Why AI is the Next Big Thing for Real Estate and Drug Development

The pharmaceutical industry is going all in on AI.

Experts at SCOPE 2025 revealed that AI-powered clinical operations are set to revolutionize drug development, cutting costs, improving efficiency, and transforming patient recruitment.

With the industry projected to spend over 407 million on AI platforms by 2028, the race to harness AI’s full potential is heating up.

Pharma’s Big AI Investment is a Game Changer for Drug Development

AI adoption in pharma is skyrocketing. In 2019, companies spent just 46.9 million on AI platforms. By 2028, that number is expected to surge past 407 million, a massive 24.1 percent compound annual growth rate.

But that’s just the beginning.

AI consulting and support services will exceed 2 billion by 2028, growing at an even faster 27.5 percent rate.

Why the rush? Because AI can do what traditional methods can’t. It streamlines clinical operations, accelerates patient recruitment, and reduces the staggering costs of drug development.

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Tempus AI is Leading the Charge

One company making waves is Tempus AI. Based in Chicago, Tempus is using AI to analyze clinical, genomic, and molecular data, helping pharmaceutical firms make smarter, data-driven decisions. Their latest breakthrough is Tempus One, a generative AI assistant built on a proprietary large-language model. This AI-powered tool enhances clinical care and research, setting the stage for an AI-driven future.

The impact? A 74 percent increase in AI hiring at Tempus in just the past month. That’s a strong sign that AI isn’t just hype. It is the future of pharma.

Breaking Down Barriers and the Roadblocks to AI Adoption

Despite the excitement, AI adoption isn’t without its challenges. Investors at SCOPE 2025 emphasized that for AI to succeed, companies must

• Ensure company-wide adoption across all departments

• Overcome regulatory hurdles to meet industry standards

• Build AI solutions that integrate seamlessly into existing systems

One major concern is siloed AI technologies that don’t play well with others. Zachary Taft, CEO of IgniteData, warns that the disconnect between pharmaceutical companies and contract research organizations is slowing down adoption. The solution is AI platforms must be vendor-agnostic, ensuring seamless integration across the industry.

The Urgent Need for AI in Pharma

Beyond cost savings, AI is becoming essential due to a looming patent crisis. Between 2026 and 2027, over 1,210 major drug patents will expire across the US, EU, and Japan. By 2034, that number jumps to 1,142 more. This means pharmaceutical companies must ramp up new drug development efforts, and AI is the key to increasing efficiency.

From automating clinical trial processes to improving patient recruitment, AI is set to reshape the way pharma operates. By speeding up drug development and reducing inefficiencies, AI is the best shot at solving the industry’s capacity problem.

How AI is Already Helping Real Estate Agents Win

While AI is transforming pharma, it is also revolutionizing real estate. Here is how agents are using AI to get ahead

1. Smarter Social Media Marketing

• AI tools like ChatGPT help real estate agents create high-converting social media content in seconds. From engaging captions to automated responses, AI is boosting agent productivity like never before.

2. AI Powered YouTube Videos

• AI tools like HeyGen are changing the game for real estate video marketing. Agents can now create stunning, professional videos without ever stepping in front of a camera.

3. More Effective Email Marketing

• With AI-powered automation, agents can personalize their email outreach, increase open rates, and nurture leads effortlessly.

The Future Belongs to AI Certified Agents

AI is no longer an option—it’s a must. Agents who embrace AI today will dominate the industry tomorrow. Don’t get left behind.

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“I think my follow-up has been far more consistent with AI. Everything kind of gets answered. I’m more on top of my emails, my people, LinkedIn, and Facebook—responding. But most importantly, following up after you talk to somebody and getting that out. That was one of my biggest hurdles.” – Kim Obert

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