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Gartner’s stock price plunge and G2’s diminishing traffic are indicative of a major transformation in the B2B research industry. The traditional systems—built on gated reports, pay-to-play models, and vendor-biased reviews—are rapidly being upended. This shift is primarily driven by AI technologies, with large language models at the forefront, reshaping how businesses engage with research. Buyers and sellers alike are recalibrating their strategies in response to a new landscape where access to data is instantaneous, personalised, and driven by real-time insights.

For decades, legacy firms like Gartner and Forrester dominated the research space, offering in-depth, but often slow-moving insights in exchange for high costs. Their traditional grid-based analyses, though respected, were perceived as rigid and sometimes outdated, providing a one-size-fits-all perspective. Meanwhile, review sites like G2 and TrustRadius aimed to offer faster insights but often faced criticism for shallow or vendor-incentivised content. While these platforms catered to buyers looking for swift answers, the reviews were often generic and lacked personalisation. Both models, while serving their purpose, have come to feel increasingly inadequate as the industry evolves.

Buyers today demand more from their research tools. The rise of AI-driven platforms reflects a shift in expectations: information must be fast, tailored, and integrated with peer reviews, all without the heavy influence of vendors. Traditional sales calls and vendor presentations are no longer desirable during the early stages of the buying process. A major change is evident: buyers prefer to gather 80% of their information before engaging with a seller. This has resulted in a steep rise in the demand for decision engines that empower buyers to do their own research in real-time, unencumbered by the noise of outdated models.

AI-powered platforms are addressing these pain points. By delivering instant, personalised answers and creating tailored recommendations, these technologies are challenging the dominance of traditional research firms. Large language models are particularly transformative, enabling AI systems to scan vast amounts of data quickly, providing up-to-the-minute insights and playbooks without the bottleneck of human oversight. The result is faster, more relevant research, cutting through the noise of traditional, vendor-centric approaches.

For sellers, this transformation represents both a challenge and an opportunity. Customer acquisition costs continue to rise, and potential buyers are increasingly resistant to early sales calls. With buyers now equipped with AI-powered research tools, sellers must adapt by providing value at earlier stages in the buying process. Simply put, the only path forward for sales teams is to help buyers conduct better research and make more informed decisions. Sellers need to move beyond generic content like SEO-optimised eBooks and instead offer real buyer enablement resources such as detailed playbooks, personalised vendor comparisons, and tools that foster collaboration with potential buyers.

Platforms like Zeer AI are already integrating these shifts into their go-to-market strategies. Through their Buyer-Led Agentic platform, Zeer is revolutionising B2B research by creating daily pulses that allow buyers to share their most pressing concerns directly with AI agents. These agents then provide instant, tailored insights, including vendor leaderboards and one-click access to personalised RFPs. The AI agents continually scan fresh content, ensuring that the insights buyers receive are always up-to-date and relevant. This constant stream of personalised data positions Zeer’s platform as a valuable tool in the decision-making process, offering buyers the resources they need to make better-informed decisions.

Zeer’s platform incorporates human-curated research through its network of experts, agencies, and consultants. This network aids in the identification of ‘soft intent’—when a buyer is interested in a solution but not yet ready to engage. Once a buyer interacts with a solution that resonates with them, the system seamlessly transitions from soft to hard intent, prompting a meeting with the vendor. This soft intent to hard intent progression streamlines the sales funnel, making the buying process more efficient and collaborative.

Foreign institutional investor activity has slowed, but India’s equity market is gaining a new level of sophistication thanks to the rapid emergence of long‑short strategies among domestic analysts. With regulatory approval of the Specialised Investment Fund route and increasing recognition of sell‑side research, analysts in India are setting new standards, outperforming peers in major global markets.

At the centre of this shift are flagship long‑short funds, enabled by an April amendment that allowed mutual funds to engage in both long and short equity positions via the SIF framework. Industry leaders such as ICICI Prudential, SBI, Quant and ITI Mutual Funds are among the first to roll out these products. This structural innovation, viewed by asset managers as a game‑changer, allows strategic hedging and enhanced alpha generation in volatile conditions.

Jatinder Pal Singh, CEO of ITI Mutual Fund, identifies the move as a watershed moment: “We see a lot of potential in this category similar to what we have seen in alternative investment funds…”. Quantitative and hedge fund entrants—AlphaGrep, Abakkus and Carnelian—are also applying for SIF licences, signalling a rising tide of systematic strategies.

The surge in long-short offerings emerges against a backdrop of changing investor sentiment and derivative market structures. While proprietary traders and retail continue to dominate derivatives trading—accounting for 52.3% and 33.6% respectively—domestic institutional participation remains minimal at just 0.2%. The launch of these funds is expected to usher in broader institutional adoption, reducing reliance on speculative flows.

