This month big tech companies have been dominating the AI news cycle on a number of fronts.
For starters, Meta has continued with a willingness to look at its own company to trial experimental innovations and find out how AI tools actually perform. The first of these came with news that Meta is set to install tracking software on employees’ work computers. However, this isn’t to measure productivity and outputs, but instead to capture a new data channel for its own AI training pipeline in the form of mouse movements and clicks.
Meta also announced plans to create a bespoke AI avatar built around the thoughts, tone and mannerisms of its CEO Mark Zuckerberg.
According to the announcement, Meta hopes to improve staff engagement by giving employees a way to communicate with the CEO and ask questions about company strategy and internal matters.
While we’re yet to see whether an AI-powered version of Zuckerberg will hit the mark or fall into the uncanny valley category, it does point to a wider trend in which AI is increasingly used as an HR and employee branding tool. Synthesia, a $4 billion UK-based startup that makes realistic video avatars, believes people perform better when information is delivered by a familiar face and the idea of a senior company executive using AI to increase their internal presence is on the rise.
Moving on, April is also the month that big tech heavyweights prepare to face off in the courtroom after Elon Musk accused Altman of deceiving him into donating $38 million to OpenAI.
Court proceedings begin on April 27, and legal experts have explained that the trial could have a monumental impact on the future of OpenAI if the judges rule the company must revert to being a non-profit entity.
If this happens and ChatGPT is out of the race commercially, competitors on the market like Claude and Gemini gain a significant edge.
Infor and Amazon Web Services (AWS) have announced the development of advanced industry-specific AI agents built natively on AWS. This solution enables manufacturing and distribution organisations to implement tailored AI agents capable of reasoning and planning.
Aside from the headline news at big tech firms, AI companies across industries have been busy. Here is our roundup of interesting AI announcements and stories from elsewhere in the news this April.
More students set to benefit from AI-native education as ElevenX Capital invests in IvySchool.ai
On a mission to build a next-generation learning platform and address the growing gap between traditional education and AI-era capabilities, IvySchool.ai, led by Bob Chopra, offers programs in full-stack development, machine learning, artificial intelligence, cloud computing, and startup building.
Now, a strategic investment from ElevenX Capital promises to nurture a new generation of truly AI native students and reshape how educators think about technical skills.
ElevenX Capital is a venture platform focused on building and investing in technology companies across artificial intelligence, education, and frontier innovation. The firm partners with founders and operators to create scalable companies addressing major global challenges.
As ElevenX Capital and IvySchool partner up, the investment will provide capital, technology infrastructure, and strategic guidance to help the platform to scale globally and democratize access to its training to more students.
Planno AI helps Austin, Texas, meet energy-intensive needs of local tech industry
In recent years, the city of Austin in Texas has redefined its role to become a leading player in the tech industry.
However, to build a foundation in AI and computing, the region has rapidly expanded its data center infrastructure, with companies like Microsoft and Amazon investing heavily in the region to support big tech AI initiatives and meet the demands for AI in the market.
Planno AI is set to help Austin offset the energy-intensive demands of these data centers by maximizing solar capacity through unused commercial and industrial rooftop real estate.
The solar AI startup released a new market report for Austin, TX, which notes that only 2.6% of buildings currently have solar installed. Its geospatial AI platform notes there are 3.4 GWp of untapped potential that will help to meet the energy needs of the city.
New report from Solvd shows enterprise executives are strategically rebranding AI pilots in 2026
AI engineering firm Solvd released its report in April after surveying 500 U.S.-based CIOs and CTOs at organizations generating more than $500 million in annual revenue.
Their findings pointed to a paradox at the heart of enterprise AI adoption in 2026 Although companies may be eager to see a return on their AI investments, the data shows they aren’t moving forward prematurely.
The complexity of using AI at scale across the enterprise means that experimentation without immediate or proven return on investment is now the norm, not the exception. Even so, a striking 90% of respondents say they expect to increase investment in innovative AI initiatives over the next year.
According to the company, what changed was not the appetite for experimentation, but the expectations around how it’s managed.
Ourself Health brings AI to hormonal healthcare with launch of Stella
Ourself Health is a women’s health platform founded by Adriana Torosian to support women’s health with data-driven insights for general wellbeing, the perimenopause and the menopause.
This April, the healthcare startup shared details of its new AI-powered health companion that is custom-built to give women clearer insights into their hormonal health and any imbalances.
Stella is designed to act as an intelligent layer that connects the dots between a user’s symptoms, hormonal cycles, and daily lifestyle patterns.
According to the company, Stella is “your AI health companion trained across the full spectrum of women’s health — and grounded in your personal data, not textbook averages.”
In a time of AI disruption, Brands Like Bands brings corporate engagement to Brazil
On April 26th Brands Like Bands, founded by Fernando Gaspar Barros, is heading to the Manifesto Bar in Vila Olímpia, São Paulo, Brazil, for a creative event that blends music culture with employee branding.
While corporate organizations adopt AI at scale and employees are grappling with digital disruptions, Brands Like Brands allows employees to take to the stage alongside major artists.
By taking employee engagement out of the boardroom, participating companies can create lasting experiences to enhance company culture.
