of millions.Beyond cybersecurity, ripple effects could reach financial markets. Analysts say models like Mythos could automate parts of software development, testing, and security – core functions of IT services industry. While disruption may be gradual, labour-intensive outsourcing models could face pressure, while firms embracing AI may benefit.



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Could a digital twin make you into a ‘superworker’?

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Could a digital twin make you into a ‘superworker’?



Firms say digital twins make staff more productive, but are they a potential legal minefield?



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