Simultaneously, foreign players are reassessing their exposure. Citigroup downgraded Indian equities to “neutral” citing stretched valuations and slower earnings growth. Bank of America has flagged valuation concerns as part of seven headwinds to near‑term market performance, though it remains bullish on India’s long‑run structural strengths. Morgan Stanley echoes this optimism, describing the market as undervalued and promising for patient investors.

At the nexus of these developments, sell‑side analysts play a pivotal role. Their long‑short models provide more nuanced insights, enabling differentiated strategies compared to conventional long‑only approaches. This evolution mirrors practices in advanced markets, where close analyst coverage is integral to informed decision‑making.

International observers are taking note. Carson Block, known for his critical research into Chinese markets, is considering launching a long‑short or long‑only fund in India, citing opportunities in corporate transparency and leveraging tax-friendly jurisdictions like GIFT City. His interest signals growing confidence in the depth and potential of India’s equity ecosystem.

The broader equities landscape reflects these shifts. Foreign institutional investors are ramping up bearish positions in derivatives, signalling caution amid valuation concerns and global uncertainties. Concurrently, new equity supply is expanding, with a surge in IPOs and share sales reflecting a 14% rise in benchmark indices over the preceding six months. Analysts warn that without strong institutional demand, this wave may trigger volatility.

Experts argue the timing could not be better for long‑short funds. As valuations plateau and geopolitical uncertainty remains — including Middle East tensions affecting crude prices — the ability to manage risk through hedging becomes decisive. Fund managers are betting that structured strategies will better manage these headwinds.

At the same time, India’s growing affluent class—from double‑digit income growth to rising equity allocation—adds tailwinds. Wealth managers like 360 One are expanding advisory services amid rising assets under management, reflecting the country’s broader push toward financial sophistication. The development of long‑short funds aligns with these trends, offering differentiated solutions to high‑net‑worth investors seeking yield in uncertain markets.

Yet challenges remain. Institutional engagement in derivatives must scale meaningfully to support product viability. Regulators and market infrastructure will need to adapt, ensuring transparency and risk‑management frameworks keep pace. Moreover, investor education is critical; long‑short strategies are complex and require a clear understanding of leverage, margin risk and counterparty exposures.

Nonetheless, the direction is clear: Indian equity markets are transitioning from conventional long‑only investing to embrace multi‑directional strategies, leveraging deep local research and structural innovation. With the SIF framework opening doors for long‑short funds, analysts are stepping into roles once reserved for global peers. As Citi tones down enthusiasm and global investors tread cautiously, India’s analysts are sharpening tools that could redefine the domestic landscape—and perhaps export this model abroad.

Dubai has introduced the world’s first icon-based system to clearly signal whether content is crafted by humans, artificial intelligence, or a blend of both. Launched by Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum, the Human–Machine Collaboration classification marks a shift in content disclosure standards. The initiative requires government entities to adopt the system immediately, marking a drive towards accountability and public trust in an era of rapid AI integration.

The HMC framework comprises five primary icons: All Human, Human-Led, Machine-Assisted, Machine-Led, and All Machine, each reflecting increasing levels of machine involvement. Developers can further specify nine functional icons to indicate AI contribution across tasks such as ideation, data analysis, writing, translation, visuals, and design.

The system, developed by the Dubai Future Foundation and endorsed by Sheikh Hamdan in his capacity as Chairman of its Board of Trustees, is compulsory for all Dubai government research and knowledge publications. Media content, academic papers, technical reports, videos, academic journals and other multimedia outputs must now prominently display the appropriate icons. For non-government creators, the icons are voluntary but available for ethical transparency.

Sheikh Hamdan said transparency is essential for distinguishing human creativity from machine efficacy. He urged global content creators—researchers, publishers, writers, and designers—to adopt the new classification as a norm. On LinkedIn, he stated: “Today, we launch the world’s first Human–Machine Collaboration Icons…a new global benchmark in the age of AI,” inviting worldwide adoption.

The initiative meets growing demands for clarity around AI-generated content in scientific, academic, and creative fields. As AI technologies such as generative models and automation tools proliferate, distinguishing authorship becomes increasingly complex. The HMC system addresses this by offering concise visual indicators of machine involvement throughout a document’s lifecycle.

Beyond classification, the icons offer practical guidelines. Each icon can appear on the cover, footer, or bibliography of a document, with no numerical thresholds assigned. The nine functional icons enable precise reporting by highlighting stages influenced by AI, such as data collection or translation. The system avoids quantification due to challenges in objectively assessing AI contribution levels.

Dubai’s icon strategy is modelled on enhancing trust in public knowledge creation. Government entities in Dubai must adopt the icons; private sector use is labelled “opt-in and voluntary,” encouraging transparency across broader sectors. The icons aim to build credibility in educational materials, annual reports, research briefs, social media content, public-facing campaigns, and design outputs.

