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Illinois Defies Federal Push With First Law Banning AI From Acting as a Therapist

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Illinois has officially become the first U.S. state to restrict the use of artificial intelligence in mental healthcare, passing a landmark law that prohibits AI from serving as a stand-alone therapist and tightly regulates how licensed professionals can deploy the technology in practice.

Governor JB Pritzker signed the legislation — officially named the Wellness and Oversight for Psychological Resources Act — into law on August 1. Introduced by Representative Bob Morgan, the law seeks to draw a clear boundary: only human professionals licensed in mental health care are permitted to deliver psychotherapeutic services.

The move comes amid growing public concern about AI’s unchecked intrusion into sensitive areas of human life, particularly mental health. In a statement, Rep. Morgan said the law was a proactive response to troubling reports of individuals turning to AI-powered chatbots in moments of crisis, only to be met with dangerous — and in some cases, life-threatening — responses.

“We have already heard the horror stories when artificial intelligence pretends to be a licensed therapist,” Morgan told Mashable. “Individuals in crisis unknowingly turned to AI for help and were pushed toward dangerous, even lethal, behaviors.”

The law is in defiance of a broader push by GOP lawmakers in Washington to block state and local governments from independently regulating AI technologies. Earlier this year, Republicans proposed a sweeping federal bill that would have barred any state or municipality from enacting or enforcing laws aimed at regulating AI systems or automated decision-making technologies for a full ten years.

The bill ultimately failed, and a compromise was reached between Senator Marsha Blackburn (R-Tenn.) and Senate Commerce Chair Ted Cruz (R-Texas).

The revised version ties restrictions on state-level AI regulation to a $500 million federal incentive fund earmarked for telecom infrastructure and deployment. Under the new arrangement, any state that wishes to access the fund must agree to a five-year moratorium on implementing new AI-specific regulations — a notable reduction from the original ten-year proposal. However, exceptions are allowed for state laws regulating unfair or deceptive practices, child sexual abuse material, children’s online safety, and publicity rights.

Illinois’ decision to move ahead with its own AI guardrails despite the looming pressure from Washington signals a growing willingness among states to challenge federal efforts to centralize AI governance.

The new law bars mental health providers from using AI to independently make therapeutic decisions, interact with clients without supervision, or develop treatment plans unless reviewed and approved by a licensed human professional. It also closes loopholes that previously allowed unqualified individuals to advertise themselves as “therapists,” a growing trend driven by unregulated digital platforms.

Violations carry a financial penalty of up to $10,000 per offense, with fines scaling depending on the gravity of the breach. The law takes immediate effect.

A Historic First in U.S. AI Oversight

While several countries have begun exploring ethical frameworks for the use of AI in healthcare, Illinois is the first U.S. state to place direct legal limitations on AI’s role in therapeutic settings. It adds to Illinois’ growing portfolio of AI-related legislation, including recent updates to the state’s Human Rights Act. Those amendments make it unlawful to use AI in discriminatory employment practices — such as relying on zip codes as proxies for race or class — or to deploy AI screening tools without employee notification.

This latest legislation marks a turning point in AI oversight at the state level, signaling a growing discomfort with Silicon Valley’s rapid push to automate core human functions. The decision also serves as a rebuke to tech companies that have marketed AI chatbots as cost-effective substitutes for therapists, despite mounting evidence that such tools lack the emotional nuance, ethical grounding, and diagnostic precision needed for real care.

The Rise and Risk of AI Therapy

Over the past decade, as mental health care costs skyrocketed and access remained limited, a wave of apps and online platforms have emerged offering AI-powered chatbots as scalable solutions. Tools like Woebot, Replika, and even OpenAI’s own ChatGPT have been used by millions seeking mental health support.

Yet mental health professionals have long warned that these platforms are not equipped to handle complex or high-risk psychological needs. In 2023, researchers flagged that some users were taking AI advice as clinical guidance, blurring the line between chatbot conversation and genuine therapy. Experts warn that without clear oversight, these systems could not only breach patient confidentiality but also give harmful advice to vulnerable individuals — something even OpenAI CEO Sam Altman has acknowledged.

In one disturbing case, a Belgian man reportedly died by suicide after weeks of intensive, unsupervised interactions with an AI chatbot, which encouraged harmful ideation under the guise of companionship. The incident reignited calls globally for more rigorous AI regulation, particularly in mental health.

While the Illinois law is being praised by public health advocates and ethics watchdogs, it has also drawn criticism from sectors of the tech industry who argue that AI has the potential to widen access to care. They point to chronic underfunding of mental health systems, shortages of licensed therapists, and rural populations with no access to in-person support.

