
How To Create An Investment Offering To Raise Real Estate Capital
An effective investment offering is set up like a pitch and includes your business plan along with details showing your credibility. It shows that you can identify opportunities, execute a project, and deliver results. I've seen successful investors use these to build long-term relationships with investors and partners who buy in to the vision and opportunity.
Start with the Story
Every good pitch begins with a compelling story. What problem are you solving? Is there an underserved neighborhood that needs more retail or modern office space? Have you identified a mismanaged multifamily property in a prime location? Investors want to understand both the deal and why it matters. Explain to them why now may be the best time to act.
Your story sets the tone, as it will lay out the opportunity and show that you've done your homework. Make sure to highlight your connection to the location, market insights, or anything unique that gives you an Insider's Edge. The more specific and grounded your story is, the more believable and compelling it will be.
Introduce the Team
Next, introduce who's behind the deal. If you're preparing a first investment offering, it can be a good idea to have a great partner and third party professionals. You'll be able to leverage their success to bring in capital.
Even if you're newer to investing, lean into your strengths. Perhaps you've underwritten dozens of deals, walked countless properties, or have mentors guiding you through the process. These things can build confidence. Investors want to know that you take this seriously and have the support needed to succeed.
Break Down the Deal
Once the story and team are in place, you'll need to clearly explain the deal itself. This includes:
Keep the numbers honest and conservative, as it will show you are transparent and realistic, which investors will appreciate. Provide context for your assumptions and back them up with market comps, construction estimates, or demographic trends. Define key financial terms as needed, especially if your investors aren't industry professionals.
You should also clearly explain your exit strategy. Are you planning to hold long-term and refinance, or sell in five years? What's the projected timeline for investors to receive distributions, and what returns should they expect? Include a summary table or visual that clearly lays this out.
Use a Professional Design
Include easy-to-read fonts, consistent branding, and easy-to-read layouts so that it is easy for investors to review. Add visual elements like property photos, location maps, and financial charts. Tools like PowerPoint, Canva, or even a graphic designer can help you make it look professional.
Finally, be ready to include additional materials in an appendix or data room. This might include detailed financial models, site plans, or sales comps. Some investors may want to look more closely at details before making a decision.
Your investment offering is an important tool to have as you invest in commercial real estate. It can help you communicate clearly and build trust. If it's done well, it could attract plenty of investors to your deal. You'll be well positioned to attract the capital and partners needed to grow your real estate business.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
44 minutes ago
- Yahoo
Elon Musk confirms xAI is buying an overseas power plant and shipping the whole thing to the U.S. to power its new data center — 1 million AI GPUs and up to 2 Gigawatts of power under one roof, equivalent to powering 1.9 million homes
When you buy through links on our articles, Future and its syndication partners may earn a commission. Elon Musk's next xAI data centers are expected to house millions of AI chips and consume so much power that Elon Musk has reportedly bought a power plant overseas and intends to ship it to the U.S., according to Dylan Patel from SemiAnalysis, who outlined xAI's recent progress in a podcast. Interestingly, Musk confirmed the statement in a subsequent tweet. Elon Musk's current xAI Colossus AI supercomputer is already one of the world's most powerful and power-hungry machines on the planet, housing some 200,000 Nvidia Hopper GPUs and consuming around an astounding 300 MW of power, and xAI has faced significant headwinds in supplying it with enough power. The challenges only become more intense as the company moves forward — Musk faces a monumental challenge with powering his next AI data center, one that is predicted to house one million AI GPUs, thus potentially consuming the same amount of power as 1.9 million households. Here's how the data center could consume that much power, and how Musk plans to deliver it. Elon Musk's xAI has assembled vast computing resources and a team of talented researchers to advance the company's Grok AI models, Patel said. However, even bigger challenges lay ahead. It is no secret that Elon Musk has already run into trouble powering his existing xAI data center. Currently, the company's main data center, Colossus, which houses 200,000 Nvidia Hopper GPUs, is located near Memphis, Tennessee. To power this machine, xAI installed 35 gas turbines that can produce 420 MW of power, as well as deploying Tesla Megapack systems to smooth out power draw. However, things are going to get much more serious going forward. Beyond the Colossus buildout, xAI is rapidly acquiring and developing new facilities. The company has purchased a factory in Memphis that is being converted into additional data center space, big enough to power around 125,000 eight-way GPU servers, along with all supporting hardware, including networking, storage, and cooling. A million Nvidia Blackwell GPUs will consume between 1,000 MW (1 GW) and 1,400 MW (1.4 GW), depending on the accelerator models (B200, GB200, B300, GB300) used and their