The event in Brazil is part of a global tour where Brands Like Bands will travel across seven countries and eight cities, including Porto, Lisbon, São Paulo, Florence, Barcelona, Berlin, London, and Oulu.
Aurion Capital drives progress on AI initiative in Arizona
Arizona is another place in the US that has rapidly transformed its infrastructure to enter the high-tech industries, thanks to a stronghold in semiconductor manufacturing sites in the region that are accelerating the AI industry.
Now, a new initiative is driving AI innovation in Arizona across several industries. The venture, launched in association with the Arizona Commerce Authority and LG Electronics, was at the centre of a Forbes feature on AI innovation in the state.
The authors highlighted the role of VC firms in the story.
Here, the founder of Aurion Capital, Ali Diallo, is bridging Silicon Valley with regional AI hubs through NovaWave Capital, created to support businesses under LG Electronics’ North America Innovation Center LG NOVA.
Ness Digital Engineering named one of the top Salesforce implementation partners in 2026
Salesforce has been a pioneering force for the digital economy since the late 90s, thanks to its customer relationship management platform.
The company was one of the first to make cloud applications and SaaS commonplace in workplaces worldwide, disrupting the previous era of bulky, on-device installations.
This month digital transformation enterprise Ness Digital Engineering was named one of the 10 leading Salesforce implementation partners in 2026.
This followed recent news of Sudip Singh joining as CEO of the KKR portfolio company.
ADvendio enhances AI features for media sales
ADvendio specialises in solutions for digital advertising, and the company has placed itself at the forefront of AI adoption for the industry.
While sectors like sales and marketing have a suite of tools at their disposal, advertising has continued to struggle to handle fragmented channels with manual approvals slowing the pace of AI automations.
The latest Revenue OS launch from ADvendio promises to solve this by connecting different parts of the advertising business into a single system to create a unified advertising platform.
The update introduces automated campaign optimization, predictive revenue modeling, and intelligent forecasting, helping media companies maximize yield across channels and unlock scalable solutions for retail media.
Chromatics AI addresses the pervasive issue with legacy software
This month, Larry Adams, Executive Chairman at AI software development firm Chromatics.AI, raised attention about the pervasive issue of legacy software that still stands in the way of AI progress on a large scale.
His comments highlighted the widespread barriers to AI due to companies still operating off disconnected databases, manual reports, and weekly reconciliations.
This stops companies from being able to operate at modern speeds due to a lack of real-time visibility.
Adams concluded by highlighting that the most competitive companies are reviewing data analytics on a daily basis, with quarterly reports near-obsolete.
Prezent AI launches biopharma toolkit to take data to the boardroom in minutes
For biotech and pharma companies, AI represents a key competitive advantage across every function, from R&D to patient care to boardroom communication.
This April, Prezent AI shared details of a new biopharma toolkit to turn complex pharma data into clear, impactful presentations instantly, from reports and briefs to stakeholder-ready decks.
With a staggering suite of over 35,000 brand-approved slides combined with automated story building functionality, biotech teams have a way to rapidly convert data into boardroom-ready presentations in minutes.
The platform also ensures that global biopharma companies can discuss product launches, quarterly reviews and funding updates to every team with AI-powered presentations in 13 languages.
Debbie reimagines rewards with AI-driven financial literacy
Debt in the US is currently at record highs. According to the Federal Reserve Bank of New York, American credit card debt reached $1.277 trillion in the fourth quarter of 2025. For many Americans, this is also persistent debt, with 61% carrying their credit card debt for more than a year.
The structure of the financial system has long meant that consumers are rewarded for spending more. Having a credit card is needed to build up a credit score, and many providers offer incentives for purchases. However, as the data shows, this encourages many people to spend more than they have, leaving them stuck in long-term debt that will negatively impact their long-term financial health.
Debbie is a fintech startup that is trying to challenge the status quo with the launch of “Rewards 2.0,” a system that rewards users for positive financial behaviors, such as saving money, paying down debt, and completing financial education modules.
Once earned, customers of the AI-powered platform can redeem points they earn for good behavior for cash. This is an entirely new way to think about financial incentives that also acts as a powerful way to improve financial literacy for many.
The new launch of Rewards 2.0 follows on from Debbie’s $5.3 million seed round, which brings the total funding for this startup to $8 million.
NAB Spotlight: intive on making AI a safe bet
At this year’s NAB Show in Las Vegas, intive is urging media leaders not to “treat your AI strategy like a gamble,” but to tie every initiative to clear KPIs.
As Kajetan Kurus, Senior Solution Architect at intive, argues in a recent article, most AI projects fail to deliver measurable ROI unless they focus on three pillars: operational efficiency, ad revenue optimization through sentiment-aware targeting, and predictive churn models that protect subscription income.
Siron and Forrester explore the next generation of AI-powered enterprise contracting
For enterprise businesses, contracts are hugely important for both providing and accessing goods and services. For these large, often global, entities, these contracts are often complex and have a significant value attached to them.
However, enterprise contracting is entering a more volatile, AI-driven environment according to experts at Siron and Forrester. At a webinar last month, expert analysts discussed how AI is reshaping enterprise contracting through intelligent Contract Lifecycle Management (CLM) to address the fragmented regulatory landscape and improve value creation across the contract lifecycle.
