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Colorado’s AI law won’t take effect until at least May — after next legislative session — under latest special session bills

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The earliest Colorado’s first-in-the-nation law regulating artificial intelligence would now take effect is May, after next year’s legislative session, under a pair of proposals being considered by state lawmakers aiming to tweak the policy at the direction of the tech industry and Gov. Jared Polis.

That comes after Senate Majority Leader Robert Rodriguez, D-Denver, on Sunday amended his bill on the law to delay the start date from February. 

The seemingly minor change comes after four days of intense, albeit stalled, negotiations on the AI law during the special legislative session that began Thursday. However, it’s a big shift for Rodriguez, the author of the AI law, who was previously wholly opposed to pushing back the start date of the statute because he feared it would only further drag out nearly two years of negotiations on how to regulate AI in Colorado. 

Rodriguez said he was delaying the start date of the law to figure out which government agencies are using AI and how. “There’s more work to do,” he said. 

Senate Majority Leader Robert Rodriguez, D-Denver, speaks at a news conference on artificial intelligence regulation on Wednesday, Aug. 20, 2025, at the Colorado Capitol in Denver. (Jesse Paul, The Colorado Sun)

The delay may present a win for the tech industry, which had been asking for more time to hash out the policy. Polis had also been seeking a delay.

Rodriguez’s bill cleared the Senate Appropriations Committee by a 4-3 vote. It now heads to the full Senate for more debate — and likely more changes.

Rodriguez had to take the extraordinary step of tweaking the makeup of the committee — from a 4-3 Democratic advantage to a 5-2 Democratic majority — to get it out of the panel. A Democratic senator who appeared to be opposed to the policy, Sen. Jeff Bridges of Greenwood Village, was also replaced to ensure the bill’s passage. 

It’s highly unusual for a committee’s membership to be changed in the middle of a session, especially in order to pass a single bill.

Rodriguez’s measure, Senate Bill 4, would shift some of the regulatory burden onto AI developers instead of the companies and others — like schools, local governments and law enforcement — that deploy the tech. It’s supported by unions and consumer advocacy groups.

Another bill being debated in the Capitol during the special session that began Thursday would delay the start date of the law until October 2026. That bipartisan measure, House Bill 1008, has the backing of the tech industry and schools. However, it wouldn’t change the underlying law, instead fully punting the debate into next year.

The bill is pending in the House.

Assuming one of the bills passes, lawmakers will have an extra three months next year, during the legislature’s 120-day lawmaking term, to further tweak the law before it goes into effect. 

Most tech companies despise the change to the AI law in Senate Bill 4. They’re debating whether it’s better to let the original law go into effect or risk the passage of Senate Bill 4 in the hopes that changes are made during the regular legislative session that starts in January.

When Rodriguez passed Colorado’s law regulating artificial intelligence in 2024, it created an uproar over concerns it was too stringent and would stifle technological advances. At the time, he, the governor and the tech industry agreed to work together to make changes ahead of it going into effect. 

A message board outside the Colorado Senate shows the stalled status of a bill tweaking Colorado’s first-in-the-nation AI regulation law at the Colorado Capitol in Denver on Friday, Aug. 22, 2025. (Jesse Paul, The Colorado Sun)

However, an attempt earlier this year during the legislature’s regular session failed — as did a last-ditch effort to postpone when the law takes effect

Polis asked lawmakers to take up the AI law again this week when the legislature gathered starting Thursday for a special session primarily aimed at plugging a $750 million hole in the state budget caused by tax policy changes in the One Big Beautiful Bill Act. That’s the Republican federal tax and spending bill passed in July and signed into law by President Donald Trump.

The special session is expected to last through at least Tuesday. It could end later in the week pending more negotiations on the AI regulatory measures.

Everyone at the Capitol is “losing their minds”

Rodriguez and his allies on the bill ultimately agreed to the delay because they saw it as the only way to keep AI talks going during the special session. 

The AI law has split the legislature’s Democratic majority, causing deep policy rifts as the legislature also tries to tackle the state’s budget problem. Adding to the pressure is the condensed timeframe of the special session. 

While lawmakers don’t have a deadline to finish their work and adjourn, every day they remain in session costs taxpayers extra money. There’s limited air conditioning in the Capitol. People have Labor Day plans.

“I’m worried that we are rushing through something in this extraordinary session that will cause us to potentially pass some legislation that has a lot of unintended consequences,” said state Sen. Judy Amabile of Boulder, the lone Democrat on the Senate Appropriations Committee who voted “no” Sunday on Senate Bill 4. “I have been hearing that from people all over this building, losing their minds and not being able to agree. I mean, we have every single little fiefdom of stakeholder groups that are fighting with each other.”

Colin Larson, a lobbyist for Google and a former state representative, takes a call in a phone booth at the Colorado Capitol in Denver on Friday, Aug. 22, 2025. Larson was making the call amid fierce negotiations on Colorado’s AI bill. (Jesse Paul, The Colorado Sun)

She said Senate Bill 4 was not addressing the problems raised around the AI law.

“I feel like we have not solved this thing,” she said. “I don’t feel this policy is baked.”

Some Democrats lamented voting the bill out of committee while they still have serious questions about it, including how much the regulations will cost the state to enforce. 

“I’m voting to keep this bill moving on today so that negotiations can continue,” said Sen. Mike Weissman, D-Aurora.

This is a developing story that will be updated.