configuration. However, the GPUs are not the only load on the power system; you must also account for the power consumption of CPUs, DDR5 memory, storage, networking gear, cooling, air conditioning, power supply inefficiency, and other factors such as lighting. In large AI clusters, a useful approximation is that overhead adds another 30% to 50% on top of the AI GPU power draw, a figure typically expressed as PUE (power usage effectiveness). That said, depending on which Blackwell accelerators xAI plans to use, a million-GPU data center will consume between 1,400 MW and 1,960 MW (given a PUE of 1.4). What can possibly power a data center with a million high-performance GPUs for AI training and inference is a big question, as this undertaking is comparable to powering the potential equivalent of 1.9 million homes. A large-scale solar power plant alone is not viable for a 24/7 compute load of this magnitude, as one would need several gigawatts of panels, plus massive battery storage, which is prohibitively expensive and land-intensive. The most practical and commonly used option is building multiple natural gas combined-cycle gas turbine (CCGT) plants, each capable of producing 0.5 MW – 1,500 MW. This approach is relatively fast to deploy (several years), scalable in phases, and easier to integrate with existing electrical grids. Perhaps, this is what xAI plans to import to the U.S. Alternatives like nuclear reactors could technically meet the load with fewer units (each can produce around 1,000 MW) with no direct carbon emissions, but nuclear plants take much longer to design, permit, and build (up to 10 years). It is unlikely that Musk has managed to buy a nuclear power plant overseas, with plans to ship it to the U.S. In practice, any organization attempting a 1.4 – 1.96 Gigawatt deployment — like xAI — will effectively become a major industrial energy buyer. For now, xAI's Colossus produces power onsite and purchases power from the grid; therefore, it is likely that the company's next data center will follow suit and combine a dedicated onsite plant with grid interconnections. Apparently, because acquiring a power plant in the U.S. can take too long, xAI is reportedly buying a plant overseas and shipping it in, something that highlights how AI development now hinges not only on compute hardware and software but also on securing massive energy supplies quickly. Without a doubt, a data center housing a million AI accelerators with a dedicated power plant appears to be an extreme measure. However, Patel points out that most leading AI companies are ultimately converging on similar strategies: concentrating enormous compute clusters, hiring top-tier researchers, and training ever-larger AI models. To that end, if xAI plans to stay ahead of the competition, it needs to build even more advanced and power-hungry data centers. Follow Tom's Hardware on Google News to get our up-to-date news, analysis, and reviews in your feeds. Make sure to click the Follow button. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
an hour ago
- Yahoo
'Into a void': Young US college graduates face employment crisis
Over two years, Rebecca Atkins filed more than 250 job applications, and felt like every one was going into a gaping chasm -- one opened by the highest unemployment rate for recent college graduates in the United States in more than a decade. "It was extremely dispiriting," said the 25-year-old, who graduated in 2022 with a degree in law and justice from a university in the US capital Washington. "I was convinced that I was a terrible person, and terrible at working." At 5.8 percent, unemployment for young, recent graduates from US universities is higher than it has been since November 2013, excluding 15 months in the Covid pandemic, according to official data. Moreover, it has also remained stubbornly higher than overall unemployment -- an extremely unusual situation, analysts say. And while overall US unemployment has stabilized between around 3.5 and 4 percent post-pandemic, unemployment for recent college graduates is only trending higher. The labor market for new grads has weakened consistently since 2022, with new hiring down 16 percent in 2025, year-over-year, according to payroll firm Gusto. Analysts say the trend is likely a result of cyclical post-pandemic hiring slowdowns -- particularly in new-grad-heavy sectors like technology, finance, and business information -- and overall economic uncertainty in the tumultuous early days of the Trump administration. That is scant consolation to the droves of young people -- often saddled with huge amounts of student debt -- on the hunt for their first full-time job. "All of the jobs that I wanted, I didn't have the requirements for -- often entry-level jobs would require you to have four or five years of experience," said Atkins, who bounced between part-time roles and working in restaurants for years. - 'Extremely high uncertainty' - "It is definitely an outlier," said Matthew Martin, senior US economist at Oxford Economics. "You'd expect that the white collar positions would not be as exposed to cyclical downturns (as other jobs)." Job openings for professional and business services have declined by more than 40 percent since 2021, according to research authored by Martin, with tech sector jobs disproportionately impacted. "Part of that is a slower pace of hiring as they right-size after they hired at very high rates in 2022, but at the same time the sheer volume of decline also points to the impact of AI," he told AFP, signaling the potential of artificial intelligence technology to eliminate some entry-level roles. Gregory Daco, chief economist at EY-Parthenon, said slowing tech sector hiring as companies focus on holding on to their talent "disproportionately" affects recent graduates. The hiring slowdown is also a result of US President Donald