However, the state’s bold move could set a precedent for other states, many of which are grappling with similar concerns. Lawmakers in California have already introduced legislation related to AI and healthcare, and observers say it’s only a matter of time before the issue reaches the federal level.

“By clearly defining how AI can and cannot be used in mental health care,” said Rep. Morgan, “we’re protecting patients, supporting ethical providers, and keeping treatment in the hands of trained, licensed professionals.”

Budget Brilliance: What Our Data Says About High-ROI Channels for Small Businesses

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For small businesses trying to make every dollar count, figuring out where to invest in marketing can be a real challenge. There are countless options available, each promising big results, but not all of them deliver the same value. To help make that decision easier, we looked closely at how companies are actually spending across five key marketing channels: content, email, influencer, search ads, and social media.

The patterns that emerged from the data give us a clearer picture of where businesses are seeing the most return. While no single approach works for everyone, this insight offers a helpful guide for small businesses looking to stretch their marketing budget further.

Search Ads: Clear Front-Runner in Spending and Impact

Among all the channels we analyzed, search advertising came out on top in terms of investment. Businesses are directing more money here than anywhere else, which points to a high level of confidence in its performance. That makes sense when you consider what search ads offer. They allow you to appear right when someone is actively searching for a product or service like yours. It is targeted, direct, and often leads to quick results.

For small businesses, this can be especially powerful. You don’t need to build awareness over months. You can reach people who are ready to take action now. If the goal is quick wins and measurable outcomes, search advertising is a strong choice.

Email: Quietly Effective and Consistently Used

Email marketing doesn’t grab headlines the way some newer channels do, but the data shows that businesses consistently rely on it. The amount being spent on email tends to be more modest, but it is steady. That tells us something important. Email continues to be a reliable performer.

It is cost-effective and works especially well for keeping in touch with past customers, sharing promotions, or providing updates. For small businesses, email is a low-risk channel that offers high value without requiring a large budget. It may not have the flash of other strategies, but it delivers results in a consistent and affordable way.

Influencer Marketing: High Potential with Careful Use

Influencer marketing has been growing in popularity, but our data shows that most businesses are approaching it with caution. While some are investing heavily, many others are starting with smaller amounts. This suggests that companies are still testing and learning in this space.

The right influencer can absolutely deliver strong results, especially when their audience matches your target market. But the outcomes can vary widely depending on the fit and the content. For small businesses, the best approach may be to experiment with smaller partnerships first. Learn what works, and then consider growing your investment.

Content and Social Media: Building Trust and Staying Visible

Content marketing and social media show a similar pattern of investment. They may not receive the highest budgets, but businesses are still putting meaningful resources into both. That reflects their value in building brand awareness and trust.

Creating good content and sharing it through social channels is a great way to stay connected with your audience. These channels support long-term growth by helping people learn about your business and see the value you offer. While they may not always lead to immediate sales, they play a key role in shaping perception and building relationships.

Making Smarter Choices with Your Budget

So what should a small business take away from all this? It depends on your goals.

If you want fast, measurable results and are ready to pay for visibility, search ads are a strong option. If you are looking for a dependable and affordable way to engage your audience, email is hard to beat. If you are hoping to grow through word of mouth and personal connection, influencer marketing may be worth exploring, but it’s wise to start small. And if your focus is on building a presence and gaining trust, content and social media are valuable tools.

Ultimately, the most effective marketing strategies are the ones built on intention. They reflect a clear understanding of both the audience and the goals. With the right balance, even a modest budget can support strong, steady growth.

This data shows that successful marketing is not always about spending more. It is about knowing where and how to spend in a way that aligns with your business. That is the kind of brilliance that turns a limited budget into a powerful tool for long-term success.

From Likes to Leads: How SMEs Can Turn Social Engagement into Conversions

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When Melissa launched her online boutique, she poured hours into building an Instagram following. Her posts were beautiful, her reels polished, and her follower count steadily climbed. Within months, she was hitting thousands of likes on product photos and generating an impressive stream of engagement. But there was one problem. Sales weren’t growing.

Melissa’s story is not unique. Across industries, many small and medium-sized enterprises (SMEs) chase social media engagement as a sign of progress. They celebrate spikes in likes, shares, and views, hoping it will translate into leads and conversions. Yet, when we analyzed digital marketing data from a range of SMEs, a surprising truth emerged. There was no significant difference in conversion rates between businesses with high engagement and those with lower numbers. Even among those labeled as “successful,” the average conversion rate hovered around 0.50, exactly the same as their less successful counterparts.

This insight flips a common marketing belief on its head. Engagement is often treated as a proxy for business performance, but in reality, it can be a misleading indicator. High engagement doesn’t guarantee customer action. It doesn’t guarantee sales. What it does guarantee is attention, and attention without direction is wasted potential.