Industry experts have broadly welcomed the initiative. Fast Company Middle East noted the dual-layer approach offers transparency without excessive complexity, while Economy Middle East reported Sheikh Hamdan’s emphasis on the blurred lines between human art and machine output. Gulf News cited the icons as a tool for “honest self-assessment,” reinforcing accountability among content creators.

Academics and publishers are now exploring integration possibilities. The system could become a template for journal submission protocols or university publishing frameworks. Concerns persist about compliance monitoring and the potential for misuse—some question whether creators may understate AI contribution or apply icons inconsistently across formats.

Dubai Future Foundation has emphasised that icons are free to use and do not require licensing; they are copyrighted but freely deployable, with no prior permission needed. The foundation’s intention is to encourage natural adoption in scholarly work, media, and social channels, promoting a culture of transparency rather than regulatory enforcement.

Global observers note that while Dubai is first, other cities and institutions are likely to follow. The HMC icons address growing demand from research communities for AI disclosure standards, amid debates over authorship attribution, peer review confidence, and reproducibility.

Dubai’s initiative closes a gap in ethical AI practice by establishing a clear visual code for machine involvement. As AI-generated content becomes ubiquitous, its success will depend on global uptake, consistent application, and alignment with existing ethics and publishing standards. In the meantime, Dubai’s icons offer a blueprint for transparency, setting a new bar for content creation in the AI era.

GCC countries secured $3.4 bn from 24 initial public offerings in the first half of 2025, down 6% from $3.6 bn over 23 listings a year earlier, according to a report by Kuwaiti research firm Markaz. Saudi Arabia drove the surge, contributing $2.8 bn through 22 IPOs—an increase of 36% year‑on‑year—while the UAE and Oman saw more subdued performances.

Oil‑price volatility, US tariff threats and global trade uncertainty weighed on market sentiment, but issuance volumes rose. The number of offerings edged higher to 24 from 23 in H1 2024, illustrating issuer appetite amid wider economic headwinds.

Saudi listings captured 85% of the total proceeds, reinforcing its dominance in the regional IPO pipeline. The Kingdom raised $2.8 bn, up from $2.1 bn in the first half of 2024, with 22 issuances compared to 19 a year ago.

The UAE saw a substantial 88% drop in IPO proceeds, with just one public offering—Alpha Data—raising $163 m in Abu Dhabi. Oman followed with the debut of Asyad Shipping Company, generating $333 m on the Muscat bourse. No IPOs were recorded in Kuwait, Qatar or Bahrain during this period.

Sector analysis reveals the industrials segment led with $1.4 bn in proceeds, bolstered by Flynas and Asyad Shipping Company. Real estate followed with demand for development and construction offerings, while healthcare IPOs collected $505 m. Financial services and technology contributed $408 m and $204 m respectively.

Performance after listing was mixed. Ten of the 24 companies saw positive returns by the end of June. Asyad Shipping led the pack, with its stock surging 835% since its March 12 listing. Umm Al Qura in Saudi Arabia recorded a 51% gain. On the downside, Hedab Alkhaleej, Dkhoun National Trading and Service Equipment fell by 30%, 27% and 26% respectively. Flynas edged slightly lower by 0.2%, despite an initial dip.

Wider equity market performance across the region showed divergence. Kuwait’s bourse rose 18.1% year‑to‑date, followed by Dubai, Abu Dhabi and Qatar, while Oman, Bahrain and Saudi Arabia retreated by 1.7%, 2.1% and 7.6% respectively.

Geopolitical shocks—including renewed US tariff threats and oil price fluctuations— exerted pressure on national indices. On Monday, Saudi Arabia’s Tadawul shed 0.2%, while Dubai, Abu Dhabi and Qatar all fell in the range of 0.3–0.5%. Investors are watching US inflation signals and Fed decisions closely, given the peg of Gulf currencies to the dollar.

Despite softer proceeds overall, the strong issuance tally suggests issuers seized a narrow window before heightened uncertainty. A PwC analysis of Q1 showed GCC IPOs rose 33%, raising $1.6 bn from 11 deals, with Saudi Arabia capturing nearly 70% of that total.

Looking ahead, Saudi Arabia is expected to maintain momentum, driven by privatisation efforts and a diverse pipeline of government-linked listings led by the Public Investment Fund. The UAE is projected to ramp up activity in industrials and tech, while Kuwait is implementing regulatory reforms to stimulate listings.

Market analysts caution that global headwinds remain. PwC flagged how tariff announcements and macroeconomic instability continue to disrupt IPO sentiment globally. Within the GCC, sustained oil-price volatility and tightening monetary conditions add complexity.

Nevertheless, Gulf capital markets have demonstrated resilience. Encouraged by diversified sector participation and healthy post-listing gains, policymakers and market participants appear poised to capitalise on remaining windows of stability.