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How Artificial Intelligence is Redefining Business Process Automation

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In today’s fast-paced economy, businesses are under constant pressure to operate more efficiently while reducing costs and improving customer experiences. Automation has long been a solution, but traditional methods such as simple scripts or rigid workflows often fall short in terms of adaptability and intelligence. This is where artificial intelligence comes into play. By partnering with an Artificial Intelligence Development Company, organizations can unlock new opportunities for smarter decision-making, streamlined operations, and scalable growth.

The growing interest in AI-driven automation reflects its role as a key enabler of digital transformation. Unlike conventional automation, AI systems can analyze large datasets, learn from patterns, and make predictions that allow businesses to stay competitive in increasingly dynamic markets.

Why AI for Business Process Automation

Traditional automation methods—such as scripts or Robotic Process Automation (RPA)—are useful for handling repetitive, rule-based tasks. However, they lack flexibility and cannot adapt to new or changing conditions without manual intervention. Artificial intelligence takes automation a step further by enabling systems to learn, adapt, and improve over time.

Through machine learning and advanced data analytics, AI can identify hidden patterns, make predictions, and support real-time decision-making. This makes it possible not only to automate processes but also to optimize them dynamically, driving more value than traditional approaches.

Key Areas of Application

Finance
AI enables faster and more secure payment processing, advanced transaction analysis, and fraud detection systems that continuously learn to recognize suspicious patterns.

Marketing and Sales
From demand forecasting and personalized customer experiences to intelligent chatbots, AI helps companies better understand their audience and increase conversion rates.

Manufacturing and Logistics
AI-powered tools streamline supply chain management, predict equipment maintenance needs, and reduce downtime, ensuring smoother operations and higher efficiency.

Human Resources (HR)
Recruitment processes are enhanced through automated resume screening, predictive analysis of employee retention, and data-driven insights for workforce planning.

Advantages of Implementation

The implementation of AI in business processes brings several clear advantages. One of the most significant is cost reduction: by automating repetitive, labor-intensive tasks, companies can cut manual rework and optimize resource allocation, which lowers operating expenses without sacrificing quality. AI also accelerates processes, as models are capable of handling large data streams in near real time.

This speed translates into faster approvals, more efficient routing, more accurate forecasting, and quicker customer responses, all of which shorten cycle times. Another key benefit is error minimization. With advanced pattern recognition and anomaly detection, AI reduces human error, ensures data consistency, and helps stabilize performance metrics across workflows.

Finally, AI offers unmatched flexibility and scalability. Systems continuously learn from new data, allowing them to adapt to changing rules and business volumes, while cloud-native deployments make it possible to scale operations seamlessly as demand increases.

Potential Challenges

Despite these benefits, businesses face certain challenges when adopting AI automation. Costs and timelines are among the first hurdles. The discovery phase, data preparation, model training, and integration require significant upfront investment, and success often depends on a phased delivery approach to manage risk.

Data quality is another critical factor. If the available data is incomplete, biased, or siloed, the outcomes will inevitably suffer. Strong governance, robust cleaning pipelines, and continuous monitoring are necessary to maintain reliable results. Ethical and legal considerations must also be addressed.

Organizations need to ensure that their AI solutions operate with transparency, fairness, and respect for privacy, while remaining fully compliant with regulatory standards and internal policies.

Conclusion

AI-driven automation is now a core lever of competitiveness, improving speed, accuracy, and margins while enabling adaptive operations. Start small, pick a high-impact process, validate with a pilot, then scale iteratively with robust data governance and clear ROI checkpoints.

















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AI to Disrupt Stocks, Force Investors to adopt Bitcoin — Analyst

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Bitcoin (BTC) will be a better investment than stocks in the coming decades due to artificial intelligence speeding up innovation cycles, making public companies inefficient investment vehicles, analyst and investor Jordi Visser predicted.

“If the innovation cycle is now sped up to weeks, we are in a video game where your company never hits escape velocity, and in that world, how do you invest? You don’t invest, you trade,” Visser told Anthony Pompliano on Saturday. He also said:

“Bitcoin is a belief. Beliefs last longer than ideas. There are no companies in the S&P 500 from 100 BC; gold has been around since then. Bitcoin will be around for a long, long time. It’s a belief at this point, and people can fight it, but it’s going to be around. 

I think you want to start shorting ideas, and you want to be long beliefs,” Visser continued, adding that AI may compress what normally would have taken 100 years to accomplish in only five years. 

Visser makes his predictions about the future of Bitcoin and the stock market in the AI age. Source: Anthony Pompliano

The prediction sheds light on the potential future of finance and capital structures, as artificial intelligence and blockchain technology disrupt the legacy financial system, driving more value and participants to the digital economy.

Related: Bitcoin faces a fee crisis that threatens network security: Can BTCfi help?

Eric Trump predicts $1M BTC as public companies adopt crypto

Companies continue buying crypto and Bitcoin directly as treasury reserve assets, often rebranding as pure crypto treasury plays and dumping their legacy business models.

These legacy financial vehicles provide equity investors with indirect exposure to BTC and crypto, while siphoning funds from traditional capital markets to digital finance.

Eric Trump predicted Bitcoin would hit $1 million per coin, telling the audience at the Bitcoin Asia 2025 conference in Hong Kong that nation-states, wealthy families, and public companies are all buying BTC.

Bitcoin’s market capitalization is over $2.1 trillion at the time of this writing, with some analysts predicting that it will overtake gold’s market cap over the coming decades.

The digital asset’s cross-border nature and ability to earn yield through deployment in decentralized finance (DeFi) applications give it a competitive advantage over gold as a store of value, some crypto industry executives have argued. 

Magazine: Danger signs for Bitcoin as retail abandons it to institutions: Sky Wee