Our data analysis showed that even businesses generating hundreds of thousands of engagement points failed to see a conversion advantage. The variation in engagement was wide, but the resulting conversion rates were virtually the same. This points to a deeper issue: engagement efforts are often misaligned with business objectives. Likes may look good on a dashboard, but if they aren’t moving the needle on revenue, they may not be worth the effort.

The key takeaway for SMEs is to stop assuming that engagement equals success. Instead, focus must shift toward understanding and influencing the behaviors that lead to conversion. That means asking tough questions about audience quality. Who is engaging with your content? Are they in your target market? Do they have buying intent?

Another common issue is the content itself. Many SMEs create content that pleases the algorithm but doesn’t speak to the customer’s needs or journey. Viral posts may get traction, but if they’re not aligned with the problems your product solves, the traffic they generate is unlikely to convert.

It also becomes clear that the customer journey doesn’t end with engagement. It barely begins there. Once you’ve captured someone’s attention, you need a smooth and compelling pathway to guide them toward action. That involves optimizing landing pages, clarifying calls to action, and eliminating friction from the buying process. Too many businesses stop at the click and fail to convert the curiosity they’ve generated into a meaningful next step.

Moreover, SMEs should not overlook the value of retargeting. Not every potential customer will convert on the first visit. By using tools that allow you to follow up with people who engaged but didn’t act, you increase your chances of eventually winning their business. These efforts often yield more consistent results than top-of-funnel engagement plays.

There is also an element of measurement maturity that many SMEs need to develop. While it’s easy to focus on vanity metrics like impressions and reach, more valuable insights come from tracking metrics such as click-to-lead rate, return on ad spend, and customer acquisition cost. These are the numbers that tell the real story of how effectively your marketing efforts are driving business outcomes.

Reflecting on Melissa’s experience, she eventually shifted her strategy. She began prioritizing her website funnel, redesigned her product pages, and ran small retargeting campaigns for visitors who didn’t purchase. She also started producing content aimed not just at getting attention but at answering specific customer questions. Within a few months, her conversion rates improved and her revenue began to match the hype of her social following.

The lesson here is clear. Engagement is valuable, but only when it is tied to a broader conversion strategy. Likes are a signal, not an outcome. If you’re an SME leader or marketer, the goal should be to make every like and every comment a meaningful step on the customer journey, one that leads not just to attention, but to action.

In the end, success comes not from being seen, but from being chosen. SMEs who understand this difference are the ones who will turn engagement into growth and likes into loyal customers.

Autodesk CEO Says Interdisciplinary Thinking Is Now More Vital Than Coding Amid AI’s Disruption of Tech Jobs

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Autodesk CEO Andrew Anagnost has said that interdisciplinary thinking and systems-level understanding are now more critical than coding, as artificial intelligence increasingly takes over core programming tasks once reserved for software engineers.

Anagnost, who holds a Ph.D. in aeronautical engineering and computer science, said in an interview with Business Insider that the traditional emphasis on deep, narrow expertise is being upended by AI tools capable of generating code with minimal human input.

“If the coding models are going to be doing the code for you,” he explained, “what’s more important is that you understand there’s this whole notion of systems-level and interdisciplinary thinking.”

His comments reflect a shifting philosophy in the tech world, where tools like OpenAI’s Codex and GitHub Copilot have made it easier for non-programmers to generate functional software. Anagnost argued that coding is no longer the sole domain of trained computer scientists and that the future belongs to what he called “creative orchestrators” — humans who manage outcomes across disciplines while using AI to execute the technical details.

AI Changes the Nature of Work

Anagnost’s remarks come at a time when artificial intelligence is disrupting the foundation of software development. AI-powered coding assistants now enable even those without computer science degrees to build applications, changing who gets to participate in software creation.

“There’s no doubt as we move into the future, more people are going to be generating code in some way that runs computers in new and interesting ways,” Anagnost said. “It’s just going to be different people.”

He believes that AI tools are democratizing software development, reducing the need for extensive coding education for many roles. Rather than focusing on syntax or algorithms, future tech professionals will need to understand the broader context: how products function, how to communicate across disciplines, and how to guide AI agents to deliver results.

A Shift in Hiring and Education

This shift is also transforming how companies think about hiring. According to Anagnost, software companies have traditionally relied on teams made up of product managers, designers, engineers, and QA testers. With AI systems increasingly handling the heavy lifting, those teams may shrink to just two key players: a designer and a human partner orchestrating AI systems.

“There’ll probably be less people with traditional computer science degrees in software companies,” he said, “but there’ll probably be more people creating product than ever before.”

That means the education system must also evolve. Anagnost called for schools and universities to focus on teaching critical thinking, creative problem-solving, and interdisciplinary collaboration — all skills that will become more vital as AI becomes more capable.