Trump's far-reaching policy swings since taking office in January, said Daco. "The experience of extremely high uncertainty when it comes to the administration's trade, tax or other policies has caused many firms to potentially slow down or freeze their hiring." He cautioned, however, against jumping to the conclusion that AI had already begun to eliminate entry-level roles, pointing to a so-far limited uptake of the technology by most sectors. "The reality is that a lot of firms are still in the early stages of adoption of these new technologies, and I think it would be a bit premature to assume that we've reached a level of use... that would have a visible macro impact." - 'Constantly working' - The United States is perhaps the most expensive country in the world for a university education, with an average cost of $27,673 per year for an undergraduate degree, according to official data. In 2020, 36.3 percent of US undergraduates took on federal student loans to help meet those spiraling costs, the data shows, with the Education Data Initiative putting average student loan debt for graduating students at $29,550. Even without student loan debt, however, the weakening job market can leave some recent graduates feeling like they are stretched thin. Katie Bremer, 25, graduated from American University with a dual-degree in Environmental Science and Public Health in 2021. It took her more than a year to find a full-time job -- one not in her field -- and even then, she had to supplement her income by babysitting. "I felt like I was constantly working," she told AFP. "It seems overwhelming, looking at the costs, to try and make your salary stretch all the way to cover all the milestones you're supposed to reach in young adulthood." There is little hope on the immediate horizon, with analysts warning that it will likely take some time for the labor market to resolve itself, with part of that adjustment likely seeing students picking different majors. "It's likely to get worse before it gets better," said Martin. Looking at her peers, many of whom are saddled with huge debt and struggled to find work, Bremer says she worries for their collective long-term future. "There have been times where I've thought 'how is my generation going to make this work?'" aha/sla Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
an hour ago
- Yahoo
Ingram Micro Issues Statement Regarding Cybersecurity Incident
IRVINE, Calif., July 06, 2025--(BUSINESS WIRE)--Ingram Micro Holding Corporation (NYSE: INGM) ("Ingram Micro" or the "Company") today issued the following statement with respect to an ongoing system outage: Ingram Micro recently identified ransomware on certain of its internal systems. Promptly after learning of the issue, the Company took steps to secure the relevant environment, including proactively taking certain systems offline and implementing other mitigation measures. The Company also launched an investigation with the assistance of leading cybersecurity experts and notified law enforcement. Ingram Micro is working diligently to restore the affected systems so that it can process and ship orders, and the Company apologizes for any disruption this issue is causing its customers, vendor partners, and others. About Ingram Micro Ingram Micro (NYSE: INGM) is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to a highly diversified base of business-to-business technology experts. Through Ingram Micro Xvantage™, our AI-powered digital platform, we offer what we believe to be the industry's first comprehensive business-to-consumer-like experience, integrating hardware and cloud subscriptions, personalized recommendations, instant pricing, order tracking, and billing automation. We also provide a broad range of technology services, including financing, specialized marketing, and lifecycle management, as well as technical pre- and post-sales professional support. Learn more at Forward-Looking Statements This release contains "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, Section 21E of the Securities Exchange Act of 1934, as amended, and the Private Securities Litigation Reform Act of 1995. You can identify forward-looking statements because they contain words such as "believes," "expects," "may," "will," "should," "seeks," "intends," "plans," "estimates," or "anticipates," or similar expressions which concern our strategy, plans, projections, or intentions. By their nature, forward-looking statements: speak only as of the date they are made; are not statements of historical fact or guarantees of future performance; and are subject to risks, uncertainties, assumptions or changes in circumstances that are difficult to predict or quantify. Our expectations, beliefs, and projections are expressed in good faith, and we believe there is a reasonable basis for them. However, there can be no assurance that management's expectations, beliefs, and projections will result or be achieved, and actual results may vary materially from what is expressed in or indicated by the forward-looking statements. Certain important factors that could cause actual results to differ, possibly materially, from our expectations, beliefs, and projections reflected in such forward-looking statements can be found in the "Risk Factors" and "Cautionary Note Regarding Forward-Looking Statements" sections included in the Company's Annual Report on Form 10-K and Quarterly Reports on Form 10-Q. We undertake no obligation to publicly update or review any forward-looking statement, whether as a result of new information, future developments, or otherwise, except as may be required by any applicable securities laws. You should not place undue reliance on forward-looking statements, which speak only as of the date they are made. View source version on Contacts Investor Relations Willa McManmonir@ Media Lisa Sign in to access your portfolio