The Financial Services Demand

Morgan’s Fusion, for example, offers standardized, aggregated private-markets data sets to institutional investors.69 This data-as-a-product approach can help enable consistency, discoverability, ownership, and reusability of data in both internal and external environments. For instance, banks like BNY are using external sources such as the National Institute of Standards and Technology’s AI risk management framework to align their use of data across the AI life cycle.68 US banks with previous experience in robotic process automation (RPA) financial services demand generation and AI should have established data catalogs, clear lineage, quality metadata, new controls, and continuous quality monitoring to improve the accuracy, calibration, and stability of AI models. Additionally, US banks that prepared their data for regulatory compliance should have helped with AI-readiness66 with cleaner, more traceable, and better-governed data. Our analysis indicates that data readiness for AI among US banks is highly uneven—both across banks and within the same institutions.64 While cloud migration should streamline and organize data better,65 “bad” data may have been migrated, or data may still exist in silos within the cloud.

This expertise can further streamline the transition for hyperscalers looking to scale quickly. The company has established numerous data centres and is assessing their suitability for use as AI or HPC data centres. Bitdeer, for example, is currently utilizing only 36% of its power and is evaluating the potential of allocating its energy resources to AI and high-performance computing (HPC) companies to generate income. At the same time, improvements in chip efficiency continue unabated, forcing miners to contemplate whether to push forward with aging ASIC hardware or perform comprehensive fleet upgrades. Additionally, with a rise in demand for power, even economically weak miners with access to power assets became attractive acquisition targets. According to a report by Galaxy Digital, public miners invested approximately $404,000 per MW for power access post-Halving, encompassing both immediate and future needs.

• Many banks are under pressure to scale and move beyond pilots, but 2026 will likely demand robust, enterprise-level strategies, governance, and a disciplined approach to return on investment.
• The primary objective of lead generation is to identify and capture individuals who have expressed interest in the company and have the potential to be converted into customers.
• According to a report by Galaxy Digital, public miners invested approximately $404,000 per MW for power access post-Halving, encompassing both immediate and future needs.

Long-term, off-peak power-purchase agreements financed by third parties enable miners to cover electricity costs today in exchange for a share of tomorrow’s AI-derived revenue. Financing strategies for AI/HPC transitions leverage existing mining infrastructure for high-value computing applications. This opens opportunities to secure funding from private equity firms, infrastructure investors, pension funds and life insurance companies eager to gain exposure to the data centre sector for its attractive yields. Although data centre infrastructure is costlier than Bitcoin mining, its predictable cash flows make it more straightforward to underwrite investments. Another key benefit lies in the access to deep capital markets that can aid in scaling operations. Companies reallocating their power and data centre resources from Bitcoin mining to AI/High-Performance Computing (HPC) can realise significant value accretion.

Built in Partnership. Delivered in Revenue.

Credit losses should remain manageable, as per the banks’ guidance.18 Higher unemployment could push provisions for loan losses a bit higher, but there should not be a dramatic spike. The commercial real estate market has seemingly turned the corner, with property sales activity continuing the recovery from last year.15 Commercial real estate loans have also seen some stabilization, but banks may remain selective with both existing and new borrowers. Yet, the competition from nonbanks and private credit firms should continue, especially in the middle-market segment.

Learn how Thought Leadership SEO can fit into your company’s marketing strategy

Effective B2B demand generation marketing recognizes that prospects don’t move linearly through a funnel but rather engage in various touchpoints across channels before making a purchase decision. Demand generation marketing refers to the collective marketing activities designed to create awareness and interest among potential buyers. B2B demand generation focuses specifically on creating awareness and interest among potential business buyers.

Implemented comprehensive analytics and A/B testing to continuously optimize demand generation performance. Intelligent lead scoring based on engagement, firmographics, and intent data with automatic routing to appropriate sales teams. Positioned executives as industry experts through whitepapers, articles, and speaking engagements.

Thought Leadership Content

In the financial services industry, creating demand for your services is essential, but it’s impossible to do effectively without first building a strong, recognizable brand. Integrating the two can help ensure that your marketing efforts are both comprehensive and cohesive. Don’t think of brand awareness and demand generation as separate entities. Tracking the success of both your brand awareness and demand generation efforts is critical. Your audience interacts with your brand across multiple channels, from your website to your social media pages, webinars, and email campaigns.

At Intent Amplify, we deploy AI across every stage of the demand funnel—from identifying buyer intent to automating personalized campaigns. The key is sequencing and personalization, which turn cold traffic into engaged leads over time. For example, a corporate finance team searching for “risk modeling software” or “AML compliance automation” is already moving through a buying cycle. Demand creation allows your brand to enter the conversation early, shaping perceptions and shortening the path to conversion.

The ABM Agency — for ABM and Demand Generation

While some clients note the high cost of services, it reflects the company’s specialized global expertise. CIENCE is a Denver-based lead-generation company that specializes in providing SDR teams to its clients. Founded by Evan Bailyn, a leading expert in GEO, First Page Sage ensures its clients’ products and services are recommended by AI search engines like ChatGPT and Google AI Overviews, creating a competitive advantage in the 2026 search landscape. We propel forward-thinking brands through a dynamic growth pipeline, immersive digital experiences, and expertise in creative, performance, digital ops, and lead generation.