In particular, he emphasized the need for “total systems thinking” — the ability to understand how multiple systems interact to produce an outcome — as a defining trait of the next-generation tech workforce.

A Broader Conversation in Tech

Anagnost’s views mirror a growing sentiment across Silicon Valley, where executives and engineers alike are coming to terms with AI’s potential to eliminate or reshape traditional roles. Many tech leaders, including Elon Musk and Sam Altman, have warned that AI will redefine not just who builds software but how it is built, with broader implications for education, labor markets, and innovation.

Already, AI is powering everything from software testing to customer service and product design. As these tools continue to evolve, Anagnost believes that success in the industry will depend less on raw technical skills and more on the ability to manage and integrate diverse ideas, teams, and tools.

He said the world is moving into a future where creativity and coordination matter more than code.

$TOWNS Airdrop and Staking Mechanism are Strategic Moves to Bootstrap the Towns Protocol’s Ecosystem

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The Towns Protocol $TOWNS airdrop checker is live, allowing users to verify their eligibility for the token distribution event scheduled for August 5, 2025. To check eligibility, visit the official Towns Protocol Eligibility Checker, ensuring the URL is correct to avoid scams. Paste the wallet address used for Towns activities and click “Check Eligibility.”

The system will display the allocated $TOWNS tokens if eligible or notify you if not. Eligible users can stake tokens to their favorite Town (Space) during the claim process to unlock special features and future rewards. Eligibility is based on activities like creating or engaging in Spaces, contributing to protocol development, or participating in community campaigns, with snapshot data from earlier in 2025 determining qualification.

The airdrop allocates 9.87% of the 10.128 billion total token supply (approximately 1 billion $TOWNS) to early users and collaborators. KYC verification and jurisdictional compliance may be required, and stakers can receive a 50% bonus with a 30-day withdrawal lock. Always use official channels and beware of scams.

The airdrop incentivizes early adopters, developers, and community members who contributed to Towns Protocol’s ecosystem (e.g., creating Spaces, engaging in campaigns, or protocol development). By rewarding these users with ~1 billion $TOWNS tokens (9.87% of the 10.128 billion total supply), the protocol strengthens community loyalty and encourages further participation.

It signals a commitment to decentralization, aligning with the protocol’s mission to create a user-owned, privacy-focused social platform, potentially attracting more users disillusioned with centralized platforms. Distributing tokens to a wide range of participants (early users, moderators, developers) helps decentralize governance and ownership. Token holders may influence future protocol decisions, fostering a community-driven model.

The airdrop could increase the number of stakeholders, reducing the risk of centralized control and enhancing network resilience. The airdrop may drive initial liquidity and trading activity for $TOWNS once listed on exchanges, though no specific exchange listings were confirmed in the data. Increased token circulation could attract speculative interest but also risks short-term price volatility if recipients sell immediately.

The 50% staking bonus (with a 30-day lock) aims to mitigate sell-off pressure by encouraging holders to stake, potentially stabilizing token value in the early stages. Towns Protocol emphasizes end-to-end encrypted communication and user-controlled data, positioning $TOWNS as a governance tool for a privacy-centric social platform.

The airdrop could amplify adoption among users prioritizing data sovereignty, challenging platforms like X or traditional social media. Scams are a concern, as fraudulent airdrop checkers or phishing sites could exploit users. The official eligibility checker requires careful verification of URLs.

Users who stake their $TOWNS tokens to a favorite Town (Space) during the claim process receive a 50% bonus on their staked amount. For example, staking 100 $TOWNS would yield an additional 50 $TOWNS, increasing the user’s holdings.

This bonus is locked for 30 days, encouraging longer-term commitment to the ecosystem. Staking unlocks exclusive features within Towns, such as enhanced moderation tools, premium community functionalities, or access to private Spaces. These perks incentivize active participation and improve user experience.

Staked tokens may grant governance rights, allowing users to vote on protocol upgrades, Space management, or resource allocation, empowering them to shape the platform’s future. Stakers are positioned to earn additional rewards from future campaigns or protocol-generated revenue (e.g., transaction fees or premium services), though specifics depend on the protocol’s roadmap.

Staking supports the Towns ecosystem by allocating resources to specific Spaces, enhancing their visibility and functionality. This strengthens the chosen communities and aligns with the protocol’s decentralized ethos. Stakers contribute to network security and stability, as locked tokens reduce circulating supply, potentially supporting token value.

If token prices fluctuate significantly during the 30-day lock, stakers may face opportunity costs or reduced value upon withdrawal. Users must weigh the benefits of staking (bonus tokens, features) against the inability to trade or transfer tokens during the lock period.